The role of space-based observations for groundwater resource monitoring over Africa

A Springer, T Lopez, M Owor, F Frappart… - Surveys in Geophysics, 2023 - Springer
Africa is particularly vulnerable to climate change impacts, which threatens food security,
ecosystem protection and restoration initiatives, and fresh water resources availability and …

[PDF][PDF] Deep learning based modeling of groundwater storage change

MA Haq, AK Jilani, P Prabu - CMC-Computers, Materials …, 2021 - cdn.techscience.cn
The understanding of water resource changes and a proper projection of their future
availability are necessary elements of sustainable water planning. Monitoring GWS change …

Reconstruction of GRACE data on changes in total water storage over the global land surface and 60 basins

Z Sun, D Long, W Yang, X Li… - Water Resources Research, 2020 - Wiley Online Library
Abstract Launched in May 2018, the Gravity Recovery and Climate Experiment Follow‐On
mission (GRACE‐FO)—the successor of the erstwhile GRACE mission—monitors changes …

Long‐term (1979‐present) total water storage anomalies over the global land derived by reconstructing GRACE data

F Li, J Kusche, N Chao, Z Wang… - Geophysical Research …, 2021 - Wiley Online Library
Abstract The Gravity Recovery and Climate Experiment (GRACE) mission has monitored
global total water storage anomalies (TWSA) with an unprecedented accuracy since 2002 …

Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap

S Mo, Y Zhong, E Forootan, N Mehrnegar, X Yin… - Journal of …, 2022 - Elsevier
The monthly terrestrial water storage anomaly (TWSA) observations during the gap period
between the Gravity Recovery and Climate Experiment (GRACE) satellite and its Follow-On …

Reconstruction of GRACE total water storage through automated machine learning

AY Sun, BR Scanlon, H Save… - Water Resources …, 2021 - Wiley Online Library
Abstract The Gravity Recovery and Climate Experiment (GRACE) satellite mission and its
follow‐on, GRACE‐FO, have provided unprecedented opportunities to quantify the impact of …

Forecasting spatio-temporal dynamics on the land surface using earth observation data—A review

J Koehler, C Kuenzer - Remote Sensing, 2020 - mdpi.com
Reliable forecasts on the impacts of global change on the land surface are vital to inform the
actions of policy and decision makers to mitigate consequences and secure livelihoods …

Spatiotemporal changes of terrestrial water storage and possible causes in the closed Qaidam Basin, China using GRACE and GRACE Follow-On data

L Wei, S Jiang, L Ren, H Tan, W Ta, Y Liu, X Yang… - Journal of …, 2021 - Elsevier
Terrestrial water storage (TWS) is a crucial indicator of regional water balance and water
resources changes. Due to limited hydrological observations, we combined the Gravity …

[HTML][HTML] GTWS-MLrec: global terrestrial water storage reconstruction by machine learning from 1940 to present

J Yin, LJ Slater, A Khouakhi, L Yu, P Liu… - Earth System …, 2023 - essd.copernicus.org
Terrestrial water storage (TWS) includes all forms of water stored on and below the land
surface, and is a key determinant of global water and energy budgets. However, TWS data …

An assimilated deep learning approach to identify the influence of global climate on hydrological fluxes

I Kalu, CE Ndehedehe, O Okwuashi, AE Eyoh… - Journal of …, 2022 - Elsevier
The rapid acceleration of the global water cycle caused by changes in global climate trigger
complex processes that make conventional machine learning techniques limited in …