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Ice nucleus

An ice nucleus, commonly referred to as an ice-nucleating particle (INP), is an atmospheric aerosol particle that serves as a template for the heterogeneous formation of ice crystals within supercooled water droplets or directly from water vapor in clouds at temperatures between approximately -38°C and 0°C.^[1]^[2] These particles enable ice production via pathways such as immersion freezing, where an INP immersed in a droplet triggers freezing; contact freezing, involving collision between an INP and a droplet; and deposition nucleation, where ice forms directly on the particle surface from vapor.^[1]^[3] INPs play a pivotal role in mixed-phase and cirrus cloud microphysics, influencing precipitation efficiency, radiative properties, and thus regional and global climate dynamics.^[2]^[4] Common sources include mineral dust from deserts, biological aerosols like bacterial fragments and plant debris, sea spray emissions containing organic components, and to a lesser extent anthropogenic pollutants such as combustion-derived soot.^[3]^[5]^[2] Their scarcity—often only a tiny fraction of total aerosols—underscores the sensitivity of ice formation to INP abundance and composition, with ongoing research quantifying their global distributions and impacts on weather prediction models.^[1]^[4]

Fundamentals and Definition

Definition and Physical Principles

Ice-nucleating particles (INPs), commonly termed ice nuclei, are aerosol particles in the atmosphere that catalyze the phase transition of supercooled water or water vapor into ice crystals within clouds. These particles are essential for initiating ice formation at temperatures between 0°C and -38°C, a range where liquid water persists without nucleation aids due to the kinetic stability of the supercooled state.^[1]^[2] The underlying physical principles derive from classical nucleation theory (CNT), which quantifies the nucleation rate J as proportional to the exponential of the negative free energy barrier ΔG divided by kT, where k is Boltzmann's constant and T is temperature: J ∝ exp(-ΔG / kT). In homogeneous nucleation, absent substrates, ΔG arises from the interfacial free energy between the ice embryo and surrounding liquid, demanding supercooling to approximately -38°C for appreciable rates in pure water. This process requires high relative humidity with respect to ice (RH_i > 140%) and is rare in warmer conditions due to the high barrier.^[6]^[2] Heterogeneous nucleation predominates atmospherically, with INPs reducing ΔG by providing a template that aligns with the ice crystal lattice, modeled via a spherical cap geometry incorporating a contact angle θ between the embryo and substrate, yielding ΔG_het = f(θ) ΔG_hom where f(θ) < 1 for favorable substrates. This enables ice formation through distinct modes: immersion freezing, where an engulfed INP triggers supercooled droplet solidification; deposition nucleation, direct vapor-to-ice transition on particle surfaces; and others like contact or condensation freezing. Such mechanisms lower required supercooling, influencing cloud microphysics and precipitation efficiency.^[1]^[6]

Thermodynamic Context of Supercooled Clouds

Supercooled clouds, prevalent in the atmosphere at temperatures between 0°C and approximately -40°C, consist primarily of metastable liquid water droplets that persist below the bulk freezing point due to kinetic barriers inhibiting phase transition to ice.^[7] The thermodynamic stability of supercooled water arises from the high free energy barrier for nucleation, which requires the formation of a critical embryo of ice-like structure; without catalytic surfaces, this barrier exceeds tens of kilocalories per mole, delaying freezing until homogeneous nucleation dominates around -38°C at atmospheric pressure.^[8] Ice nuclei, typically solid particles with lattice structures matching ice's hexagonal form, facilitate heterogeneous nucleation by reducing this barrier through epitaxial matching, enabling ice embryo formation at warmer temperatures, often between -5°C and -20°C depending on particle type and size.^[9] In the thermodynamic context, the coexistence of supercooled liquid and ice phases in mixed-phase clouds is governed by the Clausius-Clapeyron relation, which dictates that the saturation vapor pressure over ice (e_{si}) is lower than over supercooled water (e_{sw}) at temperatures below 0°C, creating a relative humidity supersaturated with respect to ice (up to 10-20% higher) but near or below saturation for liquid water.^[10] This disparity drives the Bergeron-Findeisen process, wherein water vapor diffuses preferentially to ice crystals, promoting their growth while inducing evaporation from surrounding supercooled droplets, with deposition rates scaling as the difference \Delta e = e_{sw} - e_{si}, which increases with decreasing temperature.^[11] Empirical measurements confirm this mechanism's efficiency, as ice crystals can grow from micrometer to millimeter sizes in minutes under typical updrafts of 1-10 cm/s, contrasting with slower liquid droplet growth limited by condensation alone.^[7] The presence of ice nuclei thus shifts cloud thermodynamics from liquid-dominated persistence—where latent heat release from droplet freezing is absent—to ice-mediated dynamics, releasing approximately 334 J/g of latent heat upon deposition or freezing, which warms the parcel and influences buoyancy and cloud evolution.^[9] Without sufficient nuclei, supercooled clouds can persist indefinitely in stable conditions, suppressing precipitation and altering radiative properties, as liquid droplets scatter more sunlight than equivalent ice mass; nucleation efficiency, quantified by the critical supersaturation or temperature for embryo stability, underscores the causal role of particle surface thermodynamics in bridging the gap between metastable supercooling and stable glaciation.^[12] Observations from aircraft campaigns, such as those in mid-latitude stratiform clouds, reveal nucleation thresholds where ice concentrations exceed 1 L^{-1} only above certain particle abundances, linking microscopic interface energetics to macroscopic cloud phase partitioning.^[10]

Historical Development

Early Observations and Theories

The concept of ice nuclei emerged from early 20th-century observations of supercooled clouds persisting without precipitation, implying that ice formation required specific particulate initiators rather than spontaneous homogeneous freezing. In 1911, Alfred Wegener proposed that mineral dust particles serve as "condensation germs" for ice crystals in glaciated clouds, attributing their role to facilitating deposition nucleation under atmospheric conditions where pure water vapor would otherwise remain supersaturated with respect to ice. This laid the groundwork for heterogeneous nucleation theory, positing that rare solid particles lower the energy barrier for ice embryo formation compared to the improbable homogeneous process, which theoretical calculations placed at temperatures below -40°C.^[13] Tor Bergeron advanced these ideas in the 1920s and 1930s through field observations during mountain expeditions, where he noted ice crystals forming on tree branches amid supercooled fog, suggesting that ice particles grow preferentially due to the lower saturation vapor pressure over ice than over supercooled liquid water. In his 1935 publications, Bergeron formalized the necessity of "sublimation nuclei"—later termed ice nuclei—for initiating ice in mixed-phase clouds, arguing that their scarcity explains the delayed onset of glaciation in clouds cooled to -10°C or lower without such particles. Walter Findeisen extended this in 1938 by quantifying the Bergeron-Findeisen process, emphasizing how ice nuclei enable vapor diffusion from droplets to crystals, driving precipitation in otherwise stable supercooled systems.^[14] These theories were supported by empirical evidence of virga—falling ice evaporating before reaching ground—from altocumulus clouds, indicating heterogeneous initiation over homogeneous.^[15] Systematic measurements of atmospheric ice nuclei began in the 1940s with the development of expansion chamber techniques, which sampled ambient air, cooled it adiabatically, and counted resulting ice crystals as proxies for active nuclei. Early instruments, such as those used in cloud chambers, revealed low concentrations—typically 0.01 to 1 nucleus per liter at -20°C—confirming the rarity predicted by theory and linking activity to dust-laden air masses from arid regions. These findings validated the heterogeneous paradigm, as homogeneous nucleation rates remained unobservable in natural settings above -38°C, and spurred laboratory simulations to identify candidate materials like clays and metallic salts.^[16]^[17]

