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Causes of climate change

The causes of climate change comprise natural and anthropogenic factors that disrupt Earth's radiative energy balance, thereby altering global surface temperatures and atmospheric circulation patterns over timescales ranging from decades to millennia. Natural drivers include variations in solar irradiance, which have fluctuated by approximately 0.1% over the 20th century, major volcanic eruptions that temporarily cool the planet via stratospheric sulfate aerosols, and orbital forcings such as eccentricity, obliquity, and precession that operate on 20,000–100,000-year cycles. Anthropogenic influences primarily stem from elevated concentrations of greenhouse gases—carbon dioxide surpassing 420 ppm, methane exceeding 1,900 ppb—resulting from fossil fuel combustion, cement production, deforestation, and livestock emissions, alongside aerosol effects from industrial pollution that partially offset warming. Empirical data from ice cores, satellite measurements, and instrumental records document a global temperature increase of about 1.1°C since the late , with attribution analyses apportioning most post-1950 warming to human-induced forcings after accounting for natural variability. However, early 20th-century warming aligns more closely with and oscillations, and discrepancies persist between observed trends and simulations, which often overestimate recent warming rates when natural forcings are included. Key controversies center on the magnitude of equilibrium climate sensitivity—the expected long-term temperature response to doubled atmospheric CO2—which empirical assessments place in a broad range of 1.5–4.5°C, with some instrumentally derived estimates favoring the lower end and highlighting amplified natural feedbacks like or responses over model-derived values. Institutions such as the IPCC emphasize high-confidence dominance, yet critiques note systemic overreliance on tuned models that underperform in replicating paleoclimate variability or mid-century cooling phases influenced by aerosols and , underscoring uncertainties in causal attribution amid biased funding and publication incentives in academic climate research.

Fundamentals of Climate Dynamics

Radiative Forcing and Energy Balance

The Earth's climate system achieves thermal equilibrium when the energy absorbed from incoming shortwave solar radiation balances the outgoing longwave infrared radiation emitted to space. At the top of the atmosphere, the global average incoming solar flux is approximately 340 W/m², with about 100 W/m² reflected back to space by clouds, aerosols, atmospheric gases, and the surface, leaving roughly 240 W/m² absorbed by the Earth-atmosphere system. This absorbed energy is re-emitted as longwave radiation, maintaining a stable average surface temperature of about 288 K (15°C). The natural greenhouse effect, primarily from water vapor, carbon dioxide, and methane, intercepts a portion of this outgoing longwave radiation, absorbing and re-emitting it downward, which reduces the net flux to space by about 150 W/m² compared to a planet without an atmosphere. This trapping effect raises the surface temperature by approximately 33°C above the effective radiating temperature of 255 K that would prevail absent such absorption. Without this baseline forcing, Earth would be uninhabitably cold. Radiative forcing measures the perturbation to this induced by changes in atmospheric composition, input, surface , or other factors, expressed as the net change in (in W/m²) at the . Instantaneous radiative forcing assumes fixed temperatures except in the , capturing the direct flux change from the perturbation. A positive forcing creates a temporary surplus, prompting system warming that increases outgoing until is restored, while negative forcing induces cooling. Effective radiative forcing (ERF) refines this by including rapid adjustments, such as alterations in cloud cover, water vapor distribution, or lapse rate, that occur in response to the initial perturbation but before substantial global temperature shifts. ERF provides a more accurate indicator of the eventual temperature response, as it accounts for these near-immediate atmospheric and surface responses. Observational data from satellite measurements indicate Earth's current energy imbalance—effectively the net ERF after feedbacks—stands at about 0.9 W/m² averaged over 2005–2019, having roughly doubled from earlier decades due to accumulating forcings. This surplus drives heat accumulation primarily in the oceans.

Role of Natural Cycles in Baseline Variability

Natural climate variability arises primarily from internal oscillations within the Earth's climate system, including interactions between the atmosphere and oceans, as well as external drivers like periodic changes in solar output. These processes generate fluctuations in global mean surface temperature (GMST) and other metrics on timescales from years to centuries, establishing a baseline range of variability that predates significant anthropogenic influences. For instance, the El Niño-Southern Oscillation (ENSO) cycle, with a typical periodicity of 2–7 years, drives interannual GMST anomalies of approximately 0.1–0.2 °C during strong events, as sea surface temperatures in the equatorial Pacific redistribute heat globally via atmospheric teleconnections. Similarly, the 11-year solar cycle modulates total solar irradiance by about 1 W/m² at the top of the atmosphere, correlating with GMST variations of roughly 0.1 °C, as evidenced in 150 years of global sea surface temperature records. Longer-term modes, such as the (PDO) with 20–30 year phases and the Atlantic Multidecadal Oscillation (AMO) with 60–80 year cycles, further contribute to baseline multidecadal variability. The PDO influences temperatures and modulates ENSO activity, leading to GMST shifts of about 0.1–0.2 °C across its positive and negative phases, while the AMO drives North Atlantic sea surface temperature differences of 0.3–0.4 °C between phases, with downstream effects on global circulation patterns. Analyses of instrumental records from 1880 to 2017 indicate that such internal modes, including AMO and PDO analogs, account for roughly 30% of observed multi-decadal GMST changes, underscoring their role in setting the envelope of natural fluctuations against which trend detection occurs. These cycles demonstrate that climate exhibits inherent dynamism, with variability often rivaling or exceeding forced signals on decadal scales, as seen in non-monotonic 20th-century warming patterns even after low-pass filtering. Attribution studies must therefore isolate forcings from this baseline by employing statistical methods, such as optimal fingerprinting, that account for mode-specific patterns; failure to do so risks conflating internal noise with external drivers. Empirical reconstructions from proxies like tree rings and sediments confirm that pre-industrial variability aligns with these mechanisms, providing context for assessing whether modern excursions fall within or beyond historical norms.

Natural Causes

Solar Activity and Irradiance Changes

Solar activity encompasses phenomena such as sunspots, faculae, and coronal mass ejections, which vary cyclically, primarily on an 11-year Schwabe cycle driven by the Sun's dynamo. These variations modulate total solar irradiance (TSI), the integral solar energy flux at Earth's orbit, with cycle-amplitude fluctuations of approximately 1 W/m² (0.1% of the mean TSI value of 1361 W/m²). Longer-term modulations occur over decades to centuries, reconstructed via proxies including sunspot records, ¹⁰Be and ¹⁴C isotopes in ice cores and tree rings. Satellite radiometry since 1978, via instruments like those on SORCE and ACRIM series, confirms TSI's cyclic behavior without a net positive trend; post-1980, TSI exhibited a slight decline amid the modern grand maximum of solar activity ending around 2008-2009. This contrasts with global surface temperature increases of about 0.7°C since 1970, yielding an inverse correlation that precludes solar irradiance as the primary driver of late-20th- and 21st-century warming. Proxy-based TSI reconstructions indicate solar forcing contributed modestly to early-20th-century warming (roughly 0.1-0.2 W/m² net increase from 1900-1950), but forcing turned neutral or negative thereafter as activity waned, accounting for at most 7% of century-scale temperature change and negligible post-1980 influence. The peak-to-peak radiative forcing from an 11-year cycle is ~0.17 W/m², dwarfed by anthropogenic forcings exceeding 2 W/m². Empirical temperature responses to solar cycles yield sensitivities of 0.08-0.18 K per W/m², consistent with direct radiative effects but insufficient to explain observed trends absent amplification. Proposals for indirect solar influences—such as ultraviolet-driven stratospheric heating altering jet streams or cosmic-ray modulation of cloud nucleation—suggest potential amplification, with some multi-proxy models estimating total solar activity impacts up to twice direct TSI forcing. However, these mechanisms lack robust empirical validation and fail to reconcile the post-1980 solar-temperature divergence, as evidenced by unchanged low-cloud trends despite varying galactic cosmic rays. Causal attribution thus assigns solar variability a minor role in multidecadal climate shifts, subordinate to greenhouse gas accumulation in explaining contemporary disequilibrium.

Orbital Forcing (Milankovitch Cycles)

Orbital forcing arises from periodic variations in Earth's orbital parameters, which alter the distribution and intensity of incoming solar radiation, or insolation, across latitudes and seasons. These changes, quantified as variations in radiative forcing measured in watts per square meter (W/m²), influence global climate primarily over tens to hundreds of thousands of years through feedbacks involving ice sheets, ocean circulation, and atmospheric composition. The theory, developed by Milutin Milankovitch in the early 20th century, posits that such orbital perturbations initiate glacial-interglacial transitions by modulating summer insolation in the Northern Hemisphere high latitudes, where large ice sheets form or melt. Empirical evidence from ice cores, marine sediments, and speleothems confirms strong spectral peaks in paleoclimate records matching these cycles, particularly a dominant ~100,000-year periodicity in the late Pleistocene. The three primary Milankovitch cycles are eccentricity, obliquity, and precession. Eccentricity describes the deviation of Earth's orbit from a perfect circle, varying between 0.005 and 0.058 over cycles of approximately 100,000 years (with a longer ~413,000-year modulation), which modulates the Earth-Sun distance and thus the annual insolation contrast between perihelion and aphelion by up to 20-30%. Obliquity refers to the tilt of Earth's rotational axis, oscillating between 22.1° and 24.5° with a ~41,000-year period; greater tilt enhances seasonal extremes, increasing high-latitude summer insolation by up to 13% relative to lower latitudes and promoting ice melt during interglacials. Precession involves the precessional wobble of Earth's axis, combining ~19,000- and ~23,000-year cycles into an average ~21,000-year period, which shifts the timing of seasons relative to orbital position, amplifying or dampening insolation peaks when perihelion aligns with Northern Hemisphere summer. Combined, these yield insolation variations of up to 25% at 65°N during summer, sufficient to trigger albedo feedbacks where reduced ice cover lowers reflectivity and amplifies warming. Paleoclimate records demonstrate orbital forcing's causal role in Quaternary climate oscillations, with benthic oxygen isotope ratios from ocean sediments showing ~41,000-year obliquity dominance until ~1 million years ago, shifting to ~100,000-year eccentricity-paced cycles amid falling atmospheric CO₂ and expanding ice volumes. This transition, termed the Mid-Pleistocene Transition, reflects nonlinear amplifications via ice sheet dynamics and carbon cycle feedbacks, where low summer insolation favors snow persistence and glacial buildup. Model simulations and proxy data indicate orbital insolation changes of ~20-50 W/m² at key latitudes drove ~4-7°C global temperature swings between glacials and interglacials, with CO₂ rising ~80-100 ppm during deglaciations as a response and amplifier rather than primary driver. Such cycles have modulated climate for hundreds of millions of years, evident in older sedimentary records, underscoring their long-term pacing over shorter solar or volcanic forcings. In the current Holocene interglacial, which began ~11,700 years ago following the Last Glacial Maximum, orbital forcing trends toward declining Northern Hemisphere summer insolation, with eccentricity decreasing and precession shifting perihelion away from boreal summer, conditions historically conducive to glacial inception within ~1,500-50,000 years absent other influences. Total solar input varies minimally (~0.1-0.2%), but distributional shifts yield a net negative radiative forcing of ~0.5-1 W/m² globally over the past century from orbital parameters alone, insufficient to account for observed 20th-century warming rates exceeding 0.1°C per decade. Climate models incorporating orbital data confirm this forcing is dwarfed by anthropogenic greenhouse gas increases, which impose positive forcings of ~2-3 W/m², rendering Milankovitch effects negligible on centennial scales.

