Results 81 to 90 of about 1,454 (169)

Evaluation of satellite rainfall estimates over Ethiopian river basins [PDF]

Hydrology and Earth System Sciences, 2011
High resolution satellite-based rainfall estimates (SREs) have enormous potential for use in hydrological applications, particularly in the developing world as an alternative to conventional rain gauges which are typically sparse.
T. G. Romilly, M. Gebremichael
doaj   +1 more source

A Thermodynamically Informed Precipitation Retrieval Method Based on FY‐4A/AGRI Multi‐Channel Infrared Observations Over Complex Terrain

Geophysical Research Letters, Volume 52, Issue 20, 28 October 2025.
Abstract Accurate precipitation monitoring is critical for hazard risk mitigation in regions characterized by complex terrain. To address these challenges, this study proposes a two‐stage framework that integrates thermodynamic controls, including cloud top brightness temperature (BT) from FengYun‐4A geostationary Multi‐Infrared observations And ...
Kang He, Ziqiang Ma, Shengqi Li, Tao Chen, Tianchi Xu, Longhao Li, Xingwen Jiang, Tun Wang   +7 more
wiley   +1 more source

Probabilistic Near‐Real‐Time Retrievals of Rain Over Africa Using Deep Learning

Journal of Geophysical Research: Atmospheres, Volume 130, Issue 20, 28 October 2025.
Abstract We introduce Rain over Africa (RoA), a public retrieval algorithm providing near‐real‐time precipitation estimates over the African continent. The retrievals are based on Meteosat thermal infrared observations. Therefore, rain can be monitored constantly, minutes after input data dissemination.
Adrià Amell, Lilian Hee, Simon Pfreundschuh, Patrick Eriksson   +3 more
wiley   +1 more source

Evaluation of Machine Learning Models to Improve Daily Precipitation Estimations From Orbital Remote Sensing and Reanalysis Data

International Journal of Climatology, Volume 45, Issue 12, October 2025.
Combined machine learning methods improve satellite‐based data (IMERG) in Brazil to produce accurate daily precipitation estimations in Brazil (IMERG BraMaL‐D) without dependence on ground‐based data. Calibration on the accumulated daily scale for a monthly scale is more efficient than monthly calibration.
Emerson da Silva Freitas, Victor Hugo Rabelo Coelho, Guillaume Francis Bertrand, Filipe Carvalho Lemos, Cristiano das Neves Almeida   +4 more
wiley   +1 more source

Long‐Term Precipitation Estimates Generated by a Downscaling‐Calibration Procedure Over the Tibetan Plateau From 1983 to 2015

Earth and Space Science, 2019
The World Meteorological Organization stipulates a minimum of 30 years of historical data is needed to obtain meaningful results in climatological research.
Z. Q. Ma, D. Ghent, X. Tan, K. He, H. Y. Li, X. Z. Han, Q. T. Huang, J. Peng   +7 more
doaj   +1 more source

Global Increase of Tropical Cyclone Precipitation Rate Toward Coasts

Geophysical Research Letters, Volume 52, Issue 17, 16 September 2025.
Abstract Tropical cyclones (TCs) induced precipitation poses a critical threat to coastal regions. In the context of global warming and humidification, it remains to be clarified whether coastal exposure to TC‐induced precipitation has a detectable response. Based on multi‐source data sets in the past four decades, this study investigates the coastward
Weiqing Qi, Bin Yong, Elizabeth A. Ritchie, J. Scott Tyo, Ralf Toumi   +4 more
wiley   +1 more source

Assessing the Efficacy of High-Resolution Satellite-Based PERSIANN-CDR Precipitation Product in Simulating Streamflow

Journal of Hydrometeorology, 2016
AbstractThis study aims to investigate the performance of Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR) in a rainfall–runoff modeling application over the past three decades.
Hamed Ashouri, Phu Nguyen, Andrea Thorstensen, Kuo-lin Hsu, Soroosh Sorooshian, Dan Braithwaite   +5 more
openaire   +1 more source

Advancing High‐Resolution Precipitation Analysis for Operational Hydrological Applications in Australia: Data Sources, Methodologies, and Recommendations

WIREs Water, Volume 12, Issue 5, September/October 2025.
Evolutionary tree of representative precipitation products and the methods behind them. ABSTRACT High‐resolution precipitation products (e.g., km‐scale and hourly) are essential for capturing extreme rainfall dynamics and improving hydrological models for flood forecasting and related applications.
Yuhang Zhang, Quan J. Wang, Andrew J. Frost, Blair Trewin, Jayaram Pudashine, Carlos Velasco‐Forero, Chun‐Hsu Su, Vincent Villani   +7 more
wiley   +1 more source

Performance of High Resolution Satellite Rainfall Products over Data Scarce Parts of Eastern Ethiopia

Remote Sensing, 2015
Accurate estimation of rainfall in mountainous areas is necessary for various water resource-related applications. Though rain gauges accurately measure rainfall, they are rarely found in mountainous regions and satellite rainfall data can be used as an ...
Shimelis B. Gebere, Tena Alamirew, Broder J. Merkel, Assefa M. Melesse   +3 more
doaj   +1 more source

Comprehensive Evaluation of High-Resolution Satellite-Based Precipitation Products over China

Atmosphere, 2015
Characterizing the errors in satellite-based precipitation estimation products is crucial for understanding their effects in hydrological applications. Six precipitation products derived from three algorithms are comprehensively evaluated against gauge ...
Hao Guo, Sheng Chen, Anming Bao, Junjun Hu, Banghui Yang, Phillip M. Stepanian   +5 more
doaj   +1 more source