Results 61 to 70 of about 2,625 (189)
Ingeniería del AguaEste trabajo analiza el desempeño de productos de precipitación estimada con satélite y de reanálisis mediante la precipitación máxima anual en México, información clave para el diseño de infraestructura hidráulica.
Luis Armando Hernández-González +3 more
doaj +1 more source
Remote Sensing, 2019 A new satellite-based technique for rainfall retrieval in high spatio-temporal resolution (3 km, 15 min) for Iran is presented. The algorithm is based on the infrared bands of the Meteosat Second Generation Spinning Enhanced Visible and Infrared Imager ...
Nazli Turini, Boris Thies, Joerg Bendix
doaj +1 more source
Urban rainfall trends in IMERG datasets
Environmental Research LettersAbstract Satellite precipitation records are increasingly used to assess whether urbanisation modifies local rainfall. However, it remains unclear whether reported urban signals reflect physical processes or artefacts from evolving satellite observing systems.
Shankar Sharma +3 more
openaire +1 more source
Investigating Wintertime GPM‐IMERG Precipitation in the North Atlantic
Geophysical Research Letters, 2021 Abstract Precipitation is expected to increase in a warming climate, which can have profound impacts on local and global hydrologic budgets. However, the precipitation in high latitudes remains highly uncertain.
Linette Boisvert +2 more
openaire +2 more sources
Journal of Geophysical Research: Atmospheres, Volume 131, Issue 16, 28 August 2026.Abstract Anthropogenic warming is expected to substantially modify the hydroclimate of South America, a region in which low‐level jets (LLJs) and mesoscale convective systems (MCSs) are key components of moisture transport and precipitation. However, the responses of these systems to future climate change, including the relative roles of thermodynamic ...
Ye Mu +6 more
wiley +1 more source
Remote Sensing, 2023 The Integrated Multi-satellitE Retrievals for the Global Precipitation Measurement (IMERG) provides new-generation satellite precipitation datasets with high spatio-temporal resolution and accuracy, which is widely applied in hydrology and meteorology ...
Zehui Zhou +5 more
doaj +1 more source
A Deep Learning Model of Lightning Stroke Density
Journal of Geophysical Research: Atmospheres, Volume 131, Issue 15, 16 August 2026.Abstract Lightning plays a crucial role in the Earth's climate system; however, existing parameterizations for use in forecasting and earth system models show room for improvement in capturing spatial and temporal variations in its frequency. This study develops deep learning‐based parameterizations of lightning stroke density using meteorological ...
Randall Jones II +3 more
wiley +1 more source
Geomatics, Natural Hazards & Risk, 2021 The purpose of this study is to understand flooding in a 1,725-km2 arid catchment in Makkah Province, Saudi Arabia, with very limited ground observations.
Ahmed M. Al-Areeq +2 more
doaj +1 more source
Recent Decrease in Precipitation Asymmetry of Landfalling Tropical Cyclones Across South China
Geophysical Research Letters, Volume 53, Issue 15, 16 August 2026.Abstract South China is one of the most frequently affected regions by landfalling tropical cyclones (TCs) worldwide. Owing to its complex topography and environmental conditions, TC precipitation in this region typically exhibits pronounced asymmetry, with substantially stronger rainfall on the southern‐side of the TC center.
Shunqi Zeng +6 more
wiley +1 more source
Journal of Geophysical Research: Atmospheres, 2023 AbstractMesoscale convective systems (MCSs) constitute only a fraction of convective systems in the tropics but significantly impact tropical weather and global climate. Early studies used satellite infrared (IR) data to track MCSs and study their properties but only for a short period due to computing limitations.
Manikandan Rajagopal +3 more
openaire +2 more sources