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 |
| Summary: | 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. |
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| ISSN: | 1991-959X 1991-9603 |