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Volumn 145, Issue 4, 2017, Pages 1447-1471

Direct assimilation of radar reflectivity without tangent linear and adjoint of the nonlinear observation operator in the GSI-based EnVar system: Methodology and experiment with the 8 may 2003 Oklahoma City tornadic supercell

Author keywords

Cloud resolving models; Convective storms; Data assimilation; Radars Radar observations; Tornadoes; Variational analysis

Indexed keywords

CLOUDS; COST FUNCTIONS; FORECASTING; MATHEMATICAL OPERATORS; MIXING; RADAR; REFLECTION; STORMS; TORNADOES; VORTICITY;

EID: 85017139319     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-16-0231.1     Document Type: Article
Times cited : (98)

References (91)
  • 1
    • 68249141511 scopus 로고    scopus 로고
    • A multicase comparative assessment of the ensemble Kalman filter for assimilation of radar observations. Part I: Storm-scale analyses
    • Aksoy, A., D. C. Dowell, and C. Snyder, 2009: A multicase comparative assessment of the ensemble Kalman filter for assimilation of radar observations. Part I: Storm-scale analyses. Mon. Wea. Rev., 137, 1805-1824, doi:10.1175/2008MWR2691.1
    • (2009) Mon. Wea. Rev , vol.137 , pp. 1805-1824
    • Aksoy, A.1    Dowell, D.C.2    Snyder, C.3
  • 2
    • 0030440247 scopus 로고    scopus 로고
    • The Local Analysis and Prediction System (LAPS): Analyses of clouds, precipitation, and temperature
    • Albers, S. C., J. A. McGinley, D. L. Birkenheuer, and J. R. Smart, 1996: The Local Analysis and Prediction System (LAPS): Analyses of clouds, precipitation, and temperature. Wea. Forecasting, 11, 273-287, doi:10.1175/1520-0434(1996)011<0273:TLAAPS>2.0.CO;2
    • (1996) Wea. Forecasting , vol.11 , pp. 273-287
    • Albers, S.C.1    McGinley, J.A.2    Birkenheuer, D.L.3    Smart, J.R.4
  • 3
    • 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, doi:10.1175/JTECH2049.1
    • (2007) J. Atmos. Oceanic Technol , vol.24 , pp. 1452-1463
    • Anderson, J.L.1    Collins, N.2
  • 4
    • 84966430621 scopus 로고    scopus 로고
    • A North American hourly assimilation and model forecast cycle: The Rapid Refresh
    • Benjamin, S. G., and Coauthors, 2016: A North American hourly assimilation and model forecast cycle: The Rapid Refresh. Mon. Wea. Rev., 144, 1669-1694, doi:10.1175/MWR-D-15-0242.1
    • (2016) Mon. Wea. Rev , vol.144 , pp. 1669-1694
    • Benjamin, S.G.1
  • 9
    • 24144470136 scopus 로고    scopus 로고
    • A comparison between the 4DVAR and the ensemble Kalman filter techniques for radar data assimilation
    • Caya, A., J. Sun, and C. Snyder, 2005: A comparison between the 4DVAR and the ensemble Kalman filter techniques for radar data assimilation. Mon. Wea. Rev., 133, 3081-3094, doi:10.1175/MWR3021.1
    • (2005) Mon. Wea. Rev , vol.133 , pp. 3081-3094
    • Caya, A.1    Sun, J.2    Snyder, C.3
  • 10
    • 0035303091 scopus 로고    scopus 로고
    • Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity
    • Chen, F., and J. Dudhia, 2001: Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity. Mon. Wea. Rev., 129, 569-585, doi:10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2
    • (2001) Mon. Wea. Rev , vol.129 , pp. 569-585
    • Chen, F.1    Dudhia, J.2
  • 12
    • 84857090702 scopus 로고    scopus 로고
    • Impact of the environmental low-level wind profile on ensemble forecasts of the 4 May 2007 Greensburg, Kansas, tornadic storm and associated mesocyclones
    • Dawson, D. T., II, L. J. Wicker, E. R. Mansell, and R. L. Tanamachi, 2012: Impact of the environmental low-level wind profile on ensemble forecasts of the 4 May 2007 Greensburg, Kansas, tornadic storm and associated mesocyclones. Mon. Wea. Rev., 140, 696-716, doi:10.1175/MWR-D-11-00008.1
    • (2012) Mon. Wea. Rev , vol.140 , pp. 696-716
    • Dawson, D.T.1    Wicker, L.J.2    Mansell, E.R.3    Tanamachi, R.L.4
  • 13
  • 15
    • 68249144065 scopus 로고    scopus 로고
    • Additive noise for storm-scale ensemble data assimilation
    • Dowell, D. C., and L. J. Wicker, 2009: Additive noise for storm-scale ensemble data assimilation. J. Atmos. Oceanic Technol., 26, 911-927, doi:10.1175/2008JTECHA1156.1
    • (2009) J. Atmos. Oceanic Technol , vol.26 , pp. 911-927
    • Dowell, D.C.1    Wicker, L.J.2
  • 16
    • 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, doi:10.1175/1520-0493(2004)132<1982:WATRIT>2.0.CO;2
    • (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
  • 17
    • 79951643932 scopus 로고    scopus 로고
    • Ensemble Kalman filter assimilation of radar observations of the 8 May 2003 Oklahoma City supercell: Influences of reflectivity observations on storm-scale analyses
    • Dowell, D. C., L. J. Wicker, and C. Snyder, 2011: Ensemble Kalman filter assimilation of radar observations of the 8 May 2003 Oklahoma City supercell: Influences of reflectivity observations on storm-scale analyses. Mon. Wea. Rev., 139, 272-294, doi:10.1175/2010MWR3438.1
