date: 2025-05-12T09:33:35Z
pdf:PDFVersion: 1.4
pdf:docinfo:title: Global 0.05° water storage simulations with the OS LISFLOOD hydrological model for geodetic applications
xmp:CreatorTool: OUP
access_permission:can_print_degraded: true
subject: DOI: 10.1093/gji/ggaf129 Geophysical Journal International, 241, 3, 4-4-2025. Abstract: Model-based information about the global water cycle, in particular the redistribution of terrestrial water masses, is highly relevant for the understanding of Earth system dynamics. In many geodetic applications, hydrological model results play an important role by augmenting observations with a higher spatiotemporal resolution and gapless coverage. Here we demonstrate the feasibility of the high-resolution, open-source hydrological model OS LISFLOOD to simulate terrestrial water storage (TWS) variations with a spatial sampling of up to about 5 km (0.05). Validation against data from satellite gravimetry reveals that the choice of the maximum soil depth has a significant impact on long-term trends in TWS, mainly in the deepest soil layer. We find that refining the soil depth definition effectively reduces spurious TWS trends, while preserving accuracy in modelled river discharge. Using the modified model set-up, we show that in many regions TWS from OS LISFLOOD fits better to observations than TWS from the Land Surface Discharge Model routinely operated at the GFZ and used in geodetic applications worldwide. The advantage of the high spatial resolution of the OS LISFLOOD implementation is shown by comparing vertical surface displacements to GNSS observations in a global network of stations. The data set presented here is the first application of OS LISFLOOD to generate quasi-global (regions south of 60S excluded) daily 0.05 TWS fields for a 23-yr period (2000–2022). 
language: English
dc:format: application/pdf; version=1.4
pdf:docinfo:creator_tool: OUP
access_permission:fill_in_form: true
pdf:encrypted: false
dc:title: Global 0.05° water storage simulations with the OS LISFLOOD hydrological model for geodetic applications
modified: 2025-05-12T09:33:35Z
cp:subject: DOI: 10.1093/gji/ggaf129 Geophysical Journal International, 241, 3, 4-4-2025. Abstract: Model-based information about the global water cycle, in particular the redistribution of terrestrial water masses, is highly relevant for the understanding of Earth system dynamics. In many geodetic applications, hydrological model results play an important role by augmenting observations with a higher spatiotemporal resolution and gapless coverage. Here we demonstrate the feasibility of the high-resolution, open-source hydrological model OS LISFLOOD to simulate terrestrial water storage (TWS) variations with a spatial sampling of up to about 5 km (0.05). Validation against data from satellite gravimetry reveals that the choice of the maximum soil depth has a significant impact on long-term trends in TWS, mainly in the deepest soil layer. We find that refining the soil depth definition effectively reduces spurious TWS trends, while preserving accuracy in modelled river discharge. Using the modified model set-up, we show that in many regions TWS from OS LISFLOOD fits better to observations than TWS from the Land Surface Discharge Model routinely operated at the GFZ and used in geodetic applications worldwide. The advantage of the high spatial resolution of the OS LISFLOOD implementation is shown by comparing vertical surface displacements to GNSS observations in a global network of stations. The data set presented here is the first application of OS LISFLOOD to generate quasi-global (regions south of 60S excluded) daily 0.05 TWS fields for a 23-yr period (2000–2022). 
pdf:docinfo:subject: DOI: 10.1093/gji/ggaf129 Geophysical Journal International, 241, 3, 4-4-2025. Abstract: Model-based information about the global water cycle, in particular the redistribution of terrestrial water masses, is highly relevant for the understanding of Earth system dynamics. In many geodetic applications, hydrological model results play an important role by augmenting observations with a higher spatiotemporal resolution and gapless coverage. Here we demonstrate the feasibility of the high-resolution, open-source hydrological model OS LISFLOOD to simulate terrestrial water storage (TWS) variations with a spatial sampling of up to about 5 km (0.05). Validation against data from satellite gravimetry reveals that the choice of the maximum soil depth has a significant impact on long-term trends in TWS, mainly in the deepest soil layer. We find that refining the soil depth definition effectively reduces spurious TWS trends, while preserving accuracy in modelled river discharge. Using the modified model set-up, we show that in many regions TWS from OS LISFLOOD fits better to observations than TWS from the Land Surface Discharge Model routinely operated at the GFZ and used in geodetic applications worldwide. The advantage of the high spatial resolution of the OS LISFLOOD implementation is shown by comparing vertical surface displacements to GNSS observations in a global network of stations. The data set presented here is the first application of OS LISFLOOD to generate quasi-global (regions south of 60S excluded) daily 0.05 TWS fields for a 23-yr period (2000–2022). 
pdf:docinfo:creator: Jensen L., Dill R., Balidakis K., Grimaldi S., Salamon P., Dobslaw H.
