Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 24, issue 1
Articles | Volume 24, issue 1
https://doi.org/10.5194/hess-24-227-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-227-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 1
Research article
 | 
16 Jan 2020
Research article |  | 16 Jan 2020

A framework for deriving drought indicators from the Gravity Recovery and Climate Experiment (GRACE)

Helena Gerdener, Olga Engels, and Jürgen Kusche

Data sets

Description of post-processing steps for generating GRACE Level-3 monthly solutions H. Gerdener, K. Schulze, A. Yakhontova, O. Engels, O., and K. Kusche https://www.apmg.uni-bonn.de/daten-und-modelle/grace-monthly-solutions

GRACE Level-3 monthly solutions H. Gerdener, K. Schulze, A. Yakhontova, O. Engels, O., and K. Kusche http://skylab.itg.uni-bonn.de/data_and_models/grace/hydrology/total_water_storage/

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Short summary
GRACE-derived drought indicators enable us to detect hydrological droughts based on changes observed in all storages. By performing synthetic experiments, we find that droughts identified by existing and modified indicators are biased by trends and GRACE-based spatial noise. A modified version of the Zhao et al. (2017) indicator is found to be particularly robust against spatial noise and is therefore applied to real GRACE data over South Africa.
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