Results 181 to 190 of about 14,323 (266)

Satellite and Reanalysis Dataset Dependence of ETCCDI Extreme Precipitation Trends in Paraná, Southern Brazil

International Journal of Climatology, EarlyView.
Extreme precipitation trends detected in Paraná, Southern Brazil (1983–2024), are strongly conditioned by the dataset used, with reanalyses indicating coherent inland drying and longer dry spells, observations retaining stronger mesoscale heterogeneity, and satellite products often showing declines in short‐duration extremes. Monthly diagnostics reveal
Paulo Miguel de Bodas Terassi, Jakeline Baratto, Vitor Hugo Rosa Biffi   +2 more
wiley   +1 more source

Unveiling spring behaviour through copula-based inter-spring connectivity in the Central Himalaya. [PDF]

Sci Rep
Mukherjee S, Gosavi VE, Singh S, Lodhi MS.   +3 more
europepmc   +1 more source

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

Evaluation of Habitat Suitability and Assessment of the Invasion Risk of Water Hyacinth [<i>Eichhornia crassipes</i> (Mart.) Solms] in Global Freshwater Ecosystems. [PDF]

Plants (Basel)
Adhikari P, Adhikari P, Poudel A, Lee YH, Hong SH.   +4 more
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

Evaluation of GSMaP and MSWEP precipitation products for runoff simulation in the Lhasa River Basin. [PDF]

PLoS One
Wu L, Ren Y, Huang P, Yuan S, Zhou C, Gu Z, Guo Y, Zhou L.   +7 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

Effect of plant ash incorporation on hydrologic processes of coarse-textured soils. [PDF]

Sci Rep
Acuña EJ, Bonilla CA.
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

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