Results 161 to 170 of about 5,932 (255)

Seasonal Predictions and Their Applications in the Mediterranean Region: Part I—Sources of Predictability and Prediction Skill

open access: yesInternational Journal of Climatology, EarlyView.
The ability to predict climate fluctuations at seasonal timescales offers significant socio‐economic benefits. However, limited understanding of predictability mechanisms and model errors hinders forecast quality. Recent research has improved forecasting systems and data quality.
Gualdi Silvio   +12 more
wiley   +1 more source

Evapotranspiration Profiles and Trends in Seasonally Dry and Seasonally Humid Tropical Forests

open access: yesInternational Journal of Climatology, EarlyView.
Moisture availability and vegetation are decisive factors in ET variations, which are greater in the Atlantic Forest. Precipitation contributes positively to ET variations (r = 0.20–0.67). Significant trends (p < 0.05) in ET were identified, with opposing patterns.
Lucas de Morais Teixeira   +5 more
wiley   +1 more source

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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