Key Discoveries in Mechanisms and Sources

The necessity of heterogeneous ice nucleation for ice crystal formation in supercooled clouds warmer than -38°C was theoretically proposed in the 1930s through the Bergeron-Findeisen process, which posited that ice embryos form on rare atmospheric particles rather than spontaneously in pure water vapor or droplets.^[13] Experimental validation emerged in the late 1940s via laboratory cloud chambers and Project Cirrus field tests, where supercooled clouds were rapidly glaciated upon introduction of particles like silver iodide, confirming that foreign substrates lower the energy barrier for ice embryo formation compared to homogeneous nucleation, which laboratory studies later established occurs only below -38°C to -40°C under high supersaturation.^[18] ^[16] Initial atmospheric measurements of ice nuclei, conducted in the 1940s using static diffusion chambers and expansion methods on natural air samples, quantified concentrations as low as 0.01 to 1 per liter at -20°C, indicating that efficient nuclei are sparse and particle-specific, with mechanisms involving epitaxial growth where ice lattice aligns with substrate crystal faces.^[16] By the 1950s, kinetic models by Turnbull formalized heterogeneous nucleation rates, emphasizing contact angle and surface defects as key factors in ice germ formation.^[6] Sources were first traced to mineral dusts, including clays like kaolinite and montmorillonite, whose layered structures promote deposition and immersion modes of nucleation, as demonstrated in 1968 tests showing these particulates active at -10°C to -20°C.^[6] A pivotal advance in the 1960s revealed organic compounds as potent nucleators: in 1961, Head identified steroids inducing ice at warmer temperatures via immersion freezing, while 1963 experiments by Fukuta and Mason showed epitaxial ice growth on organic crystals, expanding mechanisms beyond inorganics to include molecular monolayers that stabilize ice embryos.^[6] The 1970s brought discovery of biological sources, with Schnell's 1970 identification of leaf-derived nuclei active at -1.5°C in decaying vegetation and 1975 findings of ocean-derived nuclei from plankton at -2°C, both far warmer than mineral thresholds.^[19] Culminating in 1974, Maki et al. isolated Pseudomonas syringae bacteria from plant surfaces as the agent, revealing protein-based outer membrane structures enabling contact and immersion nucleation at temperatures up to -2°C, with single cells rivaling multiple mineral particles in efficiency.^[6] ^[19] These findings shifted understanding from predominantly abiotic to significant biogenic contributions, particularly in boundary layer air over vegetated or marine regions.^[20]

Nucleation Mechanisms

Heterogeneous Nucleation Pathways

Heterogeneous ice nucleation in the atmosphere primarily occurs through four distinct pathways: deposition nucleation, immersion freezing, contact freezing, and condensation freezing, each involving ice-nucleating particles (INPs) that lower the energy barrier for ice formation compared to homogeneous nucleation.^[21] These processes dominate ice formation in mixed-phase clouds, where temperatures range from 0°C to -38°C, enabling the presence of both liquid water and ice phases.^[22] Deposition nucleation involves the direct transition of water vapor to ice on an INP surface under ice-supersaturated conditions, typically active at temperatures below -20°C and relevant in cirrus clouds.^[23] Immersion freezing occurs when an INP is already suspended within a supercooled liquid droplet, triggering freezing stochastically as temperature decreases, with efficiency varying by particle composition such as mineral dust or biological material.^[24] Contact freezing requires physical collision between an INP and a supercooled droplet, often more efficient than immersion due to potential shear or collision-induced activation, though laboratory measurements indicate thresholds around -10°C to -20°C depending on aerosol type.^[25] Condensation freezing combines droplet activation via condensation with immediate freezing, primarily observed with hygroscopic particles like silver iodide, but less common in natural atmospheric INPs.^[26] Experimental studies, including those on volcanic ash and secondary organic aerosols, demonstrate that deposition and immersion modes can overlap, with nucleation rates increasing exponentially with decreasing temperature; for instance, certain mineral dusts exhibit deposition activity from 225 K to 235 K at ice saturation ratios near 1.2-1.4.^[27] Molecular simulations further reveal that surface lattice matching between INPs and ice embryos governs pathway kinetics, with pre-ordered water layers facilitating but not always dictating two-step crystallization.^[28] The relative importance of these pathways depends on environmental conditions, particle size, and surface properties; for example, larger particles (>1 μm) favor immersion and contact modes in convective clouds, while submicron aerosols may preferentially support deposition in the upper troposphere.^[29] Laboratory data from instruments like the Coldstage or AIDA chamber quantify these efficiencies, showing that biological INPs, such as bacterial cells, excel in immersion freezing at warmer temperatures (-2°C to -10°C), underscoring their role in precipitation initiation.^[30] Despite advances, uncertainties persist in scaling lab results to atmospheric variability, with parameterization schemes in models often relying on empirical fits to represent stochastic nucleation rates as functions of temperature and saturation.^[31]

