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Volumn 140, Issue 5, 2012, Pages 1539-1557

Application of a WRF mesoscale data assimilation system to springtime severe weather events 2007-09

Author keywords

Data assimilation; Ensembles

Indexed keywords

COLD POOL; DATA ASSIMILATION; DATA ASSIMILATION SYSTEMS; DRYLINES; ENSEMBLE DATA ASSIMILATION; ENSEMBLE FORECASTS; ENSEMBLE KALMAN FILTER; ENSEMBLES; GRID POINTS; IMPROVED FORECAST; MESOSCALE; MESOSCALE CONVECTIVE SYSTEM; MESOSCALE FEATURES; ROOT-MEAN SQUARE ERRORS; SEVERE WEATHER; SEVERE WEATHER EVENTS; SHORT PERIODS; SURFACE OBSERVATION; WEATHER RESEARCH AND FORECASTING MODELS;

EID: 84864943518     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-11-00106.1     Document Type: Article
Times cited : (24)

References (42)
  • 1
    • 0035655814 scopus 로고    scopus 로고
    • An ensemble adjustment Kalman filter for data assimilation
    • Anderson, J. L., 2001: An ensemble adjustment Kalman filter for data assimilation. Mon. Wea. Rev., 129, 2884-2903.
    • (2001) Mon. Wea. Rev. , vol.129 , pp. 2884-2903
    • Anderson, J.L.1
  • 2
    • 34548625197 scopus 로고    scopus 로고
    • Scalable implementations of ensemble filter algorithms for data assimilation
    • Anderson, J. L., and N. Collins, 2007: Scalable implementations of ensemble filter algorithms for data assimilation. J. Atmos. Oceanic Technol., 24, 1452-1463.
    • (2007) J. Atmos. Oceanic Technol. , vol.24 , pp. 1452-1463
    • Anderson, J.L.1    Collins, N.2
  • 4
    • 0022831164 scopus 로고
    • A new convective adjustment scheme. Part II Single column tests usingGATEwave, BOMEX, and arctic air-mass data sets
    • Betts, A. K., and M. J. Miller, 1986: A new convective adjustment scheme. Part II: Single column tests usingGATEwave, BOMEX, and arctic air-mass data sets. Quart. J. Roy. Meteor. Soc., 112, 693-709.
    • (1986) Quart. J. Roy. Meteor. Soc. , vol.112 , pp. 693-709
    • Betts, A.K.1    Miller, M.J.2
  • 5
    • 0003969010 scopus 로고
    • An efficient thermal infrared radiation parameterization for use in general circulation models
    • 104606
    • Chou, M.-D., and M. J. Suarez, 1994: An efficient thermal infrared radiation parameterization for use in general circulation models. NASA Tech. Memo. 104606, 85 pp.
    • (1994) NASA Tech. Memo. , pp. 85
    • Chou, M.-D.1    Suarez, M.J.2
  • 6
    • 34447623234 scopus 로고    scopus 로고
    • Forecasting the maintenance of quasi-linear mesoscale convective systems
    • Coniglio, M. C., H. E. Brooks, S. J. Weiss, and S. F. Corfidi, 2007: Forecasting the maintenance of quasi-linear mesoscale convective systems. Wea. Forecasting, 22, 556-570.
    • (2007) Wea. Forecasting , vol.22 , pp. 556-570
    • Coniglio, M.C.1    Brooks, H.E.2    Weiss, S.J.3    Corfidi, S.F.4
  • 7
    • 4444315259 scopus 로고    scopus 로고
    • Wind and temperature retrievals in the 17 May 1981 Arcadia, Oklahoma, supercell Ensemble Kalman filter experiments
    • Dowell, D. C., F. Zhang, L. J. Wicker, C. Snyder, and N. A. Crook, 2004: Wind and temperature retrievals in the 17 May 1981 Arcadia, Oklahoma, supercell: Ensemble Kalman filter experiments. Mon. Wea. Rev., 132, 1982-2005.
    • (2004) Mon. Wea. Rev. , vol.132 , pp. 1982-2005
    • Dowell, D.C.1    Zhang, F.2    Wicker, L.J.3    Snyder, C.4    Crook, N.A.5
  • 8
    • 0024921060 scopus 로고
    • Numerical study of convection observed during the winter monsoon experiment using a mesoscale twodimensional model
    • Dudhia, J., 1989: Numerical study of convection observed during the winter monsoon experiment using a mesoscale twodimensional model. J. Atmos. Sci., 46, 3077-3107.
    • (1989) J. Atmos. Sci. , vol.46 , pp. 3077-3107
