The Importance of Lateral Boundaries, Surface Forcing and Choice of Domain Size for Dynamical Downscaling of Global Climate Simulations
Dynamical downscaling by atmospheric Regional Climate Models (RCMs) forced with low-resolution data should produce climate details and add quality and value to the low-resolution data. The aim of this study was to explore the importance of (i) the oceanic surface forcing (sea-surface temperature (SS...
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ftdoajarticles:oai:doaj.org/article:b0ff6c23ab41477cb0176d768fc108d0 2023-05-15T18:18:34+02:00 The Importance of Lateral Boundaries, Surface Forcing and Choice of Domain Size for Dynamical Downscaling of Global Climate Simulations Morten A.Ø. Køltzow Jan Erik Haugen Trond Iversen 2011-05-01T00:00:00Z https://doi.org/10.3390/atmos2020067 https://doaj.org/article/b0ff6c23ab41477cb0176d768fc108d0 EN eng MDPI AG http://www.mdpi.com/2073-4433/2/2/67/ https://doaj.org/toc/2073-4433 doi:10.3390/atmos2020067 2073-4433 https://doaj.org/article/b0ff6c23ab41477cb0176d768fc108d0 Atmosphere, Vol 2, Iss 2, Pp 67-95 (2011) dynamical downscaling lateral- and surface forcing domain size Meteorology. Climatology QC851-999 article 2011 ftdoajarticles https://doi.org/10.3390/atmos2020067 2022-12-31T15:22:46Z Dynamical downscaling by atmospheric Regional Climate Models (RCMs) forced with low-resolution data should produce climate details and add quality and value to the low-resolution data. The aim of this study was to explore the importance of (i) the oceanic surface forcing (sea-surface temperature (SST) and sea-ice), (ii) the lateral boundary condition data, and (iii) the size of the integration domain with respect to improved quality and value in dynamically downscaled data. Experiments addressing the three aspects were performed and the results were investigated for mean sea level pressure (mslp), 2 m air temperature (T2m) and daily precipitation. Although changes in SST gave a clear response locally, changes in the lateral boundary data and the size of the integration domain turned out to be more important with our geographical scope being Norway. The T2m turned out less sensitive to the changes in lateral forcing and the size of the integration domain than mslp and precipitation. The sensitivity for all three variables differed between Norwegian regions; northern parts of Norway were the most sensitive. Even though the sensitivities found in this study might be different in other regions and for other RCMs, these results call for careful consideration when choosing integration domain and driving lateral boundary data when performing dynamical downscaling. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Norway Atmosphere 2 2 67 95 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
dynamical downscaling lateral- and surface forcing domain size Meteorology. Climatology QC851-999 |
spellingShingle |
dynamical downscaling lateral- and surface forcing domain size Meteorology. Climatology QC851-999 Morten A.Ø. Køltzow Jan Erik Haugen Trond Iversen The Importance of Lateral Boundaries, Surface Forcing and Choice of Domain Size for Dynamical Downscaling of Global Climate Simulations |
topic_facet |
dynamical downscaling lateral- and surface forcing domain size Meteorology. Climatology QC851-999 |
description |
Dynamical downscaling by atmospheric Regional Climate Models (RCMs) forced with low-resolution data should produce climate details and add quality and value to the low-resolution data. The aim of this study was to explore the importance of (i) the oceanic surface forcing (sea-surface temperature (SST) and sea-ice), (ii) the lateral boundary condition data, and (iii) the size of the integration domain with respect to improved quality and value in dynamically downscaled data. Experiments addressing the three aspects were performed and the results were investigated for mean sea level pressure (mslp), 2 m air temperature (T2m) and daily precipitation. Although changes in SST gave a clear response locally, changes in the lateral boundary data and the size of the integration domain turned out to be more important with our geographical scope being Norway. The T2m turned out less sensitive to the changes in lateral forcing and the size of the integration domain than mslp and precipitation. The sensitivity for all three variables differed between Norwegian regions; northern parts of Norway were the most sensitive. Even though the sensitivities found in this study might be different in other regions and for other RCMs, these results call for careful consideration when choosing integration domain and driving lateral boundary data when performing dynamical downscaling. |
format |
Article in Journal/Newspaper |
author |
Morten A.Ø. Køltzow Jan Erik Haugen Trond Iversen |
author_facet |
Morten A.Ø. Køltzow Jan Erik Haugen Trond Iversen |
author_sort |
Morten A.Ø. Køltzow |
title |
The Importance of Lateral Boundaries, Surface Forcing and Choice of Domain Size for Dynamical Downscaling of Global Climate Simulations |
title_short |
The Importance of Lateral Boundaries, Surface Forcing and Choice of Domain Size for Dynamical Downscaling of Global Climate Simulations |
title_full |
The Importance of Lateral Boundaries, Surface Forcing and Choice of Domain Size for Dynamical Downscaling of Global Climate Simulations |
title_fullStr |
The Importance of Lateral Boundaries, Surface Forcing and Choice of Domain Size for Dynamical Downscaling of Global Climate Simulations |
title_full_unstemmed |
The Importance of Lateral Boundaries, Surface Forcing and Choice of Domain Size for Dynamical Downscaling of Global Climate Simulations |
title_sort |
importance of lateral boundaries, surface forcing and choice of domain size for dynamical downscaling of global climate simulations |
publisher |
MDPI AG |
publishDate |
2011 |
url |
https://doi.org/10.3390/atmos2020067 https://doaj.org/article/b0ff6c23ab41477cb0176d768fc108d0 |
geographic |
Norway |
geographic_facet |
Norway |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Atmosphere, Vol 2, Iss 2, Pp 67-95 (2011) |
op_relation |
http://www.mdpi.com/2073-4433/2/2/67/ https://doaj.org/toc/2073-4433 doi:10.3390/atmos2020067 2073-4433 https://doaj.org/article/b0ff6c23ab41477cb0176d768fc108d0 |
op_doi |
https://doi.org/10.3390/atmos2020067 |
container_title |
Atmosphere |
container_volume |
2 |
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2 |
container_start_page |
67 |
op_container_end_page |
95 |
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1766195183180840960 |