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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Jan 2020
Research article |
| 16 Jan 2020
| 16 Jan 2020
A framework for deriving drought indicators from the Gravity Recovery and Climate Experiment (GRACE)
Helena Gerdener
CORRESPONDING AUTHOR
Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany
Olga Engels
Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany
Jürgen Kusche
Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany
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Cited
24 citations as recorded by crossref.
- Estimation of hydrological drought recovery based on precipitation and Gravity Recovery and Climate Experiment (GRACE) water storage deficit A. Singh et al. 10.5194/hess-25-511-2021
- Review of In-Situ and Remote Sensing-Based Indices and Their Applicability for Integrated Drought Monitoring in South Africa M. Mukhawana et al. 10.3390/w15020240
- Reconstructing a new terrestrial water storage deficit index to detect and quantify drought in the Yangtze River Basin N. Chao et al. 10.1016/j.jhydrol.2023.129972
- RECOG RL01: correcting GRACE total water storage estimates for global lakes/reservoirs and earthquakes S. Deggim et al. 10.5194/essd-13-2227-2021
- Water cycle science enabled by the GRACE and GRACE-FO satellite missions M. Rodell & J. Reager 10.1038/s44221-022-00005-0
- Developing a Long Short-Term Memory (LSTM)-Based Model for Reconstructing Terrestrial Water Storage Variations from 1982 to 2016 in the Tarim River Basin, Northwest China F. Wang et al. 10.3390/rs13050889
- Characterization of hydrological droughts in Brazil using a novel multiscale index from GNSS M. Tang et al. 10.1016/j.jhydrol.2022.128934
- Changing intensity of hydroclimatic extreme events revealed by GRACE and GRACE-FO M. Rodell & B. Li 10.1038/s44221-023-00040-5
- An enhanced water storage deficit index (EWSDI) for drought detection using GRACE gravity estimates B. Khorrami & O. Gunduz 10.1016/j.jhydrol.2021.126812
- Quantification and Assessment of Global Terrestrial Water Storage Deficit Caused by Drought Using GRACE Satellite Data J. Lu et al. 10.1109/JSTARS.2022.3180509
- Forecasting terrestrial water storage for drought management in Ethiopia T. Kenea et al. 10.1080/02626667.2020.1790564
- Quantifying the Central European Droughts in 2018 and 2019 With GRACE Follow‐On E. Boergens et al. 10.1029/2020GL087285
- Drought assessment of China in 2002–2017 based on a comprehensive drought index Y. Xu et al. 10.1016/j.agrformet.2022.108922
- Improving the resolution of GRACE-based water storage estimates based on machine learning downscaling schemes W. Yin et al. 10.1016/j.jhydrol.2022.128447
- An optimized hydrological drought index integrating GNSS displacement and satellite gravimetry data C. Yao et al. 10.1016/j.jhydrol.2022.128647
- Hydrometeorological Extreme Events in West Africa: Droughts P. Dibi-Anoh et al. 10.1007/s10712-022-09748-7
- Reconstructing GRACE-type time-variable gravity from the Swarm satellites H. Richter et al. 10.1038/s41598-020-80752-w
- Insights into hydrological drought characteristics using GNSS-inferred large-scale terrestrial water storage deficits Z. Jiang et al. 10.1016/j.epsl.2021.117294
- GRACE and land surface models reveal severe drought in eastern China in 2019 X. Yan et al. 10.1016/j.jhydrol.2021.126640
- GRACE Combined with WSD to Assess the Change in Drought Severity in Arid Asia J. Liu et al. 10.3390/rs14143454
- Challenges in modeling and predicting floods and droughts: A review M. Brunner et al. 10.1002/wat2.1520
- The global land water storage data set release 2 (GLWS2.0) derived via assimilating GRACE and GRACE-FO data into a global hydrological model H. Gerdener et al. 10.1007/s00190-023-01763-9
- Hydrological drought characterization based on GNSS imaging of vertical crustal deformation across the contiguous United States Z. Jiang et al. 10.1016/j.scitotenv.2022.153663
- A novel framework for regional pattern recognition of drought intensities R. Niaz et al. 10.1007/s12517-021-08097-w
23 citations as recorded by crossref.