Homogeneous Nucleation and Rare Modes

Homogeneous nucleation involves the formation of ice embryos directly within the bulk of supercooled liquid water droplets, without the aid of foreign particles or surfaces acting as templates. This process is governed by classical nucleation theory, where the free energy barrier for creating a stable ice germ must be surmounted through thermal fluctuations, requiring supercooling to temperatures typically below -36°C to achieve appreciable rates.^[4] In pure water systems, the nucleation rate increases exponentially with decreasing temperature, reflecting the interplay of bulk thermodynamic favorability and surface energy costs for the ice-liquid interface. Experimental determinations of homogeneous freezing thresholds, often using microliter droplets or emulsions to minimize contamination, place the stochastic onset around -38°C to -40°C for volumes on the order of micrometers, with smaller droplets capable of greater supercooling due to reduced probability of critical embryo formation.^[32] For instance, studies report a homogeneous freezing limit of -40.7°C in wave clouds, where liquid persists until rapid conversion to ice occurs across the droplet ensemble.^[32] Molecular simulations corroborate this, showing ice germs emerging in regions of enhanced local ordering within the supercooled liquid, often yielding initially cubic ice structures before annealing to hexagonal.^[33] Atmospheric implications include its role in cirrus cloud formation in particle-poor environments, such as the upper troposphere, where it caps the homogeneous freezing level and influences radiative properties by setting ice particle concentrations.^[34] Rare modes of ice nucleation encompass less prevalent pathways beyond dominant immersion and deposition heterogeneous processes, including contact freezing and condensation freezing. Contact freezing initiates when a supercooled droplet collides with an extant ice crystal or particle, triggering rapid freezing via mechanical perturbation or localized stress at the interface, with efficiencies peaking near -10°C but declining at deeper supercooling due to ice shell formation on particles.^[30] Condensation freezing, conversely, couples direct vapor deposition to nascent ice germs on aerosol surfaces under high relative humidity, a mode observed primarily in laboratory expansions but rare atmospherically owing to competition from slower deposition alone.^[30] These modes contribute marginally to overall ice production, as their activation demands specific kinematics or supersaturations not ubiquitously met, with empirical rates orders of magnitude below immersion freezing on mineral dust.^[2] Shear-induced nucleation represents an even scarcer variant, where fluid deformation in turbulent flows lowers the energy barrier, potentially elevating rates in dynamic cloud updrafts, though field validation remains limited.^[35]

Sources and Composition

Inorganic and Mineral Dust Nuclei

Inorganic and mineral dust particles, primarily derived from wind-eroded soils in arid and semi-arid regions, constitute a dominant class of heterogeneous ice-nucleating particles (INPs) in the atmosphere due to their global abundance and capacity to initiate ice formation in supercooled clouds via immersion, deposition, or contact nucleation modes.^[36] These particles typically range from submicron to supermicron sizes, with supermicron fractions often exhibiting higher nucleation efficiency owing to greater surface area for active sites.^[1] Mineral dust accounts for a substantial portion of INPs in remote and continental environments, particularly at temperatures below -20°C, where biological alternatives diminish.^[37] The ice nucleation efficiency of mineral dust varies by mineralogy, with phyllosilicate clays such as illite and kaolinite demonstrating superior activity compared to quartz or calcite. Illite, a common mica-like clay, nucleates ice effectively at warmer temperatures (e.g., -10°C to -20°C) in immersion mode, while kaolinite supports both immersion and deposition nucleation, with laboratory studies showing fractional frozen fractions exceeding 0.1 at -15°C for certain samples.^[38] Feldspars, particularly K-feldspar, host dislocation defects and stepped surfaces identified as active sites for ice embryo formation, enabling nucleation at temperatures as high as -15°C under atmospheric humidity conditions.^[39] In contrast, montmorillonite and halloysite exhibit moderate efficiency, with halloysite outperforming kaolinite in some immersion freezing assays due to tubular morphology enhancing water adsorption.^[40] Size-segregated experiments confirm that particles larger than 1 μm are most potent, with nucleation rates scaling with surface area rather than mass alone.^[41] Major sources include desert regions like the Sahara, Gobi, and Australian outback, which emit billions of tons of dust annually, with long-range transport delivering INPs to distant hemispheres.^[42] Global modeling estimates mineral dust as the primary INP contributor in mid-latitudes during dust storm seasons, comprising up to 90% of total INPs in outflow plumes.^[43] Regional variations occur; for instance, glacial flour from Alaskan sources rivals Saharan dust in efficiency for mixed-phase clouds, highlighting underappreciated high-latitude contributions.^[44] Airborne measurements near dust hotspots confirm elevated INP concentrations correlating with PM10 dust levels, underscoring causal links between emission fluxes and cloud glaciation potential.^[36]

Biological and Organic Nuclei

Biological ice nuclei primarily comprise microorganisms, plant-derived particulates, and their fragments, including bacteria, fungal spores, pollen grains, and detrital material, which harbor macromolecules such as proteins and polysaccharides that promote heterogeneous ice formation at temperatures exceeding -15°C via immersion freezing. These biological agents exhibit high nucleation efficiency due to surface structures that template the hexagonal ice lattice, enabling ice embryo development in supercooled water droplets at thresholds warmer than most inorganic particles.^[1]^[30] Bacterial species, particularly Pseudomonas syringae and Xanthomonas spp., generate ice nucleation-active (INA) proteins integrated into their outer cell membranes, facilitating ice crystallization as high as -2°C through repetitive beta-helix domains that organize water molecules into ice-like configurations. These INA proteins, with molecular weights around 120-180 kDa, have been isolated and characterized in lab assays, revealing their role in catalyzing nucleation rates up to 10^6 sites per cell at -5°C, though atmospheric viability depends on cell integrity and dispersal from soil or plant surfaces.^[45]^[46] Fungal spores from ubiquitous genera like Cladosporium, Alternaria, and Mortierella demonstrate ice-nucleating capability, often through aggregated proteins or cell wall components, active between -5°C and -15°C; for example, Cladosporium sphaerospermum spores initiate freezing at -8°C in controlled droplet experiments. Field campaigns in sub-Arctic Europe have identified locally emitted fungal spores as dominant high-temperature INPs (> -10°C), with concentrations correlating to spore bursts during humid conditions, contributing up to 10-100 INPs per liter of air at -12°C in vegetated areas.^[47]^[48]^[49] Pollen from trees such as birch (Betula) and pine (Pinus) serves as INPs, particularly in fragmented form, promoting immersion-mode nucleation between -15°C and -25°C via leachable organic coatings or intact exine layers rather than proteins. Seasonal peaks during anthesis yield pollen fragment densities of 1-1,000 cm⁻³ in the boundary layer, as measured over boreal forests, where they enhance ice production in orographic clouds; efficiency varies, with pine pollen showing lower activity than birch due to differences in surface chemistry.^[50]^[1]^[51] Organic nuclei, distinct yet overlapping with biological sources, encompass biogenic secondary organic aerosols (SOA) from terpene oxidation and marine-derived organics in sea spray aerosols, featuring polysaccharides, exopolysaccharides, and amphiphilic compounds like long-chain fatty acids that lower the energy barrier for ice embryo formation. These particles nucleate ice in immersion mode warmer than mineral dust in oceanic settings, with lab-derived parameterizations indicating marine SOA contributions to cirrus INPs at -38°C via deposition, though immersion activity peaks above -20°C; exopolysaccharides from bacterial exudates, for instance, boost nucleation sites by 10-100 fold in proxy sea spray.^[52]^[53]^[54] In aggregate, biological and organic INPs, while comprising a minor fraction of total aerosol (<1% by number), dominate warm-temperature nucleation (> -15°C) in biotically active regions like forests and oceans, driving mixed-phase cloud glaciation and precipitation efficiency; global models estimate their radiative impact as regionally significant but subordinate to dust overall, with uncertainties tied to emission variability and aging processes.^[30]^[1]^[51]

