Evaluation of CMIP6 Models in Simulating Australian Monsoon Over Northern Australia
The study assesses CMIP6 models for their ability to simulate key aspects of the Australian summer monsoon, including precipitation patterns, wind circulation, monsoon onset/retreat, and ENSO teleconnections. Most models overestimate rainfall, underestimate wind strength, and simulate more uniform ENSO influence across northeast and northwest Australia.
Rida S. Kiani +4 more
wiley +1 more source
Impact of heavy rainfall on ambulance response time in Japan. [PDF]
Uttajug A +3 more
europepmc +1 more source
Regional frequency analysis for mapping drought events in north-central Chile [PDF]
Cornelis, Wim +5 more
core +1 more source
Development of Optimum Rainfall Threshold to Predict of Rainfall-induced Landslides Occurrence
Ji Sung Lee, Yun Tae Kim
openaire +1 more source
Mapping the Spatial Scales of Australian Extreme Precipitation Using Daily Rain Gauges
We present the first continent‐wide analysis of the spatial scales of daily extreme precipitation events (EPEs) in Australia using station observations and semivariogram analysis. EPEs generally have larger spatial scales at higher latitudes, with strong seasonal and regional differences shaped by topography, meteorological regimes, and climate ...
Dongqi Lin +2 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
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
Climate predictors of child undernutrition: Insights from a machine learning model. [PDF]
Essiam FAAP +5 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

