Large‐scale regional model biases in the extra‐tropical North Atlantic storm track and impacts on downstream precipitation
Global climate models have circulation biases that the community aims to reduce, for instance through high‐resolution dynamical downscaling. We used the Weather Research and Forecasting model (WRF) to downscale both ERA‐Interim and a bias‐corrected version of the Norwegian climate model NorESM1‐M on...
Published in: | Quarterly Journal of the Royal Meteorological Society |
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Language: | English |
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Online Access: | https://hdl.handle.net/11250/2653049 https://doi.org/10.1002/qj.3588 |
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ftnorce:oai:norceresearch.brage.unit.no:11250/2653049 2023-05-15T17:30:20+02:00 Large‐scale regional model biases in the extra‐tropical North Atlantic storm track and impacts on downstream precipitation Pontoppidan, Marie Louise Nielsen Kolstad, Erik Wilhelm Sobolowski, Stefan Pieter Sorteberg, Asgeir Changhai, Liu Rasmussen, Roy 2019 application/pdf https://hdl.handle.net/11250/2653049 https://doi.org/10.1002/qj.3588 eng eng Norges forskningsråd: 255397 Norges forskningsråd: 261739 urn:issn:0035-9009 https://hdl.handle.net/11250/2653049 https://doi.org/10.1002/qj.3588 cristin:1709647 CC BY-NC 4.0 https://creativecommons.org/licenses/by-nc/4.0/ CC-BY-NC Quarterly Journal of the Royal Meteorological Society 145 723 Peer reviewed Journal article 2019 ftnorce https://doi.org/10.1002/qj.3588 2022-10-13T05:50:35Z Global climate models have circulation biases that the community aims to reduce, for instance through high‐resolution dynamical downscaling. We used the Weather Research and Forecasting model (WRF) to downscale both ERA‐Interim and a bias‐corrected version of the Norwegian climate model NorESM1‐M on a high‐resolution grid. By varying the domain size, we investigated the influence of the driving data and highly resolved topography on the North Atlantic storm track and the precipitation in its exit region. In our largest domains, we found large‐scale circulation and storm track biases similar to those seen in global models and with spatial patterns independent of the driving data. The biases in the smaller domains were more dependent on the quality of the driving data. Nevertheless, the biases had little effect on the simulated precipitation in Norway. Although the added value of downscaling was clear with respect to the global climate models, all the downscaled simulations showed similar precipitation frequencies and intensities. We posit that, because the precipitation is so strongly governed by the local topographic forcing, a correct storm track is less critical for the precipitation distribution. publishedVersion Article in Journal/Newspaper North Atlantic NORCE vitenarkiv (Norwegian Research Centre) Norway Quarterly Journal of the Royal Meteorological Society 145 723 2718 2732 |
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Open Polar |
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NORCE vitenarkiv (Norwegian Research Centre) |
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ftnorce |
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English |
description |
Global climate models have circulation biases that the community aims to reduce, for instance through high‐resolution dynamical downscaling. We used the Weather Research and Forecasting model (WRF) to downscale both ERA‐Interim and a bias‐corrected version of the Norwegian climate model NorESM1‐M on a high‐resolution grid. By varying the domain size, we investigated the influence of the driving data and highly resolved topography on the North Atlantic storm track and the precipitation in its exit region. In our largest domains, we found large‐scale circulation and storm track biases similar to those seen in global models and with spatial patterns independent of the driving data. The biases in the smaller domains were more dependent on the quality of the driving data. Nevertheless, the biases had little effect on the simulated precipitation in Norway. Although the added value of downscaling was clear with respect to the global climate models, all the downscaled simulations showed similar precipitation frequencies and intensities. We posit that, because the precipitation is so strongly governed by the local topographic forcing, a correct storm track is less critical for the precipitation distribution. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Pontoppidan, Marie Louise Nielsen Kolstad, Erik Wilhelm Sobolowski, Stefan Pieter Sorteberg, Asgeir Changhai, Liu Rasmussen, Roy |
spellingShingle |
Pontoppidan, Marie Louise Nielsen Kolstad, Erik Wilhelm Sobolowski, Stefan Pieter Sorteberg, Asgeir Changhai, Liu Rasmussen, Roy Large‐scale regional model biases in the extra‐tropical North Atlantic storm track and impacts on downstream precipitation |
author_facet |
Pontoppidan, Marie Louise Nielsen Kolstad, Erik Wilhelm Sobolowski, Stefan Pieter Sorteberg, Asgeir Changhai, Liu Rasmussen, Roy |
author_sort |
Pontoppidan, Marie Louise Nielsen |
title |
Large‐scale regional model biases in the extra‐tropical North Atlantic storm track and impacts on downstream precipitation |
title_short |
Large‐scale regional model biases in the extra‐tropical North Atlantic storm track and impacts on downstream precipitation |
title_full |
Large‐scale regional model biases in the extra‐tropical North Atlantic storm track and impacts on downstream precipitation |
title_fullStr |
Large‐scale regional model biases in the extra‐tropical North Atlantic storm track and impacts on downstream precipitation |
title_full_unstemmed |
Large‐scale regional model biases in the extra‐tropical North Atlantic storm track and impacts on downstream precipitation |
title_sort |
large‐scale regional model biases in the extra‐tropical north atlantic storm track and impacts on downstream precipitation |
publishDate |
2019 |
url |
https://hdl.handle.net/11250/2653049 https://doi.org/10.1002/qj.3588 |
geographic |
Norway |
geographic_facet |
Norway |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Quarterly Journal of the Royal Meteorological Society 145 723 |
op_relation |
Norges forskningsråd: 255397 Norges forskningsråd: 261739 urn:issn:0035-9009 https://hdl.handle.net/11250/2653049 https://doi.org/10.1002/qj.3588 cristin:1709647 |
op_rights |
CC BY-NC 4.0 https://creativecommons.org/licenses/by-nc/4.0/ |
op_rightsnorm |
CC-BY-NC |
op_doi |
https://doi.org/10.1002/qj.3588 |
container_title |
Quarterly Journal of the Royal Meteorological Society |
container_volume |
145 |
container_issue |
723 |
container_start_page |
2718 |
op_container_end_page |
2732 |
_version_ |
1766126694860587008 |