Exposing Process‐Level Biases in a Global Cloud Permitting Model With ARM Observations
Abstract The emergence of global convective‐permitting models (GCPMs) represents a significant advancement in climate modeling, offering improved representation of deep convection and complex precipitation patterns. In this study, we evaluate the performance of the Simple Cloud‐Resolving E3SM Atmosphere Model (SCREAM) using its doubly periodic ...
Peter A. Bogenschutz+8 more
wiley +1 more source
Remote sensing of optical and microphysical properties of cirrus clouds using Moderate‐Resolution Imaging Spectroradiometer channels: Methodology and sensitivity to physical assumptions [PDF]
P. Rolland+4 more
openalex +1 more source
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health [PDF]
Drought threatens food and water security around the world, and this threat is likely to become more severe under climate change. High resolution predictive information can help farmers, water managers, and others to manage the effects of drought. We have created an open source tool to produce short-term forecasts of vegetation health at high spatial ...
arxiv
Abstract Understanding cloud phase changes over the Tibetan Plateau (TP) is crucial for regional and global climate research. Based on 17 years (2003–2019) of satellite and reanalysis data combined with a multivariate regression model, this study identifies a distinctive transition from supercooled to ice clouds over the TP, in contrast to most Asian ...
Ying Zhang+6 more
wiley +1 more source
Sensitivity of cirrus bidirectional reflectance to vertical inhomogeneity of ice crystal habits and size distributions for two Moderate‐Resolution Imaging Spectroradiometer (MODIS) bands [PDF]
Ping Yang+9 more
openalex +1 more source
Abstract Submesoscale processes (submesoscales) play a crucial role in vertical tracer transport, which are typically stronger in winter than summer. However, recent studies revealed enhanced submesoscale activities following tropical cyclones (TCs) during summer months, though their characteristics, mechanisms, and dynamical impacts remain obscure ...
Huaxin Wang, Zhiwei Zhang
wiley +1 more source
Temperature‐Dependent Optical Properties of Ice Crystals in the Far‐Infrared Regime
Abstract A database of temperature‐dependent hexagonal ice aggregate optical properties in the far‐infrared (FIR) spectrum is developed to support FIR missions, particularly the current Polar Radiant Energy in the Far InfraRed Experiment and the upcoming Far‐infrared‐Outgoing‐Radiation Understanding and Monitoring.
Tong Ren+4 more
wiley +1 more source
Satellite-based data can provide continuous aerosol observations but suffer from significant uncertainties across various regions. Transfer learning improves model generalization, yet its application in atmospheric research remains limited.
Xiaohu Sun, Yong Xue, Lin Sun
doaj
Spatiotemporal analysis of LST changes in Morocco: Assessing climate change impacts [PDF]
In line with global climate change trends, Morocco has faced significant environmental challenges, including rising temperatures, decreased precipitation, and increased droughts, which have adversely affected its natural resources and agricultural ...
Rhziel Fatima Zahrae+3 more
doaj +1 more source
Comparison of seasonal and spatial variations of albedos from Moderate‐Resolution Imaging Spectroradiometer (MODIS) and Common Land Model [PDF]
Lei Zhou+13 more
openalex +1 more source