Hydrological models - Open Access .click

Results 201 to 210 of about 6,789,625 (240)

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 +2 more
wiley +1 more source

A comparative assessment of cluster-based regionalization approaches using conceptual rainfall-runoff models. [PDF]

Sci Rep
Ougahi JH, Rowan JS.
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 +3 more
wiley +1 more source

Climate-driven spatial reorganization of cropland nitrogen pollution hotspots toward arid and semi-arid regions. [PDF]

Natl Sci Rev
Qiu J +7 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 +6 more
wiley +1 more source

Extraction of Time-Varying Signals in GNSS and Geophysical Interpretation: Methods, Advances, and Challenges. [PDF]

Sensors (Basel)
Li X, Wu S, Li H, Liu B, Bian S, He Y.
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 +5 more
wiley +1 more source

Synthetic streamflow generation for the ungauged Omo Kuraz watershed using MIKE 11 NAM parameter regionalization. [PDF]

Sci Rep
Erenso KT, Mohammed AK, Lohani TK.
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 +4 more
wiley +1 more source

Research progress on agricultural water information sensing and applications in high-altitude cold regions. [PDF]

Sci Prog
Yang Y, Xu Y, Su L, Guo Y, Yang Y.
europepmc +1 more source

climate change
italy
swat