A comparison of multi-sensor (radar and gauge) and gauge precipitation estimates at a monthly temporal resolution and a county spatial resolution was undertaken for the midwestern USA. Precipitation data were collected from February 2002 to October 2006 from two sources: (a) multi-sensor precipitation estimates (MPE) based on the stage III/IV algorithm developed by the US National Oceanic and Atmospheric Administration (NOAA), national weather service (NWS) office of hydrology and NWS river forecast centres; and (b) quality-controlled NWS cooperative rain-gauge (QC_Coop) data from the NOAA national climatic data centre (NCDC). The gauge data were employed as the reference standard. The monthly median of the percentage differences in county-averaged monthly precipitation estimated by MPE and QC_Coop in the midwestern USA, for around 750 counties, was mainly within ±12·5%, with a median percentage difference of +6%. The positive difference indicates that, overall, the MPE values tend to be smaller than the QC_Coop values. ME values more closely correspond with QC_Coop values at all latitudes in the summer months when convective precipitation is dominant, and in the winter months for latitudes where non-frozen precipitation is most prevalent.
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April 2009
Research Article|
April 01 2009
Differences in multi-sensor and rain-gauge precipitation amounts Available to Purchase
N. E. Westcott, PhD
N. E. Westcott, PhD
Research Meteorologist
Illinois State Water Survey, Institute of Natural Resource Sustainability, University of Illinois
Champaign, Illinois, USA
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Publisher: Emerald Publishing
Received:
February 05 2008
Accepted:
August 26 2008
Online ISSN: 1751-7729
Print ISSN: 1741-7589
© 2009 Thomas Telford Ltd
2009
Proceedings of the Institution of Civil Engineers - Water Management (2009) 162 (2): 73–81.
Article history
Received:
February 05 2008
Accepted:
August 26 2008
Citation
Westcott NE (2009), "Differences in multi-sensor and rain-gauge precipitation amounts". Proceedings of the Institution of Civil Engineers - Water Management, Vol. 162 No. 2 pp. 73–81, doi: https://doi.org/10.1680/wama.2009.162.2.73
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