Dynamical Regional Downscaling Using the JRA-55 Reanalysis (DSJRA-55)

• Kayaba Nobuyuki

  Climate Prediction Division, Japan Meteorological Agency Meteorological Research Institute, Japan Meteorological Agency

• Yamada Takashi

  Climate Prediction Division, Japan Meteorological Agency

• Hayashi Syugo

  Meteorological Research Institute, Japan Meteorological Agency

• Onogi Kazutoshi

  Climate Prediction Division, Japan Meteorological Agency

• Kobayashi Shinya

  Climate Prediction Division, Japan Meteorological Agency Meteorological Research Institute, Japan Meteorological Agency

• Yoshimoto Koichi

  Climate Prediction Division, Japan Meteorological Agency Meteorological Research Institute, Japan Meteorological Agency

• Kamiguchi Kenji

  Climate Prediction Division, Japan Meteorological Agency

• Yamashita Kazuya

  Climate Prediction Division, Japan Meteorological Agency

抄録

The Japan Meteorological Agency (JMA) completed its second global atmospheric reanalysis, the Japanese 55-year Reanalysis (JRA-55). However, the horizontal spatial resolution of JRA-55, TL319 (about 55 km), is insufficient for representing the hilly topography of the Japanese islands. Therefore, to reproduce extreme events caused by the hilly topography and their long-term climatological change in Japan, JMA has conducted a dynamical regional downscaling, called DSJRA-55, based on JMA's operational mesoscale model, which has a horizontal resolution of 5 km. DSJRA-55 receives its initial field and boundary conditions from the JRA-55 reanalysis. DSJRA-55 is historically the first products in the world that covers very long term for 55 years with very high resolution in 5 km. Furthermore, DSJRA-55 does not perform data assimilation; instead, initial field and boundary conditions are given at frequent intervals to the downscaled model and short-range forecasts are performed. Then, successive forecasts are connected continuously to create the DSJRA-55 product. In early evaluation results, DSJRA-55 was able to reproduce observed temperature and precipitation during 1958-2012. Although it showed a systematic temperature bias in some regions and seasons and it underestimated the frequencies of heavy-rain days and heavy-rain hours, DSJRA-55 reproduced the overall distribution of orographic precipitation well. DSJRA-55 is therefore expected to be useful for analyzing past extreme events and for statistical studies of long-term climate.

収録刊行物

• SOLA

  SOLA 12 (0), 1-5, 2016

  公益社団法人 日本気象学会

キーワード

• Atmospheric Science

詳細情報

• CRID: 1390001205221280256
• NII論文ID: 130005120981
• DOI: 10.2151/sola.2016-001
• ISSN: 13496476
• ISSN: http://id.crossref.org/issn/13496476
• Web Site: https://www.jstage.jst.go.jp/article/sola/12/0/12_2016-001/_pdf
• 本文言語コード: en
• データソース種別:
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  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可