    • (2011) Mon. Wea. Rev , vol.139 , pp. 272-294
    • Dowell, D.C.1    Wicker, L.J.2    Snyder, C.3
  • 18
    • 0024921060 scopus 로고
    • Numerical study of convection observed during the Winter Monsoon Experiment using a mesoscale two-dimensional model
    • Dudhia, J., 1989: Numerical study of convection observed during the Winter Monsoon Experiment using a mesoscale two-dimensional model. J. Atmos. Sci., 46, 3077-3107, doi:10.1175/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2
    • (1989) J. Atmos. Sci , vol.46 , pp. 3077-3107
    • Dudhia, J.1
  • 19
    • 74549158775 scopus 로고    scopus 로고
    • Neighborhood verification: A strategy for rewarding close forecasts
    • Ebert, E., 2009: Neighborhood verification: A strategy for rewarding close forecasts. Wea. Forecasting, 24, 1498-1510, doi:10.1175/2009WAF2222251.1
    • (2009) Wea. Forecasting , vol.24 , pp. 1498-1510
    • Ebert, E.1
  • 20
    • 64149125840 scopus 로고    scopus 로고
    • Surface characteristics of observed cold pools
    • Engerer, N. A., D. J. Stensrud, and M. C. Coniglio, 2008: Surface characteristics of observed cold pools. Mon. Wea. Rev., 136, 4839-4849, doi:10.1175/2008MWR2528.1
    • (2008) Mon. Wea. Rev , vol.136 , pp. 4839-4849
    • Engerer, N.A.1    Stensrud, D.J.2    Coniglio, M.C.3
  • 21
    • 44449142391 scopus 로고    scopus 로고
    • An efficient dual-resolution approach for ensemble data assimilation and tests with simulated Doppler radar data
    • Gao, J., and M. Xue, 2008: An efficient dual-resolution approach for ensemble data assimilation and tests with simulated Doppler radar data. Mon. Wea. Rev., 136, 945-963, doi:10.1175/2007MWR2120.1
    • (2008) Mon. Wea. Rev , vol.136 , pp. 945-963
    • Gao, J.1    Xue, M.2
  • 22
    • 84858253081 scopus 로고    scopus 로고
    • Assimilation of reflectivity data in a convective-scale, cycled 3DVAR framework with hydrometeor classification
    • Gao, J., and D. J. Stensrud, 2012: Assimilation of reflectivity data in a convective-scale, cycled 3DVAR framework with hydrometeor classification. J. Atmos. Sci., 69, 1054-1065, doi:10.1175/JAS-D-11-0162.1
    • (2012) J. Atmos. Sci , vol.69 , pp. 1054-1065
    • Gao, J.1    Stensrud, D.J.2
  • 23
    • 3943064234 scopus 로고    scopus 로고
    • Precipitation and evolution sensitivity in simulated deep convective storms: Comparisons between liquid-only and simple ice and liquid phase microphysics
    • Gilmore, M. S., J. M. Straka, and E. N. Rasmussen, 2004: Precipitation and evolution sensitivity in simulated deep convective storms: Comparisons between liquid-only and simple ice and liquid phase microphysics. Mon. Wea. Rev., 132, 1897-1916, doi:10.1175/1520-0493(2004)132<1897:PAESIS>2.0.CO;2
    • (2004) Mon. Wea. Rev , vol.132 , pp. 1897-1916
    • Gilmore, M.S.1    Straka, J.M.2    Rasmussen, E.N.3
  • 24
    • 84864832297 scopus 로고    scopus 로고
    • Accounting for skewness in ensemble data assimilation
    • Hodyss, D., 2012: Accounting for skewness in ensemble data assimilation. Mon. Wea. Rev., 140, 2346-2358, doi:10.1175/MWR-D-11-00198.1
    • (2012) Mon. Wea. Rev , vol.140 , pp. 2346-2358
    • Hodyss, D.1
  • 25
    • 33748988978 scopus 로고    scopus 로고
    • The WRF single-moment 6-class microphysics scheme (WSM6)
    • Hong, S. Y., and J. O. J. Lim, 2006: The WRF single-moment 6-class microphysics scheme (WSM6). J. Korean Meteor. Soc., 42 (2), 129-151
    • (2006) J. Korean Meteor. Soc , vol.42 , Issue.2 , pp. 129-151
    • Hong, S.Y.1    Lim, J.O.J.2
  • 26
    • 33847418021 scopus 로고    scopus 로고
    • Impact of configurations of rapid intermittent assimilation of WSR-88D radar data for the 8 May 2003 Oklahoma City tornadic thunderstorm case
    • Hu, M., and M. Xue, 2007: Impact of configurations of rapid intermittent assimilation of WSR-88D radar data for the 8 May 2003 Oklahoma City tornadic thunderstorm case. Mon. Wea. Rev., 135, 507-525, doi:10.1175/MWR3313.1
    • (2007) Mon. Wea. Rev , vol.135 , pp. 507-525
    • Hu, M.1    Xue, M.2
  • 27
    • 33645323212 scopus 로고    scopus 로고
    • 3DVAR and cloud analysis with WSR-88D level-II data for the prediction of the Fort Worth, Texas, tornadic thunderstorms. Part I: Cloud analysis and its impact
    • Hu, M., M. Xue, and K. Brewster, 2006: 3DVAR and cloud analysis with WSR-88D level-II data for the prediction of the Fort Worth, Texas, tornadic thunderstorms. Part I: Cloud analysis and its impact. Mon. Wea. Rev., 134, 675-698, doi:10.1175/MWR3092.1
    • (2006) Mon. Wea. Rev , vol.134 , pp. 675-698
    • Hu, M.1    Xue, M.2    Brewster, K.3
  • 28
    • 0025662461 scopus 로고
    • The step-mountain coordinate: Physical package
