Results 291 to 300 of about 32,789 (349)
Abstract The monsoon intraseasonal oscillation (MISO) modulates heavy precipitation during the Indian summer monsoon, but accurate rainfall simulation remains a challenge in state‐of‐the‐art models. Our analysis reveals a moisture bias in MISO using simulations from the sixth phase of the Coupled Model Intercomparison Project models.
Qingjian Shi, Jianhuang Qin, Baosheng Li
wiley +1 more source
Atmospheric stability sets maximum moist heat and convection in the midlatitudes. [PDF]
Li F, Tamarin-Brodsky T.
europepmc +1 more source
Submesoscale Vertical Heat Flux Amplifies a Cross‐Scale Positive Feedback in the Western Arabian Sea
Abstract High‐resolution simulations reveal that summer monsoon‐induced upwelling in the western Arabian Sea triggers vigorous submesoscale vertical heat flux (SVHF), challenging the conventional view of winter‐dominant submesoscale activity in open‐ocean settings.
Chaoliang Li, Peng Zhan
wiley +1 more source
Reveal the deployable solar energy potential and emission reduction benefits in the arid areas of Xinjiang. [PDF]
Li N +5 more
europepmc +1 more source
Abstract Quantifying fault frictional properties is fundamental to understanding slip behavior and seismic hazard. We analyze 2 years of Sentinel‐1 SAR data following the 2023 Turkey earthquake doublet using Independent Component Analysis‐enhanced Small Baseline Subset‐InSAR, to resolve postseismic deformation and invert for afterslip on the East ...
Jianlong Chen +4 more
wiley +1 more source
A Benchmark Dataset for Satellite-Based Estimation and Detection of Rain. [PDF]
Pfreundschuh S +19 more
europepmc +1 more source
Abstract Inverse grading, where coarse particles overlay finer materials, is common on talus slopes, yet its progressive formation under realistic conditions is rarely quantified. We integrate multi‐year field observations with controlled freeze‐thaw experiments to elucidate the processes driving particle migration that result in inverse grading and ...
Weibo Li +9 more
wiley +1 more source
A cul-de-sac effect makes Emilia-Romagna more prone to floods in a changing climate. [PDF]
Scoccimarro E +6 more
europepmc +1 more source
Forecasting the Future With Yesterday's Climate: Temperature Bias in AI Weather and Climate Models
Abstract AI‐based climate and weather models provide fast, skillful forecasts yet face a key challenge: predicting future climates while being trained with historical data. We investigate this issue by analyzing boreal winter land temperature biases in AI weather (FourCastNet V2 Small and Pangu Weather) and climate (Ai2 Climate Emulator version 2 ...
Jacob B. Landsberg, Elizabeth A. Barnes
wiley +1 more source