    • Dudhia, J.1
  • 10
    • 0028193070 scopus 로고
    • Sequential data assimilation with a nonlinear quasigeostrophic model using Monte Carlo methods to forecast error statistics
    • 10 162
    • Evensen, G., 1994: Sequential data assimilation with a nonlinear quasigeostrophic model using Monte Carlo methods to forecast error statistics. J. Geophys. Res., 99 (C5), 10 143-10 162.
    • (1994) J. Geophys. Res , vol.99 , Issue.C5 , pp. 143-210
    • Evensen, G.1
  • 11
    • 34249707809 scopus 로고    scopus 로고
    • Surface data assimilation using an ensemble Kalman filter approach with initial condition and model physics uncertainty
    • Fujita, T., D. J. Stensrud, and D. C. Dowell, 2007: Surface data assimilation using an ensemble Kalman filter approach with initial condition and model physics uncertainty. Mon. Wea. Rev., 135, 1846-1868.
    • (2007) Mon. Wea. Rev. , vol.135 , pp. 1846-1868
    • Fujita, T.1    Stensrud, D.J.2    Dowell, D.C.3
  • 12
    • 0033023511 scopus 로고    scopus 로고
    • Construction of correlation functions in two and three dimensions
    • Gaspari, G., and S. E. Cohn, 1999: Construction of correlation functions in two and three dimensions. Quart. J. Roy. Meteor. Soc., 125, 723-757.
    • (1999) Quart. J. Roy. Meteor. Soc. , vol.125 , pp. 723-757
    • Gaspari, G.1    Cohn, S.E.2
  • 13
    • 0037101740 scopus 로고    scopus 로고
    • A generalized approach to parameterizing convection combining ensemble and data assimilation techniques
    • doi:10.1029/ 2002GL015311
    • Grell, G. A., and D. Dévényi, 2002: A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophys. Res. Lett., 29, 1693, doi:10.1029/ 2002GL015311.
    • (2002) Geophys. Res. Lett , vol.29 , pp. 1693
    • Grell, G.A.1    Dévényi, D.2
  • 14
    • 28944444910 scopus 로고    scopus 로고
    • Ensemble Kalman filter assimilation of fixed screen-height observations in a parameterized PBL
    • Hacker, J. P., and C. Snyder, 2005: Ensemble Kalman filter assimilation of fixed screen-height observations in a parameterized PBL. Mon. Wea. Rev., 133, 3260-3275.
    • (2005) Mon. Wea. Rev. , vol.133 , pp. 3260-3275
    • Hacker, J.P.1    Snyder, C.2
  • 15
    • 0001704660 scopus 로고    scopus 로고
    • Nonlocal boundary layer vertical diffusion in a medium-range forecast model
    • Hong, S.-Y., and H.-L. Pan, 1996: Nonlocal boundary layer vertical diffusion in a medium-range forecast model. Mon. Wea. Rev., 124, 2322-2339.
    • (1996) Mon. Wea. Rev. , vol.124 , pp. 2322-2339
    • Hong, S.-Y.1    Pan, H.-L.2
  • 16
    • 1842587750 scopus 로고    scopus 로고
    • A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation
    • Hong, S.-Y., J. Dudhia, and S.-H. Chen, 2004: A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation. Mon. Wea. Rev., 132, 103-120.
    • (2004) Mon. Wea. Rev. , vol.132 , pp. 103-120
    • Hong, S.-Y.1    Dudhia, J.2    Chen, S.-H.3
  • 17
    • 33749016495 scopus 로고    scopus 로고
    • A new vertical diffusion package with an explicit treatment of entrainment processes
    • 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.
    • (2006) Mon. Wea. Rev. , vol.134 , pp. 2318-2341
    • Hong, S.-Y.1    Noh, Y.2    Dudhia, J.3
  • 18
    • 0032024819 scopus 로고    scopus 로고
    • Data assimilation using an ensemble Kalman filter technique
    • Houtekamer, P. L., and H. L. Mitchell, 1998: Data assimilation using an ensemble Kalman filter technique. Mon. Wea. Rev., 126, 796-811.
    • (1998) Mon. Wea. Rev. , vol.126 , pp. 796-811
    • Houtekamer, P.L.1    Mitchell, H.L.2
  • 19
    • 0025662461 scopus 로고
    • The step-mountain coordinate Physical package