meta:author: Jensen L., Dill R., Balidakis K., Grimaldi S., Salamon P., Dobslaw H.
meta:creation-date: 2025-05-07T13:43:03Z
created: 2025-05-07T13:43:03Z
access_permission:extract_for_accessibility: true
Creation-Date: 2025-05-07T13:43:03Z
pdf:docinfo:custom:doi: 10.1093/gji/ggaf129
Author: Jensen L., Dill R., Balidakis K., Grimaldi S., Salamon P., Dobslaw H.
producer: Acrobat Distiller 25.0 (Windows); modified using iTextSharp 4.1.6 by 1T3XT
pdf:docinfo:producer: Acrobat Distiller 25.0 (Windows); modified using iTextSharp 4.1.6 by 1T3XT
doi: 10.1093/gji/ggaf129
pdf:unmappedUnicodeCharsPerPage: 1
dc:description: DOI: 10.1093/gji/ggaf129 Geophysical Journal International, 241, 3, 4-4-2025. Abstract: Model-based information about the global water cycle, in particular the redistribution of terrestrial water masses, is highly relevant for the understanding of Earth system dynamics. In many geodetic applications, hydrological model results play an important role by augmenting observations with a higher spatiotemporal resolution and gapless coverage. Here we demonstrate the feasibility of the high-resolution, open-source hydrological model OS LISFLOOD to simulate terrestrial water storage (TWS) variations with a spatial sampling of up to about 5 km (0.05). Validation against data from satellite gravimetry reveals that the choice of the maximum soil depth has a significant impact on long-term trends in TWS, mainly in the deepest soil layer. We find that refining the soil depth definition effectively reduces spurious TWS trends, while preserving accuracy in modelled river discharge. Using the modified model set-up, we show that in many regions TWS from OS LISFLOOD fits better to observations than TWS from the Land Surface Discharge Model routinely operated at the GFZ and used in geodetic applications worldwide. The advantage of the high spatial resolution of the OS LISFLOOD implementation is shown by comparing vertical surface displacements to GNSS observations in a global network of stations. The data set presented here is the first application of OS LISFLOOD to generate quasi-global (regions south of 60S excluded) daily 0.05 TWS fields for a 23-yr period (2000–2022). 
Keywords: 
access_permission:modify_annotations: true
dc:creator: Jensen L., Dill R., Balidakis K., Grimaldi S., Salamon P., Dobslaw H.
description: DOI: 10.1093/gji/ggaf129 Geophysical Journal International, 241, 3, 4-4-2025. Abstract: Model-based information about the global water cycle, in particular the redistribution of terrestrial water masses, is highly relevant for the understanding of Earth system dynamics. In many geodetic applications, hydrological model results play an important role by augmenting observations with a higher spatiotemporal resolution and gapless coverage. Here we demonstrate the feasibility of the high-resolution, open-source hydrological model OS LISFLOOD to simulate terrestrial water storage (TWS) variations with a spatial sampling of up to about 5 km (0.05). Validation against data from satellite gravimetry reveals that the choice of the maximum soil depth has a significant impact on long-term trends in TWS, mainly in the deepest soil layer. We find that refining the soil depth definition effectively reduces spurious TWS trends, while preserving accuracy in modelled river discharge. Using the modified model set-up, we show that in many regions TWS from OS LISFLOOD fits better to observations than TWS from the Land Surface Discharge Model routinely operated at the GFZ and used in geodetic applications worldwide. The advantage of the high spatial resolution of the OS LISFLOOD implementation is shown by comparing vertical surface displacements to GNSS observations in a global network of stations. The data set presented here is the first application of OS LISFLOOD to generate quasi-global (regions south of 60S excluded) daily 0.05 TWS fields for a 23-yr period (2000–2022). 
dcterms:created: 2025-05-07T13:43:03Z
Last-Modified: 2025-05-12T09:33:35Z
dcterms:modified: 2025-05-12T09:33:35Z
title: Global 0.05° water storage simulations with the OS LISFLOOD hydrological model for geodetic applications
xmpMM:DocumentID: uuid:281d01fa-49c7-3fb7-926c-863f49b08f04
Last-Save-Date: 2025-05-12T09:33:35Z
pdf:docinfo:keywords: 
pdf:docinfo:modified: 2025-05-12T09:33:35Z
meta:save-date: 2025-05-12T09:33:35Z
Content-Type: application/pdf
X-Parsed-By: org.apache.tika.parser.DefaultParser
creator: Jensen L., Dill R., Balidakis K., Grimaldi S., Salamon P., Dobslaw H.
dc:language: English
dc:subject: 
access_permission:assemble_document: true
xmpTPg:NPages: 13
pdf:charsPerPage: 5346
access_permission:extract_content: true
access_permission:can_print: true
meta:keyword: 
access_permission:can_modify: true
pdf:docinfo:created: 2025-05-07T13:43:03Z