Gerdener, Helena; Kusche, Jürgen: GLWS 4.0: A global product that provides total water storage anomalies, groundwater, soil moisture and surface water with a spatial resolution of 0.5° from 2003 to 2019 [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.993748 (dataset in review)
Abstract:
The monthly global land water storage (GLWS) data set provides the total water storage anomaly (TWSA), root-zone soil moisture, groundwater and surface water (i.e. local lakes, global lakes, local wetlands, global wetlands, reservoirs and rivers per WaterGAP definition) on 0.5° grids.
GLWS is produced by assimilating (Gerdener et al., 2023) gridded GRACE and GRACE-FO-derived TWSA into the WaterGAP global hydrological model. The resulting data set represents thus an optimal synthesis of GRACE data and all data sets that went into the hydrological model. This synthesis seeks to fit GRACE (-FO) TWSA grids within error bars, and at the same time it solves the horizontal and vertical water balances as represented in the hydrological model, again within error bars. To this end, the uncertainty of the hydrological model simulation is represented via an n-member ensemble, where we take into account the uncertainty of forcing (precipitation and radiation) data as well as the uncertainty of some model calibration parameters.
As a result, when no GRACE (-FO) data is available, the GLWS data set represents the mean of an ensemble where each member is dynamically consistent with the model. It is important to understand that this mean depends on the ensemble creation and thus will differ from published WaterGAP standard runs, even if there is no GRACE data within a particular month. It is also important to understand the assimilation-derived GLWS data set does not represent a simple downscaling of the GRACE data, i.e. spatial smoothing of GLWS does not necessarily correspond to GRACE (-FO) TWSA.
The data is provided for 01/2003 to 12/2019. Additionally, the standard deviations are provided (computed from the ensemble).
The main updates of RL004 (and RL003) with respect to the published release 002 (Gerdener et al., 2023a) were a new assimilation filter algorithm and GRACE/-FO settings as described in Gerdener (2024). The main updates of RL004 with respect to the unpublished release 003 were a new setup to derive initial values in a joint spin up and open loop phase.
Keyword(s):
Supplement to:
Gerdener, Helena; Kusche, Jürgen; Scanlon, B R (in prep.): Revising global drought hazard risk with GRACE/-FO data assimilation.
Related to:
Gerdener, Helena; Kusche, Jürgen; Schulze, Kerstin; Döll, Petra; Klos, Anna (2023): The global land water storage data set release 2 (GLWS2.0) derived via assimilating GRACE and GRACE-FO data into a global hydrological model. Journal of Geodesy, 97(7), 73, https://doi.org/10.1007/s00190-023-01763-9
References:
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Cucchi, Marco; Weedon, Graham P; Amici, Alessandro; Bellouin, Nicolas; Lange, Stefan; Müller Schmied, Hannes; Hersbach, Hans; Buontempo, Carlo (2020): WFDE5: bias-adjusted ERA5 reanalysis data for impact studies. Earth System Science Data, 12(3), 2097-2120, https://doi.org/10.5194/essd-12-2097-2020
Deggim, Simon; Eicker, Annette; Schawohl, Lennart; Gerdener, Helena; Schulze, Kerstin; Engels, Olga; Kusche, Jürgen; Saraswati, Anita T; van Dam, Tonie; Ellenbeck, Laura; Dettmering, Denise; Schwatke, Christian; Mayr, Stefan; Klein, Igor; Longuevergne, Laurent (2021): RECOG RL01: correcting GRACE total water storage estimates for global lakes/reservoirs and earthquakes. Earth System Science Data, 13(5), 2227-2244, https://doi.org/10.5194/essd-13-2227-2021
Eicker, Annette; Schumacher, Maike; Kusche, Jürgen; Döll, Petra; Müller Schmied, Hannes (2014): Calibration/Data Assimilation Approach for Integrating GRACE Data into the WaterGAP Global Hydrology Model (WGHM) Using an Ensemble Kalman Filter: First Results. Surveys in Geophysics, 35(6), 1285-1309, https://doi.org/10.1007/s10712-014-9309-8
Gerdener, Helena (2024): A global drought monitoring framework using GRACE/-FO data assimilation [dissertation]. Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn, https://nbn-resolving.org/gui/urn-details?urn=urn:nbn:de:hbz:5-80046
Gerdener, Helena; Schulze, Kerstin; Kusche, Jürgen (2023): GLWS 2.0: A global product that provides total water storage anomalies, groundwater, soil moisture and surface water with a spatial resolution of 0.5° from 2003 to 2019 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.954742
Kusche, Jürgen; Schmidt, R; Petrovic, S; Rietbroek, Roelof (2009): Decorrelated GRACE time-variable gravity solutions by GFZ, and their validation using a hydrological model. Journal of Geodesy, 83(10), 903-913, https://doi.org/10.1007/s00190-009-0308-3
Kvas, Andreas; Behzadpour, Saniya; Ellmer, Matthias; Klinger, Beate; Strasser, Sebastian; Zehentner, Norbert; Mayer-Gürr, Torsten (2019): ITSG‐Grace2018: Overview and Evaluation of a New GRACE‐Only Gravity Field Time Series. Journal of Geophysical Research: Solid Earth, 124(8), 9332-9344, https://doi.org/10.1029/2019JB017415
Lange, Stefan (2019): Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0). Geoscientific Model Development, 12(7), 3055-3070, https://doi.org/10.5194/gmd-12-3055-2019
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Mayer-Gürr, Torsten; Behzadpur, Saniya; Ellmer, Matthias; Kvas, Andreas; Klinger, Beate; Strasser, Sebastian; Zehentner, Norbert (2018): ITSG-Grace2018 - Monthly, Daily and Static Gravity Field Solutions from GRACE [dataset]. GFZ Data Services, https://doi.org/10.5880/ICGEM.2018.003
Müller Schmied, Hannes; Trautmann, Tim; Ackermann, Sebastian; Cáceres, Denise; Flörke, Martina; Gerdener, Helena; Kynast, Ellen; Peiris, Thedini Asali; Schiebener, Leonie; Schumacher, Maike; Döll, Petra (2024): The global water resources and use model WaterGAP v2.2e: description and evaluation of modifications and new features. Geoscientific Model Development, 17(23), 8817-8852, https://doi.org/10.5194/gmd-17-8817-2024
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Documentation:
Funding:
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File content | Content | Gerdener, Helena | |||
| 2 | File content | Content | Gerdener, Helena | |||
| 3 | netCDF file | netCDF | Gerdener, Helena | |||
| 4 | netCDF file (File Size) | netCDF (Size) | Bytes | Gerdener, Helena |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0) (License comes into effect after moratorium ends)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
6 data points