Analyzing the image warp forecast verification method on precipitation fields from the ICP

Weather and Forecasting

Volumn 25, Issue 4, 2010, Pages 1249-1262

  Gilleland, Eric ^a   Lindstrom, Johan ^b,c   Finn, Lindgren ^b  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^b LUND UNIVERSITY   (Sweden)

^c UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Forecast verification; Precipitation; Statistical forecasting; Stochastic models

Indexed keywords

FORECAST VERIFICATION METHODS; IMAGE WARPING; INTERCOMPARISONS; PRECIPITATION; REGULAR GRIDS; SPATIAL FORECASTS; STATISTICAL FORECASTING; TEST CASE;

STOCHASTIC MODELS; STOCHASTIC SYSTEMS; WEAVING;

FORECASTING;

GEOMETRY; GEOSTATISTICS; IMAGE ANALYSIS; NUMERICAL MODEL; PRECIPITATION (CLIMATOLOGY); PRECISION; STOCHASTICITY; WEATHER FORECASTING;

EID: 77955588494     PISSN: 08828156     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010WAF2222365.1     Document Type: Article

References (50)

1. Åberg, S., F. Lindgren, A. Malmberg, J. Holst, and U. Holst, 2005: An image warping approach to spatio-temporal modelling. Environmetrics, 16, 833-848.
2. 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.
3. 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 on the 1993 Superstorm. Mon. Wea. Rev., 127, 1433-1457.
4. Baldwin, M., and K. Elmore, 2005: Objective verification of highresolution WRF forecasts during 2005 NSSL/SPC Spring Program. Preprints, 21st Conf. on Weather Analysis and Forecasting/17th Conf. on Numerical Weather Prediction, Washington, DC, Amer. Meteor. Soc., 11B.4. [Available online at http://ams.confex.com/ams/pdfpapers/95172.pdf.]
5. Briggs, W., and R. Levine, 1997: Wavelets and field forecast verification. Mon. Wea. Rev., 125, 1329-1341.
6. Brill, K., and F. Mesinger, 2009: Applying a general analytic method for assessing bias sensitivity to bias-adjusted threat and equitable threat scores. Wea. Forecasting, 24, 1748-1754.
7. Casati, B., 2010: New developments of the intensity-scale technique within the Spatial Verification Methods Intercomparison Project. Wea. Forecasting, 25, 113-143.
8. Casati, B., G. Ross, and D. Stephenson, 2004: A new intensity-scale approach for the verification of spatial precipitation forecasts. Meteor. Appl., 11, 141-154.
9. 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.
10. Davis, C., B. Brown, R. Bullock, and J. Halley Gotway, 2009: The method for object-based diagnostic evaluation (MODE) applied to numerical forecasts from the 2005 NSSL/SPC Spring Program. Wea. Forecasting, 24, 1252-1267.
11. Dryden, I., and K. Mardia, 1998: Statistical Shape Analysis. J. Wiley, 347 pp.
12. Ebert, E., 2008: Fuzzy verification of high resolution gridded forecasts: A review and proposed framework. Meteor. Appl., 15, 51-64, doi:10.1002/met.25.
13. Ebert, E., 2009: Neighborhood verification: A strategy for rewarding close forecasts. Wea. Forecasting, 24, 1498-1510.
14. Ebert, E., and J. McBride, 2000: Verification of precipitation in weather systems: Determination of systematic errors. J. Hydrol., 239, 179-202.
15. Ebert, E., and W. Gallus Jr., 2009: Toward better understanding of the contiguous rain area (CRA) method for spatial forecast verification. Wea. Forecasting, 24, 1401-1415.
16. Fletcher, R., 1987: Practical Methods of Optimization. 2nd ed. J. Wiley, 450 pp.
17. Gilleland, E., D. Ahijevych, B. Casati, and B. Ebert, 2009: Intercomparison of spatial forecast verification methods. Wea. Forecasting, 24, 1416-1430.
18. Glasbey, C., and I. Nevison, 1997: Rainfall modelling using a latent Gaussian variable. Lect. Notes Stat., 122, 233-242.
19. Glasbey, C., and K. Mardia, 1998: A review of image warping methods. J. Appl. Stat., 25, 155-171.
20. Glasbey, C., and K. Mardia, 2001: A penalized likelihood approach to image warping. J. Roy. Stat. Soc., 63B, 465-514.
21. Goshtasby, A., 1987: Piecewise cubic mapping functions for image registration. Pattern Recognit., 20, 523-533.
22. Harris, D., E. Foufoula-Georgiou, K. Droegemeier, and J. Levit, 2001: Multiscale statistical properties of a high-resolution precipitation forecast. J. Hydrometeor., 2, 406-418.
23. Hoffman, R., Z. Liu, J. Louis, and C. Grassotti, 1995: Distortion representation of forecast errors. Mon. Wea. Rev., 123, 2758-2770.
