A Gaussian mixture model approach to forecast verification

Weather and Forecasting

Volumn 25, Issue 3, 2010, Pages 908-920

  Lakshmanan, Valliappa ^a,b   Kain, John S ^b  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b NATIONAL SEVERE STORMS LABORATORY   (United States)

Author keywords

Forecast verification; Model evaluation performance

Indexed keywords

BROKEN DOWN; DATA SETS; FILTERING METHOD; GAUSSIAN MIXTURE MODEL; HIGH RESOLUTION; MIXTURE OF GAUSSIANS; NEW APPROACHES; OBJECT-BASED METHODS; OBJECTS-BASED; THRESHOLDING; VERIFICATION METHOD; VERIFICATION MODEL;

IMAGE SEGMENTATION;

FORECASTING;

DATA INTERPRETATION; DATA SET; ERROR ANALYSIS; GAUSSIAN METHOD; IMAGE ANALYSIS; NUMERICAL MODEL; PARAMETERIZATION; WEATHER FORECASTING;

EID: 77955563137     PISSN: 08828156     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010WAF2222355.1     Document Type: Article

References (13)

1. Ahijevych, D., E. Gilleland, B. Brown, and E. Ebert, 2009: Application of spatial verification methods to idealized and NWP-gridded precipitation forecasts. Wea. Forecasting, 24, 1485-1497.
2. Alexander, G., J. Weinman, V. Karyampudi, W. Olson, and A. Lee, 1999: The effect of assimilating rain rates derived from satellites and lightning on forecasts of the 1993 Superstorm. Mon. Wea. Rev., 127, 1433-1457.
3. Baldwin, M., and K. Mitchell, 1998: Progress on the NCEP hourly multi-sensor U.S. precipitation analysis for operations and GCIP research. Preprints, Second Symp. on Integrated Observing Systems, Phoenix, AZ, Amer. Meteor. Soc., 10-11.
4. Davis, C., B. Brown, and R. Bullock, 2006: Object-based verification of precipitation forecasts. Part I: Methodology and application to mesoscale rain areas. Mon. Wea. Rev., 134, 1772-1784.
5. Gilleland, E., D. Ahijevych, B. Brown, B. Casati, and E. Ebert, 2009: Intercomparison of spatial forecast verification methods. Wea. Forecasting, 24, 1416-1430.
6. Hand, D., H. Mannila, and P. Smyth, 2001: Principles of Data Mining. The MIT Press, 546 pp.
7. Janjić, Z., T. Black, M. Pyle, H. Chuang, E. Rogers, and G. DiMego, 2005: High resolution applications of the WRF NMM. Preprints, 21st Conf. on Weather Analysis and Forecasting/17th Conf. on Numerical Weather Prediction, Washington, DC, Amer. Meteor. Soc., 16A.4. [Available online at http://ams.confex.com/ams/WAFNWP34BC/techprogram/paper_93724.htm.]
8. Kain, J. S., and Coauthors, 2008: Some practical considerations regarding horizontal resolution in the first generation of operational convection-allowing NWP. Wea. Forecasting, 23, 931-952.
9. Keil, C., and G. Craig, 2007: A displacement-based error measure applied in a regional ensemble forecasting system. Mon. Wea. Rev., 135, 3248-3259.
10. Lakshmanan, V., T. Smith, G. J. Stumpf, and K. Hondl, 2007: The Warning Decision Support System-Integrated Information. Wea. Forecasting, 22, 596-612.
11. Rogers, E., and Coauthors, 2009: The NCEP North American Me-soscale Modeling System: Recent changes and future plans. Preprints, 23rd Conf. on Weather Analysis and Forecasting/19th Conf. on Numerical Weather Prediction, Omaha, NE, Amer. Meteor. Soc., 2A.4. [Available online at http://ams.confex.com/ams/pdfpapers/154114.pdf.]
12. Skamarock, W., J. Klemp, J. Dudhia, D. Gill, D. Barker, W. Wang, and J. Powers, 2005: A description of the Advanced Research WRF version 2. NCAR Tech. Rep. NCAR/TN-468*STR, 88 pp. [Available from UCAR Communications, P.O. Box 3000, Boulder, CO 80307.]
13. Wernli, H., C. Hofmann, and M. Zimmer, 2009: Spatial Forecast Verification Methods Intercomparison Project-Application of the SAL technique. Wea. Forecasting, 24, 1472-1484.