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    Multiple-Timescale Intercomparison of Two Radar Products and Rain Gauge Observations over the Arkansas–Red River Basin

    Source: Weather and Forecasting:;2003:;volume( 018 ):;issue: 006::page 1207
    Author:
    Grassotti, Christopher
    ,
    Hoffman, Ross N.
    ,
    Vivoni, Enrique R.
    ,
    Entekhabi, Dara
    DOI: 10.1175/1520-0434(2003)018<1207:MIOTRP>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A detailed intercomparison was performed for the period January 1998?June 1999 of three different sets of rainfall observations over the watershed covered by the National Weather Service Arkansas?Red Basin River Forecast Center (ABRFC). The rainfall datasets were 1) hourly 4-km-resolution ABRFC-produced P1 estimates, 2) 15-min 2-km resolution NOWrad estimates produced and marketed by Weather Services International Corporation (WSI), and 3) conventional hourly rain gauge observations available from the operational observing network. Precipitation estimates from the three products were compared at monthly, daily, and hourly timescales for the Arkansas?Red River basin and the Illinois River basin. Results indicate that the P1 products had a higher correlation and smaller bias relative to rain gauges than did the WSI products. The fact that the P1 estimates are bias corrected using gauges themselves makes an independent assessment difficult. WSI monthly accumulations seemed to overestimate (underestimate) total rainfall relative to gauges during the warm (cold) season. WSI and P1 estimates had very good agreement overall with correlation coefficients of daily accumulations generally greater than 0.7. The P1 hourly estimates were characterized by a large proportion of extremely light rainfall rates (less than 2 mm h?1). This is likely due to the P1 bias correction algorithm's use of sparse gauge data during low-level stratiform precipitation events. Finally, analyses of mean areal precipitation, fractional coverage, and storm total rainfall for the Illinois River basin demonstrate the potential impact of these rainfall products on hydrologic models that use these precipitation estimates as meteorological forcing.
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      Multiple-Timescale Intercomparison of Two Radar Products and Rain Gauge Observations over the Arkansas–Red River Basin

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4171423
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    • Weather and Forecasting

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    contributor authorGrassotti, Christopher
    contributor authorHoffman, Ross N.
    contributor authorVivoni, Enrique R.
    contributor authorEntekhabi, Dara
    date accessioned2017-06-09T15:04:42Z
    date available2017-06-09T15:04:42Z
    date copyright2003/12/01
    date issued2003
    identifier issn0882-8156
    identifier otherams-3372.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4171423
    description abstractA detailed intercomparison was performed for the period January 1998?June 1999 of three different sets of rainfall observations over the watershed covered by the National Weather Service Arkansas?Red Basin River Forecast Center (ABRFC). The rainfall datasets were 1) hourly 4-km-resolution ABRFC-produced P1 estimates, 2) 15-min 2-km resolution NOWrad estimates produced and marketed by Weather Services International Corporation (WSI), and 3) conventional hourly rain gauge observations available from the operational observing network. Precipitation estimates from the three products were compared at monthly, daily, and hourly timescales for the Arkansas?Red River basin and the Illinois River basin. Results indicate that the P1 products had a higher correlation and smaller bias relative to rain gauges than did the WSI products. The fact that the P1 estimates are bias corrected using gauges themselves makes an independent assessment difficult. WSI monthly accumulations seemed to overestimate (underestimate) total rainfall relative to gauges during the warm (cold) season. WSI and P1 estimates had very good agreement overall with correlation coefficients of daily accumulations generally greater than 0.7. The P1 hourly estimates were characterized by a large proportion of extremely light rainfall rates (less than 2 mm h?1). This is likely due to the P1 bias correction algorithm's use of sparse gauge data during low-level stratiform precipitation events. Finally, analyses of mean areal precipitation, fractional coverage, and storm total rainfall for the Illinois River basin demonstrate the potential impact of these rainfall products on hydrologic models that use these precipitation estimates as meteorological forcing.
    publisherAmerican Meteorological Society
    titleMultiple-Timescale Intercomparison of Two Radar Products and Rain Gauge Observations over the Arkansas–Red River Basin
    typeJournal Paper
    journal volume18
    journal issue6
    journal titleWeather and Forecasting
    identifier doi10.1175/1520-0434(2003)018<1207:MIOTRP>2.0.CO;2
    journal fristpage1207
    journal lastpage1229
    treeWeather and Forecasting:;2003:;volume( 018 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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