    • Janjić, Z. I., 1990: The step-mountain coordinate: Physical package. Mon. Wea. Rev., 118, 1429-1443.
    • (1990) Mon. Wea. Rev. , vol.118 , pp. 1429-1443
    • Janjić, Z.I.1
  • 20
    • 0028607757 scopus 로고
    • The step-mountain eta coordinate model Further developments of the convection, viscous sublayer, and turbulence closure schemes
    • Janjić, Z. I., 1994: The step-mountain eta coordinate model: Further developments of the convection, viscous sublayer, and turbulence closure schemes. Mon. Wea. Rev., 122, 927-945.
    • (1994) Mon. Wea. Rev. , vol.122 , pp. 927-945
    • Janjić, Z.I.1
  • 21
    • 0004856410 scopus 로고    scopus 로고
    • The surface layer in the NCEP Eta Model. Preprints, 11th Conf. on Numerical Weather Prediction, Norfolk, VA
    • Janjić, Z. I., 1996: The surface layer in the NCEP Eta Model. Preprints, 11th Conf. on Numerical Weather Prediction, Norfolk, VA, Amer. Meteor. Soc., 354-355.
    • (1996) Amer. Meteor. Soc. , pp. 354-355
    • Janjić, Z.I.1
  • 23
  • 24
    • 0001014123 scopus 로고
    • Convective parameterization for mesoscale models The Kain-Fritsch scheme. The Representation of Cumulus Convection in Numerical Models
    • Kain, J. S., and J. M. Fritsch, 1993: Convective parameterization for mesoscale models: The Kain-Fritsch scheme. The Representation of Cumulus Convection in Numerical Models, Meteor. Monogr., No. 24, Amer. Meteor. Soc., 165-170.
    • (1993) Meteor. Monogr. Amer. Meteor. Soc. , vol.24 , pp. 165-170
    • Kain, J.S.1    Fritsch, J.M.2
  • 25
    • 34248364831 scopus 로고    scopus 로고
    • Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation Part II Imperfectmodel experiments
    • Meng, Z., and F. Zhang, 2007: Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part II: Imperfectmodel experiments.Mon. Wea. Rev., 135, 1403-1423.
    • (2007) Mon. Wea. Rev. , vol.135 , pp. 1403-1423
    • Meng, Z.1    Zhang, F.2
  • 26
    • 44449094042 scopus 로고    scopus 로고
    • Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part III Comparison with 3DVar in a real-data case study
    • Meng, Z., and F. Zhang, 2008a: Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part III: Comparison with 3DVar in a real-data case study. Mon. Wea. Rev., 136, 522-540.
    • (2008) Mon. Wea. Rev , vol.136 , pp. 522-540
    • Meng, Z.1    Zhang, F.2
  • 27
    • 57149138884 scopus 로고    scopus 로고
    • Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part IV Comparison with 3DVar in a month-long experiment
    • Meng, Z., and F. Zhang, 2008b: Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part IV: Comparison with 3DVar in a month-long experiment. Mon. Wea. Rev., 136, 3671-3682.
    • (2008) Mon. Wea. Rev , vol.136 , pp. 3671-3682
    • Meng, Z.1    Zhang, F.2
  • 28
    • 0027040023 scopus 로고
    • The National Meteorological Center's Spectral Statistical-Interpolation Analysis System
    • Parrish, D. F., and J. C. Derber, 1992: The National Meteorological Center's Spectral Statistical-Interpolation Analysis System. Mon. Wea. Rev., 120, 1747-1763.
    • (1992) Mon. Wea. Rev. , vol.120 , pp. 1747-1763
    • Parrish, D.F.1    Derber, J.C.2
  • 30
    • 0033208434 scopus 로고    scopus 로고
    • Importance of cold pools to NCEP mesoscale Eta Model forecasts
    • Stensrud, D. J., G. S. Manikin, E. Rogers, and K. E. Mitchell, 1999: Importance of cold pools to NCEP mesoscale Eta Model forecasts. Wea. Forecasting, 14, 650-670.
    • (1999) Wea. Forecasting , vol.14 , pp. 650-670
    • Stensrud, D.J.1    Manikin, G.S.2    Rogers, E.3    Mitchell, K.E.4
  • 31
    • 0033825565 scopus 로고    scopus 로고
    • Using initial condition and model physics perturbations in short-range ensemble simulations of mesoscale convective systems