Volcanic Aerosols and Eruptions

Volcanic eruptions release sulfur dioxide (SO₂) into the stratosphere, where it oxidizes to form sulfuric acid aerosols that scatter incoming solar radiation, thereby reducing the amount of sunlight reaching Earth's surface and inducing a temporary global cooling effect. These aerosols typically persist for 1–3 years before settling out, limiting their influence to short-term climate perturbations rather than sustained trends. The magnitude of cooling depends on eruption size, plume height, latitude, and season, with tropical eruptions producing more widespread and prolonged effects due to stratospheric circulation patterns. The 1815 eruption of Mount Tambora in Indonesia, a VEI-7 event, ejected approximately 100–150 teragrams of SO₂, leading to a sulfate veil that lowered global temperatures by about 0.4–0.7°C in 1816, with regional drops exceeding 1°C in some areas and contributing to the "Year Without a Summer" characterized by crop failures and famines in Europe and North America. Model simulations indicate this cooling reduced global precipitation by roughly 3–5%, amplifying agricultural disruptions. Similarly, the 1991 Mount Pinatubo eruption in the Philippines injected around 20 teragrams of SO₂, resulting in a peak negative radiative forcing of approximately -3 W/m² and a global surface temperature decline of 0.4–0.5°C sustained for 1–2 years. In terms of radiative forcing, volcanic aerosols contribute a net negative effective radiative forcing (ERF) that fluctuates with eruption frequency but averages near zero over decadal scales, as assessed in IPCC AR6, with individual large events exerting forcings of -1 to -5 W/m² for months to years. Unlike persistent greenhouse gases, this forcing is transient and does not accumulate, serving primarily to introduce interannual variability that can temporarily mask underlying trends. Empirical reconstructions show that volcanic activity has been subdued since the mid-20th century, with no major stratospheric injections comparable to Pinatubo, contributing negligibly to the observed multi-decadal warming. While subaerial volcanoes emit CO₂—estimated at 0.13–0.44 gigatons annually, dwarfed by anthropogenic sources—their net climatic role remains cooling-dominant in the short term due to aerosol dominance over trace gas releases. Recent events like the 2022 Hunga Tonga–Hunga Ha'apai eruption introduced stratospheric water vapor, which has a warming influence via enhanced radiative absorption, but its overall forcing (+0.05 to +0.1 W/m²) is minor and short-lived compared to aerosol cooling from prior eruptions. Long-term geological records indicate volcanic forcing has driven past climate shifts, such as cooling episodes in the Holocene, but current low eruptivity underscores that natural volcanic variability does not explain the rapid 20th–21st century temperature rise, which aligns more closely with sustained positive forcings from other agents. Attribution studies confirm volcanoes as a modulator of decadal fluctuations rather than a primary driver of directional change.

Ocean-Atmosphere Oscillations

Ocean-atmosphere oscillations encompass coupled modes of variability between oceanic and atmospheric circulation, manifesting on interannual to multidecadal timescales and driving regional to global climate fluctuations through heat redistribution and teleconnections. These patterns, including the El Niño-Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), and Atlantic Multidecadal Oscillation (AMO), arise from internal dynamics such as wind-driven upwelling, thermocline adjustments, and basin-scale sea surface temperature (SST) anomalies, independent of external forcings like solar or volcanic activity. Empirical reconstructions from SST observations since the mid-19th century reveal these oscillations as superimposed on baseline climate states, contributing to decadal-scale temperature variances of 0.1–0.3°C globally. The ENSO, centered in the tropical Pacific, operates on 2–7 year cycles, with El Niño phases characterized by weakened trade winds, suppressed equatorial upwelling, and eastward propagation of warm SST anomalies exceeding 0.5°C, which enhance global tropospheric temperatures via atmospheric convection shifts and reduced heat release to deeper oceans. La Niña counterparts involve cooler eastern Pacific SSTs and intensified trades, yielding opposite cooling effects. Observations link strong El Niño events, such as those in 1997–1998 and 2015–2016, to temporary global surface temperature rises of approximately 0.1–0.15°C above trend lines, as seen in the 2023 spike of 0.29 ± 0.04 K from 2022 baselines driven by concurrent ENSO onset amid elevated baseline warmth. These impacts extend via teleconnections, altering jet streams and precipitation, though ENSO amplitude shows no statistically significant long-term trend in instrumental records spanning 1850–2020. On decadal scales, the PDO features an El Niño-like SST dipole in the North Pacific north of 20°N, with positive phases (e.g., 1925–1946, 1977–1998) correlating with cooler central tropical Pacific waters and enhanced Aleutian Low pressure, influencing North American drought frequency and modulating ENSO teleconnections to extratropics. Instrumental indices derived from 1900–present SST data indicate PDO shifts explain up to 40% of North Pacific decadal temperature variance, with negative phases (e.g., post-2000) linked to intensified marine heatwaves in the Northeast Pacific via altered stratification. Similarly, the AMO involves basin-wide North Atlantic SST fluctuations on 60–80 year periods, with positive phases (e.g., since ~1995) associated with weakened meridional overturning and radiative feedbacks amplifying hemispheric warmth by 0.1–0.2°C. AMO-positive intervals correlate with Sahel rainfall increases and U.S. Southeast droughts, while interconnections, such as AMO modulation of ENSO–North Atlantic Oscillation links, introduce nonstationarities in teleconnection strengths. Despite widespread use in climate analyses, the oscillatory persistence of PDO and AMO faces scrutiny; statistical decompositions of 1850–2018 SST fields suggest these modes may reflect stochastic noise or external forcing responses rather than autonomous internal cycles, with no detectable multidecadal signal in preindustrial simulations or noise-filtered observations. Nonetheless, their empirical signatures in reanalysis data (e.g., ERA5, 1950–2020) confirm roles in modulating interannual-to-decadal climate signals, such as PDO's contribution to Pacific salmon productivity declines during cool phases and AMO's influence on Eurasian heat extremes via thermodynamic pathways. These oscillations thus represent intrinsic variability that can mask or accentuate underlying trends but lack the sustained forcing needed for centennial-scale change.

Anthropogenic Influences

Greenhouse Gas Emissions

Anthropogenic emissions of greenhouse gases have elevated atmospheric concentrations beyond pre-industrial levels, primarily through combustion of fossil fuels, land-use changes, and industrial processes. Carbon dioxide (CO₂) dominates, comprising 74.5% of total global greenhouse gas emissions in 2024, followed by methane (CH₄) at 17.9% and nitrous oxide (N₂O) at 4%. These emissions, measured in CO₂-equivalent terms, totaled approximately 53 GtCO₂eq in 2023 excluding land-use changes. CO₂ emissions from fossil fuels and cement production reached a record 37.4 Gt in 2024, up 0.8% from the prior year, driven largely by coal (44%), oil (32%), and natural gas (22%) combustion. Energy-related activities, including electricity generation and transportation, account for the majority, with industrial processes like cement manufacturing contributing about 8% of global CO₂ or 2.8 Gt annually. Deforestation and land-use changes add further CO₂ releases, though estimates vary; cumulative anthropogenic CO₂ from 1750 to 2022 totals around 2,500 Gt, with fossil sources predominant since the mid-20th century. Atmospheric CO₂, measured continuously at Mauna Loa Observatory since 1958, averaged 424.61 ppm in 2024, up from 315 ppm at the record's start and 280 ppm pre-industrially, with the annual growth rate accelerating to 2.5 ppm in recent years. Methane emissions, with a global warming potential 28–34 times that of CO₂ over 100 years, stem mainly from agriculture (38% of anthropogenic total), including enteric fermentation in livestock (28%) and rice cultivation, alongside energy sector leaks (35%) and waste decomposition in landfills (20%). Globally, anthropogenic CH₄ reached about 380 Mt in recent estimates, with agriculture as the largest source due to manure management and anaerobic processes. Incomplete biomass combustion, including agricultural waste, adds nearly 18 Mt annually. Nitrous oxide, with a warming potential 265–298 times CO₂, arises predominantly from agriculture, which drives nearly three-quarters of human emissions through synthetic fertilizers, manure, and soil management practices. Nitrogen inputs to soils stimulate microbial N₂O production, accounting for over 60% of global anthropogenic sources, with U.S. agricultural soils alone responsible for 69% of domestic N₂O. Fluorinated gases, though minor in volume (<1% of total GHG), have high potency from industrial uses like refrigeration and semiconductors.
Greenhouse GasShare of Total Emissions (2024)Primary Anthropogenic Sources
CO₂74.5%Fossil fuel combustion, cement production
CH₄17.9%Agriculture, energy fugitives, waste
N₂O4%Agricultural fertilizers and manure
Fluorinated<1%Industrial processes
These emissions enhance radiative forcing, with CO₂ alone contributing about 2.16 W/m² since 1750 per assessments, though uncertainties in non-CO₂ forcings persist due to incomplete source inventories. Empirical data from direct measurements, such as NOAA's long-term records, provide robust verification, contrasting with model-dependent estimates from institutions prone to aggregation biases.