24. Jolliffe, I., and D. Stephenson, 2003: Forecast Verification: A Practitioner's Guide in Atmospheric Science. J. Wiley and Sons, 254 pp.
25. Kain, J., S. Weiss, D. Bright, M. Baldwin, and J. Levit, 2008: Some practical considerations regarding horizontal resolution in the first generation of operational convection-allowing NWP. Wea. Forecasting, 23, 931-952.
26. Keil, C., and G. Craig, 2007: A displacement-based error measure applied in a regional ensemble forecasting system. Mon. Wea. Rev., 135, 3248-3259.
27. Keil, C., and G. Craig, 2009: A displacement and amplitude score employing an optical flow technique. Wea. Forecasting, 24, 1297-1308.
28. Lack, S., G. Limpert, and N. Fox, 2010: An object-oriented multiscale verification scheme. Wea. Forecasting, 25, 79-92.
29. Lakshmanan, V., and J. Kain, 2010: A Gaussian mixture model approach to forecast verification. Wea. Forecasting, 25, 908-920.
30. Lee, S., G. Wolberg, and S. Shin, 1997: Scattered data interpolation with multilevel b-splines. IEEE Trans. Vis. Comput. Graph., 3, 228-244.
31. Marzban, C., and S. Sandgathe, 2006: Cluster analysis for verification of precipitation fields. Wea. Forecasting, 21, 824-838.
32. Marzban, C., and S. Sandgathe, 2008: Cluster analysis for object-oriented verification of fields: A variation. Mon. Wea. Rev., 136, 1013-1025.
33. Marzban, C., and S. Sandgathe, 2009: Verification with variograms. Wea. Forecasting, 24, 1102-1120.
34. Marzban, C., S. Sandgathe, H. Lyons, and N. Lederer, 2009: Three spatial verification techniques: Cluster analysis, variogram, and optical flow. Wea. Forecasting, 24, 1457-1471.
35. Mesinger, F., 2008: Bias adjusted precipitation threat scores. Adv. Geosci., 16, 137-143.
36. Micheas, A., N. Fox, S. Lack, and C. Wikle, 2007: Cell identification and verification of QPF ensembles using shape analysis techniques. J. Hydrol., 343, 105-116.
37. Mittermaier, M., and N. Roberts, 2010: Intercomparison of spatial forecast verification methods: Identifying skillful spatial scales using the fractions skill score. Wea. Forecasting, 25, 343-354.
38. Murphy, A., and R. Winkler, 1987: A general framework for forecast verification. Mon. Wea. Rev., 115, 1330-1338.
39. Nachamkin, J., 2004: Mesoscale verification using meteorological composites. Mon. Wea. Rev., 132, 941-955.
40. Nachamkin, J., 2009: Application of the composite method to the Spatial Forecast Verification Methods Intercomparison Dataset. Wea. Forecasting, 24, 1390-1400.
41. Nehrkorn, T., R. Hoffman, C. Grassotti, and J.-F. Louis, 2003: Feature calibration and alignment to represent model forecast errors: Empirical regularization. Quart. J. Roy. Meteor. Soc., 129, 195-218.
42. Reilly, C., P. Price, A. Gelman, and S. Sandgathe, 2004: Using image and curve registration for measuring the goodness of fit of spatial and temporal predictions. Biometrics, 60, 954-964.
43. Sampson, P. D., and P. Guttorp, 1992: Nonparametric estimation of nonstationary spatial covariance structure. J. Amer. Stat. Assoc., 87, 108-119.
44. Sampson, P. D., and P. Guttorp, 1999: Operational evaluation of air quality models. NRCSE-TRS 018, National Research Center for Statistics and the Environment, Seattle, WA, 22 pp. [Available online at http://www.nrcse.washington.edu/pdf/trs18_aqmodels.pdf.]
45. Skamarock, W. C., 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. Note TN-468+STR, 88 pp.
46. Venugopal, V., S. Basu, and E. Foufoula-Georgiou, 2005: A new metric for comparing precipitation patterns with an application to ensemble forecasts. J. Geophys. Res., 110, D08111, doi:10.1029/2004JD005395.
47. Wernli, H., M. Paulat, M. Hagen, and C. Frei, 2008: SAL-A novel quality measure for the verification of quantitative precipitation forecasts. Mon. Wea. Rev., 136, 4470-4487.
48. Wernli, H., C. Hofmann, and M. Zimmer, 2009: Spatial Forecast Verification Methods Intercomparison Project application of the SAL technique. Wea. Forecasting, 24, 1472-1484.
49. Wilks, D., 2006: Statistical Methods in the Atmospheric Sciences. An Introduction. 2nd ed. Academic Press, 627 pp.
50. Zepeda-Arce, J., E. Foufoula-Georgiou, and K. Droegemeier, 2000: Space-time rainfall organization and its role in validating quantitative precipitation forecasts. J. Geophys. Res., 105, 10 129-10 146.