Heat and Cold Waves in Brazil: An ERA5‐Based Analysis of Trends and Seasonality (1980–2024)
This study uses ERA5 reanalysis data to assess changes in extreme heat and cold events across Brazil from 1980 to 2024. Results reveal a sharp increase in heatwave frequency and a general decline in coldwave occurrences, though regional variations are substantial.
Alindomar Lacerda Silva, Scott Sheridan
wiley +1 more source
A multi-task deep learning approach for landslide displacement prediction with applications in early warning systems. [PDF]
Strnad D +3 more
europepmc +1 more source
Seasonal Variability of Precipitating Systems in Four Radar Domains of Northeast Brazil
This study analyzes the climatology and evaluates how the physical aspects of precipitating systems are influenced by the dry and wet seasons in Northeast Brazil, highlighting seasonal variations in the frequency, size, intensity, and duration of these systems in the regions of Natal, Maceió, Petrolina, and Salvador.
Amanda Carolina da Silva Queiroz +1 more
wiley +1 more source
Modeling Extreme Rainfall Using the Generalized Extreme Value Distribution and Exceedance Analysis in Colima, Mexico. [PDF]
Renteria R, Aquino R, Polanco M.
europepmc +1 more source
Assessing Past and Future Temperature‐ and Precipitation‐Based Indicators in the Republic of Yemen
For the first time in the literature, this work assesses the past and future climatic trends over Yemen, a highly vulnerable country for which science‐based, high‐quality information for the development of climate change adaptation plans was not available until now.
Jorge Alvar‐Beltrán +5 more
wiley +1 more source
Enhancing rainfall estimation accuracy with machine learning, cloud masking, and multi-source data: A case study of four coastal provinces in central Vietnam. [PDF]
Vu Duy D +4 more
europepmc +1 more source
Rainfall estimation using a cloud patch classification map [PDF]
B. P. Dobrin +20 more
core +1 more source
This review explores climate predictions as actionable decision‐making tools, focusing on the Mediterranean. It examines transforming forecasts into user‐defined information through bias adjustment, downscaling and impact models. Highlighting collaborative EU initiatives, it addresses challenges like limited forecasting skill and data accessibility ...
Silvio Gualdi +12 more
wiley +1 more source
Lagged effect of temperature and rainfall on malaria incidence in Colombia (2013-2023): An approach with Bayesian spatiotemporal adjustment. [PDF]
Gutiérrez JD.
europepmc +1 more source
Conifers growing in high‐elevation alpine environments in the mountains of Southern California, USA, are highly responsive to atmospheric river (AR) events, which typically produce heavy precipitation over 1–3 days. However, it is the frequency of the AR events, not their magnitude nor annual precipitation totals, that most affects the radial growth of
Paul A. Knapp +2 more
wiley +1 more source