Aerosols from Human Activities

Anthropogenic aerosols consist of fine particulate matter emitted primarily from fossil fuel combustion, industrial processes, and biomass burning, including sulfates from sulfur dioxide (SO₂) oxidation, black carbon from incomplete combustion, organic carbon, and nitrates. These particles have atmospheric lifetimes of days to weeks, exerting short-term influences on regional and global radiative balance. Sulfate aerosols predominantly cause cooling through direct scattering of incoming solar radiation and indirect enhancement of cloud albedo by serving as cloud condensation nuclei, increasing droplet numbers and reflectivity. Black carbon, conversely, absorbs radiation, contributing a warming effect, though the net anthropogenic aerosol forcing remains negative. According to IPCC AR6 assessments, the effective radiative forcing (ERF) from aerosol-radiation interactions (ERFari) and aerosol-cloud interactions (ERFaci) combined yields a likely range of -1.0 to -0.2 W/m² from 1750 to 2019, with high uncertainty due to challenges in quantifying indirect effects. Emissions have historically offset a portion of greenhouse gas warming, particularly over industrialized regions like Europe and North America since the mid-20th century, where sulfate burdens peaked before declining due to air quality regulations. Globally, SO₂ emissions, a key sulfate precursor, have fallen by approximately 40% since the mid-2000s, driven by reductions in China exceeding 70%. This decline has unmasked underlying warming, contributing to accelerated surface temperature rises observed post-2010, with studies attributing 0.2–0.5°C of recent East Asian warming to aerosol reductions. Further aerosol decreases from shipping fuel regulations, such as the 2020 IMO low-sulfur mandate, have regionally amplified heat uptake, with model estimates indicating enhanced ocean warming from reduced ship-track cloud brightening. While black carbon emissions continue from sources like diesel engines and wildfires exacerbated by land use, their forcing (+0.2 to +0.5 W/m²) is smaller than sulfate cooling, maintaining a net cooling dominance amid ongoing uncertainties in cloud mediation and vertical distribution. Future clean air policies may thus intensify transient warming until greenhouse gas controls prevail.

Land Surface Modifications

Land surface modifications encompass anthropogenic alterations to vegetation cover, soil characteristics, and urban landscapes, which modify key surface properties including albedo, evapotranspiration (ET), and aerodynamic roughness. These changes influence the land-atmosphere exchange of energy, momentum, and water vapor, primarily exerting regional climate impacts through biogeophysical pathways rather than direct greenhouse gas forcing. Globally, the effective radiative forcing (ERF) from land use and land cover changes (LULCC) since pre-industrial times is estimated at -0.1 to -0.2 W m⁻², indicating a net cooling effect that partially offsets anthropogenic warming from other sources. Deforestation, a dominant form of LULCC, typically increases surface albedo by replacing dark forest canopies (albedo ~0.10-0.15) with lighter bare soil, grasslands, or crops (albedo ~0.20-0.25), enhancing shortwave reflection and exerting a cooling influence, particularly at higher latitudes. However, this albedo brightening is often outweighed by reduced ET in tropical regions, where forests maintain high latent heat fluxes; conversion to drier land uses diminishes moisture recycling and cloud formation, leading to net surface warming of 0.5-1.5°C locally in the tropics. A modeling study of hypothetical global deforestation projects a biogeophysical warming of approximately 0.9°C after 100 years, compounded by short-lived climate forcer responses but independent of carbon emissions. Observed global tree cover loss averaged 15 million hectares annually from 2001-2022, amplifying these effects in biodiversity hotspots like the Amazon and Southeast Asia. Urbanization intensifies local warming via the urban heat island (UHI) effect, where impervious surfaces like asphalt and concrete lower albedo (to ~0.05-0.15) and curb vegetation, reducing ET and increasing sensible heat flux. This results in nighttime temperature elevations of 1-3°C in cities compared to rural surroundings, with regional amplification detectable in continental trends; for instance, rapid urbanization in East Asia has contributed 0.1-0.2°C to observed warming since 1980 beyond global background changes. Globally, however, urban areas cover less than 1% of land surface, limiting their contribution to total anthropogenic forcing to under 0.05 W m⁻². Irrigation in agricultural expansions can locally cool surfaces by 1-2°C through enhanced ET, counteracting some warming in arid zones, though overall agricultural LULCC—spanning 40% of ice-free land—yields mixed biogeophysical signals dominated by albedo increases from cropland conversion. These modifications interact with feedbacks, such as altered cloud cover from reducing planetary boundary layer stability, potentially extending warming influences downwind. While empirical satellite data confirm albedo rises of 0.01-0.02 in deforested areas over 2000-2020, uncertainties persist in quantifying non-radiative effects like surface roughness changes, which models suggest could amplify tropical warming by 20-50%. Attribution studies indicate accounts for 5-10% of regional temperature variability in modified landscapes, underscoring its role as a modulator rather than primary driver of global change.

Attribution Methods

Detection Techniques

Detection techniques aim to identify statistically significant changes in climate variables that cannot be explained by internal variability alone, establishing that an observed alteration exceeds the range expected from unforced climate fluctuations. This process treats climate data as a "signal-plus-noise" problem, where the signal represents a potential forced response and noise stems from chaotic internal dynamics. Typically, detection requires demonstrating a low probability—often below 5% or 10%—that the observed change arose by chance under natural variability. Basic statistical methods for detection include trend analysis on time series data, such as linear regression to estimate the slope of changes in variables like global mean surface temperature, with significance tested via t-statistics adjusted for autocorrelation using techniques like effective sample size reduction or prewhitening. Non-parametric tests, including the Mann-Kendall test, detect monotonic trends robust to non-normal distributions and outliers, applied to datasets spanning decades to centuries for variables like precipitation or sea level rise. Changepoint detection algorithms, such as those based on Bayesian inference or cumulative sum tests, identify abrupt shifts in mean or variance, useful for assessing discontinuities in records influenced by factors like urbanization in local temperature data. These methods require preprocessing to address data inhomogeneities, such as instrument changes or urban heat effects, often via homogenization procedures like those in the HadCRUT dataset. Model-based approaches enhance detection by estimating internal variability from long unforced control simulations in general circulation models (GCMs), comparing observed anomalies against the distribution of simulated natural fluctuations to test if observations fall outside, say, the 95th percentile. For instance, multi-millennial control runs from models like ensembles provide noise estimates for global temperature, revealing detection of warming signals as early as the mid-20th century when observations diverge from variability bounds. Spatial field significance tests account for multiple comparisons across grid points, using Monte Carlo resampling of model noise to avoid false positives in pattern-wide detection, as applied to tropospheric warming patterns. However, reliance on models introduces uncertainty, as GCMs often underestimate observed variability at decadal to centennial scales, potentially inflating detection confidence. Advanced techniques employ optimal estimation methods, such as generalized least squares regression, to detect signals by projecting observations onto estimated response patterns scaled to minimize noise influence, incorporating covariance from model-derived variability. These have detected changes in zonal mean temperature profiles since the 1970s, with signal-to-noise ratios exceeding unity in the troposphere. For extremes, block bootstrap resampling or return level analysis detects shifts in tail distributions, comparing observed event frequencies to those under fitted stationary models versus trend-inclusive ones. Detection frameworks emphasize ensemble approaches across multiple models and observations to quantify robustness, though challenges persist in sparse data regions and non-stationary noise assumptions.

Fingerprinting and Optimal Estimation

Fingerprinting in climate detection and attribution identifies distinctive spatial and temporal patterns, or "fingerprints," associated with specific external forcings, such as the characteristic tropospheric warming combined with stratospheric cooling expected from greenhouse gas increases, contrasting with uniform warming in both layers from solar irradiance changes. This approach distinguishes anthropogenic signals from natural variability by comparing observed data against model-simulated patterns scaled to match the forcing efficacy. Optimal estimation, often implemented as optimal fingerprinting, employs a generalized least squares regression framework to estimate the scaling factors β that best fit observed climate responses Y to a linear combination of fingerprints X_i from individual forcings: Y ≈ Σ β_i X_i + ε, where ε represents internal variability. The method optimally weights observations by the inverse of the covariance matrix of noise, derived from control simulations, to maximize signal-to-noise ratio and minimize estimation uncertainty. Confidence in β estimates, typically indicating the presence (β ≠ 0) or amplitude of a forcing, relies on assumptions of Gaussian errors and accurate representation of variability in climate models. Applications include attributing over 100% of recent global mean surface temperature rise to anthropogenic forcings in multi-model studies, with fingerprints confirming greenhouse gas dominance through patterns like enhanced Arctic warming and land-ocean contrasts. However, the technique's reliance on model-generated fingerprints introduces dependencies on simulation fidelity; discrepancies arise if models underestimate natural variability scales or omit forcings like multidecadal oscillations. Small ensemble sizes challenge covariance estimation, potentially biasing β towards unity and inflating attribution confidence. Critics highlight risks of spurious attribution from non-stationary trends in variability or model errors in extremes, where simulations may overestimate anthropogenic influence due to inadequate resolution of local processes. Regularized variants address overfitting in high-dimensional data but do not resolve fundamental issues of incomplete forcing representations or validation against independent paleoclimate analogs. Despite these, optimal fingerprinting remains a cornerstone for quantifying causal contributions, with β > 1 often interpreted as amplified responses via feedbacks, though empirical of persists as an unresolved .

