Results 181 to 190 of about 128,938 (302)
Automated reanalysis of genomic data for rare disease diagnostics at scale. [PDF]
Welland MJ +36 more
europepmc +1 more source
ERA5 Can Overstate Changes in the Frequency of Extreme Heat: A New Zealand Case Study
ERA5 reproduces broad patterns of summer warming across New Zealand but underestimates temperature variability and warm‐tail extremes, biasing estimates of extreme heat risk. ABSTRACT Summertime temperature extremes exert profound impacts on human health, ecosystems, and infrastructure, yet their characteristics and drivers remain poorly quantified in ...
Sayed Waseem Iqbal +2 more
wiley +1 more source
An eastward-propagating coupled mode amplifying the early growth of extreme El Niño events. [PDF]
Liang Y +4 more
europepmc +1 more source
Regional heavy rainfall events (RHREs) in Guangdong, South China, during 1961–2025 are reassessed using an improved strength index that integrates rainfall intensity, spatial extent and duration. Results reveal a post‐1991 shift towards more frequent and spatially extensive strong and extreme events, with June showing the most pronounced ...
Wei Liu +6 more
wiley +1 more source
Reviving Data Potential─The Reanalysis-Driven Metabolomics Data Repository MB-POST. [PDF]
Takahashi Y +13 more
europepmc +1 more source
Four decades of UTCI data show increasing thermal stress along Ghana's coastal‐urban corridor, with very strong heat‐stress days rising by about 1.4 days/year. Random Forest–SHAP analysis with temporal validation identified AOD as the strongest model‐based predictor of monthly UTCI variability, followed by TSA, WHWP, and AMO.
Kwadwo Frimpong +3 more
wiley +1 more source
Physics-based data augmentation to enhance deep learning performance in tropical cyclone and storm surge modelling. [PDF]
Iwamoto T, Takagawa T.
europepmc +1 more source
North West Shelf Copernicus model forced by Atlantic reanalysis and extraction of environmental indices.
openaire +1 more source
The changes in joint return period of compound meteorological hot‐dry (CMHHE) and hot‐wet (CMHWE) and compound hydrological hot‐dry (CHHDE) and hot‐wet (CHHWE) extremes were attributed to changes in associated univariate extremes and their dependence.
Ruting Yang +6 more
wiley +1 more source

