Relationship of flagging frequency to confidence intervals in the statistical regression approach for automated quality control of Tmax and Tmin

International Journal of Climatology

Volumn 27, Issue 9, 2007, Pages 1257-1263

  You, Jinsheng ^a   Hubbard, Kenneth G ^a  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Inverse distance weighting; Quality control; RMSE; Spatial regression test; Weather data

Indexed keywords

AUTOMATIC QUALITY ASSURANCE; INVERSE DISTANCE WEIGHTING; SPATIAL REGRESSION TEST (SRT);

CLIMATE CHANGE; CLIMATOLOGY; QUALITY CONTROL; REGRESSION ANALYSIS; STATISTICS;

WEATHER FORECASTING;

DATA ACQUISITION; QUALITY CONTROL; REGRESSION ANALYSIS; STATISTICAL ANALYSIS; WEATHER FORECASTING;

EID: 34447617563     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.1484     Document Type: Article

References (17)

1. Barnett V, Lewis T. 1994. Outliers in Statistical Data, 3rd edn. Wiley and Sons: New York; 584.
2. Belcher BN, DeGaetano AT. 2005. A method to infer time of observation at US Cooperative Observer Network stations using model analyses. International Journal of Climatology 25(9): 1237-1251.
3. Eischeid JK, Baker CB, Karl T, Diaz HF. 1995. The quality control of long-term climatological data using objective data analysis. Journal of Applied Meteorology 34: 2787-2795.
4. Gandin LS. 1988. Complex quality control of meteorological observations. Monthly Weather Review 116: 1137-1156.
5. Guttman NV, Quayle RG. 1990. A review of cooperative temperature data validation. Journal of Atmospheric and Oceanic Technology 7: 334-339.
6. Hubbard KG. 2001. The Nebraska and High Plains Regional experience with automated weather stations. Automated Weather Station for Application in Agriculture and Water Resources Management. High Plains Regional Climate Center: Lincoln, NE, AGM-3 WMO/TD No. 1074; 248.
7. Hubbard KG, You J. 2005. Sensitivity analysis of quality assurance using spatial regression approach - a case study of the maximum/minimum air temperature. Journal of Atmospheric and Oceanic Technology 22(10): 1520-1530.
8. Hubbard KG, DeGaetano AT, Robbins KD. 2004. Announcing a modern applied climatic information system (ACIS). Bulletin of the American Meteorological Society 85(6): 811-812.
9. Hubbard KG, Goddard S, Sorensen WD, Wells N, Osugi TT. 2005. Performance of quality assurance procedures for an applied climate information system. Journal of Atmospheric and Oceanic Technology 22: 105-112.
10. Meek DW, Hatfield JL. 1994. Data quality checking for single station meteorological databases. Agricultural and Forest Meteorology 69: 85-109.
11. National Weather Service. 2000. Cooperative Observer Program (COOP). National Weather Service, Silver Spring, MD. (www.nws.noaa.gov/om/coop/Publications/coop.PDF).
12. Nash JE, Sutcliffe JV. 1970. River flow forecasting through conceptual models. Journal of Hydrology 10: 282-290.
13. Reek T, Doty SR, Owen TW. 1992. A deterministic approach to the validation of historical daily temperature and precipitation data from the Cooperative Network. Bulletin of the American Meteorological Society 73: 753-762.
14. Shafer MA, Fiebrich CA, Arndt DS, Fredrickson SE, Hughes TW. 2000. Quality assurance procedures in the Oklahoma mesonetwork. Journal of Atmospheric and Oceanic Technology 17: 474-494.
15. Wade CG. 1987. A quality control program for surface mesometeorological data. Journal of Atmospheric and Oceanic Technology 4: 435-453.
16. Wu H, Hubbard KG, You J. 2005. Some concerns when using national weather service's daily surface observations: a Nebraska case study. Journal of Atmospheric and Oceanic Technology 22: 592-602.
17. You J, Hubbard KG. 2006. Quality control of weather data during extreme events. Journal of Atmospheric and Oceanic Technology 23(2): 184-197.