Improved hydrological modeling for remote regions using a combination of observed and simulated precipitation data

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Standard

Improved hydrological modeling for remote regions using a combination of observed and simulated precipitation data. / van der Linden, Sandra; Christensen, Jens Hesselbjerg.

I: Journal of Geophysical Research D: Atmospheres, Bind 108, Nr. 2, 27.01.2003.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

van der Linden, S & Christensen, JH 2003, 'Improved hydrological modeling for remote regions using a combination of observed and simulated precipitation data', Journal of Geophysical Research D: Atmospheres, bind 108, nr. 2.

APA

van der Linden, S., & Christensen, J. H. (2003). Improved hydrological modeling for remote regions using a combination of observed and simulated precipitation data. Journal of Geophysical Research D: Atmospheres, 108(2).

Vancouver

van der Linden S, Christensen JH. Improved hydrological modeling for remote regions using a combination of observed and simulated precipitation data. Journal of Geophysical Research D: Atmospheres. 2003 jan 27;108(2).

Author

van der Linden, Sandra ; Christensen, Jens Hesselbjerg. / Improved hydrological modeling for remote regions using a combination of observed and simulated precipitation data. I: Journal of Geophysical Research D: Atmospheres. 2003 ; Bind 108, Nr. 2.

Bibtex

@article{915d6278042c4488a5b69b92f67168e4,
title = "Improved hydrological modeling for remote regions using a combination of observed and simulated precipitation data",
abstract = "Precipitation, as simulated by climate models, can be used as input in hydrological models, despite possible biases both in the total annual amount simulated as well as the seasonal variation. Here we elaborated on a new technique, which adjusted precipitation data generated by a high-resolution regional climate model (HIRHAM4) with a mean-field bias correction using observed precipitation. A hydrological model (USAFLOW) was applied to simulate runoff using observed precipitation and a combination of observed and simulated precipitation as input. The method was illustrated for the remote Usa basin, situated in the European part of Arctic Russia, close to the Ural Mountains. It was shown that runoff simulations agree better with observations when the combined precipitation data set was used than when only observed precipitation was used. This appeared to be because the HIRHAM4 model data compensated for the absence of observed data from mountainous areas where precipitation is orographically enhanced. In both cases, the runoff simulated by USAFLOW was superior to the runoff simulated within the HIRHAM4 model itself. This was attributed to the rather simplistic description of the water balance in the HIRHAM4 model compared to a more complete representation in USAFLOW.",
keywords = "Hydrological model, Hydrology, Precipitation, Regional climate model",
author = "{van der Linden}, Sandra and Christensen, {Jens Hesselbjerg}",
year = "2003",
month = "1",
day = "27",
language = "English",
volume = "108",
journal = "Journal of Geophysical Research",
issn = "0148-0227",
publisher = "American Geophysical Union",
number = "2",

}

RIS

TY - JOUR

T1 - Improved hydrological modeling for remote regions using a combination of observed and simulated precipitation data

AU - van der Linden, Sandra

AU - Christensen, Jens Hesselbjerg

PY - 2003/1/27

Y1 - 2003/1/27

N2 - Precipitation, as simulated by climate models, can be used as input in hydrological models, despite possible biases both in the total annual amount simulated as well as the seasonal variation. Here we elaborated on a new technique, which adjusted precipitation data generated by a high-resolution regional climate model (HIRHAM4) with a mean-field bias correction using observed precipitation. A hydrological model (USAFLOW) was applied to simulate runoff using observed precipitation and a combination of observed and simulated precipitation as input. The method was illustrated for the remote Usa basin, situated in the European part of Arctic Russia, close to the Ural Mountains. It was shown that runoff simulations agree better with observations when the combined precipitation data set was used than when only observed precipitation was used. This appeared to be because the HIRHAM4 model data compensated for the absence of observed data from mountainous areas where precipitation is orographically enhanced. In both cases, the runoff simulated by USAFLOW was superior to the runoff simulated within the HIRHAM4 model itself. This was attributed to the rather simplistic description of the water balance in the HIRHAM4 model compared to a more complete representation in USAFLOW.

AB - Precipitation, as simulated by climate models, can be used as input in hydrological models, despite possible biases both in the total annual amount simulated as well as the seasonal variation. Here we elaborated on a new technique, which adjusted precipitation data generated by a high-resolution regional climate model (HIRHAM4) with a mean-field bias correction using observed precipitation. A hydrological model (USAFLOW) was applied to simulate runoff using observed precipitation and a combination of observed and simulated precipitation as input. The method was illustrated for the remote Usa basin, situated in the European part of Arctic Russia, close to the Ural Mountains. It was shown that runoff simulations agree better with observations when the combined precipitation data set was used than when only observed precipitation was used. This appeared to be because the HIRHAM4 model data compensated for the absence of observed data from mountainous areas where precipitation is orographically enhanced. In both cases, the runoff simulated by USAFLOW was superior to the runoff simulated within the HIRHAM4 model itself. This was attributed to the rather simplistic description of the water balance in the HIRHAM4 model compared to a more complete representation in USAFLOW.

KW - Hydrological model

KW - Hydrology

KW - Precipitation

KW - Regional climate model

UR - http://www.scopus.com/inward/record.url?scp=1642422879&partnerID=8YFLogxK

M3 - Journal article

VL - 108

JO - Journal of Geophysical Research

JF - Journal of Geophysical Research

SN - 0148-0227

IS - 2

ER -

ID: 186942827