Results 91 to 100 of about 26,673 (196)
Tạp chí Khoa học và Công nghệReliable precipitation data are critical for rainfall–runoff modeling and flood forecasting, yet rain gauge networks remain sparse in many developing regions.
Hung T. Pham +2 more
doaj +1 more source
Rare Tropical Cyclones: Tropical Cyclone Hidaya, A High‐Impact Low‐Latitude Event
Meteorological Applications, Volume 33, Issue 5, September/October 2026.The unusual development and landfall of Tropical Cyclone Hidaya in May 2024 in Tanzania was at an exceptionally low latitude. Although tropical cyclones rarely form or persist this close to the equator due to weak planetary vorticity, Hidaya was a rare event that challenges established dynamical constraints on tropical cyclone activity.
Kwesi Twentwewa Quagraine +1 more
wiley +1 more source
, 2020 The Global Precipitation Measurement (GPM) mission has generated global precipitation products of improved accuracy and coverage that are promising for advanced hydrological and meteorological studies.
Shuangyu Yao +5 more
core +1 more source
A Spatial-Temporal Extreme Precipitation Database from GPM IMERG
, 2021 Extreme precipitation events (EPEs) have the potential to create catastrophic flooding, landslides, and infrastructure damage. We diagnose the spatial and temporal characteristics of EPEs by using the Integrated Multi-SatellitE Retrievals for Global ...
Zhou, Yaping +5 more
core +1 more source
Performance of GPM-IMERG satellite precipitation for rainfall-runoff modeling in Indonesia
Water Practice & TechnologyAccurate discharge predictions are essential for effective water resource management, including irrigation, drinking water supply, hydropower, reservoir management, environmental flow, and flood assessment.
Entin Hidayah +4 more
semanticscholar +1 more source
Meteorological Applications, Volume 33, Issue 5, September/October 2026.Three satellite‐based rainfall nowcasting products used in the WISER EWSA testbeds, CRR, IMERG‐HQ and the new machine‐learning‐based Rain over Africa (RoA), were evaluated against high‐resolution rain gauges, lightning observations and cloud‐top temperature in Zambia. While all products captured broad rainfall patterns, systematic biases remained.
Simon Ageet +8 more
wiley +1 more source
Meteorological Applications, Volume 33, Issue 5, September/October 2026.This study evaluates the performance of satellite‐based, reanalysis, and multisource blended precipitation datasets over Afghanistan during 2008–2020. The results reveal spatial and seasonal differences in dataset skill, particularly across complex terrain and arid regions.
Manli Su +3 more
wiley +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn the global precipitation measurement (GPM) era, the integrated multisatellite retrievals for GPM (IMERG) stands as a pivotal precipitation algorithm. This study aims to evaluate the accuracy of IMERG in capturing precipitation frequency and volume in ...
Yunfei Tian +7 more
semanticscholar +1 more source
Evaluation of GPM IMERG satellite precipitation for rainfall–runoff modelling in Great Britain
Hydrological Sciences JournalReliable hydrological simulations require accurate precipitation data. However, data uncertainties due to the indirect nature of satellite estimates can propagate through hydrological models and lead to simulation errors. This study assesses the accuracy
Jagrati Gautam +3 more
semanticscholar +1 more source
Towards a Machine Learning Snowfall Retrieval Algorithm for GPM-IMERG
, 2023 Remote sensing of snowfall has been proved to be a great challenge since the start of the satellite era. Several techniques have been applied to satellite data to estimate the fraction of frozen precipitation that reaches the surface.
Manolis Koubarakis +4 more
core +1 more source