    • Janjic, Z. I., 1990: The step-mountain coordinate: Physical package. Mon. Wea. Rev., 118, 1429-1443, doi:10.1175/1520-0493(1990)118<1429:TSMCPP>2.0.CO;2
    • (1990) Mon. Wea. Rev , vol.118 , pp. 1429-1443
    • Janjic, Z.I.1
  • 29
    • 0028607757 scopus 로고
    • The step-mountain eta coordinate model: Further developments of the convection, viscous sublayer, and turbulence closure schemes
    • Janjic, 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, doi:10.1175/1520-0493(1994)122<0927:TSMECM>2.0.CO;2
    • (1994) Mon. Wea. Rev , vol.122 , pp. 927-945
    • Janjic, Z.I.1
  • 30
    • 34547565356 scopus 로고    scopus 로고
    • Nonsingular implementation of the Mellor-Yamada level 2.5 scheme in the NCEP Meso model
    • Janjic, Z. I., 2002: Nonsingular implementation of the Mellor-Yamada level 2.5 scheme in the NCEP Meso model. NCEP Office Note 437, 61 pp
    • (2002) NCEP Office Note , vol.437 , pp. 61
    • Janjic, Z.I.1
  • 31
    • 84867956885 scopus 로고    scopus 로고
    • Verification and calibration of neighborhood and object-based probabilistic precipitation forecasts from a multimodel convection-allowing ensemble
    • Johnson, A., and X. Wang, 2012: Verification and calibration of neighborhood and object-based probabilistic precipitation forecasts from a multimodel convection-allowing ensemble. Mon. Wea. Rev., 140, 3054-3077, doi:10.1175/MWR-D-11-00356.1
    • (2012) Mon. Wea. Rev , vol.140 , pp. 3054-3077
    • Johnson, A.1    Wang, X.2
  • 32
    • 84943413562 scopus 로고    scopus 로고
    • A comparison of multiscale GSI-based EnKF and 3DVar data assimilation using radar and conventional observations for midlatitude convective-scale precipitation forecasts
    • Johnson, A., X. Wang, J. R. Carley, L. J. Wicker, and C. Karstens, 2015: A comparison of multiscale GSI-based EnKF and 3DVar data assimilation using radar and conventional observations for midlatitude convective-scale precipitation forecasts. Mon. Wea. Rev., 143, 3087-3108, doi:10.1175/MWR-D-14-00345.1
    • (2015) Mon. Wea. Rev , vol.143 , pp. 3087-3108
    • Johnson, A.1    Wang, X.2    Carley, J.R.3    Wicker, L.J.4    Karstens, C.5
  • 33
    • 44949158026 scopus 로고    scopus 로고
    • Assimilation of simulated polarimetric radar data for a convective storm using the ensemble Kalman filter. Part II: Impact of polarimetric data on storm analysis
    • Jung, Y., M. Xue, G. Zhang, and J. M. Straka, 2008: Assimilation of simulated polarimetric radar data for a convective storm using the ensemble Kalman filter. Part II: Impact of polarimetric data on storm analysis. Mon. Wea. Rev., 136, 2246-2260, doi:10.1175/2007MWR2288.1
    • (2008) Mon. Wea. Rev , vol.136 , pp. 2246-2260
    • Jung, Y.1    Xue, M.2    Zhang, G.3    Straka, J.M.4
  • 34
    • 84864949972 scopus 로고    scopus 로고
    • Ensemble Kalman filter analyses of the 29-30 May 2004 Oklahoma tornadic thunderstorm using one-and two-moment bulk microphysics schemes, with verification against polarimetric data
    • Jung, Y., M. Xue, and M. Tong, 2012: Ensemble Kalman filter analyses of the 29-30 May 2004 Oklahoma tornadic thunderstorm using one-and two-moment bulk microphysics schemes, with verification against polarimetric data. Mon. Wea. Rev., 140, 1457-1475, doi:10.1175/MWR-D-11-00032.1
    • (2012) Mon. Wea. Rev , vol.140 , pp. 1457-1475
    • Jung, Y.1    Xue, M.2    Tong, M.3
  • 35
    • 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. 46, Amer. Meteor. Soc., 165-170
    • (1993) Meteor. Monogr., No 46 Amer. Meteor. Soc , pp. 165-170
    • Kain, J.S.1    Fritsch, J.M.2
  • 36
    • 84921477315 scopus 로고    scopus 로고
    • An OSSE-based evaluation of hybrid variational-ensemble data assimilation for the NCEP GF. Part II: 4DEnVar and hybrid variants
    • Kleist, D. T., and K. Ide, 2015: An OSSE-based evaluation of hybrid variational-ensemble data assimilation for the NCEP GFS. Part II: 4DEnVar and hybrid variants. Mon. Wea. Rev., 143, 452-470, doi:10.1175/MWR-D-13-00350.1
    • (2015) Mon. Wea. Rev , vol.143 , pp. 452-470
    • Kleist, D.T.1    Ide, K.2
  • 37
    • 84939186234 scopus 로고    scopus 로고
    • A comparison of the impacts of radiosonde and AMSU radiance observations in GSI-based 3DEnsVar and 3DVar data assimilation systems for NCEP GFS
    • Kutty, G., and X. Wang, 2015: A comparison of the impacts of radiosonde and AMSU radiance observations in GSI-based 3DEnsVar and 3DVar data assimilation systems for NCEP GFS. Adv. Meteor., 2015, 280546, doi:10.1155/2015/280546
    • (2015) Adv. Meteor , vol.2015
    • Kutty, G.1    Wang, X.2
  • 38
    • 34447646505 scopus 로고    scopus 로고
    • The warning decision support system-integrated information
    • Lakshmanan, V., T. Smith, G. Stumpf, and K. Hondl, 2007: The warning decision support system-integrated information. Wea. Forecasting, 22, 596-612, doi:10.1175/WAF1009.1
    • (2007) Wea. Forecasting , vol.22 , pp. 596-612
