Results 181 to 190 of about 7,716 (264)

Multi‐Timescale Drought Evolution in Greece (1960–2022) From Station‐Based SPI and SPEI

International Journal of Climatology, EarlyView.
Using homogenized data from 67 HNMS stations in Greece (1960–2022), we calculated SPI and SPEI at 1–12‐month scales to characterize meteorological to hydrological drought. We quantified the network‐based spatial extent of drought, compared SPI and SPEI drought signals, and tested changes with autocorrelation‐robust Mann–Kendall trends and Pettitt ...
Michael Samouris, Anna Mamara, Vasileios Armaos, Athanassios Argiriou   +3 more
wiley   +1 more source

Runoff Potential Index (RPI): 3D modelling of surface-driven hydrological dynamics for drought resilience. [PDF]

Sci Rep
Correa ES.
europepmc   +1 more source

Station‐Based Assessment of Sub‐Seasonal Climate Trends in the Tyrolean Alps (Austria)

International Journal of Climatology, EarlyView.
In this study, we quantify the magnitude and significance of sub‐seasonal trends in the Tyrolean Alps (Austria) by collecting, processing and analysing meteorological observations from a dense network of climate stations. Our analysis indicates a warming rate of 0.43°C/dec over 1964–2023, greater sub‐seasonal trend variability when the analysis window ...
Erwin Rottler, Elena Bertazza, Franz Wagner, Gertraud Meißl, Theresa Schellander‐Gorgas, Johannes Schöber, Ulrich Strasser   +6 more
wiley   +1 more source

Projecting groundwater flood risk in a lowland karst system under future climates. [PDF]

Sci Rep
Tabbussum R, Basu B, Morrissey P, Murphy C, Gill L.   +4 more
europepmc   +1 more source

Machine Learning‐Based Correction of Reanalysis Surface Radiation Fluxes Using Ground‐Measured Data in the Southern Brazilian Pampa Biome

International Journal of Climatology, EarlyView.
This study demonstrates that ERA5 provides more accurate surface radiation flux estimates than MERRA2 across the Southern Brazilian Pampa. Machine learning models, particularly Random Forest, further improved the precision of reanalysis data for climate applications.
Olusola Samuel Ojo, Michel Baptistella Stefanello, Alecsander Mergen, Maria Eduarda Oliveira Pinheiro, Vanessa de Arruda Souza, Débora Regina Roberti   +5 more
wiley   +1 more source

Regionally divergent drivers behind transgressions of the freshwater change planetary boundary. [PDF]

Nat Commun
Virkki V, Andersen LS, Te Wierik S, Gerten D, Porkka M.   +4 more
europepmc   +1 more source

Statistical Downscaling of Daily Temperature and Precipitation From Regional Climate Models in Complex Mountain Terrain

International Journal of Climatology, EarlyView.
The study provides insights for post‐processing climate model output in complex terrain, useful for climate change impact models. We compared different bias adjustment and downscaling techniques from quantile delta mapping to simple lapse rates. We developed a new spatial downscaling method based on principal components analysis, which showed superior ...
Michael Matiu, Anna Napoli, Alberto Bellin, Dino Zardi, Bruno Majone   +4 more
wiley   +1 more source

Spatio-temporal dynamics of riverine cyanobacteria and selected water quality indicators under two hydrological regimes. [PDF]

Sci Rep
Klotz F, Herrmann M, Ishikawa M, Helms M, Brehm T, Baschek B, Fischer H, Kleinteich J.   +7 more
europepmc   +1 more source

Intercomparison of a Regional Climate Model Ensemble for Selected European Catchments

International Journal of Climatology, EarlyView.
This study analyzes a regional climate model ensemble for water cycle and water resource research with two models. Results show that ICON generally outperforms TSMP1 simulations, mainly with 2‐m temperature and precipitation. These findings serve as a baseline evaluation that shows how key structural differences influence the model skill.
Jane Leonor Roque, Francis Da Silva Lopes, Julian Alberto Giles, Benjamin D. Gutknecht, Bernd Schalge, Yikui Zhang, Marco Ferro, Petra Friederichs, Klaus Goergen, Stefan Poll, Arianna Valmassoi   +10 more
wiley   +1 more source

Adaptive multihazard modeling predicts rainfall-driven dam failure: a case study. [PDF]

Sci Rep
Nasser M, Assefa E, Assefa SM, Sachpazis CC, Pantelidis L.   +4 more
europepmc   +1 more source