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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Main Authors: Hashimoto, Akihiro, Niwano, Masashi, Aoki, Teruo, Tsutaki, Shun, Sugiyama, Shin, Yamasaki, Tetsuhide, Iizuka, Yoshinori, Matoba, Sumito
Format: Article in Journal/Newspaper
Language:English
Published: 低温科学第75巻編集委員会
Subjects:
Online Access:http://hdl.handle.net/2115/65105
https://doi.org/10.14943/lowtemsci.75.91
id fthokunivhus:oai:eprints.lib.hokudai.ac.jp:2115/65105
record_format openpolar
spelling 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
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