Evolving multisensor precipitation estimation methods: Their impacts on flow prediction using a distributed hydrologic model

Journal of Hydrometeorology

Volumn 12, Issue 6, 2011, Pages 1414-1431

  Kitzmiller, David ^a   Van Cooten, Suzanne ^b   Ding, Feng ^a   Howard, Kenneth ^b   Langston, Carrie ^c   Zhang, Jian ^b   Moser, Heather ^c   Zhang, Yu ^a   Gourley, Jonathan J ^b   Kim, Dongsoo ^a   Riley, David ^a  

^a NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^b NATIONAL SEVERE STORMS LABORATORY   (United States)

^c Cooperative Institute for Mesoscale Meteorological Studies ^*  (United States)

Author keywords

Hydrologic models; Radars Radar observations

Indexed keywords

ACCURACY ASSESSMENT; ALGORITHM; CLIMATE PREDICTION; ESTIMATION METHOD; FREEZING; HYDROLOGICAL MODELING; PRECIPITATION (CLIMATOLOGY); RADAR; RAINGAUGE;

NORTH CAROLINA; PAMLICO RIVER; TAR RIVER; UNITED STATES;

EID: 84863230678     PISSN: 1525755X     EISSN: None     Source Type: Journal    
DOI: 10.1175/JHM-D-10-05038.1     Document Type: Article

References (26)

1. Anderson, E. A., 1976: A point energy and mass balance model of a snow cover. NOAA Tech. Rep. 19, 150 pp. [Available from Office of Hydrologic Development, W/OHD12, 1325 East West Highway, Silver Spring, MD 20910.]
2. Burnash, R., 1995: The NWS river forecast system-Catchment model. ComputerModels of Watershed Hydrology, V. P. Singh, Ed., Water Resources Publications, 311-365.
3. Carter-Clark, D., 1997: Doing Quantitative Psychological Research: From Design to Report. Psychology Press, 665 pp.
4. Fulton, R. A., J. P. Breidenbach, D.-J. Seo, D. A. Miller, and T. O'Bannon, 1998: The WSR-88D rainfall algorithm. Wea. Forecasting, 13, 377-395.
5. Greene, D., and M. Hudlow, 1982: Hydrometeorological grid mapping procedures. Preprints, Int. Symp. on Hydrometeorology, Denver, CO, American Water Resources Association, 20 pp.
6. Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc., 77, 437-471.
7. Kitzmiller, D., and Coauthors, 2008: A comparison of evolving multisensor precipitation estimation methods based on impacts on flow prediction using a distributed hydrologic model. Preprints, 22nd Conf. on Hydrology, New Orleans, LA, Amer. Meteor. Soc., P3.4. [Available online at http://ams.confex.com/ams/pdfpapers/134451.pdf.]
8. Koren, V., S. Reed, M. Smith, Z. Zhang, and D.-J. Seo, 2004: Hydrology Laboratory ResearchModeling System (HL-RMS) of the US National Weather Service. J. Hydrol., 291, 297-318.
9. Lin, Y., and K. E. Mitchell, 2005: The NCEP stage II/IV hourly precipitation analyses: Development and applications. Preprints, 19th Conf. on Hydrology, San Diego, CA, Amer. Meteor. Soc., 1.2. [Available online at http://ams.confex.com/ams/pdfpapers/83847.pdf.]
10. Nash, J. E., and J. V. Sutcliffe, 1970: River flow forecasting through conceptual models. Part I:Adiscussion of principles. J. Hydrol., 10, 282-290.
11. Reed, S., 2003: Deriving flow directions for coarse-resolution (1-4 km) gridded hydrologic modeling. Water Resour. Res., 39, 1238, doi:10.1029/2003WR001989.
12. Reed, S., and D. R. Maidment, 1999: Coordinate transformations for using NEXRAD data in GIS-based hydrologic modeling. J. Hydrol. Eng., 4, 174-182.
13. Reed, S., J. Schaake, and Z. Zhang, 2007: A distributed hydrologic model and threshold frequency-based method for flash flood forecasting at ungauged locations. J. Hydrol., 337, 402-420.
14. Scofield, R. A., and R. J. Kuligowski, 2003: Status and outlook of operational satellite precipitation algorithms for extremeprecipitation events. Wea. Forecasting, 18, 1035-1051.
15. Seo, D.-J., 1998: Real-time estimation of rainfall fields using radar rainfall and rain gauge data. J. Hydrol., 208, 37-52.
16. Seo, D.-J., J. Breidenbach, and E. Johnson, 1999: Real-time estimation of mean field bias in radar rainfall data. J. Hydrol., 223, 131-147.
17. U.S. Geological Survey, cited 2010: National Water Information System. [Available online at http://waterdata.usgs.gov/nwisweb/data/exsa_rat/02084160.rdb.]
18. Vasiloff, S. V., and Coauthors, 2007: Improving QPE and very short term QPF: An initiative for a community-wide integrated approach. Bull. Amer. Meteor. Soc., 88, 1899-1911.
19. Ware, E. C., 2005: Corrections to radar-estimated precipitation using observed rain gauge data.M.S. thesis, CornellUniversity, 87 pp. [Available from Cornell University Library, 201 Olin Library, Cornell University, Ithaca, NY 14853-5301-5301.]
20. Wu, W., and D. H. Kitzmiller, 2009: Evaluation of radar precipitation estimates from NMQ and WSR-88D digital precipitation array products: Preliminary results. Preprints, 34th Conf. on Radar Meteorology, Williamsburg, VA, Amer. Meteor. Soc., P14.4. [Available online at http://ams.confex.com/ams/pdfpapers/155669.pdf.]
21. Xu, X., K. Howard, and J. Zhang, 2008: An automated radar technique for the identification of tropical precipitation. J. Hydrometeor., 9, 885-902.
22. Zhang, J., K. Howard, W. Xia, C. Langston, S. Wang, and Y. Qin, 2004: Three-dimensional high-resolution national radar mosaic. Preprints, 11th Conf. on Aviation, Range, and Aerospace Meteorology, Hyannis, MA, Amer. Meteor. Soc., 3.5. [Available online at http://ams.confex.com/ams/11aram22sls/techprogram/paper_81781.htm.]
23. Zhang, J., K. Howard, and S. Wang, 2006: Single radar Cartesian grid and adaptive radar mosaic system. Preprints, 12th Conf. on Aviation Range and Aerospace Meteorology, Atlanta, GA, Amer. Meteor. Soc., P1.8. [Available online at http://ams.confex.com/ams/Annual2006/techprogram/paper_103897.htm.]
24. Zhang, J., C. Langston, and K. Howard, 2008: Bright band identification based on vertical profiles of reflectivity from the WSR-88D. J. Atmos. Oceanic Technol., 25, 1859-1872.
25. Zhang, J., and Coauthors, 2011: National Mosaic and Multisensor QPE (NMQ) System-Description, results and future plans. Bull. Amer. Meteor. Soc., in press.
26. Zhang, Y., Z. Zhang, S. Reed, and V. Koren, 2011: An enhanced and automated approach for deriving a priori SAC-SMA parameters from the soil survey geographic database. Comput. Geosci., 37, 219-231.