The global land water storage data set release 2 (GLWS2.0) derived via assimilating GRACE and GRACE-FO data into a global hydrological model ...

We describe the new global land water storage data set GLWS2.0, which contains total water storage anomalies (TWSA) over the global land except for Greenland and Antarctica with a spatial resolution of 0.5°, covering the time frame 2003 to 2019 without gaps, and including uncertainty quantification....

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Main Authors: Gerdener, Helena, Kusche, Jürgen, Schulze, Kerstin, Döll, Petra, Klos, Anna
Format: Text
Language:unknown
Published: arXiv 2022
Subjects:
Online Access:https://dx.doi.org/10.48550/arxiv.2211.17138
https://arxiv.org/abs/2211.17138
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spelling ftdatacite:10.48550/arxiv.2211.17138 2023-10-01T03:52:03+02:00 The global land water storage data set release 2 (GLWS2.0) derived via assimilating GRACE and GRACE-FO data into a global hydrological model ... Gerdener, Helena Kusche, Jürgen Schulze, Kerstin Döll, Petra Klos, Anna 2022 https://dx.doi.org/10.48550/arxiv.2211.17138 https://arxiv.org/abs/2211.17138 unknown arXiv https://dx.doi.org/10.1007/s00190-023-01763-9 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Geophysics physics.geo-ph FOS Physical sciences ScholarlyArticle Article article-journal Text 2022 ftdatacite https://doi.org/10.48550/arxiv.2211.1713810.1007/s00190-023-01763-9 2023-09-04T13:33:51Z We describe the new global land water storage data set GLWS2.0, which contains total water storage anomalies (TWSA) over the global land except for Greenland and Antarctica with a spatial resolution of 0.5°, covering the time frame 2003 to 2019 without gaps, and including uncertainty quantification. GLWS2.0 was derived by assimilating monthly GRACE/-FO mass change maps into the WaterGAP global hydrology model via the Ensemble Kalman filter, taking data and model uncertainty into account. TWSA in GLWS2.0 is then accumulated over several hydrological storage variables. In this article, we describe the methods and data sets that went into GLWS2.0, how it compares to GRACE/-FO data in terms of representing TWSA trends, seasonal signals, and extremes, as well as its validation via comparing to GNSS-derived vertical loading and its comparison with the NASA Catchment Land Surface Model GRACE Data Assimilation (CLSM-DA). We find that, in the global average over more than 1000 stations, GLWS2.0 fits better than ... : Preprint ... Text Antarc* Antarctica Greenland DataCite Metadata Store (German National Library of Science and Technology) Greenland
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Geophysics physics.geo-ph
FOS Physical sciences
spellingShingle Geophysics physics.geo-ph
FOS Physical sciences
Gerdener, Helena
Kusche, Jürgen
Schulze, Kerstin
Döll, Petra
Klos, Anna
The global land water storage data set release 2 (GLWS2.0) derived via assimilating GRACE and GRACE-FO data into a global hydrological model ...
topic_facet Geophysics physics.geo-ph
FOS Physical sciences
description We describe the new global land water storage data set GLWS2.0, which contains total water storage anomalies (TWSA) over the global land except for Greenland and Antarctica with a spatial resolution of 0.5°, covering the time frame 2003 to 2019 without gaps, and including uncertainty quantification. GLWS2.0 was derived by assimilating monthly GRACE/-FO mass change maps into the WaterGAP global hydrology model via the Ensemble Kalman filter, taking data and model uncertainty into account. TWSA in GLWS2.0 is then accumulated over several hydrological storage variables. In this article, we describe the methods and data sets that went into GLWS2.0, how it compares to GRACE/-FO data in terms of representing TWSA trends, seasonal signals, and extremes, as well as its validation via comparing to GNSS-derived vertical loading and its comparison with the NASA Catchment Land Surface Model GRACE Data Assimilation (CLSM-DA). We find that, in the global average over more than 1000 stations, GLWS2.0 fits better than ... : Preprint ...
format Text
author Gerdener, Helena
Kusche, Jürgen
Schulze, Kerstin
Döll, Petra
Klos, Anna
author_facet Gerdener, Helena
Kusche, Jürgen
Schulze, Kerstin
Döll, Petra
Klos, Anna
author_sort Gerdener, Helena
title The global land water storage data set release 2 (GLWS2.0) derived via assimilating GRACE and GRACE-FO data into a global hydrological model ...
title_short The global land water storage data set release 2 (GLWS2.0) derived via assimilating GRACE and GRACE-FO data into a global hydrological model ...
title_full The global land water storage data set release 2 (GLWS2.0) derived via assimilating GRACE and GRACE-FO data into a global hydrological model ...
title_fullStr The global land water storage data set release 2 (GLWS2.0) derived via assimilating GRACE and GRACE-FO data into a global hydrological model ...
title_full_unstemmed The global land water storage data set release 2 (GLWS2.0) derived via assimilating GRACE and GRACE-FO data into a global hydrological model ...
title_sort global land water storage data set release 2 (glws2.0) derived via assimilating grace and grace-fo data into a global hydrological model ...
publisher arXiv
publishDate 2022
url https://dx.doi.org/10.48550/arxiv.2211.17138
https://arxiv.org/abs/2211.17138
geographic Greenland
geographic_facet Greenland
genre Antarc*
Antarctica
Greenland
genre_facet Antarc*
Antarctica
Greenland
op_relation https://dx.doi.org/10.1007/s00190-023-01763-9
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.48550/arxiv.2211.1713810.1007/s00190-023-01763-9
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