Performance of quality assurance procedures on daily precipitation

Journal of Atmospheric and Oceanic Technology

Volumn 24, Issue 5, 2007, Pages 821-834

  You, Jinsheng ^a   Hubbard, Kenneth G ^a   Nadarajah, Saralees ^a   Kunkel, Kenneth E ^b  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^b ILLINOIS STATE WATER SURVEY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; NORMAL DISTRIBUTION; QUALITY ASSURANCE; REGRESSION ANALYSIS; WEATHER FORECASTING;

APPLIED CLIMATIC INFORMATION SYSTEM; MULTIPLE INTERVALS GAMMA DISTRIBUTION; PRECIPITATION QUALITY CONTROL;

PRECIPITATION (METEOROLOGY);

DATA PROCESSING; NORMAL DISTRIBUTION; PRECIPITATION (METEOROLOGY); QUALITY ASSURANCE; REGRESSION ANALYSIS; WEATHER FORECASTING;

DATA SET; INFORMATION SYSTEM; PRECIPITATION QUALITY; PROBABILITY; REGRESSION ANALYSIS; SPATIAL VARIATION; TEMPORAL VARIATION;

EID: 34250307642     PISSN: 07390572     EISSN: None     Source Type: Journal    
DOI: 10.1175/JTECH2002.1     Document Type: Article

References (19)

1. Eischeid, J. K., C. B. Baker, T. Karl, and H. F. Diaz, 1995: The quality control of long-term climatological data using objective data analysis. J. Appl. Meteor., 34, 2787-2795.
2. Evans, M., N. Hastings, and B. Peacock, 2000: Statistical Distributions. 3d ed. John Wiley and Sons, 221 pp.
3. Gandin, L. S., 1988: Complex quality control of meteorological observations. Mon. Wea. Rev., 116, 1137-1156.
4. Guttman, N. V., and R. G. Quayle, 1990: A review of cooperative temperature data validation. J. Atmos. Oceanic Technol., 7, 334-339.
5. Hubbard, K. G., 2001: Multiple station quality control procedures. Automated Weather Stations for Applications in Agriculture and Water Resources Management, AGM-3 WMO/TD No. 1074,133-136.
6. Hubbard, K. G., A. T. DeGaetano, and K. D. Robbins, 2004: Announcing a Modern Applied Climatic Information System (ACIS). Bull. Amer. Meteor. Soc., 85, 811-812.
7. Hubbard, K. G., S. Goddard, W. D. Sorensen, N. Wells, and T. T. Osugi, 2005: Performance of quality assurance procedures for an applied climate information system. J. Atmos. Oceanic Technol., 22, 105-112.
8. Ihaka, R., and R. Gentleman, 1996: R: A language for data analysis and graphics. J. Comput. Graphical Stat., 5, 299-314.
9. Johnson, N. L., S. Kotz, and N. Balakrishnan, 1994: Continuous Univariate Distributions. 2d ed. Vol. 1, John Wiley and Sons, 784 pp.
10. Johnson, N. L., S. Kotz, and N. Balakrishnan 1995: Continuous Univariate Distributions. 2d ed. Vol. 2, John Wiley and Sons, 752 pp.
11. Kunkel, K. E., D. R. Easterling, K. Hubbard, K. Redmond, K. Andsager, M. C. Kruk, and M. L. Spinar, 2005: Quality control of pre-1948 cooperative network observer data. J. Atmos. Oceanic Technol., 22, 1691-1705.
12. Martinez, J. E., C. A. Fiebrich, and M. A. Shafer, 2004: The value of a quality assurance meteorologist. Preprints, 14th Conf. on Applied Climatology, Seattle, WA, Amer. Meteor. Soc., CD-ROM, 7.4.
13. Meek, D. W., and J. L. Hatfield, 1994: Data quality checking for single station meteorological databases. Agric. For. Meteor., 69, 85-109.
14. National Weather Service, 1987: Cooperative program management. Weather Service Operations Manual B-17 (revised), National Oceanic and Atmospheric Administration, Silver Spring, MD, 50 pp.
15. Reek, T., S. R. Doty, and T. W. Owen, 1992: A deterministic approach to the validation of historical daily temperature and precipitation data from the cooperative network. Bull. Amer. Meteor. Soc., 73, 753-765.
16. Shafer, M. A., C. A. Fiebrich, D. S. Arndt, S. E. Fredrickson, and T. W. Hughes, 2000: Quality assurance procedures in the Oklahoma mesonetwork. J. Atmos. Oceanic Technol., 17, 474-494.
17. Wade, C. G., 1987: A quality control program for surface mesometeorological data. J. Atmos. Oceanic Technol., 4, 435-453.
18. Westphal, K. S., R. M. Vogel, P. Kirshen, and S. C. Chapra, 2003 Decision support system for adaptive water supply management. J. Water Resour. Plann. Manage., 129, 165-177.
19. You, J., and K. G. Hubbard, 2006: Quality control of weather data during extreme events. J. Atmos. Oceanic Technol., 23, 184-197.