Results 181 to 190 of about 3,755 (297)
Historical and future extremes of cauvery basin analysed using cmip6 models and ETCCDI indices. [PDF]
Sridhara S +6 more
europepmc +1 more source
The Taiwan Empirical‐Statistical Downscaling (TaiESD) dataset utilises quantile mapping (QM) for temperature and quantile delta mapping (QDM) for precipitation bias correction. It was developed to provide high‐resolution climate change information for Taiwan.
Cheng‐Ta Chen +3 more
wiley +1 more source
Observed and projected climate extremes in northwest highlands of Ethiopia and their implications in potato-based farming systems. [PDF]
Ayalew A +5 more
europepmc +1 more source
Historical observations and bias‐corrected CMIP6 projections reveal intensifying warm extremes, declining cold events and increasingly irregular precipitation patterns across Morocco. Future warming, particularly under SSP5‐8.5, produces an almost linear amplification of heat, aridity and hydrological stress, leading to longer droughts and more intense
Oualid Hakam +4 more
wiley +1 more source
Extreme rainfall reshapes permafrost thermal regimes across the Northern Hemisphere. [PDF]
Li Q +5 more
europepmc +1 more source
We downscale CanESM2 with the Regional Climate Model version 4 (20 km) and evaluate against 15 stations to derive monthly PET (Hargreaves–Samani) and SPEI for northeastern Iran (1990–2009, 2040–2059, 2080–2099). Results show robust PET increases and a shift toward more negative monthly SPEI—especially April–September—indicating earlier onset and longer
Nasrin Salehnia +6 more
wiley +1 more source
Deep vision-based framework for coastal flood prediction under sea level rise and shoreline protection. [PDF]
Karapetyan A, Chow ACH, Madanat S.
europepmc +1 more source
Detection, Attribution and Projection of Precipitation Structure Changes Over Northwest China
The precipitation structure shows a change trend of ‘the frequency of light precipitation decreased and the intensity of heavy precipitation increased’; attribution analysis shows that greenhouse gas forcing (GHG) is the main driving factor of precipitation structure change, and the model underestimates its impact, while aerosol forcing (AER) and ...
Shigen Wang +3 more
wiley +1 more source

