On the need for bias correction of regional climate change projections of temperature and precipitation

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On the need for bias correction of regional climate change projections of temperature and precipitation. / Christensen, Jens Hesselbjerg; Boberg, Fredrik; Christensen, Ole Bøssing; Lucas-Picher, Philippe.

I: Geophysical Research Letters, Bind 35, Nr. 20, L20709, 2008.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Christensen, JH, Boberg, F, Christensen, OB & Lucas-Picher, P 2008, 'On the need for bias correction of regional climate change projections of temperature and precipitation', Geophysical Research Letters, bind 35, nr. 20, L20709. https://doi.org/10.1029/2008GL035694

APA

Christensen, J. H., Boberg, F., Christensen, O. B., & Lucas-Picher, P. (2008). On the need for bias correction of regional climate change projections of temperature and precipitation. Geophysical Research Letters, 35(20), [L20709]. https://doi.org/10.1029/2008GL035694

Vancouver

Christensen JH, Boberg F, Christensen OB, Lucas-Picher P. On the need for bias correction of regional climate change projections of temperature and precipitation. Geophysical Research Letters. 2008;35(20). L20709. https://doi.org/10.1029/2008GL035694

Author

Christensen, Jens Hesselbjerg ; Boberg, Fredrik ; Christensen, Ole Bøssing ; Lucas-Picher, Philippe. / On the need for bias correction of regional climate change projections of temperature and precipitation. I: Geophysical Research Letters. 2008 ; Bind 35, Nr. 20.

Bibtex

@article{2e9bf858b39446bb992b12dadcfe1208,
title = "On the need for bias correction of regional climate change projections of temperature and precipitation",
abstract = "Within the framework of the European project ENSEMBLES (ensembles-based predictions of climate changes and their impacts) we explore the systematic bias in simulated monthly mean temperature and precipitation for an ensemble of thirteen regional climate models (RCMs). The models have been forced with the European Centre for Medium Range Weather Forecasting Reanalysis (ERA40) and are compared to a new high resolution gridded observational data set. We find that each model has a distinct systematic bias relating both temperature and precipitation bias to the observed mean. By excluding the twenty-five percent warmest and wettest months, respectively, we find that a derived second-order fit from the remaining months can be used to estimate the values of the excluded months. We demonstrate that the common assumption of bias cancellation (invariance) in climate change projections can have significant limitations when temperatures in the warmest months exceed 4-6 °C above present day conditions.",
author = "Christensen, {Jens Hesselbjerg} and Fredrik Boberg and Christensen, {Ole B{\o}ssing} and Philippe Lucas-Picher",
year = "2008",
doi = "10.1029/2008GL035694",
language = "English",
volume = "35",
journal = "Geophysical Research Letters (Online)",
issn = "1944-8007",
publisher = "Wiley-Blackwell",
number = "20",

}

RIS

TY - JOUR

T1 - On the need for bias correction of regional climate change projections of temperature and precipitation

AU - Christensen, Jens Hesselbjerg

AU - Boberg, Fredrik

AU - Christensen, Ole Bøssing

AU - Lucas-Picher, Philippe

PY - 2008

Y1 - 2008

N2 - Within the framework of the European project ENSEMBLES (ensembles-based predictions of climate changes and their impacts) we explore the systematic bias in simulated monthly mean temperature and precipitation for an ensemble of thirteen regional climate models (RCMs). The models have been forced with the European Centre for Medium Range Weather Forecasting Reanalysis (ERA40) and are compared to a new high resolution gridded observational data set. We find that each model has a distinct systematic bias relating both temperature and precipitation bias to the observed mean. By excluding the twenty-five percent warmest and wettest months, respectively, we find that a derived second-order fit from the remaining months can be used to estimate the values of the excluded months. We demonstrate that the common assumption of bias cancellation (invariance) in climate change projections can have significant limitations when temperatures in the warmest months exceed 4-6 °C above present day conditions.

AB - Within the framework of the European project ENSEMBLES (ensembles-based predictions of climate changes and their impacts) we explore the systematic bias in simulated monthly mean temperature and precipitation for an ensemble of thirteen regional climate models (RCMs). The models have been forced with the European Centre for Medium Range Weather Forecasting Reanalysis (ERA40) and are compared to a new high resolution gridded observational data set. We find that each model has a distinct systematic bias relating both temperature and precipitation bias to the observed mean. By excluding the twenty-five percent warmest and wettest months, respectively, we find that a derived second-order fit from the remaining months can be used to estimate the values of the excluded months. We demonstrate that the common assumption of bias cancellation (invariance) in climate change projections can have significant limitations when temperatures in the warmest months exceed 4-6 °C above present day conditions.

U2 - 10.1029/2008GL035694

DO - 10.1029/2008GL035694

M3 - Journal article

AN - SCOPUS:58249085384

VL - 35

JO - Geophysical Research Letters (Online)

JF - Geophysical Research Letters (Online)

SN - 1944-8007

IS - 20

M1 - L20709

ER -

ID: 186941245