• DocumentCode
    3324451
  • Title

    CASA dual-doppler system

  • Author

    Chandrasekar, V. ; Martinez, Matthew ; Zhang, Sean

  • Author_Institution
    Colorado State Univ., Fort Collins, CO, USA
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    4138
  • Lastpage
    4141
  • Abstract
    Conventional radar networks are limited at warning against low-altitude wind hazards such as tornadoes and micro-bursts due to the combined effects of their long range, far spacing, and Earth´s curvature. The Collaborative Adaptive Sensing of the Atmosphere (CASA) Engineering Research Center aims to solve these limitations through dual-Doppler systems operating in densely-spaced short range radar networks. The CASA test bed radar network incorporate the Distributed Collaborative Adaptive Sensing (DCAS) model in order to optimize scanning and retrieval for fast Doppler wind field products. Under the DCAS environment, fast coordinated sector scans are made by each radar based on weather detection and competitive end-user needs. The retrieval subsystem then makes the best pair selection for dual-Doppler synthesis based on optimal beam-crossing angles for target areas. Together, they create a fast, accurate, and robust dual-Doppler system suitable for weather emergency warnings.
  • Keywords
    Doppler radar; meteorological radar; storms; weather forecasting; CASA dual-Doppler system; DCAS model; Doppler wind field product; Earth curvature; collaborative adaptive sensing of the atmosphere; densely-spaced short range radar network; distributed collaborative adaptive sensing; dual-Doppler synthesis; low-altitude wind hazard; optimal beam-crossing angle; retrieval subsystem; tornado; weather detection; weather emergency warning; weather radar; Doppler radar; Reflectivity; Sensors; Tornadoes; Wind; CASA; Doppler; wind retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5650954
  • Filename
    5650954