Climate Model Simulations

Climate model simulations form a core component of detection and attribution analyses by generating synthetic climate states under controlled forcing scenarios, allowing researchers to isolate signals from specific causes such as greenhouse gases, aerosols, or natural factors like solar variability and volcanic eruptions. These simulations typically employ general circulation models (GCMs) or Earth system models (ESMs) configured in multi-model ensembles, such as those from the Coupled Model Intercomparison Project (CMIP) phases 5 and 6, to account for structural uncertainties across different modeling centers. In attribution setups, models are driven by historical reconstructions of forcings: control runs maintain pre-industrial conditions to represent internal variability; natural-only simulations incorporate solar irradiance changes and volcanic aerosol injections; and all-forcing runs include anthropogenic influences alongside natural ones. The resulting simulated patterns, or "fingerprints," such as stratospheric cooling or tropospheric warming, are statistically compared to observations using techniques like optimal fingerprinting, where regression scaling factors indicate the amplitude of each forcing's contribution relative to model predictions. The Detection and Attribution Model Intercomparison Project (DAMIP), integrated into CMIP6, standardizes single-forcing experiments to facilitate robust multi-model assessments, enabling quantification of responses to greenhouse gas increases, ozone depletion, land use changes, and aerosols separately. For instance, CMIP6 ensembles simulate that anthropogenic forcings account for the majority of observed global surface temperature rise since 1850, with natural forcings contributing minimally or offsetting slightly in recent decades due to volcanic cooling episodes. These simulations reveal detectable fingerprints in metrics like global mean temperature, where all-forcing runs closely match observations after 1950, while natural-only runs diverge, showing little net warming. However, attribution confidence depends on ensemble size to average out unforced internal variability, with larger ensembles reducing noise and enhancing signal detection. Despite advancements, significant uncertainties persist in model simulations underpinning attribution. GCMs exhibit biases in simulating natural variability across timescales, including underestimating multidecadal ocean-atmosphere oscillations that can mimic or mask forced trends, potentially leading to overattribution to anthropogenic causes. CMIP6 models, in particular, display a wider range of equilibrium climate sensitivity (2.0–5.6°C) than prior assessments, with several "hot" models projecting excessive historical warming when compared to instrumental records, raising questions about their fidelity for precise forcing decomposition. Representation of aerosols remains challenging, as indirect effects on clouds introduce large error bars in radiative forcing estimates, affecting the simulated balance between greenhouse gas warming and aerosol cooling. Moreover, dynamic processes like convection and precipitation responses show persistent model spread, complicating regional attribution and highlighting the need for emergent constraints from observations to calibrate simulations. These limitations imply that while models support detection of anthropogenic signals, attribution fractions carry uncertainties that formal statistical methods may not fully capture, especially for transient climates where feedbacks evolve.

Debates and Uncertainties

Evidence for Anthropogenic Dominance

The rise in atmospheric CO₂ from pre-industrial levels of approximately 280 ppm to over 420 ppm by 2024 correlates directly with cumulative anthropogenic emissions exceeding 2,500 gigatons of CO₂ since 1750, with isotopic analysis confirming fossil fuel origins through a decline in the δ¹³C value from -6.5‰ to -8.5‰ between 1850 and 2020, as lighter ¹³C-depleted carbon from ancient organic sources dilutes the heavier biogenic signature. This depletion, absent in natural carbon cycle fluctuations, rules out dominant contributions from oceanic outgassing or vegetation changes, which would exhibit distinct isotopic ratios. Effective radiative forcing (ERF) assessments quantify anthropogenic greenhouse gases as the primary driver of Earth's energy imbalance, with CO₂ contributing +2.16 W/m², methane and other well-mixed gases +1.00 W/m², and total long-lived GHGs +3.24 W/m² from 1750 to 2019, offset partially by aerosol cooling (-1.3 W/m²) for a net anthropogenic ERF of +2.72 W/m²; in contrast, natural solar forcing averages +0.05 W/m² and volcanic forcing near zero over the industrial era. This imbalance, measured via satellite observations as +0.79 ± 0.12 W/m² at the top of the atmosphere since 2000, aligns with anthropogenic forcing magnitudes and cannot be explained by natural variability alone, as solar irradiance has remained flat or slightly declined since the 1950s. A distinctive vertical fingerprint of anthropogenic influence appears in the tropospheric warming (+0.18°C per decade since 1979) contrasted with stratospheric cooling (-0.3 to -0.5°C per decade above 20 km), a pattern predicted by radiative transfer models for elevated GHG concentrations trapping heat in the lower atmosphere while allowing increased outgoing longwave radiation escape from higher altitudes; solar forcing, by contrast, would warm both layers uniformly. This signature persists after accounting for ozone depletion and volcanic aerosols, with multi-model simulations reproducing the observed profile only when including anthropogenic forcings. Optimal fingerprinting attribution analyses, employing generalized least squares regression on spatial-temperature patterns, consistently detect human-induced signals with scaling factors near unity (0.8–1.2) for post-1950 global warming, indicating that internal variability and natural forcings alone project minimal or negative trends (e.g., -0.1°C over 1951–2020), while anthropogenic simulations match the observed +0.9°C rise. These methods, robust to noise from El Niño-Southern Oscillation or volcanic events, attribute over 100% of recent warming to human activities, as natural factors counteract each other—dimming solar activity and episodic cooling volcanoes insufficient to offset GHG-driven trends. Peer-reviewed syntheses affirm this dominance, though reliant on model tuning, with empirical adjustments yielding consistent results across independent datasets.

Role of Natural Factors in Recent Warming

Natural factors potentially influencing recent global warming—defined here as the observed temperature rise of approximately 0.8–1.0°C since 1950—include variations in solar irradiance, volcanic aerosol emissions, and internal climate oscillations such as the El Niño-Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), and Atlantic Multidecadal Oscillation (AMO). These factors have historically driven climate variability over centuries to millennia, but their net contribution to the post-1950 trend is limited according to most attribution analyses, which separate forced trends from oscillatory noise. Solar variability, primarily through changes in total solar irradiance (TSI), peaked during the early 20th century and has remained stable or slightly declined since the 1980s amid the modern grand solar maximum, correlating poorly with the accelerating warming trend post-1970. Reconstructions indicate TSI variations contribute at most 0.1°C to global temperature anomalies per solar cycle, insufficient to explain the multi-decadal rise when isolated from anthropogenic forcings. Some empirical models propose indirect solar effects via cosmic ray modulation of clouds or amplified irradiance responses could account for 25–50% of 20th-century warming, but these remain contested due to inconsistencies with satellite TSI measurements and lack of consensus in general circulation models. Volcanic eruptions inject stratospheric sulfate aerosols that reflect sunlight, inducing temporary global cooling of 0.1–0.5°C lasting 1–3 years, as seen with Mount Pinatubo in 1991, which offset warming briefly before temperatures rebounded. The frequency of large eruptions (VEI ≥5) has been lower since the mid-20th century compared to earlier periods, reducing episodic cooling and unmasking underlying trends, but volcanic CO2 emissions contribute negligibly to long-term forcing (less than 1% of annual anthropogenic emissions). No sustained volcanic forcing drives recent warming; instead, aerosols modulate short-term variability without altering the centennial trend. Internal variability from ocean-atmosphere modes like ENSO introduces interannual fluctuations, with strong El Niño events (e.g., 1997–1998, 2015–2016) elevating global temperatures by 0.1–0.2°C temporarily, while La Niña phases cool equivalently. PDO and AMO exhibit multidecadal phases that regionally amplify or dampen trends—positive PDO (roughly 1976–1998) coincided with enhanced North Pacific warming—but globally, these oscillations average to near-zero net forcing over decades, failing to produce the observed monotonic rise when simulated without external drivers. Detection studies, using optimal fingerprinting, attribute less than 10% of post-1950 warming to combined natural variability, as unforced model ensembles cluster around zero trend while observations diverge upward. Dissenting views emphasizing amplified natural cycles exist but require assumptions beyond direct radiative measurements, highlighting ongoing debates over proxy reconstructions and model sensitivities.

Criticisms of IPCC Attribution

Critics of the IPCC's attribution of recent climate change primarily to anthropogenic greenhouse gases contend that the core methods, such as optimal fingerprinting, rely on flawed statistical assumptions and climate models that inadequately represent natural variability. Optimal fingerprinting, introduced in Allen and Tett (1999) and central to IPCC assessments since the Third Assessment Report, involves regressing observed climate data against simulated "fingerprints" of external forcings from general circulation models (GCMs), scaling them to estimate contributions from factors like greenhouse gases. However, Ross McKitrick has demonstrated that this approach misapplies the Gauss-Markov theorem for optimal linear unbiased estimation by neglecting conditional independence requirements in the error structure, yielding biased coefficients and invalid confidence intervals when regressing against multi-model means. This statistical deficiency persists in IPCC analyses, as the method assumes error covariance matrices derived from models are accurate despite known model-observation mismatches, potentially inflating the detected signal from anthropogenic forcings. A related issue is the underestimation of natural internal variability in GCMs, which forms the noise against which forced signals are detected. GCM ensembles systematically fail to replicate observed variability across spatiotemporal scales—from interannual oscillations like El Niño-Southern Oscillation to multidecadal modes such as the Atlantic Multidecadal Oscillation—often producing variance that is too low compared to paleoclimate proxies and instrumental records. For instance, model simulations of Holocene variability exhibit damped amplitudes relative to reconstructions from ice cores and tree rings, suggesting that recent warming attributed to humans may partly reflect unmodeled natural fluctuations rather than external forcings alone. This shortfall implies that detection thresholds are too sensitive, as residual consistency tests in fingerprinting lack formal null hypotheses and power analyses to distinguish forced changes from variability, leading to overconfident attribution. Model dependencies introduce further circularity, as GCMs embed presuppositions of high equilibrium climate sensitivity (around 3°C per CO2 doubling) and strong positive feedbacks, which are tuned to reproduce 20th-century warming patterns assumed to be GHG-dominated. Empirical estimates of sensitivity, derived from observational data without relying on model feedbacks, yield lower values (e.g., 1.1–2.0°C), indicating that IPCC models may overestimate the GHG fingerprint and undervalue alternatives like solar or oceanic influences. Moreover, errors-in-variables problems in fingerprint regression—where both observations and model signals contain noise—underestimate uncertainties, as standard methods fail to fully propagate covariance from model structural deficiencies. Analyses show that if model response patterns correlate spuriously with observations due to shared biases (e.g., in tropical tropospheric amplification), detection can falsely attribute trends to forcings, with rejection rates exceeding 50% under null scenarios of pure variability. These methodological critiques, advanced by statisticians and climatologists including McKitrick and co-authors in peer-reviewed journals, underscore that IPCC attribution statements—such as "human influence very likely caused >100% of observed warming since 1950" in AR6—rest on assumptions vulnerable to revision if natural variability or alternative forcings prove more influential than modeled. While IPCC reports acknowledge uncertainties, dissenting analyses argue that consensus processes marginalize such flaws, prioritizing model agreement over empirical falsification of natural explanations. Ongoing debates highlight the need for attribution methods robust to unmodeled processes, such as improved heteroskedasticity-consistent estimators or independent variability benchmarks from paleodata.

