A proposed model-based methodology for feature-specific prediction for high-impact weather

Weather and Forecasting

Volumn 26, Issue 2, 2011, Pages 243-249

  Carley, Jacob R ^a   Schwedler, Benjamin R J ^a   Baldwin, Michael E ^a   Trapp, Robert J ^a   Kwiatkowski, John ^b   Logsdon, Jeffrey ^b   Weiss, Steven J ^c  

^a PURDUE UNIVERSITY   (United States)

^b NWS   (United States)

^c UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONVECTIVE STORMS; FORECASTING METHODS; HIGH RESOLUTION; MODEL-BASED; NUMERICAL WEATHER PREDICTION MODELS; SPATIAL FORECASTS; VERIFICATION METHODOLOGY; WEATHER EVENTS;

MATHEMATICAL MODELS; NUMERICAL METHODS;

WEATHER FORECASTING;

CONVECTIVE SYSTEM; NUMERICAL MODEL; PREDICTION; SEVERE WEATHER; STORM; WEATHER FORECASTING;

EID: 79956299772     PISSN: 08828156     EISSN: None     Source Type: Journal    
DOI: 10.1175/WAF-D-10-05008.1     Document Type: Article

References (46)

1. Baddeley, A. J., 1992a: An error metric for binary images. Robust Computer Vision: Quality of Vision Algorithms, W. Fö rstner and S. Ruwiedel, Eds., Wichmann, 59-78.
2. p version of the Hausdorff metric. Nieuw Arch. Wiskunde, 10, 157-183.
3. Baldwin, M. E., J. S. Kain, and S. Lakshmivarahan, 2005: Development of an automated classification procedure for rainfall systems. Mon. Wea. Rev., 133, 844-862.
4. Bender, M. A., R. J. Ross, R. E. Tuleya, and Y. Kurihara, 1993: Improvements in tropical cyclone track and intensity forecasts using the GFDL initialization scheme. Mon. Wea. Rev., 121, 2046-2061.
5. Bunkers, M. J., M. R. Hjelmfelt, and P. L. Smith, 2006: An observational examination of long-lived supercells. Part I: Characteristics, evolution, and demise. Wea. Forecasting, 21, 673-688.
6. Chen, S.-H., and W.-Y. Sun, 2002: A one-dimensional time dependent cloud model. J. Meteor. Soc. Japan, 80, 99-118.
7. Davis, C. A., B. G. Brown, and R. G. Bullock, 2006: Object-based verification of precipitation forecasts. Part I: Methodology and application to mesoscale rain areas. Mon. Wea. Rev., 134, 1772-1784.
8. Dixon, M., and G. Wiener, 1993: TITAN: Thunderstorm Identification, Tracking, Analysis, and Nowcasting-A radar-based methodology. J. Atmos. Oceanic Technol., 10, 785-797.
9. Doswell, C. A., III, H. E. Brooks, and R. A. Maddox, 1996: Flash flood forecasting: An ingredients-based methodology. Wea. Forecasting, 11, 560-581.
10. Duda, J. D., and W. A. Gallus Jr., 2010: Spring and summer midwestern severe weather reports in supercells compared to other morphologies. Wea. Forecasting, 25, 190-206.
11. Dudhia, J., 1989: Numerical study of convection observed during the Winter Monsoon Experiment using a mesoscale twodimensional model. J. Atmos. Sci., 46, 3077-3107.
12. Ebert, E. E., and J. L. McBride, 2000: Verification of precipitation in weather systems: Determination of systematic errors. J. Hydrol., 239, 179-202.
13. Ek, M.B., K.E. Mitchell,Y.Lin, E. Rogers, P.Grunmann,V.Koren, G. Gayno, and J. D. Tarpley, 2003: Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta Model. J. Geophys. Res., 108, 8851, doi:10.1029/2002JD003296.
14. Gilleland, E., T. C. M. Lee, J. Halley Gotway, R. G. Bullock, and B. G. Brown, 2008: Computationally efficient spatial forecast verification using Baddeley's delta image metric. Mon. Wea. Rev., 136, 1747-1757.
15. Goerss, J. S., 2000: Tropical cyclone track forecasts using an ensemble of dynamical models. Mon. Wea. Rev., 128, 1187-1193.
16. Han, L., S. Fu, L. Zhao, Y. Zheng, H. Wang, and Y. Lin, 2009: 3D convective storm identification, tracking, and forecasting-An enhanced TITAN algorithm. J. Atmos. Oceanic Technol., 26, 719-732.
17. Hitchens, N. M., R. J. Trapp, M. E. Baldwin, and A. Gluhovsky, 2010: Characterizing subdiurnal extreme precipitation in the midwestern United States. J. Hydrometeor., 11, 211-218.
18. Hodges, K. I., 1994: A general method for tracking analysis and its application to meteorological data. Mon. Wea. Rev., 122, 2573-2586.
19. Hodges, K. I., B. J. Hoskins, J. Boyle, and C. Thorncroft, 2003: A comparison of recent reanalysis datasets using objective feature tracking: Storm tracks and tropical easterly waves. Mon. Wea. Rev., 131, 2012-2037.
20. Hong, S.-Y., Y. Noh, and J. Dudhia, 2006: A new vertical diffusion package with an explicit treatment of entrainment processes. Mon. Wea. Rev., 134, 2318-2341.
21. Johns, R. H., and C. A. Doswell III, 1992: Severe local storms forecasting. Wea. Forecasting, 7, 588-612.
22. Johnson, J. T., P. L.MacKeen,A.Witt, E.D.Mitchell,G. J. Stumpf, M. D. Eilts, and K. W. Thomas, 1998: The Storm Cell Identification and Tracking algorithm: An enhanced WSR-88D algorithm. Wea. Forecasting, 13, 263-276.
23. 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.
