Assimilation Experiments of MTSAT Rapid Scan Atmospheric Motion Vectors on a Heavy Rainfall Event

• OTSUKA Michiko

  Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan RIKEN Advanced Institute for Computational Science, Kobe, Japan

• KUNII Masaru

  Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan RIKEN Advanced Institute for Computational Science, Kobe, Japan

• SEKO Hiromu

  Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan RIKEN Advanced Institute for Computational Science, Kobe, Japan

• SHIMOJI Kazuki

  Meteorological Satellite Center, Japan Meteorological Agency, Kiyose, Japan

• HAYASHI Masahiro

  Meteorological Satellite Center, Japan Meteorological Agency, Kiyose, Japan

• YAMASHITA Koji

  Numerical Prediction Division, Japan Meteorological Agency, Tokyo, Japan

抄録

 Atmospheric motion vectors (AMVs) derived from 5-min rapid scan (RS) imagery of the Multi-functional Transport Satellite are expected to capture small-scale distributions of airflows better than typical AMVs derived from 30-min imagery because the observation interval of RS-AMV is shorter. The impact of these high-frequency data on the numerical forecasting of a heavy rainfall near a stationary front was investigated by conducting data assimilation experiments. As a part of preparation for the assimilation, RS-AMVs were compared with the first-guess field obtained from the Japan Meteorological Agency (JMA) nonhydrostatic model (NHM). The comparison result indicated that the RS-AMVs were of good quality and could be used in the JMA’s operational NHM with 4D variational data assimilation (JNoVA). Assimilation experiments investigating a heavy rainfall event were conducted using different lengths of assimilation time slot and time intervals of spatial thinning for the assimilation of the RS-AMV data. The assimilation of RS-AMVs caused the initial wind fields to enhance the upper-level divergence and low-level convergence around the front. Consequently, the forecast of the rainfall amount was increased near the front, and the verification scores were slightly improved over the control experiment in the early forecast hours.

収録刊行物

• 気象集誌. 第2輯

  気象集誌. 第2輯 93 (4), 459-475, 2015

  公益社団法人 日本気象学会

キーワード

• data assimilation
• satellite
• atmospheric motion vector (AMV)
• rapid scan data

詳細情報

• CRID: 1390001206504768128
• NII論文ID: 130005099043
• NII書誌ID: AA00702524
• DOI: 10.2151/jmsj.2015-030
• ISSN: 21869057
• ISSN: 00261165
• NDL書誌ID: 026693060
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I026693060
• Web Site: https://www.jstage.jst.go.jp/article/jmsj/93/4/93_2015-030/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可