Feedback Mechanisms

Positive Feedbacks

The water vapor feedback is the largest contributor to positive amplification in the climate system, arising from the Clausius-Clapeyron relation whereby warmer air accommodates exponentially more atmospheric moisture, enhancing the greenhouse effect as water vapor traps outgoing longwave radiation. This process is thermodynamically constrained, with relative humidity remaining roughly constant, leading to a feedback strength of approximately +1.6 to +2.0 W/m² per Kelvin of surface warming in global climate models and supported by satellite observations of tropospheric humidity trends. The feedback is most pronounced in the tropical upper troposphere, where increased vapor reduces radiative cooling to space, and it accounts for about half of the net positive feedback in equilibrium climate sensitivity estimates, which range from 2.5°C to 4.0°C per CO₂ doubling. The surface albedo feedback results from diminished reflectivity as snow and sea ice melt, exposing darker land or ocean surfaces that absorb more shortwave solar radiation; this effect is regionally dominant in the Arctic, contributing to amplification factors of 2 to 4 times the global mean warming rate observed since 1979. Satellite measurements confirm declining Arctic sea ice extent, from 7.5 million km² in September 1979 to 4.2 million km² in 2023, with models attributing 20-50% of polar warming to this feedback under CO₂ forcing scenarios. The feedback's strength is estimated at +0.2 to +0.5 W/m² per Kelvin globally, but higher locally due to nonlinear ice loss dynamics. Cloud feedbacks, involving alterations in cloud amount, altitude, and optical properties, are assessed as net positive, with low-level cloud reductions allowing more surface solar heating while high clouds trap additional infrared radiation. Instrumental records from 2000-2019, including CERES satellite data, indicate a shortwave cloud feedback of +0.5 ± 0.1 W/m² per Kelvin, constraining total cloud feedback to +0.4 to +0.8 W/m² per Kelvin and supporting climate sensitivities above 2°C. Uncertainties persist in mid-latitude storm tracks and convective regimes, but process-oriented studies reduce earlier model spread. Biogeochemical positive feedbacks stem from carbon cycle dynamics, where warming stimulates soil respiration and reduces vegetation uptake, elevating atmospheric CO₂ concentrations beyond emissions alone. The permafrost carbon feedback, involving thaw of 1,300-1,600 GtC stored in northern frozen soils, is projected to release 10-100 GtC as CO₂ and CH₄ by 2100 under RCP8.5 scenarios, equivalent to 0.1-0.2°C additional warming. Land carbon feedbacks, including tropical forest dieback, may amplify committed warming by 10-25% in Earth system models, though observational constraints from flux towers and inventory data indicate current sinks remain robust but vulnerable to exceeding 2°C. These feedbacks exhibit state dependence, with magnitudes increasing nonlinearly at higher temperatures due to tipping-like thresholds in ecosystems.

Negative Feedbacks and Stabilizing Processes

Negative feedbacks in the climate system act to dampen temperature perturbations, promoting stability by counteracting initial forcings such as increased greenhouse gas concentrations. The dominant negative feedback is the Planck response, whereby a warmer surface emits more longwave radiation to space following the Stefan-Boltzmann law, with a radiative forcing of approximately -3.2 W/m² per Kelvin of surface warming. This feedback arises from the increased blackbody emissivity at higher temperatures and is present across all climate models and observations, serving as the baseline stabilizing mechanism before other feedbacks modulate it. The lapse rate feedback provides additional stabilization, particularly in tropical regions, where enhanced moist convection leads to greater warming in the upper troposphere relative to the surface, increasing outgoing radiation efficiency. This results in a net negative feedback of about -0.8 to -1.0 W/m²/K globally, though it turns positive in polar areas due to surface-dominated warming. Empirical estimates from satellite data and reanalyses confirm this pattern, with the feedback strengthening under warming scenarios through amplified convective adjustment. Certain cloud processes contribute negatively, notably reductions in low-level marine stratocumulus clouds over subtropical oceans, which decrease cloud cover and albedo but are offset by shortwave reflection gains in some assessments; however, observational constraints from CERES data indicate a tropical low-cloud feedback of -0.51 ± 0.28 W/m²/K, driven by negative shortwave cloud amount changes. Despite overall cloud feedback estimates leaning positive in ensemble models, empirical evidence from ship tracks and satellite imagery highlights stabilizing roles for low clouds in reflecting solar radiation, with uncertainties arising from aerosol interactions and boundary layer dynamics. Biogeochemical feedbacks, such as CO2 fertilization, enhance terrestrial photosynthesis and net primary productivity, increasing carbon uptake by vegetation and acting as a negative loop on atmospheric CO2 rise; satellite-derived greening trends from 1982–2015 absorbed an estimated 25–30% of anthropogenic emissions via this mechanism. However, post-2000 data show a declining fertilization effect, potentially halving its sink strength due to nutrient limitations and concurrent warming stresses, reducing the feedback's long-term efficacy. Over geological timescales, silicate weathering of continental rocks consumes CO2, providing a slow but potent stabilizing process that has maintained Earth's habitability for billions of years, as evidenced by paleoclimate proxies showing temperature-CO2 correlations bounded by this feedback. Carbonate-silicate cycling models indicate a sensitivity that regulates CO2 to levels preventing runaway greenhouse states, with empirical flux estimates from river chemistry confirming drawdown rates scaling with temperature and erosion. These processes underscore the climate system's inherent resilience, though anthropogenic rates exceed natural adjustment speeds by factors of 10–100.

