Probabilistic precipitation forecast skill as a function of ensemble size and spatial scale in a convection-allowing ensemble

Monthly Weather Review

Volumn 139, Issue 5, 2011, Pages 1410-1418

  Clark, Adam J ^a   Kain, John S ^a   Stensrud, David J ^a   Xue, Ming ^b   Kong, Fanyou ^b   Coniglio, Michael C ^a   Thomas, Kevin W ^b   Wang, Yunheng ^b   Brewster, Keith ^b   Gao, Jidong ^b   Wang, Xuguang ^b   Weiss, Steven J ^c   Du, Jun ^d  

^a NATIONAL SEVERE STORMS LABORATORY   (United States)

^b UNIVERSITY OF OKLAHOMA   (United States)

^c NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^d CLIMATE PREDICTION CENTER   (United States)

Author keywords

Convective parameterizations; Ensembles; Forecast verification; Precipitation; Probability forecasts models distribution

Indexed keywords

ALLOCATION OF COMPUTING RESOURCES; ENSEMBLE FORECAST SYSTEMS; ENSEMBLES; FORECAST PROBABILITIES; FORECAST VERIFICATION; LEADTIME; PARAMETERIZATIONS; PRECIPITATION FORECAST; PROBABILITY FORECASTS/MODELS/DISTRIBUTION; QUANTITATIVE PRECIPITATION FORECAST; RELATIVE OPERATING CHARACTERISTICS; SIGNIFICANCE TEST; SPATIAL SCALE;

DISTRIBUTION FUNCTIONS; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; STORMS;

WEATHER FORECASTING;

ATMOSPHERIC CONVECTION; ENSEMBLE FORECASTING; PARAMETERIZATION; PRECIPITATION (CLIMATOLOGY); PROBABILITY DENSITY FUNCTION; WEATHER FORECASTING;

EID: 79958731086     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010MWR3624.1     Document Type: Article

References (52)