Anthropogenic Influences on Nuclei Abundance

Anthropogenic activities introduce ice-nucleating particles (INPs) into the atmosphere primarily through combustion processes, industrial emissions, and urban dust generation, thereby elevating INP abundance in polluted regions. Sources include soot and black carbon from fossil fuel burning, solid ammonium sulfate aerosols from industrial pollution, metallic particles, and supermicron dust from traffic and construction activities. These particles often exhibit ice-nucleating efficiency at temperatures warmer than -20°C, supplementing natural mineral dust.^[55]^[56] In urban environments, anthropogenic dust dominates INP populations, contributing approximately 70% of heat-resistant INPs active below -15°C, with supermicron particles accounting for over 95% of total INPs. Measurements in Beijing during summer 2018 revealed that road dust influenced by traffic emissions, rich in crustal elements like calcium (50.5%) and iron (14.9%), served as a primary source, outperforming negligible natural desert dust inputs. Parameterizations based on supermicron particle concentrations (N > 1 μm) predict these INPs with high fidelity (R² = 0.93).^[56] Pollution events further amplify INP concentrations; for instance, heavy haze in Beijing yielded INP levels twice those during dust storms, while continental aerosol loading correlated with INP increases from 5 to 160 L⁻¹ as cloud condensation nuclei rose from 100 to 3200 cm⁻³. Across China, anthropogenic aerosols drove a 5- to 10-fold rise in INP abundance from 1980 to 2000, concentrated in northern mid-latitudes (30–60°N) due to emissions. These enhancements promote heterogeneous nucleation, though outcomes vary: moderate convection sees boosted ice crystal growth, while strong convection yields smaller ice particles via competition with homogeneous freezing.^[57]^[55]

Measurement Techniques

Laboratory and Controlled Experiments

Laboratory experiments on ice nuclei (INPs) primarily utilize controlled environments to quantify nucleation rates under defined temperature, humidity, and aerosol conditions, enabling isolation of particle properties from atmospheric variability. These setups simulate mixed-phase cloud regimes, typically between -40°C and 0°C with ice supersaturations up to 30%, to measure immersion, deposition, or contact freezing modes. Key instruments include continuous flow diffusion chambers (CFDCs), which expose aerosols to a laminar flow of ice-supersaturated air between parallel cold walls, detecting frozen particles via optical microscopy or evaporative sizing; examples are the Zurich Ice Nucleation Chamber (ZINC), operational since 2007, and the University of Toronto CFDC, designed for low-temperature studies down to -50°C.^[58]^[59] Expansion chambers, such as the Aerosol Interaction and Dynamics in the Atmosphere (AIDA) facility at Karlsruhe Institute of Technology, replicate dynamic cloud parcel cooling by rapid pressure reduction, forming ice via homogeneous or heterogeneous pathways while minimizing wall artifacts through large volumes (up to 84 m³). The Portable Ice Nucleation Experiment (PINE), introduced in 2021, uses a piston-driven expansion to avoid frost-induced background signals, achieving detection limits of 0.1 L⁻¹ at -30°C for mineral dust proxies. Validation studies, including intercomparisons of 17 immersion freezing techniques on illite NX particles in 2015, revealed measurement reproducibility within a factor of 5-10 across devices, with cumulative nucleation fractions fitting exponential parametrizations like n_s(T) = (N_tot * exp(α(T - T_0))), where α ≈ 0.5-1.0 K⁻¹ for clays.^[60]^[61] Offline methods complement online chambers; the Ice Nucleation Spectrometer (INS), deployed since around 2018, processes filter-collected aerosols by suspending particles in microliter droplets and scanning freezing temperatures from -35°C to -15°C using automated imaging, yielding immersion-mode spectra with uncertainties below 20% for birch pollen extracts. Controlled tests on AgI seeding agents in 2025 quantified active site densities up to 10¹¹ m⁻² at -10°C, bridging lab data with cloud seeding efficacy by aligning with historical 1960s experiments but refining thresholds via single-particle analysis. Microfluidic droplet arrays, emerging in recent years, enable high-throughput freezing assays (thousands of droplets) under precise relative humidity control, revealing biological INPs like Pseudomonas syringae proteins nucleate at warmer temperatures (-2°C to -8°C) than minerals, with nucleation rates parameterized as J_het = β * exp(γ ΔT), where β scales with protein concentration.^[62]^[63]^[64] These experiments highlight systematic biases, such as undercounting in static chambers due to settling losses or overestimation in dynamic setups from shear-induced contact nucleation, prompting hybrid protocols like the Fifth International Workshop on Ice Nucleation (FIN-02) intercomparisons, which standardized reporting via ice-active site densities (n_s) to reduce discrepancies across labs by 30-50%. Despite advances, challenges persist in replicating contact freezing, often studied via impinger collisions in cold rooms, where efficiencies for soot aggregates drop below 10⁻⁴ at -20°C, underscoring the need for particle-resolved simulations to deconvolve surface defects from bulk composition.^[65]

Atmospheric Sampling and Field Methods

Atmospheric sampling of ice nucleating particles (INPs) primarily employs in situ online instruments and offline collection techniques to quantify concentrations and characterize active particles under field conditions. Online methods, such as the continuous flow diffusion chamber (CFDC), draw ambient air through a chamber where controlled temperature and humidity gradients induce ice supersaturation, allowing detection of ice crystals formed on INPs via optical particle counters.^[59] Field-deployable CFDCs, including models like the University of Toronto CFDC and Handix Scientific CFDC-IAS, have been used in ground-based stations, aircraft campaigns, and ship expeditions to measure INP spectra at temperatures from -40°C to -5°C, revealing concentrations as low as 0.01 L⁻¹ in clean marine air.^[66]^[67] These instruments provide real-time data but face challenges from evaporating ice crystals and variable flow rates, with sizing uncertainties up to 50% for small crystals.^[68] Offline sampling often involves filter collection of aerosols followed by laboratory analysis via immersion freezing assays or droplet-freezing techniques. Particles are captured on filters during field campaigns, then resuspended and subjected to cooling baths or microfluidic arrays to determine freezing temperatures, enabling assessment of biological or mineral INPs.^[69] For instance, ship-based filter samples from ocean expeditions have quantified sea spray INPs active above -25°C, with concentrations correlating to wind speed and primary marine organics.^[5] Electrostatic precipitation (ESP) complements filters by charging and depositing aerosols onto substrates like silicon discs for subsequent scanning electron microscopy or freezing tests, minimizing losses in low-concentration environments.^[70] Field deployments integrate these methods across platforms: ground sites at high altitudes, such as the Changbai Mountains (2623 m a.s.l.), use CFDCs to capture immersion-mode INPs influenced by dust transport, while aircraft like those in NSF/NCAR campaigns employ continuous sampling for vertical profiles.^[71]^[72] Long-term autonomous CFDC records, spanning months, have documented seasonal INP variability tied to source regions, with four-month deployments yielding high-resolution data at -20°C supersaturations of 10-105%.^[73] Despite advancements, inter-comparison reveals discrepancies: CFDC online counts can exceed offline assays by factors of 2-10 due to differing activation modes and wall losses, underscoring needs for standardized protocols.^[74] Emerging microfluidics enhance offline resolution by generating monodisperse droplets for rapid INP enumeration, particularly for biological fractions.^[64]

