HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Institute of Low Temperature Science >
低温科学 = Low Temperature Science >
第75巻 >

Numerical weather prediction system based on JMA-NHM for field observation campaigns on the Greenland ice sheet

Files in This Item:
11_91-104.pdf9.64 MBPDFView/Open
Please use this identifier to cite or link to this item:http://doi.org/10.14943/lowtemsci.75.91

Title: Numerical weather prediction system based on JMA-NHM for field observation campaigns on the Greenland ice sheet
Authors: Hashimoto, Akihiro Browse this author
Niwano, Masashi Browse this author
Aoki, Teruo Browse this author
Tsutaki, Shun Browse this author
Sugiyama, Shin Browse this author →KAKEN DB
Yamasaki, Tetsuhide Browse this author
Iizuka, Yoshinori Browse this author →KAKEN DB
Matoba, Sumito Browse this author →KAKEN DB
Keywords: Greenland
Weather prediction
Non-hydrostatic model
Issue Date: 31-Mar-2017
Publisher: 低温科学第75巻編集委員会
Journal Title: 低温科学
Journal Title(alt): Low Temperature Science
Volume: 75
Start Page: 91
End Page: 104
Abstract: 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.
Type: bulletin (article)
URI: http://hdl.handle.net/2115/65105
Appears in Collections:低温科学 = Low Temperature Science > 第75巻

Export metadata:

OAI-PMH ( junii2 , jpcoar )

MathJax is now OFF:


 

Feedback - Hokkaido University