    • Lakshmanan, V.1    Smith, T.2    Stumpf, G.3    Hondl, K.4
  • 40
    • 0020968202 scopus 로고
    • Bulk parameterization of the snow field in a cloud model
    • Lin, Y.-L., R. D. Farley, and H. D. Orville, 1983: Bulk parameterization of the snow field in a cloud model. J. Climate Appl. Meteor., 22, 1065-1092, doi:10.1175/1520-0450(1983)022<1065:BPOTSF>2.0.CO;2
    • (1983) J. Climate Appl. Meteor , vol.22 , pp. 1065-1092
    • Lin, Y.-L.1    Farley, R.D.2    Orville, H.D.3
  • 41
    • 53649085420 scopus 로고    scopus 로고
    • An ensemble-based four-dimensional variational data assimilation scheme. Part I: Technical formulation and preliminary test
    • Liu, C., Q. Xiao, and B. Wang, 2008: An ensemble-based four-dimensional variational data assimilation scheme. Part I: Technical formulation and preliminary test. Mon. Wea. Rev., 136, 3363-3373, doi:10.1175/2008MWR2312.1
    • (2008) Mon. Wea. Rev , vol.136 , pp. 3363-3373
    • Liu, C.1    Xiao, Q.2    Wang, B.3
  • 42
    • 68249159696 scopus 로고    scopus 로고
    • An ensemble-based four-dimensional variational data assimilation scheme. Part II: Observing System Simulation Experiments with the Advanced Research WRF (ARW)
    • Liu, C., Q. Xiao, and B. Wang, 2009: An ensemble-based four-dimensional variational data assimilation scheme. Part II: Observing System Simulation Experiments with the Advanced Research WRF (ARW). Mon. Wea. Rev., 137, 1687-1704, doi:10.1175/2008MWR2699.1
    • (2009) Mon. Wea. Rev , vol.137 , pp. 1687-1704
    • Liu, C.1    Xiao, Q.2    Wang, B.3
  • 43
    • 84975888044 scopus 로고
    • Analysis methods for numerical weather prediction
    • Lorenc, A. C., 1986: Analysis methods for numerical weather prediction. Quart. J. Roy. Meteor. Soc., 112, 1177-1194, doi:10.1002/qj.49711247414
    • (1986) Quart. J. Roy. Meteor. Soc , vol.112 , pp. 1177-1194
    • Lorenc, A.C.1
  • 44
    • 84890103692 scopus 로고    scopus 로고
    • Recommended nomenclature for EnVar data assimilation methods
    • Lorenc, A. C., 2013: Recommended nomenclature for EnVar data assimilation methods. Research Activities in Atmospheric and Oceanic Modelling, WGNE, 2 pp. [Available online at http://www.wcrp-climate.org/WGNE/BlueBook/2013/individual-articles/01_Lorenc_Andrew_EnVar_nomenclature.pdf.]
    • (2013) Research Activities in Atmospheric and Oceanic Modelling, WGNE , pp. 2
    • Lorenc, A.C.1
  • 45
    • 67651240349 scopus 로고    scopus 로고
    • Trade-offs between measurements accuracy and resolutions in configuring phased-array radar velocity scans for ensemble-based storm-scale data assimilation
    • Lu, H., and Q. Xu, 2009: Trade-offs between measurements accuracy and resolutions in configuring phased-array radar velocity scans for ensemble-based storm-scale data assimilation. J. Appl. Meteor. Climatol., 48, 1230-1244, doi:10.1175/2008JAMC2009.1
    • (2009) J. Appl. Meteor. Climatol , vol.48 , pp. 1230-1244
    • Lu, H.1    Xu, Q.2
  • 46
    • 85001950439 scopus 로고    scopus 로고
    • GSI-based ensemble-variational hybrid data assimilation for HWRF for hurricane initialization and prediction: Impact of various error covariances for airborne radar observation assimilation
    • Lu, X., X. Wang, Y. Li, M. Tong, and X. Ma, 2017: GSI-based ensemble-variational hybrid data assimilation for HWRF for hurricane initialization and prediction: Impact of various error covariances for airborne radar observation assimilation. Quart. J. Roy. Meteor. Soc., 143, 223-239, doi:10.1002/qj.2914
    • (2017) Quart. J. Roy. Meteor. Soc , vol.143 , pp. 223-239
    • Lu, X.1    Wang, X.2    Li, Y.3    Tong, M.4    Ma, X.5
  • 47
    • 0032173186 scopus 로고    scopus 로고
    • The occurrence of tornadoes in supercells interacting with boundaries during VORTEX-95
    • Markowski, P. M., E. N. Rasmussen, and J. M. Straka, 1998: The occurrence of tornadoes in supercells interacting with boundaries during VORTEX-95. Wea. Forecasting, 13, 852-859, doi:10.1175/1520-0434(1998)013<0852:TOOTIS>2.0.CO;2
    • (1998) Wea. Forecasting , vol.13 , pp. 852-859
    • Markowski, P.M.1    Rasmussen, E.N.2    Straka, J.M.3
  • 48
    • 0020330926 scopus 로고
    • Development of a turbulence closure model for geophysical fluid problems
    • Mellor, G. L., and T. Yamada, 1982: Development of a turbulence closure model for geophysical fluid problems. Rev. Geophys. Space Phys., 20, 851-875, doi:10.1029/RG020i004p00851
    • (1982) Rev. Geophys. Space Phys , vol.20 , pp. 851-875
    • Mellor, G.L.1    Yamada, T.2
  • 49
    • 80053213295 scopus 로고    scopus 로고
    • Heterogeneous convective-scale background error covariances with the inclusion of hydrometeor variables
    • Michel, Y., T. Auligné, and T. Montmerle, 2011: Heterogeneous convective-scale background error covariances with the inclusion of hydrometeor variables. Mon. Wea. Rev., 139, 2994-3015, doi:10.1175/2011MWR3632.1