References

  1. [1]
    Global climate change: the loop between cause and impact
    Both natural and anthropogenic causes cause it. The natural causes are a variation of Earth's orbit, solar variability, plate tectonics, and volcanic eruptions.
  2. [2]
    The Scientific Case for Modern Anthropogenic Global Warming
    Climate is controlled by a number of factors, including changes in the earth's orbit, possibly solar variability, possibly volcanoes, and the greenhouse effect.<|separator|>
  3. [3]
    Natural vs anthropogenic climate change - Energy Education
    Human induced climate change is directly linked to the amount of fossil fuels burned, aerosol releases and land alteration from agriculture and deforestation.
  4. [4]
    (PDF) Anthropogenic and natural causes of climate change
    Aug 9, 2025 · We find that both natural and anthropogenic forcings cause temperature change and also that temperature causes greenhouse gas concentration changes.
  5. [5]
    Estimation of natural and anthropogenic contributions to twentieth ...
    Aug 27, 2002 · Over the entire century, natural forcings give a linear trend close to zero. We found no evidence that simulated changes in near-surface ...Missing: debate | Show results with:debate
  6. [6]
    Contributions of Natural and Anthropogenic Forcing Agents to the ...
    The recent advances in climate models and the knowledge of forcing factors motivated us to reevaluate the contributions of natural and anthropogenic factors to ...
  7. [7]
    Detection, attribution, and modeling of climate change: Key open ...
    May 13, 2025 · This paper discusses a number of key open issues in climate science. It argues that global climate models still fail on natural variability at all scales.
  8. [8]
    Assessing the robustness and implications of econometric estimates ...
    Feb 4, 2025 · We here present a new TCR estimate of 2.17 (1.72–2.77) ∘ C (95% confidence interval), derived based on a statistical relationship between surface air ...
  9. [9]
    Debates on the Causes of Global Warming - ScienceDirect.com
    Mar 25, 2012 · IPCC holds that today's global warming is mainly due to anthropogenic activities rather than natural variability, which is emphasized by NIPCC.
  10. [10]
    Earth's Energy Budget | MyNASAData
    The units of energy employed in measuring this incoming and outgoing radiation are watts per square meter (W/m2). Earth's Radiation budget incoming and outgoing ...
  11. [11]
    [PDF] Tracking Changes in Earth's Energy Budget
    Incoming Solar. Radiation. 340. (339.9, 340.1). Reflected Solar. Radiation. -99 ... Goal is to produce a long-term, integrated global climate data record (CDR) of.
  12. [12]
    The Earth-Atmosphere Energy Balance - NOAA
    Jun 6, 2023 · The Earth-Atmosphere Energy Balance ; +47, Absorbed shortwave radiation from the sun. -116, Longwave radiation emitted by the surface.
  13. [13]
    12 Radiative Forcing and Feedback - The National Academies Press
    Here H denotes the greenhouse effect (150 W/m2 for the present climate). The radiative forcing (process 1) simultaneously increases H and reduces F, so that ...Radiative Forcing · Radiative Feedback... · Water Vapor Feedback
  14. [14]
    Greenhouse effect - Encyclopedia of the Environment
    Aug 20, 2025 · The radiative forcing of all greenhouse gases from 1750 to 2019 is 3.8 W/m2. Other forcings, mainly aerosols, reduce the total anthropogenic ...The physical basics · How does the greenhouse... · The different greenhouse gases<|separator|>
  15. [15]
    Explained: Radiative forcing | MIT News
    Mar 10, 2010 · In short, radiative forcing is a direct measure of the amount that the Earth's energy budget is out of balance.
  16. [16]
    Radiative Forcing - an overview | ScienceDirect Topics
    Radiative forcing is called instantaneous if no change in stratospheric temperature is accounted for. Radiative forcing from human activity is commonly defined ...
  17. [17]
    Effective radiative forcing and adjustments in CMIP6 models - ACP
    Aug 17, 2020 · The effective radiative forcing, which includes the instantaneous forcing plus adjustments from the atmosphere and surface, has emerged as the ...
  18. [18]
    Joint NASA, NOAA Study Finds Earth's Energy Imbalance Has ...
    Jun 15, 2021 · Researchers have found that Earth's energy imbalance approximately doubled during the 14-year period from 2005 to 2019.
  19. [19]
    The impact of the AMO on multidecadal ENSO variability - Levine
    Apr 17, 2017 · Here we will explore the hypothesis that Atlantic multidecadal variability is important for these periods of enhanced and reduce El Niño activity.
  20. [20]
    Contributions of internal climate variability in driving global and ...
    Roles of internal climate variabilities regulating global and ocean temperature changes is a hot but complex issue of scientific concern, influencing the ...
  21. [21]
    Solar Cycles in 150 Years of Global Sea Surface Temperature Data
    Aug 9, 2025 · The purpose of the present work is to demonstrate that a solar cycle response exists in surface temperature using the longest global dataset ...
  22. [22]
    PDO and AMO Modulation of the ENSO–Asian Summer Monsoon ...
    Dec 28, 2023 · Our analyses reveal that the PDO exerts a more pronounced impact on ASM variability than the AMO. By comparing different linear regression ...
  23. [23]
    New insights into natural variability and anthropogenic forcing of ...
    Jun 11, 2019 · We show that the observed GMSAT changes from 1880 to 2017 on multi-decadal or longer timescales receive contributions of about 70% from GHGs, while AMV and PDV ...
  24. [24]
    Long-term natural variability and 20th century climate change - PNAS
    Observations suggest the warming of the 20th century global mean surface temperature has not been monotonic, even when smoothed by a 10–20 year low-pass filter.<|control11|><|separator|>
  25. [25]
    Role of Natural Climate Variability in the Detection of Anthropogenic ...
    The goal of the present study is to assess how natural climate variability affects the ability to detect the climate change signal for mean and extreme ...
  26. [26]
    and Naturally‐Caused Temperature Trends: A Systematic Approach ...
    May 1, 2023 · In the climate system, temperature change is jointly determined by internal natural variabilities, natural forcings, and anthropogenic forcings.
  27. [27]
    Solar Variability and Terrestrial Climate - NASA Science
    Jan 7, 2013 · Space-borne measurements of the total solar irradiance (TSI) show ~0.1 percent variations with solar activity on 11-year and shorter timescales.<|separator|>
  28. [28]
    Solar influence on climate during the past millennium - PNAS
    To evaluate the contribution of natural forcing (solar and volcanic) to the 20th century climate change, additional simulations were performed over the period ...
  29. [29]
    Climate Change: Incoming Sunlight | NOAA Climate.gov
    Since the middle of the 20th-century, solar activity has declined while global temperature increased rapidly. NOAA Climate.gov image, based on solar data ...
  30. [30]
    Sun's activity rules out link to global warming | New Scientist
    Jul 11, 2007 · Direct satellite measurements of solar activity show it has been declining since the mid-1980s and cannot account for recent rises in global ...
  31. [31]
    Graphic: Temperature vs Solar Activity - NASA Science
    Plot showing that as Earth's global surface temperature has increased throughout the years, solar activity has gone down.
  32. [32]
    Sun & climate: moving in opposite directions - Skeptical Science
    Since the 1970s, solar radiation has slightly decreased while global temperatures have increased, with the sun having a slight cooling effect.
  33. [33]
    Global Surface Temperature Response to 11-Yr Solar Cycle Forcing ...
    Mar 10, 2021 · Empirical best estimates of global surface temperature sensitivity to solar forcing range from 0.08 to 0.18 K (W m −2 ) −1.
  34. [34]
    Empirical assessment of the role of the Sun in climate change using ...
    Some studies have even suggested that the frequency of earthquakes and volcanic eruptions slightly increases as solar activity decreases (Mazzarella and Palumbo ...
  35. [35]
    Milankovitch (Orbital) Cycles and Their Role in Earth's Climate
    Feb 27, 2020 · The small changes set in motion by Milankovitch cycles operate separately and together to influence Earth's climate over very long timespans, ...Missing: peer- | Show results with:peer-<|separator|>
  36. [36]
    Milankovitch Cycles, Paleoclimatic Change, and Hominin Evolution
    Eccentricity has two main periodicities, one cycle with an average of ~100,000 years and a longer cycle with a periodicity of ~413,000 years. Obliquity ...
  37. [37]
    Extrinsic Drivers of Sea Level Change | EARTH 107
    The angle of tilt of the Earth's axis changes from 22.1° to 24.5° (obliquity). This cycle has a period of 41,000 years. The direction of the tilt of the axis ...
  38. [38]
    Milankovitch Climate Cycles Through the Ages - Science
    Milankovitch Climate Cycles Through the Ages: Earth's orbital variations that bring on ice ages have been modulating climate for hundreds of millions of years.
  39. [39]
    Toward generalized Milankovitch theory (GMT) - CP - Copernicus.org
    Jan 18, 2024 · Milankovitch theory is usually understood as a rather general concept that Quaternary glacial cycles were forced (or “paced”) by changes in ...
  40. [40]
    Why Milankovitch (Orbital) Cycles Can't Explain Earth's Current ...
    Feb 27, 2020 · Climate models indicate any forcing of Earth's climate due to Milankovitch cycles is overwhelmed when human activities cause the concentration ...
  41. [41]
    Climate change modulates the stratospheric volcanic sulfate aerosol ...
    Aug 12, 2021 · The sulfate aerosols produced by these eruptions reside for 1–3 years in the stratosphere where they scatter sunlight, resulting in a net ...
  42. [42]
    Chapter 7: The Earth's Energy Budget, Climate Feedbacks, and ...
    The effective radiative forcing, ERF(ΔF; units: W m –2) quantifies the change in the net TOA energy flux of the Earth system due to an imposed perturbation ( ...
  43. [43]
    Climate and carbon cycle response to the 1815 Tambora volcanic ...
    Oct 15, 2013 · The model shows a temperature decrease of 1 ± 0.1°C and global precipitation decrease of 3.7% in 1816.Abstract · Introduction · Model Simulations · Biogeochemical Response
  44. [44]
    Global Effects of Mount Pinatubo - NASA Earth Observatory
    Jun 14, 2001 · Consequently, over the next 15 months, scientists measured a drop in the average global temperature of about 1 degree F (0.6 degrees C). ... 1991 ...
  45. [45]
    The Cataclysmic 1991 Eruption of Mount Pinatubo, Philippines
    Feb 28, 2005 · ... world caused global temperatures to drop temporarily (1991 through 1993) by about 1°F (0.5°C). The eruptions have dramatically changed the ...
  46. [46]
    What do volcanoes have to do with climate change? - NASA Science
    Oct 23, 2024 · Volcanic eruptions are often discussed in the context of climate change because they release CO2 and other gases into our atmosphere.
  47. [47]
    New Study Disputes Hunga Tonga Volcano's Role In 2023-24 ...
    Jul 24, 2024 · Historically, large volcanic eruptions like Tambora in 1815 and Mt. Pinatubo in 1991 have led to significant cooling effects on the global ...
  48. [48]
    Neglecting future sporadic volcanic eruptions underestimates ...
    Mar 25, 2025 · ... radiative forcing. According to the IPCC AR6, the radiative forcing of volcanic aerosols follows a linear relationship of −20 ± 5 W/m2 ...
  49. [49]
    Pacific Decadal Oscillation (PDO)
    The Pacific Decadal Oscillation (PDO) is often described as a long-lived El Niño-like pattern of Pacific climate variability.
  50. [50]
    Atlantic Multi-decadal Oscillation (AMO) - Climate Data Guide
    The AMO has significant regional and hemispheric climate impacts, such as modulating multidecadal variations in U.S. rainfall and drought frequency (Enfield et ...
  51. [51]
    A Nonstationary ENSO–NAO Relationship Due to AMO Modulation in
    In the present work, decadal modulation by the Atlantic multidecadal oscillation (AMO) is investigated as a possible cause of the nonstationary ENSO–NAO ...
  52. [52]