Atmospheric Roles

Integration in Cloud Microphysics

Ice nucleating particles (INPs) are incorporated into cloud microphysics schemes through parameterizations that predict their activation rates for heterogeneous ice formation, typically as functions of temperature, ice supersaturation, and ambient aerosol characteristics such as supermicron particle concentrations.^[1] These schemes distinguish primary nucleation modes—deposition, immersion, and contact freezing—and link INP efficacy to particle surface area or number density, enabling models to simulate the onset of ice crystal formation in supercooled or cirrus clouds.^[4] Empirical formulations, derived from laboratory and field campaigns, predominate, with examples including the Meyers et al. (1992) parameterization for ice-active site density scaling exponentially with temperature and the DeMott et al. (2010) relation tying immersion-mode INPs to supermicron aerosol numbers via n_{\text{INP}} \propto n_{\text{aer}>0.5\mu\text{m}} \exp(c(T - 273.16)), where c is an empirically fitted coefficient.^[1] In bulk microphysics schemes used in global climate models such as CESM or CAM, INPs are treated diagnostically, assuming fixed or prognosed aerosol fields to compute ice nucleating rates that feed into prognostic equations for ice crystal number and mass concentrations.^[1] More detailed bin or spectral models, like those in cloud-resolving simulations, resolve size distributions and apply time-dependent nucleation rates informed by classical nucleation theory, accounting for competition between homogeneous and heterogeneous pathways.^[1] One such global parameterization, scaling INP density with aerosol surface area and temperature as n_{\text{IN},T} = a \cdot n_{\text{aer},0.5}^b \cdot \exp(c(T-273.2) + d) (with fitted coefficients a=0.0000594, b=3.33, c=0.0264, d=0.0033), integrates into two-moment schemes to modulate phase partitioning between liquid and ice hydrometeors.^[4] The integration of INPs directly modulates cloud evolution by setting initial ice crystal concentrations, which drive processes like the Bergeron-Findeisen mechanism in mixed-phase clouds, accelerating liquid depletion and glaciation while influencing aggregation and riming for precipitation development.^[1] Higher INP availability promotes smaller, more numerous ice crystals, reducing sedimentation rates, prolonging cloud lifetimes, and shifting thermodynamic phase toward ice dominance, as evidenced in CAM simulations where enhanced INP predictions increased liquid water path by 13.6% and decreased ice water path by 19.6% relative to temperature-only schemes.^[4] This alters precipitation timing and efficiency, with studies showing INP-driven glaciation advancing snow formation in midlatitude fronts.^[1] Uncertainties in these integrations stem from INP concentrations varying by orders of magnitude (e.g., 0.01 to over 100 L⁻¹ at −30°C across environments) and parameterizations' reliance on limited datasets, often extrapolated beyond validation ranges, leading to biases in simulated cloud optical properties and radiative forcing.^[1] Mechanistic advancements, incorporating active site densities or molecular-scale interactions, aim to reduce empirical dependencies, but evaluations against aircraft campaigns reveal persistent mismatches in vertical profiles and source attributions, underscoring needs for coupled aerosol-microphysics frameworks.^[1]^[4]

Influence on Precipitation Formation

Ice-nucleating particles (INPs) primarily exert influence on precipitation through heterogeneous ice nucleation in mixed-phase clouds, where temperatures range from 0°C to approximately -38°C, enabling ice crystal formation at warmer thresholds than the homogeneous freezing of supercooled water droplets, which requires temperatures below -36°C to -38°C.^[4]^[1] This heterogeneous pathway seeds ice crystals that drive the Bergeron-Findeisen process, in which ice particles grow preferentially via vapor deposition from ambient supercooled liquid droplets, owing to the lower saturation vapor pressure over ice compared to supercooled water at equivalent temperatures.^[1]^[75] The resulting ice crystals aggregate into snowflakes or rimed particles, which fall through the cloud layer; in warmer conditions, they may sublimate or melt into raindrops, thus initiating much of the precipitation reaching Earth's surface, particularly in mid-latitude and polar regions dominated by mixed-phase clouds.^[1]^[76] Variations in INP concentration modulate this process: low concentrations delay ice initiation, prolonging liquid dominance and potentially suppressing precipitation efficiency, whereas moderate increases accelerate glaciation and enhance fallout rates, as observed in simulations where elevated INPs correlate with higher snowfall amounts.^[77]^[78] Excessively high INP levels, however, can generate abundant small ice crystals that compete for available moisture, reducing individual growth and overall precipitation yield through the formation of diffuse ice clouds rather than efficient aggregates.^[75] Empirical measurements link INP abundance to precipitation chemistry and type; for instance, rainwater samples often exhibit higher INP concentrations associated with prior ice-phase processes, reflecting scavenging during descent, while snowfall events show INP-induced enhancements in ice production that amplify local precipitation totals.^[79]^[80] In boundary-layer influenced clouds, marine or biological INPs can sustain mixed-phase conditions conducive to drizzle or light snow, though their role diminishes in deep convective systems where rapid updrafts favor homogeneous nucleation or secondary ice production over primary heterogeneous effects.^[81]^[75] These dynamics underscore INPs' causal role in bridging cloud microphysics to macroscopic precipitation outcomes, with observational data from field campaigns confirming that INP perturbations alter rain and snow initiation thresholds by 5–10°C in controlled supercooling scenarios.^[82]^[83]

