Results 251 to 260 of about 2,263,914 (354)

Spatiotemporal Droughts Propagation and Direct Driving Variables Under Climate Change Projections: A Case Study of Tunisia

open access: yesInternational Journal of Climatology, EarlyView.
Drought spatiotemporal propagation and direct driving variables are assessed at multiple time steps with high spatial resolution using various drought indices (SPI, SPEI and SPDI) and entropy based mutual information under an ensemble of climate change projections over Tunisia. ABSTRACT Projecting drought occurrence and spatiotemporal propagation under
Haykel Sellami
wiley   +1 more source

Human-induced climate change amplification on storm dynamics in Valencia's 2024 catastrophic flash flood. [PDF]

open access: yesNat Commun
Calvo-Sancho C   +10 more
europepmc   +1 more source

Best bet forages species for different edapho-climatic conditions [PDF]

open access: yes, 2020
Cardoso Arango, Juan Andrés   +1 more
core  

Projected Annual and Monsoonal Precipitation Trends of CMIP6 Over Peninsular Malaysia

open access: yesInternational Journal of Climatology, EarlyView.
In this study, we examined historical and projected precipitation temporal trends across Peninsular Malaysia using ground‐based records and CMIP6 models from NEX‐GDDP. Analysing data from 518 reliable gauges over 1973–2022, it identified spatial and monsoonal variations.
Nurul Afiqah Mohamad Arbai   +1 more
wiley   +1 more source

Projected Intensification of Hydroclimatic Extremes in Rio Grande do Norte, Brazil, Under CMIP6 Scenarios

open access: yesInternational Journal of Climatology, EarlyView.
The graphical abstract presents observed (1963–2023) and projected changes in hydroclimatic extremes in Rio Grande do Norte, Brazil. It integrates dry‐spell duration (CDD) and extreme precipitation (R95pTOT) using CMIP6 multimodel ensembles under SSP1‐2.6, SSP2‐4.5, and SSP5‐8.5.
Daris Correia dos Santos
wiley   +1 more source

Performance Evaluation of the MPAS Model in Simulating Southeast Asian Rainfall Characteristics

open access: yesInternational Journal of Climatology, EarlyView.
This study evaluates the performance of the Model for Prediction Across Scales–Atmosphere (MPAS) in reproducing key rainfall characteristics over Southeast Asia (SEA) during 2000–2020, using the MSWEP dataset as reference. MPAS realistically captures the observed meridional rainfall gradient, with higher rainfall in the south and lower in the north, as
Nguyen Thanh Hung   +4 more
wiley   +1 more source

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