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| Titel |
Development and validation of PCR-GLOBWB 2.0: a 5 arc min resolution global hydrology and water resources model |
| VerfasserIn |
Edwin H. Sutanudjaja, Ludovicus P. H. van Beek, Yoshihide Wada, Dominik Wisser, Inge E. M. de Graaf, Menno W. Straatsma, Marc F. P. Bierkens |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250094576
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| Publikation (Nr.) |
 EGU/EGU2014-9993.pdf |
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| Zusammenfassung |
| PCR-GLOBWB (PCRaster Global Water Balance) is a grid-based global hydrological
model developed at the Department of Physical Geography, Utrecht University. For
each grid cell, PCR-GLOBWB simulates moisture storage in vertically stacked soil
layers, as well as the water exchange to the atmosphere and underlying groundwater
reservoir. Exchange to the atmosphere comprises of precipitation, evaporation and
transpiration, as well as snow accumulation and melt. All fluxes are all simulated by
considering vegetation phenology and sub-grid variations in elevation, land cover and soil
saturation. The model includes physically-based schemes for runoff-infiltration
partitioning, interflow, groundwater recharge and baseflow, as well as river routing of
discharge.
Here we present and summarize the latest developments of PCR-GLOBWB. The new
version of the model, PCR-GLOBWB 2.0, now runs at a spatial resolution of 5 arc min
(about 10 km at the equator) and supersedes the previous generation of the model (30 arc min
PCR-GLOBWB 1.0, van Beek et al., 2011). PCR-GLOBWB 2.0 consolidates all components
that have been introduced since PCR-GLOWB 1.0 was first published (2011). Examples of
these new components are:
A comprehensive water demand and irrigation module (Wada et al., 2012).
A dynamic attribution and return flow of water demand to surface water and
groundwater resources (de Graaf et al., 2013).
An advanced surface water routing scheme with wetland, lakes and floodplains of
variable extent, thus simulating flooding and flood wave attenuation (Winsemius
et al., 2013).
An online scheme for dynamic withdrawal, allocation and consumptive use of
groundwater and surface water resources, including a progressive introduction
of reservoirs (Wada et al., 2013).
Further development will include the inclusion of a dynamic reservoir
operation/optimization scheme and a MODFLOW lateral groundwater flow
module (Sutanudjaja et al., 2011; Sutanudjaja et al., 2014).
Also, scripts used for deriving the parameterization from global data sources for the original
model have been coupled with the model, resulting in a near-scalable model that facilitates its
application for different domains and at varying resolutions.
Results are very promising. When comparing simulated discharges to those observed by
GRDC stations, the coefficient-of-determination is high. Human impacts, altering the
seasonal and inter-annual variability of terrestrial water storage (TWS) signals, are well
simulated by PCR-GLOBWB 2.0 and evident in the validation of simulated TWS with
GRACE satellite observation (Tapley et al., 2004). Moreover, the simulation results of
PCR-GLOBWB 2.0 compare well to several other remote sensing products, such as
the soil moisture datasets of ERS/MetOp (Wagner et al., 1999) and AMSR-E (de
Jeu and Owe, 2003), as well as the GLEAM evaporation product (Miralles et al.,
2011).
References:
de Graaf et al., Advances in Water Resources (2013), http://dx.doi.org/10.1016/j.advwatres.2013.12.002
de Jeu and Owe, International Journal of Remote Sensing (2003),
http://dx.doi.org/10.1080/0143116031000095934
Miralles et al., Hydrology and Earth System Sciences (2011),
http://dx.doi.org/10.5194/hess-15-967-2011
Sutanudjaja et al., Hydrology and Earth System Sciences (2011),
http://dx.doi.org/10.5194/hess-15-2913-2011
Sutanudjaja et al., Water Resources Research (2014), http://dx.doi.org/10.1002/2013WR013807
Tapley et al., Science (2004), http://dx.doi.org/10.1126/science.1099192
van Beek et al., Water Resources Research (2011), http://dx.doi.org/10.1029/2010WR009791
Wada et al., Water Resources Research (2012), http://dx.doi.org/10.1029/2011WR010562
Wada et al., Earth System Dynamics Discussion (2013), http://dx.doi.org/10.5194/esdd-4-355-2013
Wagner et al., Remote Sensing of Environment (1999), http://dx.doi.org/10.1016/S0034-4257(99)00036-X
Winsemius et al., Hydrology and Earth System Sciences (2013),
http://dx.doi.org/10.5194/hess-17-1871-2013 |
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