    • (2011) Mon. Wea. Rev , vol.139 , pp. 2994-3015
    • Michel, Y.1    Auligné, T.2    Montmerle, T.3
  • 50
    • 35548997083 scopus 로고    scopus 로고
    • Improving short-range high-resolution model precipitation forecast skill using time-lagged ensembles
    • Mittermaier, M., 2007: Improving short-range high-resolution model precipitation forecast skill using time-lagged ensembles. Quart. J. Roy. Meteor. Soc., 133, 1487-1500, doi:10.1002/qj.135
    • (2007) Quart. J. Roy. Meteor. Soc , vol.133 , pp. 1487-1500
    • Mittermaier, M.1
  • 51
    • 0000453046 scopus 로고    scopus 로고
    • Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave
    • 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, 16 663-16 682, doi:10.1029/97JD00237
    • (1997) J. Geophys. Res , vol.102 , pp. 16663-16682
    • Mlawer, E.J.1    Taubman, S.J.2    Brown, P.D.3    Iacono, M.J.4    Clough, S.A.5
  • 52
    • 84957812807 scopus 로고    scopus 로고
    • A localized particle filter for high-dimensional nonlinear systems
    • Poterjoy, J., 2016: A localized particle filter for high-dimensional nonlinear systems. Mon. Wea. Rev., 144, 59-76, doi:10.1175/MWR-D-15-0163.1
    • (2016) Mon. Wea. Rev , vol.144 , pp. 59-76
    • Poterjoy, J.1
  • 53
    • 85017129029 scopus 로고    scopus 로고
    • Convective-scale data assimilation in the Weather Research and Forecasting model using a nonlinear ensemble filter
    • Vienna, Austria, EGU
    • Poterjoy, J., J. Anderson, and R. Sobash, 2016: Convective-scale data assimilation in the Weather Research and Forecasting model using a nonlinear ensemble filter. EGU General Assembly Conference Abstracts, Vol. 18, Vienna, Austria, EGU, 13429
    • (2016) EGU General Assembly Conference Abstracts, Vol , vol.18 , pp. 13429
    • Poterjoy, J.1    Anderson, J.2    Sobash, R.3
  • 54
    • 33645978720 scopus 로고    scopus 로고
    • Development of NAVDAS-AR: Non-linear formulation and outer loop tests
    • Rosmond, T., and L. Xu, 2006: Development of NAVDAS-AR: Non-linear formulation and outer loop tests. Tellus, 58A, 45-58, doi:10.1111/j.1600-0870.2006.00148.x
    • (2006) Tellus , vol.58A , pp. 45-58
    • Rosmond, T.1    Xu, L.2
  • 55
    • 77953584929 scopus 로고    scopus 로고
    • Toward improved convection-allowing ensembles: Model physics sensitivities and optimizing probabilistic guidance with small ensemble membership
    • Schwartz, C. S., and Coauthors, 2010: Toward improved convection-allowing ensembles: Model physics sensitivities and optimizing probabilistic guidance with small ensemble membership. Wea. Forecasting, 25, 263-280, doi:10.1175/2009WAF2222267.1
    • (2010) Wea. Forecasting , vol.25 , pp. 263-280
    • Schwartz, C.S.1
  • 56
    • 84855793798 scopus 로고    scopus 로고
    • Analysis of a tornadic mesoscale convective vortex based on ensemble Kalman filter assimilation of CASA X-band and WSR-88D radar data
    • Snook, N., M. Xue, and Y. Jung, 2011: Analysis of a tornadic mesoscale convective vortex based on ensemble Kalman filter assimilation of CASA X-band and WSR-88D radar data. Mon. Wea. Rev., 139, 3446-3468, doi:10.1175/MWR-D-10-05053.1
    • (2011) Mon. Wea. Rev , vol.139 , pp. 3446-3468
    • Snook, N.1    Xue, M.2    Jung, Y.3
  • 57
    • 84864858858 scopus 로고    scopus 로고
    • Ensemble probabilistic forecasts of a tornadic mesoscale convective system from ensemble Kalman filter analyses using WSR-88D and CASA radar data
    • Snook, N., M. Xue, and J. Jung, 2012: Ensemble probabilistic forecasts of a tornadic mesoscale convective system from ensemble Kalman filter analyses using WSR-88D and CASA radar data. Mon. Wea. Rev., 140, 2126-2146, doi:10.1175/MWR-D-11-00117.1
    • (2012) Mon. Wea. Rev , vol.140 , pp. 2126-2146
    • Snook, N.1    Xue, M.2    Jung, J.3
  • 58
    • 0141571533 scopus 로고    scopus 로고
    • Assimilation of simulated Doppler radar observations with an ensemble Kalman filter
    • Snyder, C., and F. Zhang, 2003: Assimilation of simulated Doppler radar observations with an ensemble Kalman filter. Mon. Wea. Rev., 131, 1663-1677, doi:10.1175//2555.1
    • (2003) Mon. Wea. Rev , vol.131 , pp. 1663-1677
    • Snyder, C.1    Zhang, F.2
  • 59
    • 0141539307 scopus 로고    scopus 로고
    • Impact of cloud analysis on numerical weather prediction in the Galician region of Spain
    • Souto, M. J., C. F. Balseiro, V. Pérez-Muñuzuri, M. Xue, and K. Brewster, 2003: Impact of cloud analysis on numerical weather prediction in the Galician region of Spain. J. Appl. Meteor., 42, 129-140, doi:10.1175/1520-0450(2003)042<0129:IOCAON>2.0.CO;2
    • (2003) J. Appl. Meteor , vol.42 , pp. 129-140
    • Souto, M.J.1    Balseiro, C.F.2    Pérez-Muñuzuri, V.3    Xue, M.4    Brewster, K.5
  • 60
    • 77955530820 scopus 로고    scopus 로고
