Local control on precipitation in a fully coupled climate-hydrology model

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Local control on precipitation in a fully coupled climate-hydrology model. / Larsen, Morten A.D.; Christensen, Jens H.; Drews, Martin; Butts, Michael B.; Refsgaard, Jens C.

I: Scientific Reports, Bind 6, 22927, 2016.

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Harvard

Larsen, MAD, Christensen, JH, Drews, M, Butts, MB & Refsgaard, JC 2016, 'Local control on precipitation in a fully coupled climate-hydrology model', Scientific Reports, bind 6, 22927. https://doi.org/10.1038/srep22927

APA

Larsen, M. A. D., Christensen, J. H., Drews, M., Butts, M. B., & Refsgaard, J. C. (2016). Local control on precipitation in a fully coupled climate-hydrology model. Scientific Reports, 6, [22927]. https://doi.org/10.1038/srep22927

Vancouver

Larsen MAD, Christensen JH, Drews M, Butts MB, Refsgaard JC. Local control on precipitation in a fully coupled climate-hydrology model. Scientific Reports. 2016;6. 22927. https://doi.org/10.1038/srep22927

Author

Larsen, Morten A.D. ; Christensen, Jens H. ; Drews, Martin ; Butts, Michael B. ; Refsgaard, Jens C. / Local control on precipitation in a fully coupled climate-hydrology model. I: Scientific Reports. 2016 ; Bind 6.

Bibtex

@article{3afe9e5a3ea844ee9afb6c577ccbb107,
title = "Local control on precipitation in a fully coupled climate-hydrology model",
abstract = "The ability to simulate regional precipitation realistically by climate models is essential to understand and adapt to climate change. Due to the complexity of associated processes, particularly at unresolved temporal and spatial scales this continues to be a major challenge. As a result, climate simulations of precipitation often exhibit substantial biases that affect the reliability of future projections. Here we demonstrate how a regional climate model (RCM) coupled to a distributed hydrological catchment model that fully integrates water and energy fluxes between the subsurface, land surface, plant cover and the atmosphere, enables a realistic representation of local precipitation. Substantial improvements in simulated precipitation dynamics on seasonal and longer time scales is seen for a simulation period of six years and can be attributed to a more complete treatment of hydrological sub-surface processes including groundwater and moisture feedback. A high degree of local influence on the atmosphere suggests that coupled climate-hydrology models have a potential for improving climate projections and the results further indicate a diminished need for bias correction in climate-hydrology impact studies.",
author = "Larsen, {Morten A.D.} and Christensen, {Jens H.} and Martin Drews and Butts, {Michael B.} and Refsgaard, {Jens C.}",
year = "2016",
doi = "10.1038/srep22927",
language = "English",
volume = "6",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - Local control on precipitation in a fully coupled climate-hydrology model

AU - Larsen, Morten A.D.

AU - Christensen, Jens H.

AU - Drews, Martin

AU - Butts, Michael B.

AU - Refsgaard, Jens C.

PY - 2016

Y1 - 2016

N2 - The ability to simulate regional precipitation realistically by climate models is essential to understand and adapt to climate change. Due to the complexity of associated processes, particularly at unresolved temporal and spatial scales this continues to be a major challenge. As a result, climate simulations of precipitation often exhibit substantial biases that affect the reliability of future projections. Here we demonstrate how a regional climate model (RCM) coupled to a distributed hydrological catchment model that fully integrates water and energy fluxes between the subsurface, land surface, plant cover and the atmosphere, enables a realistic representation of local precipitation. Substantial improvements in simulated precipitation dynamics on seasonal and longer time scales is seen for a simulation period of six years and can be attributed to a more complete treatment of hydrological sub-surface processes including groundwater and moisture feedback. A high degree of local influence on the atmosphere suggests that coupled climate-hydrology models have a potential for improving climate projections and the results further indicate a diminished need for bias correction in climate-hydrology impact studies.

AB - The ability to simulate regional precipitation realistically by climate models is essential to understand and adapt to climate change. Due to the complexity of associated processes, particularly at unresolved temporal and spatial scales this continues to be a major challenge. As a result, climate simulations of precipitation often exhibit substantial biases that affect the reliability of future projections. Here we demonstrate how a regional climate model (RCM) coupled to a distributed hydrological catchment model that fully integrates water and energy fluxes between the subsurface, land surface, plant cover and the atmosphere, enables a realistic representation of local precipitation. Substantial improvements in simulated precipitation dynamics on seasonal and longer time scales is seen for a simulation period of six years and can be attributed to a more complete treatment of hydrological sub-surface processes including groundwater and moisture feedback. A high degree of local influence on the atmosphere suggests that coupled climate-hydrology models have a potential for improving climate projections and the results further indicate a diminished need for bias correction in climate-hydrology impact studies.

U2 - 10.1038/srep22927

DO - 10.1038/srep22927

M3 - Journal article

AN - SCOPUS:84961174780

VL - 6

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 22927

ER -

ID: 186939366