Development and Evaluation of the High Resolution Limited Area Ensemble Prediction System in the Korea Meteorological Administration |
Kim, SeHyun
(Atmospheric Predictability and Data Assimilation Laboratory, Department of Atmospheric Sciences, Yonsei University)
Kim, Hyun Mee (Atmospheric Predictability and Data Assimilation Laboratory, Department of Atmospheric Sciences, Yonsei University) Kay, Jun Kyung (Atmospheric Predictability and Data Assimilation Laboratory, Department of Atmospheric Sciences, Yonsei University) Lee, Seung-Woo (Korea Meteorological Administration) |
1 | Duc, L., K. Saito, and H. Seko, 2013: Spatial-temporal fractions verification for high-resolution ensemble forecasts. Tellus, 65A, 18171, doi:10.3402/tellusa.v65i0.18171. DOI |
2 | Ebert, E. E., 2001: Ability of a Poor Man's ensemble to predict the probability and distribution of precipitation. Mon. Wea. Rev., 129, 2461-2480. DOI |
3 | Ebert, E. E., 2008: Fuzzy verification of high resolution gridded forecasts: a review and proposed framework. Meteor. Appl., 15, 51-64. DOI |
4 | Ebert, E. E., and J. L. McBride, 2000: Verification of precipitation in weather systems: determination of systematic errors. J. Hydrol., 239, 179-202. DOI |
5 | Edward, J. M., and A. Slingo, 1996: Studies with a flexible new radiation code. I: Choosing a configuration for a large-scale model. Quart. J. Roy. Meteor. Soc., 122, 689-719. DOI |
6 | Essery, R., M. Best, and P. Cox, 2001: 'MOSES 2.2 Technical Documentation'. Technical Report 30, Hadley Centre. [Available online at http://www.metoffice.gov.uk/research/hadleycentre/pubs/HCTN/index.html.]. |
7 | Gebhardt, C., S. E. Theis, M. Paulat, and Z. Ben Bouallegue, 2011: Uncertainties in COSMO-DE precipitation forecasts introduced by model perturbations and variations of lateral boundaries. Atmos. Res., 100, 168-177. DOI |
8 | Hanley, K. E., D. J. Kirshbaum, S. E. Belcher, N. M. Roberts, and G. Leoncini, 2011: Ensemble predictability of an isolated mountain thunderstorm in a high-resolution model. Quart. J. Roy. Meteor. Soc., 137, 2124-2137, doi:10.1002/qj.877. DOI |
9 | 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. DOI |
10 | Kay, J. K., and H. M. Kim, 2014: Characteristics of initial perturbations in the ensemble prediction system of the Korea Meteorological Administration. Wea. Forecasting, 29, 563-581, doi:10.1175/WAF-D-13-00097.1. DOI |
11 | Kay, J. K., and H. M. Kim, Y.-Y. Park, and J. Son, 2013: Effect of doubling ensemble size on the performance of ensemble prediction in warm season using MOGREPS implemented in KMA. Adv. Atmos. Sci., 30, 1287-1302, doi:10.1007/s00376-012-2083-y. DOI |
12 | Kim, S., and H. M. Kim, 2014: Neighborhood-based verification of high resolution ensemble forecast system in KMA. 94th American Meteorological Society Annual Meeting, 2-6 Feb, 2014, Atlanta, Georgia. [Available online at https://ams.confex.com/ams/94Annual/webprogram/Paper234899.html.]. |
13 | Kong, F., K. K. Droegmeier, and N. L. Hickmon, 2007: Multi-resolution ensemble forecasts of an observed tornadic thunderstorm system. Part II: Storm-scale experiments. Mon. Wea. Rev., 135, 759-782. DOI |
14 | Korea Meteorological Administration, 2012: Annual Climate Report, 312 pp. [Available online at http://www.kma.go.kr/repositary/sfc/pdf/sfc_ann_2012.pdf.]. |
15 | Kuhnlein, C., C. Keil, G. C. Craig, and C. Gebhardt, 2014: The impact of downscaled initial condition perturbations on convective-scale ensemble forecasts of precipitation. Quart. J. Roy. Meteor. Soc., 140, 1552-1562, doi:10.1002/qj.2238. DOI |
16 | Lock, A. P., A. R. Brown, M. R. Bush, G. M. Martin, and R. N. B. Smith, 2000: A new boundary layer mixing scheme. Part I: Scheme description and single-col umn model tests. Mon. Wea. Rev., 128, 3187-3199. DOI |
17 | Marsigli, C., F. Boccanera, A. Montani, and T. Paccagnella, 2005: The COSMO-LEPS mesoscale ensemble system: validation of the methodology and verification. Nonlinear Proc. Geoph., 12, 527-536. DOI |
18 | Lorenz, E. N., 1969: The predictability of a flow which possesses many scales of motion. Tellus, 21, 289-307. DOI |
19 | Marsigli, C., A. Montani, and T. Paccagnella, 2013: Test of a COSMO-based convection-permitting ensemble in the Hymex framework. COSMO Newsletter No. 13, 5 pp. [Available online at http://www.cosmo-model.org/content/model/documentation/newsLetters/default.htm.]. |
20 | Marsigli, C., A. Montani, and T. Paccagnella, 2014: Provision of boundary conditions for a convection-permitting ensemble: comparison of two different approaches. Nonlinear Proc. Geoph., 21, 393-403, doi:10.5194/npg-21-393-2014. DOI |
