• DocumentCode
    2055325
  • Title

    Simulation of TRMM observation using Radar-AMeDAS composites

  • Author

    Sumi, Akimasa ; Oki, Riko

  • Author_Institution
    Center for Climate Syst. Res., Tokyo Univ., Japan
  • fYear
    1993
  • fDate
    18-21 Aug 1993
  • Firstpage
    623
  • Abstract
    Sampling errors of rainfall estimates due to TRMM (Tropical Rainfall Measuring Mission) satellite is estimated by using Radar-AMeDAS (Automatic Meteorological Data Acquisition System) rainfall data around Japan, which is a composite radar-rainfall estimate validated by dense surface rain gauge network(AMeDAS). In this study, sampling of monthly rainfall errors were estimated over 5°×5° domain by using a 43 months´s time-series of Radar-AMeDAS data, and it is concluded that the sampling error around Japan is about 16% when TRMM Microwave Imager (TMI) and TRMM Precipitation Radar(PR) can be used and about 20% when only PR can be available. Obtained results were relatively larger than the previous studies, because it is based on long term real data around Japan. There are seasonal differences of sampling errors in Japan. The errors are smaller in summer rainy season than in winter. The dependency on averaged area size is also investigated
  • Keywords
    atmospheric techniques; geophysical techniques; rain; remote sensing; remote sensing by radar; Japan; Radar-AMeDAS; TRMM; atmosphere; measurement technique; radar remote sensing satellite; rain; rainfall; sampling error; Extraterrestrial measurements; Image sampling; Instruments; Meteorological radar; Meteorology; Rain; Sampling methods; Satellites; Spaceborne radar; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
  • Conference_Location
    Tokyo
  • Print_ISBN
    0-7803-1240-6
  • Type

    conf

  • DOI
    10.1109/IGARSS.1993.322256
  • Filename
    322256