Climatic Implications

Effects on Cloud Radiative Forcing

Ice-nucleating particles (INPs) modulate cloud radiative forcing by altering ice crystal formation, which influences cloud optical properties, phase composition, and persistence in both cirrus and mixed-phase clouds. In cirrus clouds, heterogeneous nucleation on INPs typically produces fewer but larger ice crystals compared to homogeneous freezing, reducing ice water path and optical depth, thereby decreasing the clouds' longwave radiative forcing while minimally affecting shortwave reflection due to their high altitude and thin structure. This results in a net negative radiative forcing, equivalent to a global cooling effect of approximately -0.06 W/m² in model simulations incorporating realistic INP concentrations.^[84] Similarly, black carbon particles acting as INPs in cirrus can suppress homogeneous nucleation events, leading to thinner clouds with reduced radiative impacts that vary regionally but often weaken the positive forcing associated with optically thicker ice clouds.^[85] In mixed-phase clouds, prevalent in mid-latitudes and polar regions, INPs—such as mineral dust—accelerate the Bergeron-Findeisen process, promoting rapid glaciation that depletes liquid droplets and thins the cloud layer. This phase shift diminishes shortwave cloud albedo (cooling effect) while enhancing longwave emissivity closer to blackbody conditions, yielding a net reduction in top-of-atmosphere cooling by up to 7.3 W/m² locally as aerosol optical depth increases, though global averages are smaller. Dust-induced glaciation in these clouds can decrease cloud fraction and optical thickness, amplifying surface warming in dusty environments like the Arctic by altering the balance between reflected solar radiation and trapped terrestrial emission.^[86] ^[87] Reduced INP availability, such as from declining dust emissions, conversely sustains supercooled liquid layers, enhancing shortwave reflection and amplifying the net cooling radiative effect by maintaining higher albedo clouds.^[88] These effects exhibit high variability due to INP source strength, vertical distribution, and interactions with cloud condensation nuclei; for instance, anthropogenic pollution-derived INPs may intensify cirrus forcing positively in polluted regions but induce cooling elsewhere through heterogeneous pathways. Parameterizations in global models often underestimate INP-driven glaciation in mixed-phase regimes, leading to overestimated liquid cloud fractions and biased forcing estimates by 10-20% in sensitive areas like the Southern Ocean. Observational constraints from satellite data confirm that INP perturbations shift mixed-phase cloud ice fractions, directly correlating with radiative anomalies of several W/m² in transitional zones. Uncertainties persist in attributing forcing to specific INP types, as biological and organic nuclei may dominate in pristine environments, potentially offsetting mineral dust influences and complicating net climate feedbacks.^[89] ^[76]^[90]

Feedbacks in Regional and Global Climate

Ice nucleating particles (INPs) play a pivotal role in cloud-phase feedbacks, where variations in their concentration influence the transition between supercooled liquid droplets and ice crystals in mixed-phase clouds, thereby modulating cloud optical properties and radiative effects. In regions like the Southern Ocean, higher INP concentrations promote glaciation, leading to thinner clouds with reduced shortwave reflectivity and enhanced longwave emissivity, which decreases net cloud radiative cooling and contributes to a positive feedback on surface warming.^[91] Simulations indicate that INP-driven glaciation can amplify local warming by altering cloud reflectivity, with inverse relationships observed between INP levels and reflected solar flux in Southern Ocean stratocumulus decks.^[91] This mechanism underscores INPs as a control on cloud albedo, potentially exacerbating regional temperature increases under anthropogenic forcing.^[92] At global scales, INP abundance affects equilibrium climate sensitivity through uncertainties in cloud feedback parameterization, as ice nucleation efficiency determines precipitation formation and cloud persistence in models. Enhanced INP concentrations in global aerosol-climate simulations lead to greater ice production in mid- to high-latitude clouds, reducing low-cloud cover and optical depth, which weakens the negative shortwave cloud feedback and increases projected warming by up to 0.5–1 K in some parameterizations.^[93] Peer-reviewed assessments highlight that cloud-phase partitioning, governed by INPs, contributes significantly to the spread in climate sensitivity estimates across models, with low-INP scenarios favoring persistent liquid clouds that enhance cooling, while higher INPs shift toward ice-dominated regimes that diminish this effect.^[94] Dust and biological INPs, which vary regionally, introduce further variability; for instance, reduced dust emissions under wetter conditions could lower INP availability, indirectly strengthening negative feedbacks via sustained liquid clouds, though empirical constraints remain sparse.^[95] Regional feedbacks are pronounced in polar and extratropical zones, where INP sources like mineral dust or marine organics interact with sea ice dynamics. In the Arctic, increasing dust from retreating permafrost suppresses reductions in ice nucleation under warming, maintaining higher INP levels that promote cloud glaciation and reduce surface albedo feedbacks by thinning overlying clouds.^[96] Observations from 2018–2020 field campaigns link episodic INP pulses from Icelandic dust to enhanced precipitation efficiency, potentially shortening cloud lifetimes and amplifying regional warming through diminished radiative cooling.^[97] Globally, these localized effects propagate via teleconnections, as altered INP-driven precipitation influences atmospheric circulation and water vapor transport, feeding back into tropical dynamics; however, model sensitivities reveal that INP parameterization discrepancies yield uncertainties of 10–20% in global cloud feedback strength.^[98] Empirical data from long-term monitoring underscore the need for refined INP climatologies to reduce biases in feedback estimates, particularly as warming alters source emissions like biogenic INPs from thawing soils.^[99]

Modeling Challenges and Uncertainties

Parameterization Issues in Weather and Climate Models

Parameterization of ice-nucleating particles (INPs) in weather and climate models typically relies on simplified empirical or semi-empirical schemes due to the computational infeasibility of explicitly resolving heterogeneous ice nucleation processes at subgrid scales. These schemes often prescribe INP concentrations as functions of temperature, supersaturation, or aerosol properties, drawing from laboratory data or field observations, but they struggle to capture the heterogeneous distribution and activation thresholds of INPs across diverse atmospheric conditions.^[1] For instance, classical nucleation theory-based approaches assume scaling with particle surface area, yet real-world variability in INP efficacy—spanning orders of magnitude for different particle types like mineral dust or biological aerosols—leads to significant inter-scheme differences in simulated ice formation rates.^[4] Immersion freezing parameterizations, commonly used for liquid-origin ice, require corrections to align with observed nucleation rates, as uncorrected schemes overestimate or underestimate ice production in mixed-phase clouds.^[100] A primary challenge arises from the scarcity and regional variability of potent INPs, particularly at temperatures warmer than -20°C, where biological and organic sources dominate but are poorly quantified for global implementation. Models often default to dust-dominated parameterizations, introducing biases in remote regions like the Arctic, where marine or biomass-derived INPs may prevail, resulting in underprediction of ice in low-level clouds.^[98] ^[101] Contact and deposition freezing modes add further uncertainty, with studies indicating their atmospheric contributions remain debated due to limited mechanistic understanding and measurement inconsistencies. Uncertainty in field-derived INP concentrations propagates to cloud forcing estimates, amplifying errors in radiative balance and precipitation forecasts by factors of 2-10 in sensitivity tests.^[1] Efforts to mitigate these issues include source-attribution schemes that differentiate INP types and stochastic representations to account for subgrid intermittency, yet validation against in-situ observations reveals persistent model-observation discrepancies, such as overestimation of ice supersaturation in cirrus clouds. These parameterization limitations contribute to spread in multi-model ensembles, particularly in projecting cloud feedbacks under warming scenarios, where even small changes in INP efficiency can shift cloud phase partitioning and alter global radiative forcing by up to 1-2 W/m².^[2] ^[43] Ongoing research emphasizes integrating molecular-level insights and machine learning-derived corrections, but comprehensive global datasets remain insufficient to reduce parametric uncertainties below current levels.^[102]

