PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model
We present PCR-GLOBWB 2, a global hydrology and water resources model. Compared to previous versions of PCR-GLOBWB, this version fully integrates water use. Sector-specific water demand, groundwater and surface water withdrawal, water consumption, and return flows are dynamically calculated at e...
| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2018-06-01
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| Series: | Geoscientific Model Development |
| Online Access: | https://www.geosci-model-dev.net/11/2429/2018/gmd-11-2429-2018.pdf |
| _version_ | 1811233644828688384 |
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| author | E. H. Sutanudjaja R. van Beek N. Wanders Y. Wada Y. Wada J. H. C. Bosmans N. Drost R. J. van der Ent I. E. M. de Graaf J. M. Hoch J. M. Hoch K. de Jong D. Karssenberg P. López López P. López López S. Peßenteiner O. Schmitz M. W. Straatsma E. Vannametee D. Wisser D. Wisser M. F. P. Bierkens M. F. P. Bierkens |
| author_facet | E. H. Sutanudjaja R. van Beek N. Wanders Y. Wada Y. Wada J. H. C. Bosmans N. Drost R. J. van der Ent I. E. M. de Graaf J. M. Hoch J. M. Hoch K. de Jong D. Karssenberg P. López López P. López López S. Peßenteiner O. Schmitz M. W. Straatsma E. Vannametee D. Wisser D. Wisser M. F. P. Bierkens M. F. P. Bierkens |
| author_sort | E. H. Sutanudjaja |
| collection | DOAJ |
| description | We present PCR-GLOBWB 2, a global
hydrology and water resources model. Compared to previous versions of
PCR-GLOBWB, this version fully integrates water use. Sector-specific water
demand, groundwater and surface water withdrawal, water consumption, and
return flows are dynamically calculated at every time step and interact
directly with the simulated hydrology. PCR-GLOBWB 2 has been fully rewritten
in Python and PCRaster Python and has a modular structure, allowing easier
replacement, maintenance, and development of model components. PCR-GLOBWB 2
has been implemented at 5 arcmin resolution, but a version parameterized at
30 arcmin resolution is also available. Both versions are available as
open-source codes on <a href="https://github.com/UU-Hydro/PCR-GLOBWB_model" target="_blank">https://github.com/UU-Hydro/PCR-GLOBWB_model</a>
(Sutanudjaja et al., 2017a). PCR-GLOBWB 2 has its own routines for
groundwater dynamics and surface water routing. These relatively simple
routines can alternatively be replaced by dynamically coupling PCR-GLOBWB 2
to a global two-layer groundwater model and 1-D–2-D hydrodynamic models.
Here, we describe the main components of the model, compare results of the 30
and 5 arcmin versions, and evaluate their model performance using Global
Runoff Data Centre discharge data. Results show that model performance of the
5 arcmin version is notably better than that of the 30 arcmin version.