21 | Mass, C. F., D. Ovens, K. Westrick, and B. A. Colle, 2002: Does increasing horizontal resolution produce more skillful forecasts?. Bull. Amer. Meteor. Soc., 83, 407-430. DOI |
22 | Met. Office, 1998: Unified Model User Guide, 200 pp. [Available online at http://www.ukscience.org/_Media/UM_User_Guide.pdf.]. |
23 | Migliorini, S., M. Dixon, R. Bannister, and S. Ballard, 2011: Ensemble prediction for nowcasting with a convection permitting model-I: Description of the system and the impact of radar-derived surface precipitation rates. Tellus, 63A, 468-496, doi:10.1111/j.1600-0870.2010.00503.x. |
24 | Mittermaier, M., N. Roberts, and S. A. Thompson, 2012: A long-term assessment of precipitation forecast skill using the fractions skill score. Meteor. Appl., 20, 176-186, doi:10.1002/met.296. DOI |
25 | Roberts, N. M., G. Leoncini, and C. Wang, 2011: Storm-permitting Ensemble. Presentation at 9th International SRNWP-Workshop on Non-Hydrostatic Modelling, 16-18 May, 2011, Bad orb, Germany. [Available online at http://srnwp.met.hu/workshops/BadOrb_2011/Presentations/05_Predictability/01_Roberts/ROBERTSN_SRNWP_MAY18_2011.pdf.]. |
26 | Mylne, K., 2013: Scientific framework for the ensemble prediction system for the UKV. MOSAC Paper 18.6, Met Office, 12 pp. [Available online at http://www.metoffice.gov.uk/media/pdf/q/0/MOSAC_18.6_Mylne.pdf.] |
27 | Roberts, N. M., 2008: Assessing the spatial and temporal variation in skill of precipitation forecasts from an NWP model. Meteor. Appl., 15, 163-169. DOI |
28 | Roberts, N. M., and H. W. Lean, 2008: Scale-selective verification of rainfall accumulations from high-resolution forecasts of convective events. Mon. Wea. Rev., 136, 78-97. DOI |
29 | Saito, K., H. Seko, T. Kawabata, Y. Shoji, T. Kuroda, T. Fujita, and O. Suzuki, 2011: Studies at MRI toward cloud resolving ensemble NWP. Presentation at 11th EMS Annual Meeting, 12-16 Sep, 2011, Berlin, Germany. [Available online at http://presentations.copernicus.org/EMS2011-527_presentation.pdf.]. |
30 | Schwarts, 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. DOI |
31 | Shin, H. H., and S.-Y. Hong, 2013: Analysis of resolved and parameterized vertical transports in convective boundary layers at gray-zone resolutions. J. Atmos. Sci., 70, 3248-3261. DOI |
32 | Weisman, M. L., C. Davis, W. Wang, K. W. Manning, and J. B. Klemp, 2008: Experiences with 0-36-h explicit convective forecasts with the WRF-ARW model. Wea. Forecasting, 23, 407-437. DOI |
33 | 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. DOI |
34 | Wilson, D. R., and S. P. Ballard, 1999: A microphysically based precipitation scheme for the UK Meteorological Office Unified Model. Quart. J. Roy. Meteor. Soc., 125, 1607-1636. DOI |
35 | Zacharov, P., and D. Rezacova, 2009: Using the fractions skill score to assess the relationship between an ensemble QPF spread and skill. Atmos. Res., 94, 684-693, doi:10.1016/j.atmosres.2009.03.004. DOI |
36 | Barker, T. W., 1991: The relationship between spread and forecast error in extended-range forecasts. J. Climate, 4, 733-742. DOI |
37 | Baker, L., A. Rudd, S. Migliorini, and R. Bannister, 2014: Representation of model error in a convective-scale ensemble prediction system. Nonlin. Proc. Geophys., 21, 19-39, doi:10.5194/npg-21-19-2014. DOI |
38 | Bowler, N. E., A. Arribas, K. R. Mylne, K. B. Robertson, and S. E. Beare, 2008: The MOGREPS short-range ensemble prediction system. Quart. J. Roy. Meteor. Soc., 134, 703-722. DOI |
39 | Clark, A. J., and Coauthors, 2011: Probabilistic precipitation forecast skill as a function of ensemble size and spatial scale in a convection-allowing ensemble. Mon. Wea. Rev., 139, 1410-1418. DOI |
40 | Davies, T., M. J. P. Cullen, A. J. Malcolm, M. H. Mawson, A. Staniforth, A. A. White, and N. Wood, 2005: A new dynamical core for the Met Office's global and regional modeling of the atmosphere. Quart. J. Roy. Meteor. Soc., 131, 1759-1782. DOI |
41 | Done, J., C. A. Davis, and M. L. Weisman, 2004: The next generation of NWP: Explicit forecasts of convection using the Weather Research and Forecasting (WRF) model. Atmos. Sci. Lett., 5, 110-117, doi:10.1002/asl.72. DOI |
42 | Done, J. M., G. C. Craig, S. L. Gray, and P. A. Clark, 2012: Case-to-case variability of predictability of deep convection in a mesoscale model. Quart. J. Roy. Meteor. Soc., 138, 638-648, doi:10.1002/qj.943 DOI |
43 | Du, J., S. L. Mullen, and F. Sanders, 1997: Short-range ensemble forecasting of quantitative precipitation. Mon. Wea. Rev., 125, 2427-2459. DOI |