Forecasting maximum and minimum temperatures by statistical interpretation of numerical weather prediction model output

Weather and Forecasting

Volumn 18, Issue 5, 2003, Pages 938-952

  Maini, Parvinder ^a   Kumar, Ashok ^a   Rathore, L S ^a   Singh, S V ^a  

^a DEPARTMENT OF SCIENCE AND TECHNOLOGY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; STATISTICAL METHODS; SURFACE PROPERTIES; TEMPERATURE MEASUREMENT;

TEMPERATURE FORECASTS;

WEATHER FORECASTING;

ACCURACY ASSESSMENT; AIR TEMPERATURE; FORECASTING METHOD; NUMERICAL MODEL; WEATHER FORECASTING;

INDIA;

EID: 0345330041     PISSN: 08828156     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0434(2003)018<0938:FMAMTB>2.0.CO;2     Document Type: Article

References (16)

1. Carter, G. M., 1986: Moving towards a more responsive statistical guidance system. Preprints, 11th Conf. on Weather Forecasting and Analysis, Kansas City, MO, Amer. Meteor. Soc., 39-45.
2. Glahn, H. R., and D. A. Lowry, 1972: The use of model output statistics (MOS) in objective weather forecasting. J. Appl. Meteor., 11, 1203-1211.
3. Glahn, H. R., A. H. Murphy, L. J. Wilson, and J. S. Jensenius Jr., 1991: Interpretation and verification for nonprobabilistic forecasts. Lectures, WMO Training Workshop on Interpretation of NWP Products in Terms of Local Weather Phenomena and Their Verification, Wageningen, Netherlands, AREP/RDP/PTD, PSMP 34, WMO/TD 421, XI91-XI925.
4. Jacks, E., J. B. Bower, V. J. Dagostro, J. P. Dallavalle, M. C. Erickson, and J. C. Su, 1990: New NGM-based MOS guidance for maximum/minimum temperature, probability of precipitation, cloud amount, and sea surface wind. Wea. Forecasting, 5, 128-138.
5. Klien, W. H., B. M. Lewis, and I. Enger, 1959: Objective prediction of 5-day mean temperature during winter. J. Meteor., 16, 672-682.
6. Kumar, A., P. Maini, and S. V. Singh, 1999: An operational model for forecasting probability of precipitation and yes/no forecast. Wea. Forecasting, 14, 38-48.
7. Kumar, A., P. Maini, L. S. Rathore, and S. V. Singh, 2000: An operational medium range local weather forecasting system developed in India. Int. J. Climatol., 20, 73-87.
8. Maini, P., A. Kumar, S. V. Singh, and L. S. Rathore, 2002: Statistical interpretation of NWP products in India. Meteor. Appl., 9, 21-31.
9. Murphy, A. H., and R. W. Katz, 1985: Probability, Statistics, and Decision Making in the Atmospheric Sciences. Westview Press, 545 pp.
10. Murphy, A. H., and R. L. Winkler, 1987: A general framework for forecast verification. Mon. Wea. Rev., 115, 1330-1338.
11. Murphy, A. H., G. B. Barbara, and Y.-S. Chen, 1989: Diagnostic verification of temperature forecasts. Wea. Forecasting. 4, 485-501.
12. Rousseau, D., 1982: Work on the statistical adaptation for local forecasts in France. Proc. Workshop on Statistical Interpretation of Numerical Weather Prediction Products, Reading, United Kingdom, ECMWF, 395-415.
13. Stensrud, D. J., and J. A. Skindlov, 1996: Gridpoint predictions of high temperature from a mesoscale model. Wea. Forecasting, 11, 103-110.
14. Tapp, R. G., F. Woodcock, and G. A. Mills, 1986: Application of MOS to precipitation prediction in Australia. Mon. Wea. Rev., 114, 50-61.
15. Wilks, D. S., 1995: Statistical Methods in the Atmospheric Sciences. An Introduction. Academic Press, 467 pp.
16. Wilson, L. J., and M. Valĺee, 2002: The Canadian Updateable Model Output Statistics (UMOS) system: Design and development tests. Wea. Forecasting, 17, 206-222.