SENSITIVITY EXPERIMETNS FOR CLOUD BOTTOM HEIGHT IN CLOUD MICROPHYSICS SATELLITE DATA ASSIMILATION TECHNIQUE

• TANIGUCHI Kenji

  Faculty of Environmental Design, Kanazawa University

• KOIKE Toshio

  School of Engineering, The University of Tokyo

Bibliographic Information

Other Title

• 雲微物理衛星データ同化手法における雲底高度の影響

Abstract

Cloud Microphysics Data Assimilation System (CMDAS) was developed to improve water vapor and cloud liquid water content in numerical weather prediction model by assimilating brightness temperature data observed by satellite-mounted microwave radiometer. In the optimization scheme in CMDAS, cloud bottom height (CBH) information is used to define vertical profiles of water vapor and cloud liquid water content which are necessary in a microphysics parameterization scheme. Cloud bottom height varies with atmospheric conditions, however, a constant value is used in CMDAS. In this study, effects of different CBHs on assimilation and numerical weather prediction with assimilated initial conditions are examined.

Journal

• Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)

  Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 69 (4), I_313-I_318, 2013

  Japan Society of Civil Engineers

Keywords

• data assimilation
• numerical weather prediction
• satellite observation
• precipitation
• cloud bottom height

Details

• CRID: 1390001205352051584
• NII Article ID: 130004558273
• DOI: 10.2208/jscejhe.69.i_313
• ISSN: 2185467X
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed