Articles | Volume 26, issue 15
https://doi.org/10.5194/hess-26-4169-2022
https://doi.org/10.5194/hess-26-4169-2022
Research article
 | 
10 Aug 2022
Research article |  | 10 Aug 2022

Evaluating downscaling methods of GRACE (Gravity Recovery and Climate Experiment) data: a case study over a fractured crystalline aquifer in southern India

Claire Pascal, Sylvain Ferrant, Adrien Selles, Jean-Christophe Maréchal, Abhilash Paswan, and Olivier Merlin

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Cited articles

Ali, S., Liu, D., Fu, Q., Cheema, M. J. M., Pham, Q. B., Rahaman, M. M., Dang, T. D., and Anh, D. T.: Improving the Resolution of GRACE Data for Spatio-Temporal Groundwater Storage Assessment, Remote Sens., 13, 3513, https://doi.org/10.3390/rs13173513, 2021. a, b, c, d, e, f, g
Alin, A.: Multicollinearity, WIREs Comput. Stat., 2, 370–374, https://doi.org/10.1002/wics.84, 2010. a
Asoka, A., Gleeson, T., Wada, Y., and Mishra, V.: Relative contribution of monsoon precipitation and pumping to changes in groundwater storage in India, Nat. Geosci., 10, 109–117, https://doi.org/10.1038/ngeo2869, 2017. a, b
Breiman, L.: Random Forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001.  a
Breña‐Naranjo, J. A., Kendall, A. D., and Hyndman, D. W.: Improved methods for satellite-based groundwater storage estimates: A decade of monitoring the high plains aquifer from space and ground observations, Geophys. Res. Lett., 41, 6167–6173, https://doi.org/10.1002/2014GL061213, 2014. a
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Short summary
This paper presents a new validation method for the downscaling of GRACE (Gravity Recovery and Climate Experiment) data. It measures the improvement of the downscaled data against the low-resolution data in both temporal and, for the first time, spatial domains. This validation method offers a standardized and comprehensive framework to interpret spatially and temporally the quality of the downscaled products, supporting future efforts in GRACE downscaling methods.