Furthermore, we compare simulated time series of total water storage (TWS) of
the 5 arcmin model with those observed with GRACE, showing similar negative
trends in areas of prevalent groundwater depletion. Also, we find that
simulated total water withdrawal matches reasonably well with reported water
withdrawal from AQUASTAT, while water withdrawal by source and sector provide
mixed results. |
| first_indexed | 2024-04-12T11:23:08Z |
| format | Article |
| id | doaj.art-459be9662f8a4bd5874ce6542b5cdcc2 |
| institution | Directory Open Access Journal |
| issn | 1991-959X 1991-9603 |
| language | English |
| last_indexed | 2024-04-12T11:23:08Z |
| publishDate | 2018-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj.art-459be9662f8a4bd5874ce6542b5cdcc22022-12-22T03:35:17ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032018-06-01112429245310.5194/gmd-11-2429-2018PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources modelE. H. Sutanudjaja0R. van Beek1N. Wanders2Y. Wada3Y. Wada4J. H. C. Bosmans5N. Drost6R. J. van der Ent7I. E. M. de Graaf8J. M. Hoch9J. M. Hoch10K. de Jong11D. Karssenberg12P. López López13P. López López14S. Peßenteiner15O. Schmitz16M. W. Straatsma17E. Vannametee18D. Wisser19D. Wisser20M. F. P. Bierkens21M. F. P. Bierkens22Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the NetherlandsDepartment of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the NetherlandsDepartment of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the NetherlandsDepartment of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the NetherlandsInternational Institute for Applied Systems Analysis, Laxenburg, AustriaDepartment of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the NetherlandsNetherlands eScience Center, Amsterdam, the NetherlandsDepartment of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the NetherlandsChair of Environmental Hydrological Systems, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, GermanyDepartment of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the NetherlandsUnit Inland Water Systems, Deltares, Delft, the NetherlandsDepartment of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the NetherlandsDepartment of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the NetherlandsDepartment of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the NetherlandsUnit Inland Water Systems, Deltares, Delft, the NetherlandsDepartment of Geography and Regional Science, University of Graz, Graz, AustriaDepartment of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the NetherlandsDepartment of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the NetherlandsDepartment of Geography, Chulalongkorn University, Bangkok, ThailandFood and Agriculture Organization of the United Nations, Rome, ItalyInstitute for the Study of Earth, Oceans, and Space, University of New Hampshire, New Hampshire, USADepartment of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the NetherlandsUnit Soil and Groundwater Systems, Deltares, Utrecht, the NetherlandsWe present PCR-GLOBWB 2, a global hydrology and water resources model. Compared to previous versions of PCR-GLOBWB, this version fully integrates water use. Sector-specific water demand, groundwater and surface water withdrawal, water consumption, and return flows are dynamically calculated at every time step and interact directly with the simulated hydrology. PCR-GLOBWB 2 has been fully rewritten in Python and PCRaster Python and has a modular structure, allowing easier replacement, maintenance, and development of model components. PCR-GLOBWB 2 has been implemented at 5 arcmin resolution, but a version parameterized at 30 arcmin resolution is also available. Both versions are available as open-source codes on <a href="https://github.com/UU-Hydro/PCR-GLOBWB_model" target="_blank">https://github.com/UU-Hydro/PCR-GLOBWB_model</a> (Sutanudjaja et al., 2017a). PCR-GLOBWB 2 has its own routines for groundwater dynamics and surface water routing. These relatively simple routines can alternatively be replaced by dynamically coupling PCR-GLOBWB 2 to a global two-layer groundwater model and 1-D–2-D hydrodynamic models. Here, we describe the main components of the model, compare results of the 30 and 5 arcmin versions, and evaluate their model performance using Global Runoff Data Centre discharge data. Results show that model performance of the 5 arcmin version is notably better than that of the 30 arcmin version. Furthermore, we compare simulated time series of total water storage (TWS) of the 5 arcmin model with those observed with GRACE, showing similar negative trends in areas of prevalent groundwater depletion. Also, we find that simulated total water withdrawal matches reasonably well with reported water withdrawal from AQUASTAT, while water withdrawal by source and sector provide mixed results.https://www.geosci-model-dev.net/11/2429/2018/gmd-11-2429-2018.pdf |
| spellingShingle | E. H. Sutanudjaja R. van Beek N. Wanders Y. Wada Y. Wada J. H. C. Bosmans N. Drost R. J. van der Ent I. E. M. de Graaf J. M. Hoch J. M. Hoch K. de Jong D. Karssenberg P. López López P. López López S. Peßenteiner O. Schmitz M. W. Straatsma E. Vannametee D. Wisser D. Wisser M. F. P. Bierkens M. F. P. Bierkens PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model Geoscientific Model Development |
| title | PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model |
| title_full | PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model |
| title_fullStr | PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model |
| title_full_unstemmed | PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model |
| title_short | PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model |
| title_sort | pcr globwb 2 a 5 arcmin global hydrological and water resources model |
| url | https://www.geosci-model-dev.net/11/2429/2018/gmd-11-2429-2018.pdf |
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