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weather@home 2: validation of an improved global–regional climate modelling system

Research output: Contribution to journalLetter (Academic Journal)

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weather@home 2: validation of an improved global–regional climate modelling system. / Guillod, Benoit ; Jones, Richard; Bowery, Andy; Haustein, Karsten; Massey, Neil; Mitchell, Daniel M.; Otto, Friederike; Sparrow, Sarah; Uhe, Peter; Wallom, David; Wilson, Simon; Allen, Myles.

In: Geoscientific Model Development, Vol. 10, No. 5, 05.05.2017.

Research output: Contribution to journalLetter (Academic Journal)

Harvard

Guillod, B, Jones, R, Bowery, A, Haustein, K, Massey, N, Mitchell, DM, Otto, F, Sparrow, S, Uhe, P, Wallom, D, Wilson, S & Allen, M 2017, 'weather@home 2: validation of an improved global–regional climate modelling system', Geoscientific Model Development, vol. 10, no. 5. https://doi.org/10.5194/gmd-10-1849-2017

APA

Guillod, B., Jones, R., Bowery, A., Haustein, K., Massey, N., Mitchell, D. M., Otto, F., Sparrow, S., Uhe, P., Wallom, D., Wilson, S., & Allen, M. (2017). weather@home 2: validation of an improved global–regional climate modelling system. Geoscientific Model Development, 10(5). https://doi.org/10.5194/gmd-10-1849-2017

Vancouver

Guillod B, Jones R, Bowery A, Haustein K, Massey N, Mitchell DM et al. weather@home 2: validation of an improved global–regional climate modelling system. Geoscientific Model Development. 2017 May 5;10(5). https://doi.org/10.5194/gmd-10-1849-2017

Author

Guillod, Benoit ; Jones, Richard ; Bowery, Andy ; Haustein, Karsten ; Massey, Neil ; Mitchell, Daniel M. ; Otto, Friederike ; Sparrow, Sarah ; Uhe, Peter ; Wallom, David ; Wilson, Simon ; Allen, Myles. / weather@home 2: validation of an improved global–regional climate modelling system. In: Geoscientific Model Development. 2017 ; Vol. 10, No. 5.

Bibtex

@article{34e0573667c34021afa26221957debdc,
title = "weather@home 2: validation of an improved global–regional climate modelling system",
abstract = "Extreme weather events can have large impacts on society and, in many regions, are expected to change in frequency and intensity with climate change. Owing to the relatively short observational record, climate models are useful tools as they allow for generation of a larger sample of extreme events, to attribute recent events to anthropogenic climate change, and to project changes in such events into the future. The modelling system known as weather@home, consisting of a global climate model (GCM) with a nested regional climate model (RCM) and driven by sea surface temperatures, allows one to generate a very large ensemble with the help of volunteer distributed computing. This is a key tool to understanding many aspects of extreme events. Here, a new version of the weather@home system (weather@home 2) with a higher-resolution RCM over Europe is documented and a broad validation of the climate is performed. The new model includes a more recent land-surface scheme in both GCM and RCM, where subgrid-scale land-surface heterogeneity is newly represented using tiles, and an increase in RCM resolution from 50 to 25 km. The GCM performs similarly to the previous version, with some improvements in the representation of mean climate. The European RCM temperature biases are overall reduced, in particular the warm bias over eastern Europe, but large biases remain. Precipitation is improved over the Alps in summer, with mixed changes in other regions and seasons. The model is shown to represent the main classes of regional extreme events reasonably well and shows a good sensitivity to its drivers. In particular, given the improvements in this version of the weather@home system, it is likely that more reliable statements can be made with regards to impact statements, especially at more localized scales.",
author = "Benoit Guillod and Richard Jones and Andy Bowery and Karsten Haustein and Neil Massey and Mitchell, {Daniel M.} and Friederike Otto and Sarah Sparrow and Peter Uhe and David Wallom and Simon Wilson and Myles Allen",
year = "2017",
month = may,
day = "5",
doi = "10.5194/gmd-10-1849-2017",
language = "English",
volume = "10",
journal = "Geoscientific Model Development",
issn = "1991-959X",
publisher = "Copernicus GmbH",
number = "5",

}

RIS - suitable for import to EndNote

TY - JOUR

T1 - weather@home 2: validation of an improved global–regional climate modelling system

AU - Guillod, Benoit

AU - Jones, Richard

AU - Bowery, Andy

AU - Haustein, Karsten

AU - Massey, Neil

AU - Mitchell, Daniel M.

AU - Otto, Friederike

AU - Sparrow, Sarah

AU - Uhe, Peter

AU - Wallom, David

AU - Wilson, Simon

AU - Allen, Myles

PY - 2017/5/5

Y1 - 2017/5/5

N2 - Extreme weather events can have large impacts on society and, in many regions, are expected to change in frequency and intensity with climate change. Owing to the relatively short observational record, climate models are useful tools as they allow for generation of a larger sample of extreme events, to attribute recent events to anthropogenic climate change, and to project changes in such events into the future. The modelling system known as weather@home, consisting of a global climate model (GCM) with a nested regional climate model (RCM) and driven by sea surface temperatures, allows one to generate a very large ensemble with the help of volunteer distributed computing. This is a key tool to understanding many aspects of extreme events. Here, a new version of the weather@home system (weather@home 2) with a higher-resolution RCM over Europe is documented and a broad validation of the climate is performed. The new model includes a more recent land-surface scheme in both GCM and RCM, where subgrid-scale land-surface heterogeneity is newly represented using tiles, and an increase in RCM resolution from 50 to 25 km. The GCM performs similarly to the previous version, with some improvements in the representation of mean climate. The European RCM temperature biases are overall reduced, in particular the warm bias over eastern Europe, but large biases remain. Precipitation is improved over the Alps in summer, with mixed changes in other regions and seasons. The model is shown to represent the main classes of regional extreme events reasonably well and shows a good sensitivity to its drivers. In particular, given the improvements in this version of the weather@home system, it is likely that more reliable statements can be made with regards to impact statements, especially at more localized scales.

AB - Extreme weather events can have large impacts on society and, in many regions, are expected to change in frequency and intensity with climate change. Owing to the relatively short observational record, climate models are useful tools as they allow for generation of a larger sample of extreme events, to attribute recent events to anthropogenic climate change, and to project changes in such events into the future. The modelling system known as weather@home, consisting of a global climate model (GCM) with a nested regional climate model (RCM) and driven by sea surface temperatures, allows one to generate a very large ensemble with the help of volunteer distributed computing. This is a key tool to understanding many aspects of extreme events. Here, a new version of the weather@home system (weather@home 2) with a higher-resolution RCM over Europe is documented and a broad validation of the climate is performed. The new model includes a more recent land-surface scheme in both GCM and RCM, where subgrid-scale land-surface heterogeneity is newly represented using tiles, and an increase in RCM resolution from 50 to 25 km. The GCM performs similarly to the previous version, with some improvements in the representation of mean climate. The European RCM temperature biases are overall reduced, in particular the warm bias over eastern Europe, but large biases remain. Precipitation is improved over the Alps in summer, with mixed changes in other regions and seasons. The model is shown to represent the main classes of regional extreme events reasonably well and shows a good sensitivity to its drivers. In particular, given the improvements in this version of the weather@home system, it is likely that more reliable statements can be made with regards to impact statements, especially at more localized scales.

U2 - 10.5194/gmd-10-1849-2017

DO - 10.5194/gmd-10-1849-2017

M3 - Letter (Academic Journal)

VL - 10

JO - Geoscientific Model Development

JF - Geoscientific Model Development

SN - 1991-959X

IS - 5

ER -