Results 181 to 190 of about 8,971 (314)
Abstract Climate change impacts include contributions from both anthropogenic forcing and internal (natural) climate variability. Large ensembles of Earth System Model (ESM) simulations have been used to quantify the influence of natural variability in climate change impact projections. However, such ensembles have high computational costs.
M. Saenger +3 more
wiley +1 more source
Benchmarking the geographic generalization of deep learning models for precipitation downscaling. [PDF]
Harder P +7 more
europepmc +1 more source
Methods for statistical downscaling of GCM simulations
General Circulation Models (GCMs) are used to study the change of climate due to increases in greenhouse gases in the atmosphere. As GCMs operate on !arge spatial scales, and, furthermore, as the GCM-simulated temporal resolution corresponds to monthly averages at best, the usefulness of GCM data in impact studies and other applications is limited. The
openaire +1 more source
Abstract Fairbanks, Alaska is an example of a subarctic city that experiences severe wintertime air quality episodes characterized by high concentrations of fine particulate matter (PM2.5) and nitrogen oxides (NO and NO2 = NOx). Previous research into these air quality episodes has focused on the impact of surface‐based inversions that trap local ...
Alicia Hoffman +15 more
wiley +1 more source
Abstract Convection‐permitting dynamical downscaling (CPDD) allows for an explicit representation of the convective storms that generate tornadoes, hail, severe thunderstorm winds, and locally heavy precipitation. Possible changes in such hazardous convective weather (HCW) due to human‐induced climate change are therefore projected with higher ...
Songning Wang +4 more
wiley +1 more source
South American Mesoscale Convective Systems: Present and Future Climates
Abstract This study investigates the mesoscale convective systems (MCSs) over South America in a future climate using two distinct modeling approaches: the Weather Research and Forecasting (WRF) regional model with dynamical downscaling and pseudoglobal warming, and the Nonhydrostatic Icosahedral Atmospheric Model (NICAM) global cloud‐resolving model ...
Amanda Rehbein +2 more
wiley +1 more source
Attention-Enhanced CNN-LSTM with Spatial Downscaling for Day-Ahead Photovoltaic Power Forecasting. [PDF]
Peng F, Tang X, Xiao M.
europepmc +1 more source
NuSAP Safeguards Centriole Integrity to Mediate CEP57‐CEP152 Torus Recruitment for Proper Engagement
This study reveals a novel role for the microtubule stabilizer NuSAP at centrioles. NuSAP depletion destabilizes the centriole's tubulin structure, causing premature disengagement, PCM defects, and mis‐localization of the CEP57‐CEP63‐CEP152 complex. By reinforcing centriole architecture, NuSAP enables early CEP57 loading and initiates a newly proposed ...
Shiyu Zhang +8 more
wiley +1 more source
High-resolution forecasting of soil thermal regimes using different deep learning frameworks under climate change. [PDF]
Saeidinia M +4 more
europepmc +1 more source
Abstract INTRODUCTION Cyclic alternating pattern (CAP) is a sleep physiological rhythm observed during non–rapid eye movement (NREM) stage. However, the potential role of CAP for risk of dementia remains unknown. METHODS We studied 2,557 participants enrolled in the prospective Osteoporotic Fractures in Men (MrOS) Sleep Study.
Ying Zheng +7 more
wiley +1 more source

