• DocumentCode
    87128
  • Title

    Mapping the Precipitation Type Distribution Over the Contiguous United States Using NOAA/NSSL National Multi-Sensor Mosaic QPE

  • Author

    Sheng Chen ; Jian Zhang ; Mullens, Esther ; Yang Hong ; Behrangi, Ali ; Yudong Tian ; Xiao-Ming Hu ; Junjun Hu ; Zengxin Zhang ; Xinhua Zhang

  • Author_Institution
    State Key Labaratory of Desert & Oasis Ecology, Xinjiang Inst. of Ecology & Geogr., Urumqi, China
  • Volume
    53
  • Issue
    8
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    4434
  • Lastpage
    4443
  • Abstract
    Understanding the Earth´s energy cycle and water balance requires an understanding of the distribution of precipitation types and their total equivalent water budget estimation. The fine distribution of precipitation types over the contiguous United States (CONUS) is not yet well understood due to either unavailability or coarse resolution of previous satellite- and ground radar-based precipitation products that have difficulty in classifying precipitation. The newly available NOAA/National Severe Storms Laboratory ground radar network-based National Multi-Sensor Mosaic QPE (NMQ/Q2) System has provided precipitation rates and types at unprecedented high spatiotemporal resolution. Here, four years of 1 km/5 min observations derived from the NMQ are used to probe spatiotemporal distribution and characteristics of precipitation types (stratiform, convective, snow, tropical/warm (T/W), and hail) over CONUS, resulting in assessment of occurrence and volume contribution for these precipitation types through the four-year period, including seasonal distributions, with some radar coverage artifacts. These maps in general highlight the snow distribution over northwestern and northern CONUS, convective distribution over southwestern and central CONUS, hail distribution over central CONUS, and T/W distribution over southeastern CONUS. The total occurrences (contribution of total rain amount/volume) of these types are 72.88% (53.91%) for stratiform, 21.15% (7.64%) for snow, 2.95% (19.31%) for T/W, 2.77% (14.03%) for convective, and 0.24% (5.11%) for hail. This paper makes it possible to prototype a near seamless high-resolution reference for evaluating satellite swath-based precipitation type retrievals and also a potentially useful forcing database for energy-water balance budgeting and hydrological prediction for the United States.
  • Keywords
    atmospheric precipitation; remote sensing by radar; Earth energy cycle; Earth water balance; NOAA NSSL National Multi-Sensor Mosaic QPE; National Severe Storms Laboratory; contiguous United States; convective precipitation; ground radar network; hail; precipitation type distribution mapping; prototype; snow; stratiform precipitation; total equivalent water budget estimation; tropical-warm precipitation; Educational institutions; Laboratories; Snow; Spaceborne radar; Storms; US Government agencies; Radar; snow;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2015.2399015
  • Filename
    7054506