• DocumentCode
    2103497
  • Title

    Validation and applications of a realtime global precipitation analysis

  • Author

    Turk, F. Joseph ; Ebert, Elizabeth E. ; Oh, Hyun-Jong ; Sohn, Byung-Ju

  • Author_Institution
    Marine Meteorol. Div., Naval Res. Lab., Monterey, CA, USA
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    705
  • Abstract
    A series of validation statistics are presented from a operational global, minimum 3-hourly updating precipitation analysis. The technique was developed at the Naval Research Laboratory (NRL) for use in numerical weather prediction (NWP) model data assimilation and now casting operations. The technique is an adaptive statistical/hybrid technique which incorporates data from all current operational infrared-based geostationary satellites and from all (currently) available low-Earth orbiting microwave-based sensors, the Special Sensor Microwave Imager (SSMI), the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI), and the Advanced Microwave Sounding Unit (AMSU-B). Knowledge of the rain estimation error statistics are needed in order to properly utilize precipitation observations in NWP variational assimilation techniques. Validation statistics are presented from comparisons with operationally supported raingauge networks in Australia and Korea in a two-dimensional fashion, where the spatial and temporal dimensions are each individually varied.
  • Keywords
    atmospheric precipitation; atmospheric techniques; rain; remote sensing; weather forecasting; 3-hourly updating; NWP; Naval Research Laboratory; adaptive method; atmosphere; data assimilation; global precipitation; measurement technique; meteorology; nowcasting; numerical model; numerical prediction; operational updating; rain; rain estimation error statistics; rainfall; real time analysis; realtime analysis; satellite remote sensing; validation; validation statistics; variational assimilation; weather forecasting; Acoustic sensors; Casting; Data assimilation; Infrared image sensors; Laboratories; Microwave sensors; Microwave theory and techniques; Predictive models; Statistical analysis; Weather forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
  • Print_ISBN
    0-7803-7536-X
  • Type

    conf

  • DOI
    10.1109/IGARSS.2002.1025625
  • Filename
    1025625