Contribution of Satellite-Derived Aerosol Optical Depth PM<sub>2.5</sub> Bayesian Concentration Surfaces to Respiratory-Cardiovascular Chronic Disease Hospitalizations in Baltimore, Maryland. [PDF]
Braggio JT, Hall ES, Weber SA, Huff AK.
europepmc +1 more source
Satellite Observations Show Negligible Impact of Mineral Dust on Cloud Droplet Number
Abstract The susceptibility of cloud droplet number concentration Nd $\left({N}_{\mathrm{d}}\right)$ to aerosols (β) $(\beta )$ remains challenging to constrain in satellite observations. This difficulty arises from limitations in representing cloud condensation nuclei, which depend on aerosol size and composition.
Goutam Choudhury +2 more
wiley +1 more source
Comparative analysis of CAMS aerosol optical depth data and AERONET observations in the Eastern Mediterranean over 19 years. [PDF]
Tuna Tuygun G, Elbir T.
europepmc +1 more source
Evaluating the Impact of Assimilating Aerosol Optical Depth Observations on Dust Forecasts Over North Africa and the East Atlantic Using Different Data Assimilation Methods. [PDF]
Choi Y +6 more
europepmc +1 more source
CNN‐Based Retrieval of 3D Cloud Structures Solely From Geostationary Satellite Imagery
Abstract The cloud vertical structure (CVS) is important, yet operational CVS products depend on active observation or reanalysis fields, limiting high‐frequency monitoring. In this study, we propose a lightweight and satellite‐only model that reconstructs volumetric cloud masks from geostationary multispectral imagery.
Chi Yang +7 more
wiley +1 more source
Influence of COVID-19 Lockdown on Aerosol Optical Depth over Pokhara and Kyanjin Gompa in Nepal
Silwal A +6 more
europepmc +1 more source
Abstract Uncertainty in anthropogenic forcing driven by aerosol‐cloud interactions (aci) limits our ability to infer the sensitivity of the Earth system to forcing from historical records. The driver of aci is the change in cloud droplet number concentration (Nd) due to changes in aerosol serving as cloud condensation nuclei (CCN).
Dani B. Jones +9 more
wiley +1 more source
Interconnection of Aerosol‐Cloud Interactions and Cloud Feedback Through Warm Rain Process
Abstract Recent research has revealed a correlation within the Coupled Model Intercomparison Project Phase 6 (CMIP6) simulations: models exhibiting more pronounced warming due to positive cloud feedback simultaneously show enhanced cooling from aerosol‐cloud interactions (ACI).
Chuan Feng +10 more
wiley +1 more source
Improving Dust Aerosol Optical Depth (DAOD) Retrieval from the GEOKOMPSAT-2A (GK-2A) Satellite for Daytime and Nighttime Monitoring. [PDF]
Ahn S, Kim HS, Byon JY, Lim H.
europepmc +1 more source
Abstract In situ measurements of stratospheric aerosol are the only measurements that provide sufficient detail to determine aerosol number, size, surface area, volume/mass, and effective radius; however, these measurements are limited in space and time.
Terry Deshler, Lars E. Kalnajs
wiley +1 more source

