| Item type |
紀要論文 / Departmental Bulletin Paper_04(1) |
| 公開日 |
2019-03-22 |
| タイトル |
|
|
タイトル |
Geostationary satellite data assimilation in mesoscale forecast systems : A review |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
geostationary satellite |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
numerical weather prediction |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
data assimilation |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
departmental bulletin paper |
| 著者 |
Otsuka, Michiko
Matsumoto, Jun
Seko, Hiromu
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
This article reviews the current status and ongoing developments in assimilating so-called next generation geostationary satellite data into mesoscale numerical weather forecast systems. While increased quality and quantity of data have brought unprecedented opportunities for data assimilation (DA) to improve initial conditions of mesoscale forecasts, taking full advantage of these high-resolution data, including cloud and precipitation affected weather observations is a challenge for current DA systems. We overview some key issues in the development of the effective utilization of geostationary satellite data in mesoscale forecasts. |
| 書誌情報 |
Geographical Reports of Tokyo Metropolitan University
号 54,
p. 1-10,
発行日 2019
|
| ISSN |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
03868710 |
| 書誌レコードID |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA00200173 |
| 著者版フラグ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 出版者 |
|
|
出版者 |
Department of Geography, Tokyo Metropolitan University |
| 資源タイプ |
|
|
内容記述タイプ |
Other |
|
内容記述 |
postprinnt |
20005-054-001.pdf (275.0 kB)