    • Importance of horizontally inhomogeneous environmental initial conditions to ensemble storm-scale radar data assimilation and very short range forecasts
    • Stensrud, D. J., and J. Gao, 2010: Importance of horizontally inhomogeneous environmental initial conditions to ensemble storm-scale radar data assimilation and very short range forecasts. Mon. Wea. Rev., 138, 1250-1272, doi:10.1175/2009MWR3027.1
    • (2010) Mon. Wea. Rev , vol.138 , pp. 1250-1272
    • Stensrud, D.J.1    Gao, J.2
  • 61
    • 84874349872 scopus 로고    scopus 로고
    • Progress and challenges with Warn-on-Forecast
    • Stensrud, D. J., and Coauthors, 2013: Progress and challenges with Warn-on-Forecast. Atmos. Res., 123, 2-16, doi:10.1016/j.atmosres.2012.04.004
    • (2013) Atmos. Res , vol.123 , pp. 2-16
    • Stensrud, D.J.1
  • 62
    • 34250012195 scopus 로고    scopus 로고
    • Convective-scale assimilation of radar data: Progress and challenges
    • Sun, J., 2005: Convective-scale assimilation of radar data: Progress and challenges. Quart. J. Roy. Meteor. Soc., 131, 3439-3463, doi:10.1256/qj.05.149
    • (2005) Quart. J. Roy. Meteor. Soc , vol.131 , pp. 3439-3463
    • Sun, J.1
  • 63
    • 0031399793 scopus 로고    scopus 로고
    • Dynamical and microphysical retrieval from Doppler radar observations using a cloud model and its adjoint. Part I: Model development and simulated data experiments
    • Sun, J., and N. A. Crook, 1997: Dynamical and microphysical retrieval from Doppler radar observations using a cloud model and its adjoint. Part I: Model development and simulated data experiments. J. Atmos. Sci., 54, 1642-1661, doi:10.1175/1520-0469(1997)054<1642:DAMRFD>2.0.CO;2
    • (1997) J. Atmos. Sci , vol.54 , pp. 1642-1661
    • Sun, J.1    Crook, N.A.2
  • 64
    • 0031806784 scopus 로고    scopus 로고
    • Dynamical and microphysical retrieval from Doppler radar observations using a cloud model and its adjoint. Part II: Retrieval experiments of an observed Florida convective storm
    • Sun, J., and N. A. Crook, 1998: Dynamical and microphysical retrieval from Doppler radar observations using a cloud model and its adjoint. Part II: Retrieval experiments of an observed Florida convective storm. J. Atmos. Sci., 55, 835-852, doi:10.1175/1520-0469(1998)055<0835:DAMRFD>2.0.CO;2
    • (1998) J. Atmos. Sci , vol.55 , pp. 835-852
    • Sun, J.1    Crook, N.A.2
  • 65
    • 84880717046 scopus 로고    scopus 로고
    • Radar data assimilation with WRF 4D-Va. Part II: Comparison with 3D-Var for a squall line over the U.S
    • Sun, J., and H. Wang, 2013: Radar data assimilation with WRF 4D-Var. Part II: Comparison with 3D-Var for a squall line over the U.S. Great Plains. Mon. Wea. Rev., 141, 2245-2264, doi:10.1175/MWR-D-12-00169.1
    • (2013) Great Plains. Mon. Wea. Rev , vol.141 , pp. 2245-2264
    • Sun, J.1    Wang, H.2
  • 66
    • 24744470639 scopus 로고    scopus 로고
    • Probabilistic precipitation forecasts from a deterministic model: A pragmatic approach
    • Theis, S. E., A. Hense, and U. Damrath, 2005: Probabilistic precipitation forecasts from a deterministic model: A pragmatic approach. Meteor. Appl., 12, 257-268, doi:10.1017/S1350482705001763
    • (2005) Meteor. Appl , vol.12 , pp. 257-268
    • Theis, S.E.1    Hense, A.2    Damrath, U.3
  • 67
    • 46749105418 scopus 로고    scopus 로고
    • Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part II: Implementation of a new snow parameterization
    • Thompson, G., P. R. Field, R. M. Rasmussen, and W. R. Hall, 2008: Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part II: Implementation of a new snow parameterization. Mon. Wea. Rev., 136, 5095-5115, doi:10.1175/2008MWR2387.1
    • (2008) Mon. Wea. Rev , vol.136 , pp. 5095-5115
    • Thompson, G.1    Field, P.R.2    Rasmussen, R.M.3    Hall, W.R.4
  • 68
    • 84932197996 scopus 로고    scopus 로고
    • A comparison between the Local Ensemble Transform Kalman Filter and the Ensemble Square Root Filter for the assimilation of radar data in convective-scale models
    • Thompson, T. E., L. J. Wicker, X. Wang, and C. Potvin, 2015: A comparison between the Local Ensemble Transform Kalman Filter and the Ensemble Square Root Filter for the assimilation of radar data in convective-scale models. Quart. J. Roy. Meteor. Soc., 141, 1163-1176, doi:10.1002/qj.2423
    • (2015) Quart. J. Roy. Meteor. Soc , vol.141 , pp. 1163-1176
    • Thompson, T.E.1    Wicker, L.J.2    Wang, X.3    Potvin, C.4
  • 69
    • 24144494208 scopus 로고    scopus 로고
    • Ensemble Kalman filter assimilation of Doppler radar data with a compressible nonhydrostatic model: OSS experiments
    • Tong, M., and M. Xue, 2005: Ensemble Kalman filter assimilation of Doppler radar data with a compressible nonhydrostatic model: OSS experiments. Mon. Wea. Rev., 133, 1789-1807, doi:10.1175/MWR2898.1
    • (2005) Mon. Wea. Rev , vol.133 , pp. 1789-1807