    Absence of internal multidecadal and interdecadal oscillations in ...
    Jan 3, 2020 · It is well known that the El Niño/Southern Oscillation (ENSO) leads to interannual oscillatory behaviour in the climate, providing prospects for ...
  53. [53]
    The 2023 global warming spike was driven by the El Niño–Southern ...
    Oct 10, 2024 · Global-mean surface temperature rapidly increased 0.29 ± 0.04 K from 2022 to 2023. Such a large interannual global warming spike is not ...
  54. [54]
    Interactive: How much does El Niño affect global temperature?
    Jan 20, 2017 · Scientists know that greenhouse gases from human activity accumulate in the atmosphere, trapping heat and causing global temperatures to rise.
  55. [55]
    El Niño/Southern Oscillation response to global warming - PNAS
    The ENSO response to global warming differs strongly from model to model and is thus highly uncertain. Some models simulate an increase in ENSO amplitude, ...
  56. [56]
    Increased impact of the El Niño–Southern Oscillation on global ...
    Sep 2, 2023 · Increase of ENSO impacts over Northern America and central Asia might be related to warmer temperature and reforestation or afforestation over ...
  57. [57]
    Simulated Response of the Pacific Decadal Oscillation to Climate ...
    In a colder climate the time scale of the PDO increases to ~34 yr. Physically, global warming (cooling) enhances (weakens) ocean stratification. The increased ( ...
  58. [58]
    Amplification of the Atlantic Multidecadal Oscillation associated with ...
    Jan 23, 2017 · It has a profound imprint on the global climate system that results in a number of high value societal impacts.
  59. [59]
    The Key Role of Atlantic Multidecadal Oscillation in Minimum ...
    Jan 28, 2019 · In this study, we found that Tmin experienced an obvious decline in North America during warming slowdown period. Such Tmin decline is closely ...
  60. [60]
    Atlantic and Pacific oscillations lost in the noise - Penn State University
    Jan 3, 2020 · The Atlantic Multidecadal Oscillation (AMO) and the Pacific Decadal Oscillation (PDO) do not appear to exist, according to a team of meteorologists.<|separator|>
  61. [61]
    On the interconnections among major climate modes and ... - ESD
    Jun 5, 2020 · Here we use climate indices to represent the variations in major climate modes and examine the harmonic relationship among the driving forces of climate modes.
  62. [62]
    Thermodynamic effect dictates influence of the Atlantic Multidecadal ...
    Jun 27, 2024 · The Atlantic Multidecadal Oscillation (AMO) significantly contributes to SAT variations and extremes in Eurasia through both thermodynamic and dynamic ...
  63. [63]
    Pacific decadal oscillation hindcasts relevant to near-term climate ...
    Our results suggest that the PDO also plays a major role in modulating the global warming trend on decadal timescales. Both the PDO and the AMOC have ...
  64. [64]
    GHG emissions of all world countries - 2025 Report
    In 2024, the majority of GHG emissions consisted of fossil CO2 accounting for 74.5% of total emissions, while CH4 contributed for 17.9% to the total, N2O for 4 ...
  65. [65]
    GHG emissions of all world countries - 2023 Report
    Following the latest update released in September 2023, GHG emission data are now available for all IPCC sectors for each country for the time period 1970-2022.
  66. [66]
    Analysis: Global CO2 emissions will reach new high in 2024 despite ...
    Nov 13, 2024 · Carbon dioxide (CO2) emissions from fossil fuels and cement will rise around 0.8% in 2024, reaching a record 37.4bn tonnes of CO2 (GtCO2).
  67. [67]
  68. [68]
    Global CO₂ emissions from fossil fuels & cement production - Climate
    The total emissions from cement production (including heating fuels) are approximately 2.8 billion tons of CO2, or about 8% of world CO2 production. If the ...
  69. [69]
    CO₂ emissions from fossil fuels and land-use change
    CO₂ emissions from fossil fuels and land-use change ; United States · 2B t 4B t 6B t ; United Kingdom · 200M t 400M t 600M t ; China · 2B t 4B t 6B t 8B t 10B t ...
  70. [70]
    Trends in CO2 - NOAA Global Monitoring Laboratory
    Sep 5, 2025 · The carbon dioxide data on Mauna Loa constitute the longest record of direct measurements of CO2 in the atmosphere. They were started by C.Data · Last 1 Year · Last Month · Global
  71. [71]
    Climate change: atmospheric carbon dioxide
    At Mauna Loa Observatory in Hawaii (graph above), where the modern carbon dioxide record began in 1958, the annual average carbon dioxide in 2024 was 424.61 ppm ...
  72. [72]
    Global anthropogenic methane emissions, 1970-2022
    Jan 13, 2025 · Agriculture accounts for about 38% of total anthropogenic methane emissions. Enteric fermentation alone accounts for 28% of emissions. Enteric ...Anthropogenic Methane... · Country Leaders In... · What Do These Charts Say...
  73. [73]
    Global Methane Hub - Meet the Moment on Methane
    Methane emissions mainly come from the agricultural sector (40%), fossil fuels (35%), and organic waste (20%). This is a global public health issue, as curbing ...Agriculture · Energy · Mobilizing Methane Action · About Us<|separator|>
  74. [74]
    Understanding methane emissions – Global Methane Tracker 2025
    Nearly 18 Mt of global methane emissions resulted from the incomplete combustion of biomass – mostly charcoal, wood, agricultural waste and animal dung used for ...
  75. [75]
    Agriculture 'major driver' of rise in nitrous oxide emissions over past ...
    Jun 11, 2024 · Nitrogen fertilisers, manure and other agricultural sources drove almost three-quarters of human-caused nitrous oxide emissions in recent years.
  76. [76]
    Management Strategies to Mitigate N2O Emissions in Agriculture
    Mar 17, 2022 · Agriculture is responsible for more than 60% of N2O emission [21,22]. Nitrogen fertilizers have high mobility in soil solution: after ...
  77. [77]
    Nitrous Oxide Emissions from Soil | Oklahoma State University
    Soil management in agricultural systems is responsible for 69 percent of the N2O emissions in the U.S. This makes up 3 percent of the total emissions of all ...Introduction · Managing N2O Emissions... · Enhanced Efficiency Fertilizers
  78. [78]
    Global Greenhouse Gas Overview | US EPA
    Aug 19, 2025 · In 2020, the top ten greenhouse gas emitters were China, the United States, India, the European Union, Russia, Indonesia, Brazil, Japan, Iran, and Canada.
  79. [79]
    Figure AR6 WG1 | Climate Change 2021: The Physical Science Basis
    Figure 7.6 shows the change in effective radiative forcing (ERF) from 1750 to 2019, broken down by contributing agents like carbon dioxide, methane, and ...
  80. [80]
    [PDF] Chapter 6: Short-lived Climate Forcers
    Chapter 7 for radiative forcing of volcanic aerosols). Furthermore, studies suggest sulphate contributions from anthropogenic SO2 emissions transported into ...
  81. [81]
    Decomposing the effective radiative forcing of anthropogenic ... - ACP
    Jul 10, 2024 · The perturbation induced by changes in anthropogenic aerosols on the Earth's energy balance is quantified in terms of the effective radiative forcing (ERF).
  82. [82]
    Aerosols: Small Particles with Big Climate Effects - NASA Science
    Jun 12, 2023 · They are emitted by both natural events and human activities. Some aerosols cool the climate, and others have a warming effect. Image ...
  83. [83]
    Aerosols and Climate - Geophysical Fluid Dynamics Laboratory
    Aerosols can influence the Earth's climate in two ways. When the sky is clear (devoid of clouds), aerosols can reflect incoming sunlight back to outer space.
  84. [84]
    Do humans also exert a cooling influence on Earth's climate?
    Oct 29, 2020 · Our greatest cooling influence comes from particulate pollution (aerosols) we produce. We put plumes of aerosols into the air from power plants ...
  85. [85]
    The role of aerosol declines in recent warming - Skeptical Science
    Jun 18, 2025 · Global emissions of SO2, the most important aerosol, have fallen by 40% since the mid?2000s. China has cut its SO2 emissions more than 70% over the same period.
  86. [86]
    East Asian aerosol cleanup has likely contributed to the recent ...
    Jul 14, 2025 · Recent studies find an acceleration in the rate of surface warming and ocean heat uptake after 1990, and the most recent decade (2013–2022) ...
  87. [87]
    Surface temperature effects of recent reductions in shipping ... - ACP
    Apr 23, 2025 · This can be expected to lead to a reduction in aerosol-driven cooling, unmasking a portion of greenhouse gas warming. The magnitude of the ...<|control11|><|separator|>
  88. [88]
    [PDF] Estimating the Effective Radiative Forcing of Anthropogenic ...
    Aug 24, 2023 · Aerosols modify the planet's radiative budget directly through scattering and absorption of incoming solar shortwave. (SW) and terrestrial ...
  89. [89]
    Aerosols overtake greenhouse gases causing a warmer climate and ...
    Nov 9, 2023 · The results suggest that the future aerosol reductions significantly contribute to climate warming and increase the frequency and intensity of extreme weathers ...
  90. [90]
    Combined climate and carbon-cycle effects of large-scale ... - PNAS
    However, biophysical effects of deforestation, which include changes in land surface albedo, evapotranspiration, and cloud cover also affect climate. Here ...
  91. [91]
    Impact on short-lived climate forcers increases projected warming ...
    Jan 11, 2018 · Combining RFs due to CO2, surface albedo and SLCFs suggests that global deforestation could cause 0.8 K warming after 100 years, with SLCFs ...
  92. [92]
    Deforestation and Its Effect on Surface Albedo and Weather Patterns
    5. Conclusions. The surface albedo of the study area increased 2.16% on average between 2014 and 2021 as a result of deforestation events and changes in land ...
  93. [93]
    Urbanization exacerbates continental- to regional-scale warming
    Aug 16, 2024 · We demonstrate that the urban influence on continental- to regional-scale warming has become more detectable over time, especially for rapidly urbanizing ...
  94. [94]
    Disentangling the trend in the warming of urban areas into global ...
    Sep 16, 2021 · We use UHI detection and attribution methods to investigate the possible contribution of local forcing factors to the residual warming trend.
  95. [95]
    Global forestation and deforestation affect remote climate via ...
    Oct 4, 2022 · Decreased cloud cover partially offsets the cooling effects of surface albedo change due to deforestation. Article Open access 26 August 2024 ...<|separator|>
  96. [96]
    Forest Greening Increases Land Surface Albedo During the Main ...
    Mar 20, 2021 · Albedo changes also are biogeographical: deforestation and clear-cutting of trees in tropical and temperate zones cause an increase in surface ...
  97. [97]
    Impacts of forest loss on local climate across the conterminous ...
    Jan 1, 2022 · Changes in albedo and ET that are driven by forest loss exert competing impacts on land surface temperature (LST). Enhanced albedo reduces the ...
  98. [98]
    9.1.2 What are Climate Change Detection and Attribution?
    'Detection' is the process of demonstrating that climate has changed in some defined statistical sense, without providing a reason for that change.
  99. [99]
    [PDF] Good Practice Guidance Paper on Detection and Attribution Related ...
    Jun 28, 2009 · The Good Practice Guidance Paper is the agreed product of the IPCC Expert Meeting on Detection and Attribution.
  100. [100]
    Comparison of Statistically Optimal Approaches to Detecting ...
    Abstract. Three statistically optimal approaches, which have been proposed for detecting anthropogenic climate change, are intercompared.
  101. [101]
    [PDF] Statistical Procedures for Estimating and Detecting Climate Changes
    This paper has described an optimal averaging method to estimate climate changes and a linear detec- tion technique to detect specific climate change signals.
  102. [102]
    [PDF] Detection and Attribution of Climate Change: from Global to Regional
    gy for detection and attribution proposed by the IPCC good practice guidance paper on detection and attribution (Hegerl et al., 2010) and for uncertainty ...