1. Accadia, C., S. Mariani, M. Casaioli, A. Lavagnini, and A. Speranza, 2003: Sensitivity of precipitation forecast skill scores to bilinear interpolation and a simple nearest-neighbor average method on high-resolution verification grids. Wea. Forecasting, 18, 918-932.
2. Baldwin, M. E., and K. E. Mitchell, 1997: The NCEP hourly multisensor U.S. precipitation analysis for operations and GCIP research. Preprints, 13th Conf. on Hydrology, Long Beach, CA, Amer. Meteor. Soc., 54-55.
3. Buizza, R., A. Hollingsworth, F. Lalaurette, and A. Ghelli, 1999: Probabilistic predictions of precipitation using the ECMWF Ensemble Prediction System. Wea. Forecasting, 14, 168-189.
4. Chen, F., and J. Dudhia, 2001: Coupling an advanced land-surface/hydrology model with the Penn State/NCAR MM5 modeling system. Part I: Model description and implementation. Mon. Wea. Rev., 129, 569-585.
5. Chen, S.-H., and W.-Y. Sun, 2002: A one-dimensional time dependent cloud model. J. Meteor. Soc. Japan, 80, 99-118.
6. Chou, M.-D., and M. J. Suarez, 1994: An efficient thermal infrared radiation parameterization for use in general circulation models. NASA Tech. Memo. 104606, Vol. 3, 85 pp.
7. Clark, A. J., W. A. Gallus, M. Xue, and F. Kong, 2009: A comparison of precipitation forecast skill between small convection-allowing and large convection-parameterizing ensembles. Wea. Forecasting, 24, 1121-1140.
8. Done, J., C. A. Davis, and M. L. Weisman, 2004: The next generation of NWP: Explicit forecasts of convection using the Weather Research and Forecast (WRF) Model. Atmos. Sci. Lett., 5, 110-117.
9. Du, J., S. L. Mullen, and F. Sanders, 1997: Short-range ensemble forecasting of quantitative precipitation. Mon. Wea. Rev., 125, 2427-2459.
10. Du, J., J. McQueen, G. DiMego, Z. Toth, D. Jovic, B. Zhou, and H. Chuang, 2006: New dimension of NCEP Short-Range Ensemble Forecasting (SREF) system: Inclusion of WRF members. Preprints, WMO Expert Team Meeting on Ensemble Prediction System, Exeter, United Kingdom, WMO, 5 pp. [Available online at http://www.emc.ncep.noaa.gov/mmb/SREF/WMO06_full.pdf.]
11. Ebert, E. E., 2009: Neighborhood verification: A strategy for rewarding close forecasts. Wea. Forecasting, 24, 1498-1510.
12. Eckel, F. A., and C. F. Mass, 2005: Aspects of effective meso-scale, short-range ensemble forecasting. Wea. Forecasting, 20, 328-350.
13. Fels, S. B., and M. D. Schwarzkopf, 1975: The simplified exchange approximation: A new method for radiative transfer calculations. J. Atmos. Sci., 32, 1475-1488.
14. Ferrier, B. S., Y. Jin, Y. Lin, T. Black, E. Rogers, and G. DiMego, 2002: Implementation of a new grid-scale cloud and rainfall scheme in the NCEP Eta Model. Preprints, 15th Conf. on Numerical Weather Prediction, San Antonio, TX, Amer. Meteor. Soc., 280-283.
15. Fritsch, J. M., and R. E. Carbone, 2004: Improving quantitative precipitation forecasts in the warm season: A USWRP research and development strategy. Bull. Amer. Meteor. Soc., 85, 955-965.
16. Gao, J., M. Xue, K. Brewster, and K. K. Droegemeier, 2004: A three-dimensional variational data analysis method with recursive filter for Doppler radars. J. Atmos. Oceanic Technol., 21, 457-469.
17. Hamill, T. M., 1999: Hypothesis tests for evaluating numerical precipitation forecasts. Wea. Forecasting, 14, 155-167.
18. Hamill, T. M., 2001: Interpretation of rank histograms for verifying ensemble forecasts. Mon. Wea. Rev., 129, 550-560.
19. Hamill, T. M., and S. J. Colucci, 1997: Verification of Eta-RSM short-range ensemble forecasts. Mon. Wea. Rev., 125, 1312-1327.
20. Hamill, T. M., and S. J. Colucci, 1998: Evaluation of Eta-RSM ensemble probabilistic precipitation forecasts. Mon. Wea. Rev., 126, 711-724.
21. Hong, S.-Y., and J.-O. J. Lim, 2006: The WRF single-moment 6-class microphysics scheme (WSM6). J. Korean Meteor. Soc., 42, 129-151.
22. Hu, M., M. Xue, and K. Brewster, 2006: 3D-VAR and cloud analysis with WSR-88D level-II data for the prediction of Fort Worth tornadic thunderstorms. Part I: Cloud analysis and its impact. Mon. Wea. Rev., 134, 675-698.
23. Janjic, Z., 2002: Nonsingular implementation of the Mellor- Yamada level 2.5 scheme in the NCEP Mesomodel. NCEP Office Note 437, NOAA/NWS, 61 pp.
24. Janjic, Z., 2003: A nonhydrostatic model based on a new approach. Meteor. Atmos. Phys., 82, 271-285.
25. Jenkner, J., C. Frei, and C. Schwierz, 2008: Quantile-based short-range QPF evaluation over Switzerland. Meteor. Z., 17, 827-848.
26. Kain, J. S., P. R. Janish, S. J. Weiss, M. E. Baldwin, R. S. Schneider, and H. E. Brooks, 2003: Collaboration between forecasters and research scientists at the NSSL and SPC: The Spring Program. Bull. Amer. Meteor. Soc., 84, 1797-1806.
27. Kain, J. S., S. J. Weiss, M. E. Baldwin, G. W. Carbin, D. A. Bright, J. J. Levit, and J. A. Hart, 2005: Evaluating high-resolution configurations of the WRF model that are used to forecast severe convective weather: The 2005 SPC/NSSL Spring Program. Preprints, 21st Conf.onWeather Analysis and Forecasting/17th Conf. on Numerical Weather Prediction, Washington, DC, Amer. Meteor. Soc., 2A.5. [Available online at http://ams.confex.com/ams/pdfpapers/94843.pdf.]
