Water balance evaluation in Denmark using remote sensing-driven land surface modelling and spatially distributed hydrological modelling

Eva Boegh; Britt S.B. Christensen; Lars Troldborg

Water balance evaluation in Denmark using remote sensing-driven land surface modelling and spatially distributed hydrological modelling

Eva Boegh, Britt S.B. Christensen, Lars Troldborg

Department of Hydrology

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings

Abstract

This study evaluates the water balance of the island of Sjælland (7330 km²) in Denmark using two different types of physically-based model approaches. The DaisyGIS model is an advanced 1-D land surface model
which is parameterized at the plot-scale and upscaled using remote sensing and GIS (Geographical Information System) data to represent land cover and
soil characteristics. In comparison, the DK-model constitutes a 3-D integrated hydrological model setup (based on the MIKE SHE code) which uses a
comprehensive geological data set and is calibrated to obtain global model parameters representing all catchments at Sjælland. A good agreement was
found between annual net precipitation (precipitation minus evapotranspiration) estimated by the two model systems, but seasonal differences in
evapotranspiration occurred which could be related to the use of the remote sensing for evapotranspiration calculation in Daisy or caused by dissimilar soil
properties. Despite these differences, the DK-model simulated streamflows efficiently for both agricultural and forest catchments. In contrast, Daisy simulations suggest that a more advanced distributed land surface parameterization can contribute to improving water balance simulations of urbanized surface-water dominated catchments. The integrated annual water balance of Sjælland was found to be nearly in balance but large spatial variations occurred among the 30 studied catchments. Overall, the results indicate a need for further studies on model sensitivity and uncertainties related to net precipitation quantification in spatially distributed hydrological modelling.

Original language	English
Title of host publication	Quantification and reduction of predictive uncertainty for sustainable water resources management. Proceedings of Symposium HS2004 at IUGG2007, Perugia, July 2007
Editors	Eva Boegh, Harald Kunstmann, Thorsten Wagener, Alan Hall, Luis Bastidas, Stewart Franks, Hoshin Gupta, Dan Rosbjerg, John Schaake
Publisher	IAHS
Pages	267-277
Number of pages	12
ISBN (Print)	9781901502091
Publication status	Published - 2007
Event	International Union of Geodesy and Geophysics XXIV General Assembly - Perugia, Italy Duration: 2 Jul 2007 → 13 Jul 2007 Conference number: 24

Publication series

Series	IAHS Publication
Volume	313
ISSN	0144-7815

Conference

Conference	International Union of Geodesy and Geophysics XXIV General Assembly
Abbreviated title	IUAG XXIV
Country/Territory	Italy
City	Perugia
Period	2/07/07 → 13/07/07

Keywords

3-D Hydrological model
Denmark
Land surface model
Large-scale
Water balance modelling

Programme Area

Programme Area 2: Water Resources

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

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Cite this

Boegh, E., Christensen, B. S. B., & Troldborg, L. (2007). Water balance evaluation in Denmark using remote sensing-driven land surface modelling and spatially distributed hydrological modelling. In E. Boegh, H. Kunstmann, T. Wagener, A. Hall, L. Bastidas, S. Franks, H. Gupta, D. Rosbjerg, & J. Schaake (Eds.), Quantification and reduction of predictive uncertainty for sustainable water resources management. Proceedings of Symposium HS2004 at IUGG2007, Perugia, July 2007 (pp. 267-277). IAHS. https://iahs.info/uploads/dms/13990.37-266-277-313-31-Boegh-exp.pdf

Boegh, Eva ; Christensen, Britt S.B. ; Troldborg, Lars. / Water balance evaluation in Denmark using remote sensing-driven land surface modelling and spatially distributed hydrological modelling. Quantification and reduction of predictive uncertainty for sustainable water resources management. Proceedings of Symposium HS2004 at IUGG2007, Perugia, July 2007. editor / Eva Boegh ; Harald Kunstmann ; Thorsten Wagener ; Alan Hall ; Luis Bastidas ; Stewart Franks ; Hoshin Gupta ; Dan Rosbjerg ; John Schaake. IAHS, 2007. pp. 267-277 (IAHS Publication, Vol. 313).

