Numerical weather prediction system based on JMA-NHM for field observation campaigns on the Greenland ice sheet
As part of a research project titled, “Snow Impurity and Glacial Microbe effects on abrupt warming in the Arctic” (SIGMA), numerous observation campaigns were conducted on the Greenland ice sheet (GrIS) from FY2011 to FY2015. To support research activities in the field, the Japan Meteorological Agen...
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Online Access: | http://hdl.handle.net/2115/65105 https://doi.org/10.14943/lowtemsci.75.91 |
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fthokunivhus:oai:eprints.lib.hokudai.ac.jp:2115/65105 2023-05-15T15:06:09+02:00 Numerical weather prediction system based on JMA-NHM for field observation campaigns on the Greenland ice sheet Hashimoto, Akihiro Niwano, Masashi Aoki, Teruo Tsutaki, Shun Sugiyama, Shin Yamasaki, Tetsuhide Iizuka, Yoshinori Matoba, Sumito http://hdl.handle.net/2115/65105 https://doi.org/10.14943/lowtemsci.75.91 eng eng 低温科学第75巻編集委員会 http://hdl.handle.net/2115/65105 doi:10.14943/lowtemsci.75.91 低温科学, 75: 91-104 Greenland Weather prediction Non-hydrostatic model bulletin (article) fthokunivhus https://doi.org/10.14943/lowtemsci.75.91 2022-11-18T01:04:10Z As part of a research project titled, “Snow Impurity and Glacial Microbe effects on abrupt warming in the Arctic” (SIGMA), numerous observation campaigns were conducted on the Greenland ice sheet (GrIS) from FY2011 to FY2015. To support research activities in the field, the Japan Meteorological Agency Non-Hydrostatic Model (JMA-NHM) was applied to form a numerical weather prediction system covering all of Greenland. Before executing our numerical simulation using this model, however, we modified the model to better represent the meteorological processes over the GrIS, since the original model was adjusted to fit mid-latitude environments. Using our modified model, we performed numerical weather prediction twice per day such that expedition crews in the field could access the resulting prediction information in the morning and evening, which helped them plan and execute their daily missions. Further, we improved our model during these campaigns by referencing the daily reports obtained from the observation site on the GrIS. In this paper, we describe our weather prediction system and evaluate its performance in reference to surface meteorological observation data. Article in Journal/Newspaper Arctic Greenland Ice Sheet Hokkaido University Collection of Scholarly and Academic Papers (HUSCAP) Arctic Greenland |
institution |
Open Polar |
collection |
Hokkaido University Collection of Scholarly and Academic Papers (HUSCAP) |
op_collection_id |
fthokunivhus |
language |
English |
topic |
Greenland Weather prediction Non-hydrostatic model |
spellingShingle |
Greenland Weather prediction Non-hydrostatic model Hashimoto, Akihiro Niwano, Masashi Aoki, Teruo Tsutaki, Shun Sugiyama, Shin Yamasaki, Tetsuhide Iizuka, Yoshinori Matoba, Sumito Numerical weather prediction system based on JMA-NHM for field observation campaigns on the Greenland ice sheet |
topic_facet |
Greenland Weather prediction Non-hydrostatic model |
description |
As part of a research project titled, “Snow Impurity and Glacial Microbe effects on abrupt warming in the Arctic” (SIGMA), numerous observation campaigns were conducted on the Greenland ice sheet (GrIS) from FY2011 to FY2015. To support research activities in the field, the Japan Meteorological Agency Non-Hydrostatic Model (JMA-NHM) was applied to form a numerical weather prediction system covering all of Greenland. Before executing our numerical simulation using this model, however, we modified the model to better represent the meteorological processes over the GrIS, since the original model was adjusted to fit mid-latitude environments. Using our modified model, we performed numerical weather prediction twice per day such that expedition crews in the field could access the resulting prediction information in the morning and evening, which helped them plan and execute their daily missions. Further, we improved our model during these campaigns by referencing the daily reports obtained from the observation site on the GrIS. In this paper, we describe our weather prediction system and evaluate its performance in reference to surface meteorological observation data. |
format |
Article in Journal/Newspaper |
author |
Hashimoto, Akihiro Niwano, Masashi Aoki, Teruo Tsutaki, Shun Sugiyama, Shin Yamasaki, Tetsuhide Iizuka, Yoshinori Matoba, Sumito |
author_facet |
Hashimoto, Akihiro Niwano, Masashi Aoki, Teruo Tsutaki, Shun Sugiyama, Shin Yamasaki, Tetsuhide Iizuka, Yoshinori Matoba, Sumito |
author_sort |
Hashimoto, Akihiro |
title |
Numerical weather prediction system based on JMA-NHM for field observation campaigns on the Greenland ice sheet |
title_short |
Numerical weather prediction system based on JMA-NHM for field observation campaigns on the Greenland ice sheet |
title_full |
Numerical weather prediction system based on JMA-NHM for field observation campaigns on the Greenland ice sheet |
title_fullStr |
Numerical weather prediction system based on JMA-NHM for field observation campaigns on the Greenland ice sheet |
title_full_unstemmed |
Numerical weather prediction system based on JMA-NHM for field observation campaigns on the Greenland ice sheet |
title_sort |
numerical weather prediction system based on jma-nhm for field observation campaigns on the greenland ice sheet |
publisher |
低温科学第75巻編集委員会 |
url |
http://hdl.handle.net/2115/65105 https://doi.org/10.14943/lowtemsci.75.91 |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Arctic Greenland Ice Sheet |
genre_facet |
Arctic Greenland Ice Sheet |
op_relation |
http://hdl.handle.net/2115/65105 doi:10.14943/lowtemsci.75.91 低温科学, 75: 91-104 |
op_doi |
https://doi.org/10.14943/lowtemsci.75.91 |
_version_ |
1766337800684175360 |