  103. [103]
    Use of models in detection and attribution of climate change - Hegerl
    May 26, 2011 · This review discusses the role of models in detection and attribution, the associated uncertainties, and the robustness of results.
  104. [104]
    [PDF] Use of models in detection and attribution of climate change
    Statistical approaches range from simple comparisons of observations with model simulations to multi-regression methods that estimate the contribution of ...
  105. [105]
    Comparison of Statistically Optimal Approaches to Detecting ...
    ABSTRACT. Three statistically optimal approaches, which have been proposed for detecting anthropogenic climate change, are intercompared.Missing: limitations | Show results with:limitations
  106. [106]
    Multi-pattern fingerprint method for detection and attribution of ...
    The method detects climate change signals and determines if they are from specific forcings by comparing predicted patterns with observed data and using ...
  107. [107]
    Toward Optimal Fingerprinting in Detection and Attribution of ...
    Optimal fingerprinting has been widely used as a standard method for detection and attribution analysis for mean climate conditions.
  108. [108]
    Optimal Fingerprinting with Estimating Equations in - AMS Journals
    Optimal fingerprinting (OF), a multiple linear regression model, is the most widely used method for the detection and attribution of climate change. It ...
  109. [109]
    Regularized fingerprinting in detection and attribution of climate ...
    Optimal fingerprinting is a multiple regression used to evaluate the contributions of causal factors to climate change, regressing observed climate variables ...
  110. [110]
    Fingerprint of anthropogenic climate change detected in long-term ...
    May 17, 2025 · For decades, optimal fingerprinting has been the predominant D&A method used to detect global change, from temperature, precipitation, and water ...
  111. [111]
    Attribution of extreme weather and climate events overestimated by ...
    Feb 19, 2016 · The framework illustrates that unreliable climate simulations are prone to overestimate the attributable risk to climate change. Climate model ...
  112. [112]
    Regularized Fingerprinting in Detection and Attribution of Climate ...
    Dec 8, 2020 · The optimal fingerprinting method for detection and attribution of climate change is based on a multiple regression where each covariate has measurement error.Missing: techniques | Show results with:techniques
  113. [113]
    Could detection and attribution of climate change trends be spurious ...
    Mar 24, 2022 · Since the 1970s, scientists have developed statistical methods intended to formalize detection of changes in global climate and to attribute ...
  114. [114]
    The Detection and Attribution Model Intercomparison Project ... - GMD
    Jul 22, 2025 · The simulations have been used extensively in the literature for detection and attribution of long-term changes, constraining projections of ...
  115. [115]
    [PDF] Climate Models An Assessment of Strengths and Limitations
    many recent attribution and climate projection studies. Climate modeling has been steadily improving over the past several decades, but the pace has been ...
  116. [116]
    Changes to Carbon Isotopes in Atmospheric CO2 Over the Industrial ...
    Oct 23, 2020 · As fossil fuels are slightly depleted in 13C and entirely depleted in 14C, the burning of fossil fuels increases 12CO2 at a faster relative ...Abstract · The 14C and 13C Suess Effects · Projected Future Changes in...
  117. [117]
    How do we know the build-up of carbon dioxide in the atmosphere is ...
    Oct 12, 2022 · Fossil fuels are the only source of carbon dioxide large enough to raise atmospheric carbon dioxide amounts so high so quickly.
  118. [118]
    Indicators of Global Climate Change 2024: annual update of key ...
    Jun 19, 2025 · The indicators show that human activities are increasing the Earth's energy imbalance and driving faster sea-level rise compared to the AR6 assessment.
  119. [119]
    Projected rapid response of stratospheric temperature to stringent ...
    Aug 3, 2024 · ... tropospheric warming and stratospheric cooling (e.g.,). This vertical 'fingerprint' is a key indicator of human influence on the climate.
  120. [120]
    Human influence on climate detectable in the late 19th century - PMC
    Jun 16, 2025 · We then apply a pattern-based “fingerprint” method to disentangle human and natural effects on climate. A human-caused stratospheric cooling ...
  121. [121]
    Greater than 99% consensus on human caused climate change in ...
    Oct 19, 2021 · Greater than 99% consensus on human caused climate change in the peer-reviewed scientific literature. Mark Lynas, Benjamin Z Houlton and ...
  122. [122]
    The Pacific Decadal Oscillation (PDO) is not causing global warming
    Mar 31, 2024 · PDO as an oscillation between positive and negative values shows no long term trend, while temperature shows a long term warming trend.
  123. [123]
    Phenomenological solar contribution to the 1900–2000 global ...
    Mar 9, 2006 · We estimate that the sun contributed as much as 45–50% of the 1900–2000 global warming, and 25–35% of the 1980–2000 global warming.Missing: 21st | Show results with:21st
  124. [124]
    Volcanoes Can Affect Climate | U.S. Geological Survey - USGS.gov
    Volcanic gases like sulfur dioxide can cause global cooling, while volcanic carbon dioxide, a greenhouse gas, has the potential to promote global warming.
  125. [125]
  126. [126]
    How Volcanic Aerosols Globally Inhibit Precipitation - AGU Journals
    Jun 29, 2024 · Volcanic aerosols alter the atmosphere's energy balance, with precipitation changes being one pathway by which the atmosphere acts to return ...
  127. [127]
    Global trends and ENSO - RealClimate
    Jul 4, 2008 · It's long been known that El Niño variability affects the global mean temperature anomalies. 1998 was so warm in part because of the big El Niño event.<|separator|>
  128. [128]
    Coupled impacts of ENSO AMO and PDO on temperature and ...
    Jan 15, 2018 · The effects of La Niña on the temperature and precipitation anomaly were significantly increased during positive AMO and PDO phases. The coupled ...Missing: trend | Show results with:trend
  129. [129]
    Checking for model consistency in optimal fingerprinting: a comment
    Aug 10, 2021 · AT99 made some errors in their summary of the GM conditions and made claims about the properties of their estimator that, at best, were never ...
  130. [130]
    (PDF) Uncertainty in optimal fingerprinting is underestimated
    Optimal fingerprinting, a linear regression with errors in variables (EIVs), has been widely used in detection and attribution analyses of climate change. The ...Missing: flaws | Show results with:flaws
  131. [131]
    Could detection and attribution of climate change trends be spurious ...
    Mar 24, 2022 · Since the 1970s, scientists have developed statistical methods intended to formalize detection of changes in global climate and to attribute ...
  132. [132]
  133. [133]
    Water vapor and lapse rate feedbacks in the climate system
    Nov 30, 2021 · It is shown that the evidence is now overwhelming that combined water vapor and lapse rate processes indeed provide the strongest positive feedback in the ...
  134. [134]
    The Role of Water Vapor Feedback in Unperturbed Climate ...
    Water vapor feedback is more effective the longer the timescale of the surface temperature anomaly and the larger its spatial scale.
  135. [135]
    The Impact of Sea‐Ice Loss on Arctic Climate Feedbacks and Their ...
    Jul 26, 2021 · Winter oceanic heat release and summer albedo feedback are the main causes of Arctic amplification. 1 Introduction. Rapid warming in the Arctic ...
  136. [136]
    Arctic amplification is caused by sea-ice loss under increasing CO 2
    Jan 10, 2019 · Under greenhouse gas (GHG)-induced global warming, Arctic sea ice is expected to decrease greatly, which increases the absorption of sunlight by ...
  137. [137]
    Observational evidence that cloud feedback amplifies global warming
    Jul 19, 2021 · This constraint supports that cloud feedback will amplify global warming, making it very unlikely that climate sensitivity is smaller than 2 °C.
  138. [138]
    Carbon cycle feedbacks and future climate change - Journals
    Nov 13, 2015 · Climate and carbon cycle are tightly coupled. Warming leads to carbon release, a positive feedback, while CO2 increase induces carbon uptake, a ...Abstract · Introduction · Modelling 'evidences' · Observational constraints
  139. [139]
    [PDF] Global Carbon and Other Biogeochemical Cycles and Feedbacks
    feedback in the permafrost region. However, those that do include permafrost carbon show a positive carbon–climate feedback in the. Box 5.1 (continued). Page ...
  140. [140]
    [PDF] Permafrost and Climate Change: Carbon Cycle Feedbacks From the ...
    Abstract. Rapid Arctic environmental change affects the entire Earth system as thawing permafrost ecosys- tems release greenhouse gases to the atmosphere.
  141. [141]
    Analysis: How 'carbon-cycle feedbacks' could make global warming ...
    Apr 14, 2020 · Analysis for this article shows that feedbacks could result in up to 25% more warming than in the main IPCC projections.
  142. [142]
    [PDF] Climate feedbacks in the Earth system and prospects for their ... - ESD
    This article summarizes the major climate-relevant feed- backs to be considered for such an analysis and provides an outlook for constraining feedback in Earth ...
  143. [143]
    How Well do We Understand the Planck Feedback? - AGU Journals
    Jul 17, 2023 · The Planck feedback is less stabilizing than the Stefan-Boltzmann feedback—and as a consequence, Earth's total climate feedback is less ...Abstract · Introduction · Sensitivity Tests · Discussion and Conclusions
  144. [144]
    Feedbacks and Climate Sensitivity (Chapter 13)
    13.6 In the tropical Pacific Ocean, the Bjerknes feedback is a positive feedback of warming in the central and eastern Pacific, that weakens the trade winds and ...
  145. [145]
    Revisiting the Role of the Water Vapor and Lapse Rate Feedbacks ...
    Apr 21, 2022 · In contrast to the water vapor feedback, which is positive everywhere, the lapse rate feedback parameter is negative in the tropical region and ...
  146. [146]
    Evaluating Cloud Feedback Components in Observations and Their ...
    Jan 22, 2024 · The tropical marine low-cloud feedback is −0.51 ± 0.28 W/m2/K in this 12-year period, primarily due to a strong negative SW cloud amount ...Data and Methods · Evaluation of Modeled Cloud... · Discussion and Conclusions
  147. [147]
    Cloudy feedback on global warming | Lawrence Livermore National ...
    Oct 31, 2016 · If these cloud changes enhance the radiative cooling of the Earth, they act as a negative, dampening feedback on warming. Otherwise, they act ...
  148. [148]
    Recent global decline of CO2 fertilization effects on vegetation ...
    This declining trend in the forcing of terrestrial carbon sinks by increasing amounts of atmospheric CO2 implies a weakening negative feedback on the climatic ...
  149. [149]
    Recent global decline of CO2 fertilization effects on vegetation ...
    Dec 11, 2020 · This declining trend in the forcing of terrestrial carbon sinks by increasing amounts of atmospheric CO2 implies a weakening negative feedback ...
  150. [150]
    Earth can regulate its own temperature over millennia, new study finds
    Nov 16, 2022 · A study by MIT researchers confirms that the planet harbors a “stabilizing feedback” mechanism that acts over hundreds of thousands of years to pull the ...Missing: empirical | Show results with:empirical
  151. [151]
    Presence or absence of stabilizing Earth system feedbacks on ... - NIH
    Nov 16, 2022 · The current evidence that Earth's climate is stabilized by long-term carbon cycle feedbacks is as follows. Paleoclimate data suggest that input ...Missing: empirical | Show results with:empirical
  152. [152]
    How a Stable Greenhouse Effect on Earth Is Maintained Under ...
    May 4, 2023 · An atmospheric feedback process maintained by greenhouse gases crucially stabilizes Earth's climate under global warming Earth's clear-sky ...