@inproceedings{ba827c8ea1e84a60b16e48037dc64709,

title = "Water balance evaluation in Denmark using remote sensing-driven land surface modelling and spatially distributed hydrological modelling",

abstract = "This study evaluates the water balance of the island of Sj{\ae}lland (7330 km2) in Denmark using two different types of physically-based model approaches. The DaisyGIS model is an advanced 1-D land surface model which is parameterized at the plot-scale and upscaled using remote sensing and GIS (Geographical Information System) data to represent land cover and soil characteristics. In comparison, the DK-model constitutes a 3-D integrated hydrological model setup (based on the MIKE SHE code) which uses a comprehensive geological data set and is calibrated to obtain global model parameters representing all catchments at Sj{\ae}lland. A good agreement was found between annual net precipitation (precipitation minus evapotranspiration) estimated by the two model systems, but seasonal differences in evapotranspiration occurred which could be related to the use of the remote sensing for evapotranspiration calculation in Daisy or caused by dissimilar soil properties. Despite these differences, the DK-model simulated streamflows efficiently for both agricultural and forest catchments. In contrast, Daisy simulations suggest that a more advanced distributed land surface parameterization can contribute to improving water balance simulations of urbanized surface-water dominated catchments. The integrated annual water balance of Sj{\ae}lland was found to be nearly in balance but large spatial variations occurred among the 30 studied catchments. Overall, the results indicate a need for further studies on model sensitivity and uncertainties related to net precipitation quantification in spatially distributed hydrological modelling. ",

keywords = "3-D Hydrological model, Denmark, Land surface model, Large-scale, Water balance modelling",

author = "Eva Boegh and Christensen, {Britt S.B.} and Lars Troldborg",

year = "2007",

language = "English",

isbn = "9781901502091",

series = "IAHS Publication",

publisher = "IAHS",

pages = "267--277",

editor = "Eva Boegh and Harald Kunstmann and Thorsten Wagener and Alan Hall and Luis Bastidas and Stewart Franks and Hoshin Gupta and Dan Rosbjerg and John Schaake",

booktitle = "Quantification and reduction of predictive uncertainty for sustainable water resources management. Proceedings of Symposium HS2004 at IUGG2007, Perugia, July 2007",

note = "International Union of Geodesy and Geophysics XXIV General Assembly, IUAG XXIV ; Conference date: 02-07-2007 Through 13-07-2007",

}

Boegh, E, Christensen, BSB & Troldborg, L 2007, Water balance evaluation in Denmark using remote sensing-driven land surface modelling and spatially distributed hydrological modelling. in E Boegh, H Kunstmann, T Wagener, A Hall, L Bastidas, S Franks, H Gupta, D Rosbjerg & J Schaake (eds), Quantification and reduction of predictive uncertainty for sustainable water resources management. Proceedings of Symposium HS2004 at IUGG2007, Perugia, July 2007. IAHS, IAHS Publication, vol. 313, pp. 267-277, International Union of Geodesy and Geophysics XXIV General Assembly, Perugia, Italy, 2/07/07. <https://iahs.info/uploads/dms/13990.37-266-277-313-31-Boegh-exp.pdf>

Water balance evaluation in Denmark using remote sensing-driven land surface modelling and spatially distributed hydrological modelling. / Boegh, Eva; Christensen, Britt S.B.; Troldborg, Lars.
Quantification and reduction of predictive uncertainty for sustainable water resources management. Proceedings of Symposium HS2004 at IUGG2007, Perugia, July 2007. ed. / Eva Boegh; Harald Kunstmann; Thorsten Wagener; Alan Hall; Luis Bastidas; Stewart Franks; Hoshin Gupta; Dan Rosbjerg; John Schaake. IAHS, 2007. p. 267-277 (IAHS Publication, Vol. 313).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings

TY - GEN

T1 - Water balance evaluation in Denmark using remote sensing-driven land surface modelling and spatially distributed hydrological modelling

AU - Boegh, Eva

AU - Christensen, Britt S.B.