- Estimation of hydrological drought recovery based on precipitation and Gravity Recovery and Climate Experiment (GRACE) water storage deficit A. Singh et al. 10.5194/hess-25-511-2021
- Review of In-Situ and Remote Sensing-Based Indices and Their Applicability for Integrated Drought Monitoring in South Africa M. Mukhawana et al. 10.3390/w15020240
- Reconstructing a new terrestrial water storage deficit index to detect and quantify drought in the Yangtze River Basin N. Chao et al. 10.1016/j.jhydrol.2023.129972
- RECOG RL01: correcting GRACE total water storage estimates for global lakes/reservoirs and earthquakes S. Deggim et al. 10.5194/essd-13-2227-2021
- Water cycle science enabled by the GRACE and GRACE-FO satellite missions M. Rodell & J. Reager 10.1038/s44221-022-00005-0
- Developing a Long Short-Term Memory (LSTM)-Based Model for Reconstructing Terrestrial Water Storage Variations from 1982 to 2016 in the Tarim River Basin, Northwest China F. Wang et al. 10.3390/rs13050889
- Characterization of hydrological droughts in Brazil using a novel multiscale index from GNSS M. Tang et al. 10.1016/j.jhydrol.2022.128934
- Changing intensity of hydroclimatic extreme events revealed by GRACE and GRACE-FO M. Rodell & B. Li 10.1038/s44221-023-00040-5
- An enhanced water storage deficit index (EWSDI) for drought detection using GRACE gravity estimates B. Khorrami & O. Gunduz 10.1016/j.jhydrol.2021.126812
- Quantification and Assessment of Global Terrestrial Water Storage Deficit Caused by Drought Using GRACE Satellite Data J. Lu et al. 10.1109/JSTARS.2022.3180509
- Forecasting terrestrial water storage for drought management in Ethiopia T. Kenea et al. 10.1080/02626667.2020.1790564
- Quantifying the Central European Droughts in 2018 and 2019 With GRACE Follow‐On E. Boergens et al. 10.1029/2020GL087285
- Drought assessment of China in 2002–2017 based on a comprehensive drought index Y. Xu et al. 10.1016/j.agrformet.2022.108922
- Improving the resolution of GRACE-based water storage estimates based on machine learning downscaling schemes W. Yin et al. 10.1016/j.jhydrol.2022.128447
- An optimized hydrological drought index integrating GNSS displacement and satellite gravimetry data C. Yao et al. 10.1016/j.jhydrol.2022.128647
- Hydrometeorological Extreme Events in West Africa: Droughts P. Dibi-Anoh et al. 10.1007/s10712-022-09748-7
- Reconstructing GRACE-type time-variable gravity from the Swarm satellites H. Richter et al. 10.1038/s41598-020-80752-w
- Insights into hydrological drought characteristics using GNSS-inferred large-scale terrestrial water storage deficits Z. Jiang et al. 10.1016/j.epsl.2021.117294
- GRACE and land surface models reveal severe drought in eastern China in 2019 X. Yan et al. 10.1016/j.jhydrol.2021.126640
- GRACE Combined with WSD to Assess the Change in Drought Severity in Arid Asia J. Liu et al. 10.3390/rs14143454
- Challenges in modeling and predicting floods and droughts: A review M. Brunner et al. 10.1002/wat2.1520
- The global land water storage data set release 2 (GLWS2.0) derived via assimilating GRACE and GRACE-FO data into a global hydrological model H. Gerdener et al. 10.1007/s00190-023-01763-9
- Hydrological drought characterization based on GNSS imaging of vertical crustal deformation across the contiguous United States Z. Jiang et al. 10.1016/j.scitotenv.2022.153663
1 citations as recorded by crossref.
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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.
GRACE-derived drought indicators enable us to detect hydrological droughts based on changes...