    • Tong, M.1    Xue, M.2
  • 70
    • 84876802377 scopus 로고    scopus 로고
    • Indirect assimilation of radar reflectivity with WRF 3D-Var and its impact on prediction of four summertime convective events
    • Wang, H., J. Sun, S. Fan, and X.-Y. Huang, 2013: Indirect assimilation of radar reflectivity with WRF 3D-Var and its impact on prediction of four summertime convective events. J. Appl. Meteor. Climatol., 52, 889-902, doi:10.1175/JAMC-D-12-0120.1
    • (2013) J. Appl. Meteor. Climatol , vol.52 , pp. 889-902
    • Wang, H.1    Sun, J.2    Fan, S.3    Huang, X.-Y.4
  • 71
    • 84880706767 scopus 로고    scopus 로고
    • Radar data assimilation with WRF 4D-Var. Part I: System development and preliminary testing
    • Wang, H., J. Sun, X. Zhang, X. Huang, and T. Auligne, 2013: Radar data assimilation with WRF 4D-Var. Part I: System development and preliminary testing. Mon. Wea. Rev., 141, 2224-2244, doi:10.1175/MWR-D-12-00168.1
    • (2013) Mon. Wea. Rev , vol.141 , pp. 2224-2244
    • Wang, H.1    Sun, J.2    Zhang, X.3    Huang, X.4    Auligne, T.5
  • 72
    • 77958457237 scopus 로고    scopus 로고
    • Incorporating ensemble covariance in the Gridpoint Statistical Interpolation (GSI) variational minimization: A mathematical framework
    • Wang, X., 2010: Incorporating ensemble covariance in the Gridpoint Statistical Interpolation (GSI) variational minimization: A mathematical framework. Mon. Wea. Rev., 138, 2990-2995, doi:10.1175/2010MWR3245.1
    • (2010) Mon. Wea. Rev , vol.138 , pp. 2990-2995
    • Wang, X.1
  • 73
    • 84906861966 scopus 로고    scopus 로고
    • GSI-based four dimensional ensemble-variational (4DEnsVar) data assimilation: Formulation and single-resolution experiments with real data for NCEP Global Forecast System
    • Wang, X., and T. Lei, 2014: GSI-based four dimensional ensemble-variational (4DEnsVar) data assimilation: Formulation and single-resolution experiments with real data for NCEP Global Forecast System. Mon. Wea. Rev., 142, 3303-3325, doi:10.1175/MWR-D-13-00303.1
    • (2014) Mon. Wea. Rev , vol.142 , pp. 3303-3325
    • Wang, X.1    Lei, T.2
  • 74
    • 84888405318 scopus 로고    scopus 로고
    • GSI 3DVar-based ensemble-variational hybrid data assimilation for NCEP Global Forecast System: Single-resolution experiments
    • Wang, X., D. Parrish, D. Kleist, and J. S. Whitaker, 2013: GSI 3DVar-based ensemble-variational hybrid data assimilation for NCEP Global Forecast System: Single-resolution experiments. Mon. Wea. Rev., 141, 4098-4117, doi:10.1175/MWR-D-12-00141.1
    • (2013) Mon. Wea. Rev , vol.141 , pp. 4098-4117
    • Wang, X.1    Parrish, D.2    Kleist, D.3    Whitaker, J.S.4
  • 76
    • 70450189423 scopus 로고    scopus 로고
    • Assimilation of radar reflectivity data using a diabatic digital filter within the Rapid Update Cycle
    • Weygandt, S. S., S. G. Benjamin, T. G. Smirnova, and J. M. Brown, 2008: Assimilation of radar reflectivity data using a diabatic digital filter within the Rapid Update Cycle. 12th Conf. on IOAS-AOLS, New Orleans, LA, Amer. Meteor. Soc., 8.4. [Available online at https://ams.confex.com/ams/pdfpapers/134081.pdf.]
    • (2008) 12th Conf. on IOAS-AOLS, New Orleans, LA, Amer. Meteor. Soc , vol.8 , Issue.4
    • Weygandt, S.S.1    Benjamin, S.G.2    Smirnova, T.G.3    Brown, J.M.4
  • 77
    • 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, doi:10.1175/1520-0493(2002)130<1913:EDAWPO>2.0.CO;2
    • (2002) Mon. Wea. Rev , vol.130 , pp. 1913-1924
    • Whitaker, J.S.1    Hamill, T.M.2
  • 78
    • 84867956219 scopus 로고    scopus 로고
    • Evaluating methods to account for system errors in ensemble data assimilation
    • Whitaker, J. S., and T. M. Hamill, 2012: Evaluating methods to account for system errors in ensemble data assimilation. Mon. Wea. Rev., 140, 3078-3089, doi:10.1175/MWR-D-11-00276.1
    • (2012) Mon. Wea. Rev , vol.140 , pp. 3078-3089
    • Whitaker, J.S.1    Hamill, T.M.2
  • 79
    • 44449095043 scopus 로고    scopus 로고
    • Ensemble data assimilation with the NCEP Global Forecast System
    • Whitaker, J. S., T. M. Hamill, X. Wei, Y. Song, and Z. Toth, 2008: Ensemble data assimilation with the NCEP Global Forecast System. Mon. Wea. Rev., 136, 463-482, doi:10.1175/2007MWR2018.1
    • (2008) Mon. Wea. Rev , vol.136 , pp. 463-482
    • Whitaker, J.S.1    Hamill, T.M.2    Wei, X.3    Song, Y.4    Toth, Z.5
  • 80
    • 24044451491 scopus 로고    scopus 로고
    • Assimilation of Doppler radar observations with a regional 3DVAR system: Impact of Doppler velocities on forecasts of a heavy rainfall case
    • Xiao, Q., Y. Kuo, J. Sun, W. Lee, E. Lim, Y.-R. Guo, and D. M. Barker, 2005: Assimilation of Doppler radar observations with a regional 3DVAR system: Impact of Doppler velocities on forecasts of a heavy rainfall case. J. Appl. Meteor., 44, 768-788, doi:10.1175/JAM2248.1
