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The estimation of cloud radiative forcing due to aerosol‐cloud interactions, RFaci (also known as the first indirect effect), relies on approximating the cloud albedo susceptibility to changes in droplet concentration, β. β depends on the cloud albedo and droplet concentration, both of which can be observed by satellites. Satellite observations are often spatially aggregated to coarser resolutions, typically 1 × 1° scenes. However, on such spatial scales, the cloud albedo tends to be heterogeneous, whereas the β approximation assumes homogeneity. Here, we demonstrate that the common practice of aggregating satellite data and neglecting cloud albedo heterogeneity results in an average overestimation of 10% in previous estimates of the RFaci. Additionally, we establish a relationship between the magnitude of the bias in β and Stratocumulus morphologies, providing a physical context for cloud heterogeneity and the associated bias. Lastly, we propose a correction method that can be applied to cloud albedo gridded data. Plain Language Summary This paper explores the effect of cloud albedo morphology, which is a reflection of cloud heterogeneity, on radiative forcing due to aerosol‐cloud interactions (RFaci). The RFaci is estimated from satellite observations based on the assumption that clouds are homogeneous within a given scene. However, when satellite data is spatially aggregated to reduce the amount of data to a user‐friendly gridded format—a common practice—this assumption is no longer valid. Consequently, an overestimation of the RFaci occurs, particularly in heterogeneous scenes, where the overestimation can reach up to 50%. This means that the RFaci is lower than previously estimated. Our results also suggest that cloud albedo enhancement due to an increase in droplet concentrations would be most effective in homogeneous scenes. Therefore, marine cloud brightening strategies should take cloud albedo homogeneity into account to achieve the most effective albedo enhancement. Key Points The common practice of spatial aggregation of satellite data into 1 × 1° scenes leads to an average 10% overestimation of the RFaci The overestimation is due to neglecting cloud albedo heterogeneity, and is associated to different types of Stratocumulus morphologies A correction is proposed, which calls for the incorporation of cloud reflectance statistics in Level 3 data

Cloud susceptibility to aerosol (CSA) refers to their sensitivity to increases in condensation nuclei (CN) concentration. Yet, CSA in mixed-phase clouds remains largely unexplored. This study investigates CSA in marine boundary layer clouds during cold-air outbreaks, where ice particles are often present, using the WRF model coupled with the NTU microphysical scheme. In warm clouds, the CSA of cloud albedo (precipitation) remains positive (negative); however, this sensitivity weakens as CN concentration increases. In mixed-phase clouds, CSA signal remains positive in sign but becomes weaker (relative to the warm clouds) and non-monotonic. Reflecting the interplay of multiple microphysical processes under varying aerosol conditions, cold precipitation increases with increasing aerosol loadings and peaks at intermediate CN concentrations, shaping the CSA of cloud albedo into an inversed-N pattern. Aside from microphysical responses, cloud fraction—a macro-physical feature—also shows susceptibility to aerosol effects. As CN increases, cloud fraction tends to decrease, which can mitigate up to one-third of the cloud albedo CSA in warm clouds and three-fourths in mixed-phase clouds.

Marine stratocumuli cool the Earth effectively due to their high reflectance of incoming solar radiation and persistent occurrence. The susceptibility of cloud albedo to droplet number concentration perturbations depends strongly on large-scale meteorological conditions. Studies focused on the meteorological dependence of cloud adjustments often overlook the covariability among meteorological factors and their geographical and temporal variability. We use 8 years of satellite observations sorted by day and geographical location to show the global distribution of marine low-cloud albedo susceptibility. We find an overall cloud brightening potential for most marine warm clouds, which is more pronounced over subtropical coastal regions. A weak cloud darkening potential in the annual mean is evident over the remote SE Pacific and SE Atlantic. We show that large-scale meteorological fields from the ERA5 reanalysis data, including lower-tropospheric stability, free-tropospheric relative humidity, sea surface temperature, and boundary layer depth, have distinct covariabilities over each of the eastern subtropical ocean basins where marine stratocumuli prevail. This leads to a markedly different annual cycle in albedo susceptibility over each basin. Moreover, we find that basin-specific regional relationships between key meteorological factors and albedo susceptibilities are absent in a global analysis. Our results stress the importance of considering the geographical distinctiveness of temporal meteorological covariability when scaling up the local-to-global response of cloud albedo to aerosol perturbations.

