Review of GPM IMERG performance: A global perspective

RK Pradhan, Y Markonis, MRV Godoy… - Remote Sensing of …, 2022 - Elsevier
Accurate, reliable, and high spatio-temporal resolution precipitation data are vital for many
applications, including the study of extreme events, hydrological modeling, water resource …

Hydrometeorological extreme events in Africa: The role of satellite observations for monitoring pluvial and fluvial flood risk

M Gosset, PA Dibi-Anoh, G Schumann… - Surveys in …, 2023 - Springer
This article reviews the state of the art in the use of space-borne observations for analyzing
extreme rainfall and flood events in Africa. Floods occur across many space and timescales …

How 2022 extreme drought influences the spatiotemporal variations of terrestrial water storage in the Yangtze River Catchment: Insights from GRACE-based drought …

G Xu, Y Wu, S Liu, S Cheng, Y Zhang, Y Pan… - Journal of …, 2023 - Elsevier
Under global warming, extreme climatic events frequently occurred worldwide such as
extreme drought and heavy flood. Analysis of drought and flood spatiotemporal evolution …

The global satellite precipitation constellation: Current status and future requirements

C Kidd, G Huffman, V Maggioni… - Bulletin of the …, 2021 - journals.ametsoc.org
To address the need to map precipitation on a global scale, a collection of satellites carrying
passive microwave (PMW) radiometers has grown over the last 20 years to form a …

Suitability of 17 rainfall and temperature gridded datasets for largescale hydrological modelling in West Africa

M Dembélé, B Schaefli… - Hydrology and Earth …, 2020 - hess.copernicus.org
This study evaluates the ability of different gridded rainfall datasets to plausibly represent the
spatiotemporal patterns of multiple hydrological processes (ie streamflow, actual …

Spatiotemporal deep learning rainfall-runoff forecasting combined with remote sensing precipitation products in large scale basins

S Zhu, J Wei, H Zhang, Y Xu, H Qin - Journal of Hydrology, 2023 - Elsevier
Rainfall-runoff modeling is a complex nonlinear spatiotemporal prediction problem.
However, few studies have considered the spatial characteristics of rainfall-runoff …

A study on availability of ground observations and its impacts on bias correction of satellite precipitation products and hydrologic simulation efficiency

L Zhou, T Koike, K Takeuchi, M Rasmy, K Onuma… - Journal of …, 2022 - Elsevier
Precipitation is a crucial input for hydrological models to achieve various purposes such as
water resource management and flood forecasting. However, precipitation stations are …

Flood modeling and baseline study in urban and high population environment: A case study of Majalaya, Indonesia

FIW Rohmat, Z Sa'adi, I Stamataki, AA Kuntoro, M Farid… - Urban Climate, 2022 - Elsevier
The Majalaya area is a vital part of the Bandung Metropolitan Area economy, exemplifying
an urbanized area prone to annual flooding in Indonesia. Even though multiple flood events …

Assessment of GPM-Era Satellite Products'(IMERG and GSMaP) ability to detect precipitation extremes over mountainous country Nepal

B Nepal, D Shrestha, S Sharma, MS Shrestha, D Aryal… - Atmosphere, 2021 - mdpi.com
The reliability of satellite precipitation products is important in climatic and hydro-
meteorological studies, which is especially true in mountainous regions because of the lack …

Review on spatial downscaling of satellite derived precipitation estimates

M Kofidou, S Stathopoulos, A Gemitzi - Environmental Earth Sciences, 2023 - Springer
The present work aims at reviewing and identifying gaps in knowledge and future
perspectives of satellite-derived precipitation downscaling algorithms. Here, various aspects …