24. Kain, J. S., S. R. Dembek, S. J. Weiss, J. L. Case, J. J. Levit, and R. A. Sobash, 2010: Extracting unique information from high resolution forecast models: Monitoring selected fields and phenomena every time step. Wea. Forecasting, 25, 1536-1542.
25. Koch, S. E., B. S. Ferrier, M. T. Stoelinga, E. Szoke, S. J. Weiss, and J. S. Kain, 2005: The use of simulated radar reflectivity fields in the diagnosis of mesoscale phenomena fromhigh-resolutionWRF model forecasts. Preprints, 32nd Conf. on Radar Meteorology/ 11th Conf. on Mesoscale Processes, Albuquerque, NM, Amer. Meteor. Soc., J4J.7. [Available online at http://ams.confex.com/ams/pdfpapers/97032.pdf.]
26. Lakshmanan, V., R. Rabin, and V. DeBrunner, 2003: Multiscale storm identification and forecast. J. Atmos. Res., 67, 367-380.
27. Lakshmanan, V., T. Smith, G. J. Stumpf, and K. Hondl, 2007: The Warning Decision Support System-Integrated Information. Wea. Forecasting, 22, 596-612.
28. Lin, Y.-L., R. D. Farley, and H. D. Orville, 1983: Bulk parameterization of the snow field in a cloud model. J. Appl. Meteor., 22, 1065-1092.
29. Marzban, C., and S. Sandgathe, 2006: Cluster analysis for verification of precipitation fields. Wea. Forecasting, 21, 824-838.
30. Marzban, C., and S. Sandgathe, 2008: Cluster analysis for object-oriented verification of fields: A variation. Mon. Wea. Rev., 136, 1013-1025.
31. Micheas, A. C., N. I. Fox, S. A. Lack, and C. K. Wikle, 2007: Cell identification and verification of QPF ensembles using shape analysis techniques. J. Hydrol., 343, 105-116.
32. Miller, R. C., 1972: Notes on the analysis and severe-storm forecasting procedures of the Air Force Global Weather Central. Air Weather Service Tech. Rep. 200 (Rev.), Air Weather Service, Scott Air Force Base, IL, 190 pp.
33. Mlawer, E. J., S. J. Taubman, P. D. Brown, M. J. Iacono, and S. A. Clough, 1997: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. J. Geophys. Res., 102 (D14), 16 663-16 682.
34. Moller, A. R., C. A. Doswell, M. P. Foster, and G. R. Woodall, 1994: The operational recognition of supercell thunderstormenvironments and stormstructures. Wea. Forecasting, 9, 327-347.
35. Parker, M. D., and R. H. Johnson, 2000: Organizational modes of midlatitude mesoscale convective systems. Mon. Wea. Rev., 128, 3413-3436.
36. Peak, J. E., and P. M. Tag, 1994: Segmentation of satellite imagery using hierarchical thresholding and neural networks. J. Appl. Meteor., 33, 605-616.
37. Pierce, C. E., P. J. Hardaker, C. G. Collier, and C. M. Hagget, 2000: GANDOLF: A system for generating automated nowcasts of convective precipitation. Meteor. Appl., 7, 341-360.
38. Rogers, E., and Coauthors, 2009: The NCEP North American MesoscaleModeling System: Recent changes and future plans. Preprints, 23rd Conf. onWeather 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.].
39. Schwartz, C. S., and Coauthors, 2009: Next-day convection-allowing WRF model guidance: A second look at 2-km versus 4-km grid spacing. Mon. Wea. Rev., 137, 3351-3372.
40. Skamarock,W. C., and J. B.Klemp, 2008:Atime-split nonhydrostatic atmospheric model for Weather Research and Forecasting applications. J. Comput. Phys., 227, 3465-3485.
41. Sobash, R., J. S. Kain, D. R. Bright, A. R. Dean, M. C. Coniglio, S. J. Weiss, and J. J. Levit, 2009: Forecast guidance for severe thunderstorms based on identification of extreme phenomena in convection-allowing model forecasts. Preprints, 23rd Conf. on Weather Analysis and Forecasting/19th Conf. on Numerical Weather Prediction, Omaha, NE, Amer. Meteor. Soc., 4B.6. [Available online at http://ams.confex.com/ams/pdfpapers/154328.pdf.].
42. SPC, cited 2010: Severe weather database files. [Available online at http://www.spc.ncep.noaa.gov/wcm/#data.].
43. Stensrud, D. J., and Coauthors, 2009: Convective-scale warn-onforecast system: A vision for 2020. Bull. Amer. Meteor. Soc., 90, 1487-1499.
44. Thompson, R. L., J. S. Grams, and J. A. Prentice, 2008: Synoptic environments and convective modes associated with significant tornadoes in the contiguous United States. Preprints, 24th Conf. on Severe Local Storms, Savannah, GA, Amer. Meteor. Soc., 16A.3. [Available online at http://ams.confex.com/ams/pdfpapers/142210.pdf.].
45. Trapp, R. J., B. A. Halvorson, and N. S. Diffenbaugh, 2007: Telescoping, multimodel approaches to evaluate extreme convective weather under future climates. J. Geophys. Res., 112, D20109, doi:10.1029/2006JD008345.
46. Trapp, R. J., E. D. Robinson, M. E. Baldwin, N. S. Diffenbaugh, and B. R. J. Schwedler, 2010: Regional climate of hazardous convective weather through high-resolution dynamical downscaling. Climate Dyn., doi:10.1007/s00382-010-0826-y.