Results 241 to 250 of about 24,488,859 (359)
Enhancing flood prediction through physics-driven typhoon feature engineering and machine learning. [PDF]
Zhang Z +5 more
europepmc +1 more source
This study reveals how climate change alters the water cycle in the Three Rivers Source region by degrading its important ‘solid groundwater’ (seasonally frozen ground). We found that runoff response varies by watershed and the role of permafrost decreases sharply, making water supply more dependent on rainfall and becoming increasingly vulnerable ...
Chenchen Ren +6 more
wiley +1 more source
Rivers under stress: geochemical changes along a rural-urban gradient during extreme hydrological events (Greve River, Italy). [PDF]
Ferrari M +4 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
Two decades of human- and climate-induced groundwater storage shifts in Brazil. [PDF]
Getirana A +3 more
europepmc +1 more source
Integrating a reservoir regulation scheme into a spatially distributed hydrological model
Gang Zhao +4 more
semanticscholar +1 more source
P. Laiolo +12 more
semanticscholar +1 more source
Global reanalyses, for example ERA5 and ERA5‐Land, tend to misrepresent the local‐scale weather extremes due to the limited spatial resolution. In this paper CERRA shows clear and consistent improvements over ERA5 and ERA5‐Land in representing extreme temperature and precipitation in Poland, particularly for localized and short‐lived heavy rainfall ...
Kinga Kulesza +2 more
wiley +1 more source
Integrating multi-task learning with a differentiable physics constrained framework for hydrological forecasting. [PDF]
Yan Y, Yu Z, Zhu J, Wang J, Li Q.
europepmc +1 more source
Framework illustrating the comparison of different reference evapotranspiration (ETo) estimation methods and the integration of baseline ETo, crop water requirement (CWR), and irrigation water requirement (IWR) calculations with downscaled CMIP6 climate projections under SSP245 and SSP585 scenarios for the mid‐century and late‐century periods across ...
Umesh Kumar Sujakhu +3 more
wiley +1 more source