Quantification of the radiative adjustment of marine low clouds to aerosol perturbations, regionally and globally, remains the largest source of uncertainty in assessing current and future climate. One of the important steps towards quantifying the role of aerosol in modifying cloud radiative properties is to quantify the susceptibility of cloud albedo and liquid water path (LWP) to perturbations in cloud droplet number concentration (Nd). We use 10 years of spaceborne observations from the polar-orbiting Aqua satellite to quantify the albedo susceptibility of marine low clouds to Nd perturbations over the northeast (NE) Pacific stratocumulus (Sc) region. Mutual information analysis reveals a dominating control of cloud state (e.g., LWP and Nd) on low-cloud albedo susceptibility, relative to the meteorological states that drive these cloud states. Through a LWP–Nd space decomposition of albedo susceptibilities, we show clear separation among susceptibility regimes (brightening or darkening), consistent with previously established mechanisms through which aerosol modulates cloud properties. These regimes include (i) thin non-precipitating clouds (LWP < 55 g m−2) that exhibit brightening (occurring 37 % of the time), corresponding to the Twomey effect; (ii) thicker non-precipitating clouds, corresponding to entrainment-driven negative LWP adjustments that manifest as a darkening regime (36 % of the time); and (iii) another brightening regime (22 % of the time) consisting of mostly precipitating clouds, corresponding to precipitation-suppression LWP positive adjustments. Overall, we find an annual-mean regional low-cloud brightening potential of 20.8±2.68 W m−2 ln(Nd)−1, despite an overall negative LWP adjustment for non-precipitating marine stratocumulus, owing to the high occurrence of the Twomey–brightening regime. Over the NE Pacific, clear seasonal covariabilities among meteorological factors related to the large-scale circulation are found to play an important role in grouping conditions favorable for each susceptibility regime. When considering the covarying meteorological conditions, our results indicate that for the northeastern Pacific stratocumulus, clouds that exhibit the strongest brightening potential occur most frequently within shallow marine boundary layers over a cool ocean surface with a stable atmosphere and a dry free troposphere above. Clouds that exhibit a darkening potential associated with negative LWP adjustments occur most frequently within deep marine boundary layers in which the atmospheric instability and the ocean surface are not strong and warm enough to produce frequent precipitation. Cloud brightening associated with warm-rain suppression is found to preferably occur either under unstable atmospheric conditions or humid free-tropospheric conditions that co-occur with a warm ocean surface.

Cloud albedo susceptibility to droplet number perturbation remains a source of uncertainty in understanding aerosol–cloud interactions and thus both past and present climate states. Through the Energy Exascale Earth System Model (E3SM) v2 experiments, we probe the effects of competing processes on cloud albedo susceptibility of low-lying marine stratocumulus in the northeast Pacific. In present-day conditions, we find that increasing precipitation suppression by aerosols increases cloud albedo susceptibility, whereas increasing cloud sedimentation decreases it. By constructing a hypothetical model configuration exhibiting negative susceptibility under all conditions, we conclude that cloud albedo change due to aerosol perturbation cannot be predicted by present-day co-variabilities in E3SM v2. As such, our null result herein challenges the assumption that present-day climate observations are sufficient to constrain past states, at least in the context of cloud albedo changes to aerosol perturbation.

Warm boundary layer clouds in the eastern North Atlantic region exhibit significant diurnal variations in cloud properties. However, the diurnal cycle of the aerosol indirect effect (AIE) for these clouds remains poorly understood. This study takes advantage of recent advancements in the spatial resolution of geostationary satellites to explore the daytime variation in the AIE by estimating the cloud susceptibilities to changes in cloud droplet number concentration (Nd). Cloud retrievals for the month of July over 4 years (2018–2021) from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on Meteosat-11 over this region are analyzed. Our results reveal a significant “U-shaped” daytime cycle in susceptibilities of the cloud liquid water path (LWP), cloud albedo, and cloud fraction. Clouds are found to be more susceptible to Nd perturbations at noon and less susceptible in the morning and evening. The magnitude and sign of cloud susceptibilities depend heavily on the cloud state defined by cloud LWP and precipitation conditions. Non-precipitating thin clouds account for 44 % of all warm boundary layer clouds in July, and they contribute the most to the observed daytime variation. Non-precipitating thick clouds are the least frequent cloud state (10 %), and they exhibit more negative LWP and albedo susceptibilities compared to thin clouds. Precipitating clouds are the dominant cloud state (46 %), but their cloud susceptibilities show minimal variation throughout the day. We find evidence that the daytime variation in LWP and albedo susceptibilities for non-precipitating clouds is influenced by a combination of the diurnal transition between non-precipitating thick and thin clouds and the “lagged” cloud responses to Nd perturbations. The daytime variation in cloud fraction susceptibility for non-precipitating thick clouds can be attributed to the daytime variation in cloud morphology (e.g., overcast or broken). The dissipation and development of clouds do not adequately explain the observed variation in cloud susceptibilities. Additionally, daytime variation in cloud susceptibility is primarily driven by variation in the intensity of cloud response rather than the frequency of occurrence of cloud states. Our results imply that polar-orbiting satellites with an overpass time at 13:30 LT underestimate daytime mean values of cloud susceptibility, as they observe susceptibility daily minima in the study region.