Debates on Source Attribution and Variability

Significant uncertainty persists in attributing atmospheric ice-nucleating particles (INPs) to specific sources, with debates centering on the relative contributions of mineral dust, biological aerosols, and marine emissions. Mineral dust, particularly from regions like the Sahara, is widely recognized as a dominant source of INPs active at temperatures below -15 °C due to its abundance and transport efficiency, yet laboratory studies reveal discrepancies between synthetic dust samples and ambient particles, complicating direct attribution. Biological INPs, such as bacterial cells and fungal spores, are argued to play a larger role at warmer temperatures (above -15 °C), potentially dominating in mid-latitude mixed-phase clouds, though their global impact remains contested due to limited field isolation of particle types and challenges in ecosystem-based modeling.^[1]^[30]^[1] Further contention arises over niche sources like sea spray aerosols, which have been confirmed as INPs in remote marine environments but whose efficiency at cloud altitudes and dependence on organic enrichment from ocean biology are debated, with seasonal variability tied to phytoplankton blooms. Episodic contributions, such as volcanic ash or dust from Iceland, challenge steady-state attribution models by sporadically elevating INP concentrations at mid-to-high latitudes, as evidenced by site density measurements during emission events. Biomass-burning aerosols exhibit high particle loads but low nucleation activity compared to dust, with attribution hindered by mixed compositions during long-range transport.^[5]^[97]^[1] INP concentration variability spans up to four orders of magnitude at fixed temperatures (e.g., 0.01 to >100 L⁻¹ at -30 °C), attributed to differences in particle physicochemical properties, including size, composition, and mixing state, which are source-dependent and altered by atmospheric aging or coatings. Temporal fluctuations, such as diurnal cycles in orographic clouds or seasonal shifts linked to source emissions and removal processes, underscore real atmospheric dynamics, yet measurement technique variations—e.g., in expansion chambers versus continuous flow diffusers—contribute to reported discrepancies, prompting calls for standardized protocols. Global modeling efforts reveal systematic gaps, with simulations underestimating observed INPs in certain regions due to incomplete source parameterizations, highlighting the need for targeted cloud sampling to resolve whether variability stems primarily from source heterogeneity or post-emission processing.^[1]^[103]^[104]^[43]

Applications and Recent Advances

Use in Weather Modification

Artificial ice nuclei, particularly silver iodide (AgI), are dispersed into supercooled clouds to initiate heterogeneous ice nucleation, promoting the formation of ice crystals that can grow via the Bergeron process and enhance precipitation efficiency.^[105] This glaciogenic seeding targets clouds with temperatures between approximately -5°C and -20°C, where natural ice nuclei concentrations are often insufficient for optimal precipitation.^[106] AgI's effectiveness stems from its hexagonal crystal lattice closely matching that of ice, allowing it to serve as an effective nucleant at these temperatures, as demonstrated in laboratory and field studies since its identification by Bernard Vonnegut in the 1940s.^[107] Deployment typically involves aircraft-mounted flares or ground-based generators that burn AgI pyrotechnic mixtures, releasing smoke plumes of submicron particles into updrafts for dispersion.^[108] Operational programs, such as those in Idaho and Colorado since the 1970s, aim to augment snowfall in mountainous regions by 5-15% on average, based on statistical analyses of seeded versus unseeded storms, though attribution remains challenging due to natural variability and upwind influences.^[109]^[110] Recent field campaigns, like the 2017-2018 Seeded and Natural Orographic Wintertime clouds: the Idaho Experiment (SNOWIE), used radar and aircraft observations to confirm elevated ice particle concentrations downwind of AgI releases, correlating with localized snowfall increases of up to 37% in modeled scenarios.^[111] Scientific reviews highlight mixed evidence for precipitation enhancement; randomized trials in the western U.S. report modest gains (e.g., 10% in winter orographic clouds), but a 2003 National Academy of Sciences assessment found no conclusive proof of efficacy due to methodological limitations like inadequate randomization and baseline variability.^[105]^[112] A 2024 U.S. Government Accountability Office review of recent studies affirmed low environmental risks from AgI at operational doses (typically <1 g per seeding event), with no detectable bioaccumulation or health impacts, yet emphasized persistent uncertainties in scaling laboratory nucleation rates to atmospheric conditions.^[113] Critics argue that persistent seeding effects, observed weeks post-operation in some analyses, may confound short-term evaluations, while proponents cite long-term operational data from programs like California's since 1948 showing sustained water yield benefits.^[108] Emerging research quantifies AgI ice-nucleating fractions in clouds at 0.07-1.63%, suggesting potential for refined parameterization but underscoring the need for better source attribution amid natural IN variability.^[63]

Emerging Research on Biological and Molecular Insights

Recent structural studies using high-speed cryo-electron microscopy have revealed that bacterial ice-nucleating proteins (INPs), such as those from Pseudomonas syringae, self-assemble into extended beta-solenoid fibers that template ice formation by aligning water molecules in a hexagonal lattice configuration, enabling nucleation at temperatures as high as -2 °C.^[114] These proteins feature repeating CXXAF motifs that facilitate hydrogen bonding networks mimicking the ice embryo structure, with protein-protein interactions stabilizing multimers up to 20 nm in length for enhanced activity.^[115] Continuity of water-organizing motifs across the protein sequence is critical for potency, as disruptions reduce nucleation efficiency by altering interfacial water ordering.^[116] In fungal systems, Fusarium acuminatum produces ultrasmall ice-nucleating proteins (5-10 kDa) that spontaneously aggregate into supramolecular assemblies, providing a cell-free mechanism for ice templating distinct from bacterial INPs but similarly reliant on hydrophobic cores and repetitive beta-helices for water coordination.^[117] This aggregation is modulated by environmental factors; for instance, polyols like glycerol induce 100-fold enhancements in bacterial INP assembly by promoting larger aggregates, as demonstrated in vitro, suggesting post-translational or extracellular modifications amplify atmospheric relevance.^[118] Emerging evidence also implicates viral particles, with Antarctic sea ice bacteriophages exhibiting ice nucleation activity comparable to bacterial hosts, potentially through capsid-associated proteins that expose ice-like facets, though molecular details remain under investigation.^[119] Microfluidic assays have enabled high-throughput analysis of these biological INPs, revealing temperature-dependent unfolding and reassembly dynamics that underpin their supermicron-scale aggregation in aerosols.^[120] These insights challenge prior models assuming monomeric activity, emphasizing multimeric structures and dynamic interfaces as key to biological ice nucleation efficiency.^[121]

