A method to infer time of observation at US Cooperative Observer Network stations using model analyses

International Journal of Climatology

Volumn 25, Issue 9, 2005, Pages 1237-1251

  Belcher, Brian N ^a   Degaetano, Arthur T ^a  

^a Department of Obstetrics Gynecology   (United States)

Author keywords

Bias; Cooperative Observer Network; Daily temperature; Metadata; Observation time; Rapid update cycle

Indexed keywords

ATMOSPHERIC TEMPERATURE; MATHEMATICAL MODELS; REAL TIME SYSTEMS;

MODEL TEMPERATURES; OBSERVER NETWORK STATIONS; TIME SCALES;

CLIMATOLOGY;

WEATHER STATION;

EID: 23044443666     PISSN: 08998418     EISSN: None     Source Type: Journal    
DOI: 10.1002/joc.1183     Document Type: Article

References (13)

1. Andsager K, Kunkel KE. 2002. Estimated observation times for cooperative stations. In Preprints, 13th Conference On Applied Climatology, Portland, OR. American Meteorological Society: 47-48.
2. Baker DG. 1975. Effect of observation time on mean temperature estimation. Journal of Applied Meteorology 14: 471-476.
3. Belcher BN, DeGaetano AT. 2003. A method for operational detection of daily observation-time changes. J. Appl. Meteor. 42: 1823-1836.
4. Benjamin SG, Brown JM, Brundage KJ, Dévényi D, Grell GA, Kim D, Schwartz BE, Smirnova TG, Smith TL, Weygandt S, Manikin GS. 2002. RUC20 - the 20-km version of the rapid update cycle. NWS Technical Procedures Bulletin No. 490. National Oceanic and Atmospheric Administration, US Department of Commerce.
5. Blackburn T. 1983. A practical method of correcting monthly average temperature biases resulting from differing times of observation. Journal of Climate and Applied Meteorology 22: 328-330.
6. DeGaetano AT. 1999. A method to infer observation time based on day-to-day temperature variations. Journal of Climate 12: 3443-3456.
7. DeGaetano AT. 2000. A serially complete simulated observation time metadata file for U.S. Daily Historical Climatology Network stations. Bulletin of the American Meteorological Society 81: 49-67.
8. DeGaetano AT, Knapp WW. 1993. Standardization of weekly growing degree day accumulations based on differences in temperature observation time and method. Agricultural and Forest Meteorology 66: 1-19.
9. Janis MJ. 2002. Observation-time-dependent biases and departures for daily minimum and maximum air temperatures. Journal of Applied Meteorology 41: 588-603.
10. Karl TR, Williams Jr CN, Young PM, Wendland WM. 1986. A model to estimate the time of observation bias associated with monthly mean maximum, minimum, and mean temperatures for the United States. Journal of Climate and Applied Meteorology 25: 145-160.
11. Mesinger F, DiMego G, Kalnay E, Shafran P, Ebisuzaki W, Jovic D, Woollen J, Mitchell K, Rogers E, Ek M, Fan AY, Grumbine R, Higgins W, Li H, Lin Y, Manikin G, Parrish D, Shi W. 2004. North American regional reanalysis. In 15th Symposium on Global Change and Climate Variations, Seattle, WA, 11-15 January.
12. Nuss WA, Titley DW. 1994. Use of multiquadric interpolation for meteorological objective analysis. Monthly Weather Review 122: 1611-1631.
13. Wilks DS. 1995. Statistical Methods in the Atmospheric Sciences. Academic Press.