Results 81 to 90 of about 2,560 (196)

Bias adjustment of satellite-based precipitation estimation using artificial neural networks-cloud classification system over Saudi Arabia [PDF]

, 2018
Precipitation is a key input variable for hydrological and climate studies. Rain gauges can provide reliable precipitation measurements at a point of observations.
Alharbi, R, Hsu, K, Sorooshian, S
core   +1 more source

A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons [PDF]

, 2018
In this paper, we present a comprehensive review of the data sources and estimation methods of 30 currently available global precipitation data sets, including gauge-based, satellite-related, and reanalysis data sets.
Ashouri, H, Duan, Q, Hsu, KL, Miao, C, Sorooshian, S, Sun, Q   +5 more
core   +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

Evaluation of Six Satellite-Based Precipitation Products and Their Ability for Capturing Characteristics of Extreme Precipitation Events over a Climate Transition Area in China

Remote Sensing, 2019
Extreme precipitation has received much attention because of its implications for hazard assessment and risk management. However, accurate precipitation information for extreme precipitation research from dense rain gauges is still difficult to obtain in
Jie Liu, Jun Xia, Dunxian She, Lingcheng Li, Qiang Wang, Lei Zou   +5 more
doaj   +1 more source

Statistical Evaluation and Trend Analysis of ANN Based Satellite Products (PERSIANN) for the Kelani River Basin, Sri Lanka

Applied Computational Intelligence and Soft Computing, 2022
Satellite-based precipitation products, (SbPPs) have piqued the interest of a number of researchers as a reliable replacement for observed rainfall data which often have limited time spans and missing days.
Helani Perera, Miyuru B. Gunathilake, Ravindu Panditharathne, Najib Al-mahbashi, Upaka Rathnayake   +4 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

Utility of satellite-based precipitation products for drought monitoring over Morocco

Geomatics, Natural Hazards & Risk
Satellite precipitation products (SPPs) offer valuable data for large-scale drought analysis, although their accuracy varies with climate characteristics and data processing algorithms.
Abdessamad Hadri, Mariame Rachdane, Kaouthar Iazza, El Mahdi El Khalki, Ismaguil Hanadé Houmma, Mohamed Elmehdi Saidi   +5 more
doaj   +1 more source

Validation of Satellite-Based PERSIANN Rainfall Estimates Using Surface-Based APHRODITE Data over Iran [PDF]

Earth Sciences, 2015
Surface-based precipitation measurements with high accuracy on different spatial-temporal scales have a crucial importance in different land-use planning sectors, especially in arid and semi-arid regions, such as Iran. Because the density of spatial distribution of rain-gauges is not uniform throughout the country, satellite sensor technology is ...
openaire   +1 more source

Evaluation of satellite-based precipitation estimation over Iran [PDF]

, 2013
Precipitation in semi-arid countries such as Iran is one of the most important elements for all aspects of human life. In areas with sparse ground-based precipitation observation networks, the reliable high spatial and temporal resolution of satellite ...
Katiraie-Boroujerdy, Pari-Sima, Kuo-lin Hsu, Nasrin Nasrollahi, Soroosh Sorooshian   +3 more
core   +2 more sources