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Radiative forcing of anthropogenic aerosols on cirrus clouds ... - ACP
Jul 3, 2020 · Anthropogenic aerosols impact cirrus clouds through ice nucleation, thereby changing the Earth's radiation budget.
[91]
Strong control of Southern Ocean cloud reflectivity by ice-nucleating ...
Feb 28, 2018 · Here, we combine cloud-resolving model simulations with estimates of the concentration of ice-nucleating particles ... cloud feedback in climate ...
[92]
Strong control of Southern Ocean cloud reflectivity by ice-nucleating ...
Feb 28, 2018 · There is a clear inverse relationship between the mean reflected SW radiative flux and the INP concentration, which was also seen in ...Fig. 1 · Fig. 4 · Fig. 5<|control11|><|separator|>
[93]
Evaluation of Climatic Impacts of Ice-Nucleating Particles through ...
These results provide novel insights into the microphysics involving INPs through the cloud thermodynamic phase and cloud particle growth to precipitation.
[94]
Observational constraint on a feedback from supercooled clouds ...
Apr 6, 2024 · Although other cloud feedback processes can impact extratropical cloud feedback ... climate feedback. Curr. Clim. Change Rep. 1, 288–296 ...
[95]
Decreased dust particles amplify the cloud cooling effect by ...
Sep 13, 2024 · ... ice nuclei distributions and their impacts on climate. ... Field, Opinion: Cloud-phase climate feedback and the importance of ice-nucleating ...
[96]
Increasing Arctic dust suppresses the reduction of ice nucleation in ...
Nov 1, 2024 · Opinion: Cloud-phase climate feedback and the importance of ice-nucleating particles. ... ice nuclei populations in a forest ecosystem. J ...
[97]
Iceland is an episodic source of atmospheric ice-nucleating particles ...
Jun 24, 2020 · Atmospheric particles capable of nucleating ice can markedly alter the radiative properties of cold clouds. These particles are called ice- ...<|separator|>
[98]
Using a region-specific ice-nucleating particle parameterization ...
Feb 5, 2025 · R.: New Primary Ice-Nucleation Parameterizations in an Explicit Cloud Model, J. Appl. Meteorol. Clim., 31, 708–721, https://doi.org/10.1175 ...
[99]
A global climatology of ice-nucleating particles under cirrus ... - ACP
Dec 19, 2022 · BC, BCair, and AmSu are mostly concentrated in the region of 30–60∘ N, as anthropogenic influences and emissions play a key role for these INP ...
[100]
Importance of ice nucleation and precipitation on climate with ... - GMD
Mar 28, 2023 · We find that corrections are needed to the immersion freezing parameterization and that ice nucleation has important impacts on climate.
[101]
Seasonal Variations, Origin, and Parameterization of Ice‐Nucleating ...
Jun 16, 2024 · They are difficult to characterize because of their scarce occurrence, and variability, in the atmosphere, especially at temperatures above −20° ...
[102]
Ice nucleating particles in the troposphere: Progresses, challenges ...
Research advancements in atmospheric INPs are presented. Challenges and opportunities in atmospheric INPs research are discussed.
[103]
Unraveling Ice Nucleating Particle Concentration Variability
This variability results from differences in the ice nucleation ability of particles based on their physicochemical properties, which depend on the origin of ...
[104]
Concentration and variability of ice nuclei in the subtropical maritime ...
The concentration of ice nuclei active at a specific temperature varies over a range of up to 4 orders of magnitude. The frequency with which a certain ice ...Missing: debates | Show results with:debates
[105]
A Review of Cloud Seeding Experiments to Enhance Precipitation ...
This paper provides an overview of the current scientific status of weather modification activities to enhance precipitation for both glaciogenic and ...
[106]
A numerical comparison study of cloud seeding by silver iodide and ...
The seeding material is one of the most important factors to determine effective cloud seeding. Silver iodide and dry ice have been most widely used in ...
[107]
Does cloud seeding really work? An experiment above Idaho ...
Jan 22, 2018 · In the 1940s, atmospheric scientist Bernard Vonnegut found that particles of silver iodide can cause supercool clouds of water vapor to freeze ...Missing: review | Show results with:review
[108]
Persistent Effects of Cloud Seeding with Silver Iodide in
The most conspicuous effect is an increase in precipitation 1 to 3 weeks after a seeded day, which would have caused the conventional statistical estimates of ...
[109]
Science Behind Cloud Seeding | Idaho Department of Water ...
May 15, 2025 · A microscopic dust particle is present in a cloud. This acts as the nucleus or “landing pad” for water droplets to freeze and form an ice ...
[110]
Weather Modification Program | DNR CWCB - Colorado.gov
Cloud seeding is the process of burning silver iodide through an ice nucleus generator that is carried up into the clouds to stimulate the precipitation process ...
[111]
Quantifying the Influence of Cloud Seeding on Ice Particle Growth ...
Cloud seeding enhances ice particle number, ice water content, and snowfall rates, increasing snowfall by an average of 24%, with the highest increase being 37 ...
[112]
Can Cloud Seeding Help Quench the Thirst of the U.S. West?
Mar 3, 2022 · “The Committee concludes that there still is no convincing scientific proof of the efficacy of intentional weather modification efforts,” the ...<|separator|>
[113]
Cloud Seeding Technology: Assessing Effectiveness and Other ...
Dec 19, 2024 · Existing research we reviewed, while limited to a handful of recent studies, suggests silver iodide does not pose an environmental or health ...
[114]
High-speed cryo-microscopy reveals that ice-nucleating proteins of ...
Jul 3, 2024 · Ice-nucleating proteins (INpro) trigger the freezing of supercooled water droplets relevant to atmospheric, biological, and technological ...
[115]
Structure and Protein-Protein Interactions of Ice Nucleation Proteins ...
Microbially-produced ice nucleating proteins (INpro) are unique molecular structures with the highest known catalytic efficiency for ice formation.Abstract · Introduction · Materials and Methods · Results and Discussion
[116]
Water-organizing motif continuity is critical for potent ice nucleation ...
Aug 26, 2022 · Bacterial ice nucleation proteins (INPs) can cause frost damage to plants by nucleating ice formation at high sub-zero temperatures.
[117]
Functional aggregation of cell-free proteins enables fungal ice ...
Nov 9, 2023 · Several species of bacteria, fungi, and insects produce ice nucleators (INs) that enable ice formation at temperatures above −10 °C. Bacteria ...
[118]
Polyol-Induced 100-Fold Enhancement of Bacterial Ice Nucleation ...
Dec 4, 2024 · This study demonstrates that polyols significantly enhance the assembly of INPs into large aggregates, dramatically improving bacterial ice nucleation ...
[119]
Ice nucleation activity of two Antarctic sea ice bacteriophages ...
Microbial ice nucleation has been suggested as a survival mechanism to tolerate cold atmospheric conditions but to date no reports exists whether virus ...
[120]
Microfluidics for the biological analysis of atmospheric ice ...
Some viruses and archaea are also ice nucleation active, though it is not clear that they are present in sufficient concentrations to compete with other INPs.Missing: controversies | Show results with:controversies
[121]
Ice nucleation proteins self-assemble into large fibres to ... - eLife
Dec 18, 2023 · This valuable study provides molecular-level insights into the functional mechanism of bacterial ice-nucleating proteins, detailing ...