    • Stensrud, D. J., J.-W. Bao, and T. T. Warner, 2000: Using initial condition and model physics perturbations in short-range ensemble simulations of mesoscale convective systems. Mon. Wea. Rev., 128, 2077-2107.
    • (2000) Mon. Wea. Rev. , vol.128 , pp. 2077-2107
    • Stensrud, D.J.1    Bao, J.-W.2    Warner, T.T.3
  • 33
    • 67349283548 scopus 로고    scopus 로고
    • Assimilating surface data into a mesoscale model ensemble Cold pool analyses from spring 2007
    • Stensrud, D. J., N. Yussouf, D. C. Dowell, and M. C. Coniglio, 2009: Assimilating surface data into a mesoscale model ensemble: Cold pool analyses from spring 2007. Atmos. Res., 93, 207-220.
    • (2009) Atmos. Res. , vol.93 , pp. 207-220
    • Stensrud, D.J.1    Yussouf, N.2    Dowell, D.C.3    Coniglio, M.C.4
  • 34
    • 1542645674 scopus 로고    scopus 로고
    • Explicit forecasts of winter precipitation using an improved bulk microphysics scheme Part I Description and sensitivity analysis
    • Thompson, G., R. M. Rasmussen, and K. Manning, 2004: Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part I: Description and sensitivity analysis. Mon. Wea. Rev., 132, 519-542.
    • (2004) Mon. Wea. Rev. , vol.132 , pp. 519-542
    • Thompson, G.1    Rasmussen, R.M.2    Manning, K.3
  • 36
    • 33748999011 scopus 로고    scopus 로고
    • Boundary conditions for limited-area ensemble Kalman filters
    • Torn, R. D., G. J. Hakim, and C. Snyder, 2006: Boundary conditions for limited-area ensemble Kalman filters. Mon. Wea. Rev., 134, 2490-2502.
    • (2006) Mon. Wea. Rev. , vol.134 , pp. 2490-2502
    • Torn, R.D.1    Hakim, G.J.2    Snyder, C.3
  • 37
    • 77955573220 scopus 로고    scopus 로고
    • The impact of assimilating surface pressure observations on severe weather events in a WRF mesoscale ensemble system
    • Wheatley, D. M., and D. J. Stensrud, 2010: The impact of assimilating surface pressure observations on severe weather events in a WRF mesoscale ensemble system. Mon. Wea. Rev., 138, 1673-1694.
    • (2010) Mon. Wea. Rev. , vol.138 , pp. 1673-1694
    • Wheatley, D.M.1    Stensrud, D.J.2
  • 38
    • 0036646009 scopus 로고    scopus 로고
    • Ensemble data assimilation without perturbed observations
    • Whitaker, J. S., and T. M. Hamill, 2002: Ensemble data assimilation without perturbed observations. Mon. Wea. Rev., 130, 1913-1924.
    • (2002) Mon. Wea. Rev. , vol.130 , pp. 1913-1924
    • Whitaker, J.S.1    Hamill, T.M.2
  • 40
    • 0036968196 scopus 로고    scopus 로고
    • Three-dimensional variational analysis with spatially inhomogeneous covariances
    • Wu, W.-S., R. J. Purser, and D. F. Parrish, 2002: Three-dimensional variational analysis with spatially inhomogeneous covariances. Mon. Wea. Rev., 130, 2905-2916.
    • (2002) Mon. Wea. Rev. , vol.130 , pp. 2905-2916
    • Wu, W.-S.1    Purser, R.J.2    Parrish, D.F.3
  • 41
    • 0034292476 scopus 로고    scopus 로고
    • A case study of the sensitivity of the Eta Data Assimilation System
    • Zapotocny, T. H., and et al, 2000: A case study of the sensitivity of the Eta Data Assimilation System. Wea. Forecasting, 15, 603-621.
    • (2000) Wea. Forecasting , vol.15 , pp. 603-621
    • Zapotocny, T.H.1
  • 42
    • 33645287288 scopus 로고    scopus 로고
    • Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part I Perfectmodel experiments
    • Zhang, F., Z. Meng, and A. Aksoy, 2006: Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part I: Perfectmodel experiments. Mon. Wea. Rev., 134, 722-736.
    • (2006) Mon. Wea. Rev. , vol.134 , pp. 722-736
    • Zhang, F.1    Meng, Z.2    Aksoy, A.3


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