The Urban Heat Island (UHI) effect is a phenomenon that typically occurs in areas with dense infrastructure and limited vegetation. Nature-based solutions (NbS) have been proposed to mitigate the effects of climate change and have been proved to reduce the frequency of its hazards. Therefore, this research examines how UHIs are influenced by the simulated implementation of NbS. The area of interest (AOI) of this study is the city of Milan in Northern Italy and the purpose of this research is two-fold. First, to train machine learning (ML) models to predict Surface UHI (SUHI) susceptibility and intensity, and their corresponding SUHI maps, based on land cover, Land Surface Temperature (LST), Normalised Difference Vegetation Index (NDVI), Normalised Difference Built-up Index (NDBI) and other ancillary data. Afterwards, the produced SUHI intensity ML model was re-evaluated to analyse the expected behaviour of simulated NbS, specifically for green roofs and parks. The NDVI, NDBI, and albedo of the simulated vegetation areas were changed to the average values of the urban vegetation in the City of Milan, 0.57, −0.17, and 0.15 respectively. The SUHI statistics of the specific areas of change were analysed pre and post simulation. The results showed that green roofs have the potential to lower SUHI intensity by 5 degrees Kelvin. The proposed methodology can be extended to simulate multiple scenarios based on specific needs.

We constructed the A-Train co-located aerosol and marine warm cloud data from 2006 to 2010 winter and spring over East Asia and investigated the sensitivities of single-layer warm cloud properties to aerosols under different precipitation statuses and environmental regimes. The near-surface stability (NSS), modulated by cold air on top of a warm surface, and the estimated inversion strength (EIS) controlled by the subsidence are critical environmental parameters affecting the marine warm cloud structure over East Asia and, thus, the aerosols–cloud interactions. Based on our analysis, precipitating clouds revealed higher cloud susceptibility to aerosols as compared to non-precipitating clouds. The cloud liquid water path (LWP) increased with aerosols for precipitating clouds, yet decreased with aerosols for non-precipitating clouds, consistent with previous studies. For precipitating clouds, the cloud LWP and albedo increased more under higher NSS as unstable air promotes more moisture flux from the ocean. Under stronger EIS, the cloud albedo response to aerosols was lower than that under weaker EIS, indicating that stronger subsidence weakens the cloud susceptibility due to more entrainment drying. Our study suggests that the critical environmental factors governing the aerosol–cloud interactions may vary for different oceanic regions, depending on the thermodynamic conditions.

The Geysernaya River valley in Kamchatka, known for its unique hydrothermal manifestations, has experienced activation of slope processes, mainly landslide ones, in recent decades. Three large landslides that occurred in 1981, 2007 and 2014 led to significant changes in the morphology of the valley and the activity mode of some geysers. The article presents an assessment of the susceptibility of the Geysernaya River valley to landslide development, performed using the landslide susceptibility modeling (LSM) approach based on the RandomForest algorithm. Unlike traditional landslide hazard assessment methods, LSM analyzes spatial relationships between past landslide occurrences and a range of natural factors. The model incorporated geological, geomorphological and hydro-geomorphological characteristics, as well as surface thermal anomalies derived from Landsat-8 data for 2017–2021, minus topographic effects (i.e., only as a consequence of the earth’s heat flow, albedo and weather differences). The modeling results indicate that the most landslide-hazardous areas are concentrated along the left side of the Geysernaya River valley within fault zones (mainly along the circular fault of the caldera edge), elevated thermal anomaly zones (∆T > 5°C) and at the contact between weakly lithified volcanogenic–lacustrine deposits (tuff sandstones, tuff gravelites and tuff siltstones) and more resistant extrusive rocks (dacites and liparites). Also, high landslide probabilities are noted on the right side of the valley in the near-edge parts of the Krugloe Plateau and the Geysernaya Extrusion. At the same time, the Shumnaya River valley segment, characterized by similar geological and geomorphological conditions, but lacking active gas-hydrothermal vents, exhibits significantly lower landslide susceptibility values. Here, the near-edge parts of the Shirokoe and Krugloe Plateaus within the considered valley area are most susceptible to landslide processes. Heterogeneous lithology is one of the most essential predictors of landslide susceptibility for both valleys.

Field and laboratory no-choice oviposition tests were performed to determine whether the ‘Persian’ lime (Citrus latifolia Tanaka) is a host of Anastrepha ludens Loew (Diptera: Tephritidae). Trapping and fruit sampling were performed to determine adult population densities and the level of infestation in the two lime orchards. Additionally, unharvested and harvested limes were exposed to sexually mature flies and the number of eggs laid and the immature developmental rates were determined. As a control, parthenocarpic ‘Ataulfo’ mangoes (Mangifera indica L.), a suitable host for A. ludens, were exposed to similar experimental procedures. The fecundity and fertility of adults obtained from limes and mangoes were compared. Our results demonstrate that A. ludens, under forced infestation conditions, oviposit on limes and also on control fruit. However, differences were detected in unharvested and harvested fruit, as unharvested limes were not infested. In the case of harvested fruit, the numbers of eggs laid and survival rates of immatures were significantly lower for ‘Persian’ limes compared with mangoes. Egg clutches were larger in limes than in mangoes, and most were deposited in the albedo rather than in the pulp. Moreover, oviposition rates were much higher in limes than in mangoes. Despite the fact that few of the immatures reached adulthood, the females obtained from limes were as fecund and fertile as those obtained from mangoes. Although adult A. ludens flies were captured in the two orchards, fruit sampling showed a complete absence of natural infestation among ‘Persian’ limes. We discuss the importance of our findings for determining the host status for ‘Persian’ limes.