28. Kain, J. S., and Coauthors, 2010: Assessing advances in the assimilation of radar data and other mesoscale observations within a collaborative forecasting-research environment. Wea. Forecasting, 25, 1510-1521.
29. Kong, F., and Coauthors, 2007: Preliminary analysis on the realtime storm-scale ensemble forecasts produced as a part of the NOAA Hazardous Weather Testbed2007 Spring Experiment. Preprints, 22nd Conf. on Weather Analysis and Forecasting/18th Conf. on Numerical Weather Prediction, Park City, UT, Amer. Meteor. Soc., 3B.2. [Available online at http://ams.confex.com/ams/pdfpapers/124667.pdf.]
30. Kong, F., and Coauthors, 2009: A real-time storm-scale ensemble forecast system: 2009 Spring Experiment. Preprints, 23rd Conf. on Weather Analysis and Forecasting/19th Conf. on Numerical Weather Prediction, Omaha, NE, Amer. Meteor. Soc., 16A.3. [Available online at http://ams.confex.com/ams/pdfpapers/154118.pdf.]
31. Lacis, A. A., and J. E. Hansen, 1974: A parameterization for the absorption of solar radiation in the earth's atmosphere. J. Atmos. Sci., 31, 118-133.
32. Lorenz, E. N., 1969: The predictability of a flow which possesses many scales of motion. Tellus, 21, 289-307.
33. Mason, I., 1982: A model for assessment of weather forecasts. Aust. Meteor. Mag., 30, 291-303.
34. Mellor, G. L., and T. Yamada, 1982: Development of a turbulence closure model for geophysical fluid problems. Rev. Geophys., 20, 851-875.
35. Mlawer, E. J., S. J. Taubman, P. D. Brown, M. J. Iacono, and S. A. Clough, 1997: Radiative transfer for inhomogeneous atmosphere: RRTM, a validated correlated-k model for the long-wave. J. Geophys. Res., 102 (D14), 16 663-16 682.
36. Murphy, A. H., 1977: The value of climatological, categorical and probabilistic forecasts in the cost-loss ratio situation. Mon. Wea. Rev., 105, 803-816.
37. Noh, Y., W. G. Cheon, S.-Y. Hong, and S. Raasch, 2003: Improvement of the K-profile model for the planetary boundary layer based on large eddy simulation data. Bound.-Layer Meteor., 107, 401-427.
38. Nutter, P., D. Stensrud, and M. Xue, 2004: Effects of coarsely resolved and temporally interpolated lateral boundary conditions on the dispersion of limited-area ensemble forecasts. Mon. Wea. Rev., 132, 2358-2377.
39. Richardson, D. S., 2000: Applications of cost-loss models. Proc. Seventh ECMWF Workshop on Meteorological Operational Systems, Reading, United Kingdom, ECMWF, 209-213.
40. Richardson, D. S., 2001: Measures of skill and value of ensemble prediction systems, their interrelationship and the effectof ensemble size. Quart. J. Roy. Meteor. Soc., 127, 2473-2489.
41. Schwarzkopf, M. D., and S. B. Fels, 1991: The simplified exchange method revisited - An accurate, rapid method for computation of infrared cooling rates and fluxes. J. Geophys. Res., 96 (D5), 9075-9096.
42. Skamarock, W. C., and Coauthors, 2008: A description of the Advanced Research WRF version 2. NCAR Tech Note NCAR/TN-475+STR, 113 pp. [Available online at http://www.mmm.ucar.edu/wrf/users/docs/arw_v3.pdf.]
43. Smirnova, T. G., J. M. Brown, and S. G. Benjamin, 1997: Performance of different soil model configurations in simulating ground surface temperature and surface fluxes. Mon. Wea. Rev., 125, 1870-1884.
44. Smirnova, T. G., J. M. Brown, S. G. Benjamin, and D. Kim, 2000: Parameterization of cold-season processes in the MAPS land-surface scheme. J. Geo-phys. Res., 105 (D3), 4077-4086.
45. Thompson, G., R. M. Rasmussen, and K. Manning, 2004: Explicit forecasts of winter precipitation using an improved bulk mi-crophysics scheme. Part I: Description and sensitivity analysis. Mon. Wea. Rev., 132, 519-542.
46. Wandishin, M. S., S. L. Mullen, D. J. Stensrud, and H. E. Brooks, 2001: Evaluation of a short-range multimodel ensemble system. Mon. Wea. Rev., 129, 729-747.
47. Warner, T. T., R. A. Peterson, and R. E. Treadon, 1997: A tutorial on lateral boundary conditions as a basic and potentially serious limitation to regional numerical weather prediction. Bull. Amer. Meteor. Soc., 78, 2599-2617.
48. Weisman, M. L., W. C. Skamarock, and J. B. Klemp, 1997: The resolution dependence of explicitly modeled convective systems. Mon. Wea. Rev., 125, 527-548.
49. Wilks, D. S., 1995: Statistical Methods in the Atmospheric Sciences: An Introduction. Academic Press, 467 pp.
50. Xue, M., and Coauthors, 2001: The Advanced Regional Prediction System (ARPS) - A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part II: Model physics and applications. Meteor. Atmos. Phys., 76, 143-165.
51. Xue, M., D. Wang, J. Gao, K. Brewster, and K. K. Droegemeier, 2003: The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilation. Meteor. Atmos. Phys., 82, 139-170.
52. Xue, M., and Coauthors, 2009: CAPS realtime 4-km multi-model convection-allowing ensemble and 1-km convection-resolving forecasts for the NOAA Hazardous Weather Testbed 2009 Spring Experiment. Extended Abstracts, 23rd Conf. on Weather Analysis and Forecasting/19th Conf. on Numerical Weather Prediction, Omaha, NE, Amer. Meteor. Soc., 16A.2. [Available online at http://ams.confex.com/ams/pdfpapers/154323.pdf.]