Dynamical process upscaling for deriving catchment scale state variables and constitutive relations for meso-scale process models
In this study we propose an uspcaling approach to derive time series of (a) REW scale state variables, and (b) effective REW scale soil hydraulic functions to test and parameterise models based on the REW approach. To this end we employed a physically based hydrological model, that represents the ty...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2006-01-01
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| Series: | Hydrology and Earth System Sciences |
| Online Access: | http://www.hydrol-earth-syst-sci.net/10/981/2006/hess-10-981-2006.pdf |
| _version_ | 1811277253183537152 |
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| author | E. Zehe H. Lee M. Sivapalan |
| author_facet | E. Zehe H. Lee M. Sivapalan |
| author_sort | E. Zehe |
| collection | DOAJ |
| description | In this study we propose an uspcaling approach to derive time series of (a) REW scale state variables, and (b) effective REW scale soil hydraulic functions to test and parameterise models based on the REW approach. To this end we employed a physically based hydrological model, that represents the typical patterns and structures in the study catchment, and has previously been shown to reproduce observed runoff response and state dynamics well. This landscape- and process-compatible model is used to simulate numerical drainage and wetting experiments. The effective soil water retention curve and soil hydraulic conductivity curve are derived using the spatially averaged saturation and capillary pressure as well as averaged fluxes. When driven with observed boundary conditions during a one year simulation the model is used to estimate how the spatial pattern of soil moisture evolved during this period in the catchment. The time series of the volume integrated soil moisture is deemed as best estimate for the average catchment scale soil moisture. The approach is applied to the extensively monitored Weiherbach catchment in Germany. A sensitivity analysis showed that catchment scale model structures different from the landscape- and process compatible one yielded different times series of average catchment scale soil moisture and where not able to reproduce the observed rainfall runoff response. Hence, subscale typical heterogeneity leaves a clear fingerprint in the time series of average catchment scale saturation. In case of the Weiherbach catchment local scale heterogeneity of ks could be neglected and a simple representation of the typical hillslope scale patterns of soil types and macroporosity was sufficient for obtaining effective REW scale soil hydraulic functions. Both the effective soil hydraulic functions and time series of catchment scale saturation turned out to be useful to parameterise and test the CREW model, which is based on the REW approach and was applied to the Weiherbach catchment in a companion study Lee et al. (2006, this issue). |
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| id | doaj.art-5aacfd6bfce44e7685bf90ab4f021adb |
| institution | Directory Open Access Journal |
| issn | 1027-5606 1607-7938 |
| language | English |
| last_indexed | 2024-04-13T00:12:19Z |
| publishDate | 2006-01-01 |
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| series | Hydrology and Earth System Sciences |
| spelling | doaj.art-5aacfd6bfce44e7685bf90ab4f021adb2022-12-22T03:11:02ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382006-01-01106981996Dynamical process upscaling for deriving catchment scale state variables and constitutive relations for meso-scale process modelsE. ZeheH. LeeM. SivapalanIn this study we propose an uspcaling approach to derive time series of (a) REW scale state variables, and (b) effective REW scale soil hydraulic functions to test and parameterise models based on the REW approach. To this end we employed a physically based hydrological model, that represents the typical patterns and structures in the study catchment, and has previously been shown to reproduce observed runoff response and state dynamics well. This landscape- and process-compatible model is used to simulate numerical drainage and wetting experiments. The effective soil water retention curve and soil hydraulic conductivity curve are derived using the spatially averaged saturation and capillary pressure as well as averaged fluxes. When driven with observed boundary conditions during a one year simulation the model is used to estimate how the spatial pattern of soil moisture evolved during this period in the catchment. The time series of the volume integrated soil moisture is deemed as best estimate for the average catchment scale soil moisture. The approach is applied to the extensively monitored Weiherbach catchment in Germany. A sensitivity analysis showed that catchment scale model structures different from the landscape- and process compatible one yielded different times series of average catchment scale soil moisture and where not able to reproduce the observed rainfall runoff response. Hence, subscale typical heterogeneity leaves a clear fingerprint in the time series of average catchment scale saturation. In case of the Weiherbach catchment local scale heterogeneity of ks could be neglected and a simple representation of the typical hillslope scale patterns of soil types and macroporosity was sufficient for obtaining effective REW scale soil hydraulic functions. Both the effective soil hydraulic functions and time series of catchment scale saturation turned out to be useful to parameterise and test the CREW model, which is based on the REW approach and was applied to the Weiherbach catchment in a companion study Lee et al. (2006, this issue).http://www.hydrol-earth-syst-sci.net/10/981/2006/hess-10-981-2006.pdf |
| spellingShingle | E. Zehe H. Lee M. Sivapalan Dynamical process upscaling for deriving catchment scale state variables and constitutive relations for meso-scale process models Hydrology and Earth System Sciences |
| title | Dynamical process upscaling for deriving catchment scale state variables and constitutive relations for meso-scale process models |
| title_full | Dynamical process upscaling for deriving catchment scale state variables and constitutive relations for meso-scale process models |
| title_fullStr | Dynamical process upscaling for deriving catchment scale state variables and constitutive relations for meso-scale process models |
| title_full_unstemmed | Dynamical process upscaling for deriving catchment scale state variables and constitutive relations for meso-scale process models |
| title_short | Dynamical process upscaling for deriving catchment scale state variables and constitutive relations for meso-scale process models |
| title_sort | dynamical process upscaling for deriving catchment scale state variables and constitutive relations for meso scale process models |
| url | http://www.hydrol-earth-syst-sci.net/10/981/2006/hess-10-981-2006.pdf |
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