Results 201 to 210 of about 13,991,990 (295)

Transforming Agricultural Water Management for Healthy People and Planet: Thinking Beyond Water

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT This paper develops the concept of Thinking Beyond Water, a transdisciplinary paradigm that reframes agricultural water management (AWM) as a systems catalyst for planetary health, equity, justice and resilience. Moving beyond conventional irrigation‐centric models, we reimagine AWM through integrative frameworks such as the planetary ...
Tafadzwanashe Mabhaudhi   +6 more
wiley   +1 more source

Construction and Application of a Novel C‐Vine Copula‐Based Multi‐Variate Ecological Drought Index

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT A comprehensive ecological drought index capturing vegetation growth conditions and meteorological–hydrological variability is essential for assessing ecological drought and optimizing water resource management. This study selected soil moisture (SM), actual evapotranspiration (ET), land surface temperature (LST) and leaf area index (LAI) to ...
Haofei Zhang, Xingye Han, Zhijun Wu
wiley   +1 more source

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

open access: yesInternational 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

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

open access: yesInternational 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

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

open access: yesInternational 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

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