• DocumentCode
    512918
  • Title

    A long-term trend observed in TRMM/PR monthly rainfall products and an evaluation of sampling error by a bootstrap method

  • Author

    Iida, Yasuhisa ; Kubota, Takuji ; Iguchi, Toshio ; Oki, Riko

  • Author_Institution
    Earth Obs. Res. Center, JAXA, Tsukuba, Japan
  • Volume
    1
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    This study examines the trend in the 7-year monthly rainfall amounts (September 2001-August 2008) observed by the TRMM Precipitation Radar (PR). It is shown that the monthly rainfall amounts averaged in the range of 35°S to 35°N (PR observation range) tend to increase slightly over this period. This tendency can be considered to be affected by sampling errors due to the narrow observation swaths of the PR, in addition to natural variations. Therefore, this study developed the method of evaluating the sampling errors by a bootstrap method using the actual data observed by the PR. We examined the trend in the averaged rainfall amounts during 7 years considering the simulated sampling errors. As a result, the positive trend was significantly detected, even when sampling error was removed. From this, it can be concluded that this positive trend is highly likely to be due to natural variations.
  • Keywords
    atmospheric techniques; hydrological techniques; meteorology; rain; remote sensing by radar; statistical analysis; AD 2001 09 to 2008 08; TRMM Precipitation Radar; TRMM-PR monthly rainfall products; bootstrap method; rainfall long term trend; sampling error evaluation; Earth; Infrared image sensors; Instruments; Oceans; Radar detection; Rain; Sampling methods; Satellites; Sea surface; Spaceborne radar; TRMM Precipitation Radar; bootstrap; rainfall; sampling error; trend detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5416892
  • Filename
    5416892