AU - Troldborg, Lars

N1 - Conference code: 24

PY - 2007

Y1 - 2007

N2 - This study evaluates the water balance of the island of Sjælland (7330 km2) in Denmark using two different types of physically-based model approaches. The DaisyGIS model is an advanced 1-D land surface model which is parameterized at the plot-scale and upscaled using remote sensing and GIS (Geographical Information System) data to represent land cover and soil characteristics. In comparison, the DK-model constitutes a 3-D integrated hydrological model setup (based on the MIKE SHE code) which uses a comprehensive geological data set and is calibrated to obtain global model parameters representing all catchments at Sjælland. A good agreement was found between annual net precipitation (precipitation minus evapotranspiration) estimated by the two model systems, but seasonal differences in evapotranspiration occurred which could be related to the use of the remote sensing for evapotranspiration calculation in Daisy or caused by dissimilar soil properties. Despite these differences, the DK-model simulated streamflows efficiently for both agricultural and forest catchments. In contrast, Daisy simulations suggest that a more advanced distributed land surface parameterization can contribute to improving water balance simulations of urbanized surface-water dominated catchments. The integrated annual water balance of Sjælland was found to be nearly in balance but large spatial variations occurred among the 30 studied catchments. Overall, the results indicate a need for further studies on model sensitivity and uncertainties related to net precipitation quantification in spatially distributed hydrological modelling.

AB - This study evaluates the water balance of the island of Sjælland (7330 km2) in Denmark using two different types of physically-based model approaches. The DaisyGIS model is an advanced 1-D land surface model which is parameterized at the plot-scale and upscaled using remote sensing and GIS (Geographical Information System) data to represent land cover and soil characteristics. In comparison, the DK-model constitutes a 3-D integrated hydrological model setup (based on the MIKE SHE code) which uses a comprehensive geological data set and is calibrated to obtain global model parameters representing all catchments at Sjælland. A good agreement was found between annual net precipitation (precipitation minus evapotranspiration) estimated by the two model systems, but seasonal differences in evapotranspiration occurred which could be related to the use of the remote sensing for evapotranspiration calculation in Daisy or caused by dissimilar soil properties. Despite these differences, the DK-model simulated streamflows efficiently for both agricultural and forest catchments. In contrast, Daisy simulations suggest that a more advanced distributed land surface parameterization can contribute to improving water balance simulations of urbanized surface-water dominated catchments. The integrated annual water balance of Sjælland was found to be nearly in balance but large spatial variations occurred among the 30 studied catchments. Overall, the results indicate a need for further studies on model sensitivity and uncertainties related to net precipitation quantification in spatially distributed hydrological modelling.

KW - 3-D Hydrological model

KW - Denmark

KW - Land surface model

KW - Large-scale

KW - Water balance modelling

UR - http://www.scopus.com/inward/record.url?scp=55749113377&partnerID=8YFLogxK

M3 - Conference article in proceedings

SN - 9781901502091

T3 - IAHS Publication

SP - 267

EP - 277

BT - Quantification and reduction of predictive uncertainty for sustainable water resources management. Proceedings of Symposium HS2004 at IUGG2007, Perugia, July 2007

A2 - Boegh, Eva

A2 - Kunstmann, Harald

A2 - Wagener, Thorsten

A2 - Hall, Alan

A2 - Bastidas, Luis

A2 - Franks, Stewart

A2 - Gupta, Hoshin

A2 - Rosbjerg, Dan

A2 - Schaake, John

PB - IAHS

T2 - International Union of Geodesy and Geophysics XXIV General Assembly

Y2 - 2 July 2007 through 13 July 2007

ER -

Boegh E, Christensen BSB, Troldborg L. Water balance evaluation in Denmark using remote sensing-driven land surface modelling and spatially distributed hydrological modelling. In Boegh E, Kunstmann H, Wagener T, Hall A, Bastidas L, Franks S, Gupta H, Rosbjerg D, Schaake J, editors, Quantification and reduction of predictive uncertainty for sustainable water resources management. Proceedings of Symposium HS2004 at IUGG2007, Perugia, July 2007. IAHS. 2007. p. 267-277. (IAHS Publication, Vol. 313).

Water balance evaluation in Denmark using remote sensing-driven land surface modelling and spatially distributed hydrological modelling

Abstract

Publication series

Conference

Keywords

Programme Area

UN SDGs

Access to Document

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Cite this