Characterization of groundwater storage changes in the Amazon River Basin based on downscaling of GRACE/GRACE-FO data with machine learning models-Reference-Cited by-同舟云学术

Characterization of groundwater storage changes in the Amazon River Basin based on downscaling of GRACE/GRACE-FO data with machine learning models

Published:2024-02 Issue: Volume:912 Page:168958
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Satizábal-Alarcón Diego Alejandro^ORCID,Suhogusoff Alexandra^ORCID,Ferrari Luiz Carlos^ORCID

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference83 articles.

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3. Improving the resolution of grace data for spatiotemporal groundwater storage assessment;Ali;Remote Sens.,2021

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5. Sistemas acuíferos transfronterizos en las Américas, evaluación preliminar;Anjos,2007

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4. The analysis on groundwater storage variations from GRACE/GRACE-FO in recent 20 years driven by influencing factors and prediction in Shandong Province, China;Scientific Reports;2024-03-09

5. Bridging the Temporal Gaps in GRACE/GRACE–FO Terrestrial Water Storage Anomalies over the Major Indian River Basins Using Deep Learning;Natural Resources Research;2024-02-22