Evaluating the performance of multiple satellite-based precipitation products in the Congo River Basin using the SWAT model-Reference-Cited by-同舟云学术

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Evaluating the performance of multiple satellite-based precipitation products in the Congo River Basin using the SWAT model

Published:2022-08 Issue: Volume:42 Page:101168
ISSN:2214-5818
Container-title:Journal of Hydrology: Regional Studies
language:en
Short-container-title:Journal of Hydrology: Regional Studies

Author:

Dos Santos V.,Oliveira R.A. Jucá,Datok P.,Sauvage S.,Paris A.,Gosset M.,Sánchez-Pérez J.M.

Publisher

Elsevier BV

Subject

Earth and Planetary Sciences (miscellaneous),Water Science and Technology

Reference85 articles.

1. continental-scale hydrology and water quality model for Europe: calibration and uncertainty of a high-resolution large-scale SWAT model;Abbaspour;J. Hydrol.,2015

2. A review of SWAT model application in Africa;Akoko;Water,2021

3. An improved SWAT vegetation growth module and its evaluation for four tropical ecosystems;Alemayehu;Hydrol. Earth Syst. Sci.,2017

4. Simulated hydrologic response to projected changes in precipitation and temperature in the Congo River basin;Aloysius;Hydrol. Earth Syst. Sci.,2017

5. Opportunities for hydrologic research in the Congo Basin;Alsdorf;Rev. Geophys.,2016

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1. Evaluating hydrological responses of satellite precipitation products over an Indian tropical catchment through a distributed physical model;Hydrological Processes;2024-09

2. Assessments of multiple precipitation products and application in hydrodynamic simulations: A case of casualty‐inducing mountain torrents in Sichuan, Southwest China;Journal of Flood Risk Management;2024-07-16

3. Integrating satellite and reanalysis precipitation products for SWAT hydrological simulation in the Jing River Basin, China;Environmental Science and Pollution Research;2024-02-20

4. Improving rainfall-runoff modeling in the Mekong river basin using bias-corrected satellite precipitation products by convolutional neural networks;Journal of Hydrology;2024-02

5. Improved modeling of Congo's hydrology for floods and droughts analysis and ENSO teleconnections;Journal of Hydrology: Regional Studies;2023-12

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