2003
DOI: 10.1007/s00703-002-0596-0
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Long-term investigations on the water budget quantities predicted by the hydro-thermodynamic soil vegetation scheme (HTSVS) ? Part II: Evaluation, sensitivity, and uncertainty

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Cited by 15 publications
(9 citation statements)
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“…Evaluation of HTSVS by data on mean values of wind speed, temperature, and humidity, and on eddy flux densities (the so‐called eddy fluxes) of momentum, sensible heat, and water vapor gathered during the Great Plains Turbulence Project, GREIV I‐1974 (GREnzschicht Instrumentelle Vermessung phase I, i.e., first phase of probing the atmospheric boundary layer) [e.g., Kramm , 1995], SANA (SANierung der Atmosphäre über den neuen Bundesländer, i.e., recovery of the atmosphere over the new federal countries) [e.g., Spindler et al , 1996], CASES97 (Cooperative Atmosphere Surface Exchange Study 1997) [e.g., LeMone et al , 2000] and BALTEX (BALTic sea EXperiment) [e.g., Raschke et al , 1998] showed that HTSVS accurately simulates the diurnal course of state variables and fluxes [ Kramm , 1995; Mölders , 2000; Narapusetty and Mölders , 2005]. By using lysimeter data from a midlatitude site with occasionally frozen ground in winter Mölders et al [2003a, 2003b] found that HTSVS predicts the long‐term (2050 days) accumulated sums of evapotranspiration and recharge with better than 15% accuracy. Soil temperatures were predicted within 1–2 K accuracy, on average [ Mölders et al , 2003b].…”
Section: Resultsmentioning
confidence: 99%
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“…Evaluation of HTSVS by data on mean values of wind speed, temperature, and humidity, and on eddy flux densities (the so‐called eddy fluxes) of momentum, sensible heat, and water vapor gathered during the Great Plains Turbulence Project, GREIV I‐1974 (GREnzschicht Instrumentelle Vermessung phase I, i.e., first phase of probing the atmospheric boundary layer) [e.g., Kramm , 1995], SANA (SANierung der Atmosphäre über den neuen Bundesländer, i.e., recovery of the atmosphere over the new federal countries) [e.g., Spindler et al , 1996], CASES97 (Cooperative Atmosphere Surface Exchange Study 1997) [e.g., LeMone et al , 2000] and BALTEX (BALTic sea EXperiment) [e.g., Raschke et al , 1998] showed that HTSVS accurately simulates the diurnal course of state variables and fluxes [ Kramm , 1995; Mölders , 2000; Narapusetty and Mölders , 2005]. By using lysimeter data from a midlatitude site with occasionally frozen ground in winter Mölders et al [2003a, 2003b] found that HTSVS predicts the long‐term (2050 days) accumulated sums of evapotranspiration and recharge with better than 15% accuracy. Soil temperatures were predicted within 1–2 K accuracy, on average [ Mölders et al , 2003b].…”
Section: Resultsmentioning
confidence: 99%
“…When using routine data often some data needed as model input or forcing are unavailable or not available with sufficient resolution. Consequently, evaluations based on routine data will never yield results as good as those based on data from a good field experiment [e.g., Spindler et al , 1996; Slater et al , 1998; Mölders et al , 2003b].…”
Section: Resultsmentioning
confidence: 99%
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“…The version used here includes a parameterization of freezing soil according to Dai et al (2003). Taking into account freezing soil, snow cover and root uptake were found to be important for climate simulations by Mölders et al (2003) in their continuous simulations over 2050 days with a soil-vegetation model forced by data from a climate station. VEG3D consists of one "big leaf" vegetation layer and eight soil layers.…”
Section: A Soil-vegetation Modelmentioning
confidence: 99%