Soil moisture and root water uptake in climate models. Research Programme Climate Changes Spatial Planning

J.C. van Dam, K. Metselaar, E.L. Wipfler, R.A. Feddes, E. van Meijgaard, B. van den Hurk

Research output: Book/ReportReportAcademic

Abstract

More accurate simulation of the energy and water balance near the Earth surface is important to improve the performance of regional climate models. We used a detailed ecohydrological model to rank the importance of vegetation and soil factors with respect to evapotranspiration modeling. The results show that type of lower boundary condition, root zone depth, and temporal course of leaf area index have the strongest effect on yearly and monthly evapotranspiration. Soil texture data from the WISE database in combination with HYPRESS pedotransferfunctions can be used to derive more accurate Mualem-van Genuchten type soil moisture retention and hydraulic conductivity functions. We added recent literature data on root densities of agricultural crops to the root data base of Schenk and Jackson. We tested the HTESSEL land routine of the regional climate model RACMO for Western Hungary, which shows systematically too low evapotranspiration and too high air temperatures in many numerical regional climate studies. Satellite remote sensing data, in combination with the SEBAL algorithm, were used to derive evapotranspiration fluxes at a 1x1 km grid for the year 2005. Compared to satellite data, HTESSEL somewhat underestimated evapotranspiration fluxes. This underestimation occurred mainly in regions with irrigation and shallow groundwater, factors which are not included in HTESSEL. Tests with other reduction functions for root water uptake, more realistic soil depth, and a concept for groundwater influence did not yield more accurate spatially distributed evapotranspiration fluxes for Western Hungary.
Original languageEnglish
PublisherWUR + Royal Netherlands Meteorological Institute
Number of pages62
ISBN (Print)9789088150128
Publication statusPublished - 2011

Fingerprint

spatial planning
water uptake
research program
evapotranspiration
climate modeling
soil moisture
climate change
regional climate
groundwater
soil texture
soil depth
leaf area index
energy balance
rhizosphere
water budget
hydraulic conductivity
satellite data
boundary condition
air temperature
irrigation

Keywords

  • soil water
  • soil plant relationships
  • water balance
  • evaporation
  • ecohydrology
  • climatic change
  • models

Cite this

van Dam, J. C., Metselaar, K., Wipfler, E. L., Feddes, R. A., van Meijgaard, E., & van den Hurk, B. (2011). Soil moisture and root water uptake in climate models. Research Programme Climate Changes Spatial Planning. WUR + Royal Netherlands Meteorological Institute.
van Dam, J.C. ; Metselaar, K. ; Wipfler, E.L. ; Feddes, R.A. ; van Meijgaard, E. ; van den Hurk, B. / Soil moisture and root water uptake in climate models. Research Programme Climate Changes Spatial Planning. WUR + Royal Netherlands Meteorological Institute, 2011. 62 p.
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abstract = "More accurate simulation of the energy and water balance near the Earth surface is important to improve the performance of regional climate models. We used a detailed ecohydrological model to rank the importance of vegetation and soil factors with respect to evapotranspiration modeling. The results show that type of lower boundary condition, root zone depth, and temporal course of leaf area index have the strongest effect on yearly and monthly evapotranspiration. Soil texture data from the WISE database in combination with HYPRESS pedotransferfunctions can be used to derive more accurate Mualem-van Genuchten type soil moisture retention and hydraulic conductivity functions. We added recent literature data on root densities of agricultural crops to the root data base of Schenk and Jackson. We tested the HTESSEL land routine of the regional climate model RACMO for Western Hungary, which shows systematically too low evapotranspiration and too high air temperatures in many numerical regional climate studies. Satellite remote sensing data, in combination with the SEBAL algorithm, were used to derive evapotranspiration fluxes at a 1x1 km grid for the year 2005. Compared to satellite data, HTESSEL somewhat underestimated evapotranspiration fluxes. This underestimation occurred mainly in regions with irrigation and shallow groundwater, factors which are not included in HTESSEL. Tests with other reduction functions for root water uptake, more realistic soil depth, and a concept for groundwater influence did not yield more accurate spatially distributed evapotranspiration fluxes for Western Hungary.",
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van Dam, JC, Metselaar, K, Wipfler, EL, Feddes, RA, van Meijgaard, E & van den Hurk, B 2011, Soil moisture and root water uptake in climate models. Research Programme Climate Changes Spatial Planning. WUR + Royal Netherlands Meteorological Institute.

