Downscaling and validating GLDAS groundwater storage anomalies by integrating precipitation for recharge and actual evapotranspiration for discharge

Author:

Viviers Cindy,der Laan Michael van,Gaffoor Zaheed,Dippenaar Matthys

Funder

Agricultural Research Council

Water Research Commission

Publisher

Elsevier BV

Reference64 articles.

1. Groundwater recharge estimation using in-situ and GRACE observations in the eastern region of the United Arab Emirates;Alghafli;Sci. Total Environ.,2023

2. Improving the resolution of GRACE data for spatio-temporal groundwater storage assessment;Ali;Remote Sens. 2021,2021

3. Evapotranspiration information reporting: I. Factors governing measurement accuracy;Allen;Agric. Water Manag.,2011

4. Bredenkamp D.B., Van der Westhuizen C., Wiegmanns F.E., Kuhn C.M. 1986. Groundwater supply potential of dolomite compartments west of Krugersdorp. Technical Report GH3440. Directorate Geohydrology. Department of Water Affairs and Forestry, Pretoria.

5. Brownlee L. 2020. Bagging and Random Forest Ensemble Algorithms for Machine Learning. Machine Learning Mastery.https://machinelearningmastery.com/bagging-and-random-forest-ensemble-algorithms-for-machine-learning/. Accessed 2023-010-04.

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