    • (2005) J. Appl. Meteor , vol.44 , pp. 768-788
    • Xiao, Q.1    Kuo, Y.2    Sun, J.3    Lee, W.4    Lim, E.5    Guo, Y.-R.6    Barker, D.M.7
  • 81
    • 33846794790 scopus 로고    scopus 로고
    • An approach of radar reflectivity data assimilation and its assessment with the inland QPF of Typhoon Rusa (2002) at landfall
    • Xiao, Q., Y. Kuo, J. Sun, W. Lee, D. M. Barker, and L. Eunha, 2007: An approach of radar reflectivity data assimilation and its assessment with the inland QPF of Typhoon Rusa (2002) at landfall. J. Appl. Meteor. Climatol., 46, 14-22, doi:10.1175/JAM2439.1
    • (2007) J. Appl. Meteor. Climatol , vol.46 , pp. 14-22
    • Xiao, Q.1    Kuo, Y.2    Sun, J.3    Lee, W.4    Barker, D.M.5    Eunha, L.6
  • 82
    • 52149120489 scopus 로고    scopus 로고
    • Time-expanded sampling for ensemble Kalman filter: Assimilation experiments with simulated radar observations
    • Xu, Q., H. Lu, S. Gao, M. Xue, and M. Tong, 2008: Time-expanded sampling for ensemble Kalman filter: Assimilation experiments with simulated radar observations. Mon. Wea. Rev., 136, 2651-2667, doi:10.1175/2007MWR2185.1
    • (2008) Mon. Wea. Rev , vol.136 , pp. 2651-2667
    • Xu, Q.1    Lu, H.2    Gao, S.3    Xue, M.4    Tong, M.5
  • 83
    • 0344898900 scopus 로고    scopus 로고
    • The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilation
    • Xue, M., D.-H. Wang, J.-D. 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, doi:10.1007/s00703-001-0595-6
    • (2003) Meteor. Atmos. Phys , vol.82 , pp. 139-170
    • Xue, M.1    Wang, D.-H.2    Gao, J.-D.3    Brewster, K.4    Droegemeier, K.K.5
  • 84
    • 70349592525 scopus 로고    scopus 로고
    • Simultaneous state estimation and attenuation correction for thunderstorms with radar data using an ensemble Kalman filter: Tests with simulated data
    • Xue, M., M. Tong, and G. Zhang, 2009: Simultaneous state estimation and attenuation correction for thunderstorms with radar data using an ensemble Kalman filter: Tests with simulated data. Quart. J. Roy. Meteor. Soc., 135, 1409-1423, doi:10.1002/qj.453
    • (2009) Quart. J. Roy. Meteor. Soc , vol.135 , pp. 1409-1423
    • Xue, M.1    Tong, M.2    Zhang, G.3
  • 85
    • 77953185686 scopus 로고    scopus 로고
    • Impact of phased-array radar observations over a short assimilation period: Observing system simulation experiments using an ensemble Kalman filter
    • Yussouf, N., and D. J. Stensrud, 2010: Impact of phased-array radar observations over a short assimilation period: Observing system simulation experiments using an ensemble Kalman filter. Mon. Wea. Rev., 138, 517-538, doi:10.1175/2009MWR2925.1
    • (2010) Mon. Wea. Rev , vol.138 , pp. 517-538
    • Yussouf, N.1    Stensrud, D.J.2
  • 86
    • 84884941215 scopus 로고    scopus 로고
    • The ensemble Kalman filter analyses and forecasts of the 8 May 2003 Oklahoma City tornadic supercell storm using single-and double-moment microphysics schemes
    • Yussouf, N., E. R. Mansell, L. J. Wicker, D. M. Wheatley, and D. J. Stensrud, 2013: The ensemble Kalman filter analyses and forecasts of the 8 May 2003 Oklahoma City tornadic supercell storm using single-and double-moment microphysics schemes. Mon. Wea. Rev., 141, 3388-3412, doi:10.1175/MWR-D-12-00237.1
    • (2013) Mon. Wea. Rev , vol.141 , pp. 3388-3412
    • Yussouf, N.1    Mansell, E.R.2    Wicker, L.J.3    Wheatley, D.M.4    Stensrud, D.J.5
  • 87
    • 68249160487 scopus 로고    scopus 로고
    • Cloud-resolving hurricane initialization and prediction through assimilation of Doppler radar observations with an ensemble Kalman filter
    • Zhang, F., Y. Weng, J. A. Sippel, Z. Meng, and C. H. Bishop, 2009: Cloud-resolving hurricane initialization and prediction through assimilation of Doppler radar observations with an ensemble Kalman filter. Mon. Wea. Rev., 137, 2105-2125, doi:10.1175/2009MWR2645.1
    • (2009) Mon. Wea. Rev , vol.137 , pp. 2105-2125
    • Zhang, F.1    Weng, Y.2    Sippel, J.A.3    Meng, Z.4    Bishop, C.H.5
  • 90
    • 84897497658 scopus 로고    scopus 로고
    • Sensitivities of tornadogenesis to drop size distribution in a simulated subtropical supercell over eastern China
    • Zheng, K., and B. Chen, 2014: Sensitivities of tornadogenesis to drop size distribution in a simulated subtropical supercell over eastern China. Adv. Atmos. Sci., 31, 657-668, doi:10.1007/s00376-013-3143-7
    • (2014) Adv. Atmos. Sci , vol.31 , pp. 657-668
    • Zheng, K.1    Chen, B.2
  • 91
    • 24944523803 scopus 로고    scopus 로고
    • Maximum likelihood ensemble filter: Theoretical aspects
    • Zupanski, M., 2005: Maximum likelihood ensemble filter: Theoretical aspects. Mon. Wea. Rev., 133, 1710-1726, doi:10.1175/MWR2946.1
    • (2005) Mon. Wea. Rev , vol.133 , pp. 1710-1726
    • Zupanski, M.1


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