Soil moisture and root water uptake in climate models. Research Programme Climate Changes Spatial Planning. / van Dam, J.C.; Metselaar, K.; Wipfler, E.L.; Feddes, R.A.; van Meijgaard, E.; van den Hurk, B.

WUR + Royal Netherlands Meteorological Institute, 2011. 62 p.

Research output: Book/ReportReportAcademic

TY - BOOK

T1 - Soil moisture and root water uptake in climate models. Research Programme Climate Changes Spatial Planning

AU - van Dam, J.C.

AU - Metselaar, K.

AU - Wipfler, E.L.

AU - Feddes, R.A.

AU - van Meijgaard, E.

AU - van den Hurk, B.

PY - 2011

Y1 - 2011

N2 - More accurate simulation of the energy and water balance near the Earth surface is important to improve the performance of regional climate models. We used a detailed ecohydrological model to rank the importance of vegetation and soil factors with respect to evapotranspiration modeling. The results show that type of lower boundary condition, root zone depth, and temporal course of leaf area index have the strongest effect on yearly and monthly evapotranspiration. Soil texture data from the WISE database in combination with HYPRESS pedotransferfunctions can be used to derive more accurate Mualem-van Genuchten type soil moisture retention and hydraulic conductivity functions. We added recent literature data on root densities of agricultural crops to the root data base of Schenk and Jackson. We tested the HTESSEL land routine of the regional climate model RACMO for Western Hungary, which shows systematically too low evapotranspiration and too high air temperatures in many numerical regional climate studies. Satellite remote sensing data, in combination with the SEBAL algorithm, were used to derive evapotranspiration fluxes at a 1x1 km grid for the year 2005. Compared to satellite data, HTESSEL somewhat underestimated evapotranspiration fluxes. This underestimation occurred mainly in regions with irrigation and shallow groundwater, factors which are not included in HTESSEL. Tests with other reduction functions for root water uptake, more realistic soil depth, and a concept for groundwater influence did not yield more accurate spatially distributed evapotranspiration fluxes for Western Hungary.

AB - More accurate simulation of the energy and water balance near the Earth surface is important to improve the performance of regional climate models. We used a detailed ecohydrological model to rank the importance of vegetation and soil factors with respect to evapotranspiration modeling. The results show that type of lower boundary condition, root zone depth, and temporal course of leaf area index have the strongest effect on yearly and monthly evapotranspiration. Soil texture data from the WISE database in combination with HYPRESS pedotransferfunctions can be used to derive more accurate Mualem-van Genuchten type soil moisture retention and hydraulic conductivity functions. We added recent literature data on root densities of agricultural crops to the root data base of Schenk and Jackson. We tested the HTESSEL land routine of the regional climate model RACMO for Western Hungary, which shows systematically too low evapotranspiration and too high air temperatures in many numerical regional climate studies. Satellite remote sensing data, in combination with the SEBAL algorithm, were used to derive evapotranspiration fluxes at a 1x1 km grid for the year 2005. Compared to satellite data, HTESSEL somewhat underestimated evapotranspiration fluxes. This underestimation occurred mainly in regions with irrigation and shallow groundwater, factors which are not included in HTESSEL. Tests with other reduction functions for root water uptake, more realistic soil depth, and a concept for groundwater influence did not yield more accurate spatially distributed evapotranspiration fluxes for Western Hungary.

KW - bodemwater

KW - bodem-plant relaties

KW - waterbalans

KW - evaporatie

KW - ecohydrologie

KW - klimaatverandering

KW - modellen

KW - soil water

KW - soil plant relationships

KW - water balance

KW - evaporation

KW - ecohydrology

KW - climatic change

KW - models

M3 - Report

SN - 9789088150128

BT - Soil moisture and root water uptake in climate models. Research Programme Climate Changes Spatial Planning

PB - WUR + Royal Netherlands Meteorological Institute

ER -

van Dam JC, Metselaar K, Wipfler EL, Feddes RA, van Meijgaard E, van den Hurk B. Soil moisture and root water uptake in climate models. Research Programme Climate Changes Spatial Planning. WUR + Royal Netherlands Meteorological Institute, 2011. 62 p.