Displaying 68 Publications (most recent, first) begining date: 2003-11-24 to end date: 2009-11-22

 Zagar, N., J. J. Tribbia, J. L. Anderson, K. Raeder, 2009: Uncertainties of estimates of inertio-gravity energy in the atmosphere. Part I: Intercomparison of four analysis systems. Mon. Wea. Rev., doi: 10.1175/2009MWR2815.1

 Zagar, N., J. J. Tribbia, J. L. Anderson, K. Raeder, 2009: Uncertainties of estimates of inertio-gravity energy in the atmosphere. Part II: Large-scale equatorial waves. Mon. Wea. Rev., doi: 10.1175/2009MWR2816.1

 Anderson, J. L., T. Hoar, K. Raeder, N. Collins, R. Torn, A. F. Arellano, 2009: The Data Assimilation Research Testbed: A community data assimilation facility. Bull. Amer. Meteor. Soc., 90, doi: 10.1175/2009BAMS2618.1, 1283-1296

 Dikpati, M., G. de Toma, P. A. Gilman, J. L. Anderson, R. K. Ulrich, J. E. Boyden, 2009: Sequential data-assimilation in a flux-transport dynamo model. Bulletin of the American Astronomical Society, 827

 Anderson, J. L., N. Collins, J. Hacker, G. Romine, C. Snyder, H. Liu, T. Hoar, D. C. Dowell, R. Torn, 2009: DART/WRF: A community mesoscale ensemble data assimilation facility. 13th Conf. on Mesoscale Processes

 Stensrud, D. J., N. Yussouf, D. C. Dowell, M. C. Coniglio, 2009: Assimilating surface data into a mesoscale model ensemble. Atmos. Res., 93, doi: 10.1016/j.atmosres.2008.10.009, 207-220

 Anderson, J. L., T. Hoar, N. Collins, K. Raeder, H. Liu, 2009: A community data assimilation facility for confronting climate GCMs with observations. 14th Annu. Community Clim. Syst. Model (CCSM) Workshop

 Jun, L., H. Liu, 2009: Improved hurricane track and intensity forecast using single field-of-view advanced IR sounding measurements. Geophys. Res. Lett., 36, doi: 10.1029/2009GL038285, L11813

 Aksoy, A., D. C. Dowell, 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, doi: 10.1175/2008MWR2691.1, 1805-1824

 French, M. M., H. B. Bluestein, L. J. Wicker, D. C. Dowell, M. R. Kramar, 2009: An example of the use of mobile, Doppler radar data for tornado verification. Wea. Forecasting, 24, doi: 10.1175/2008WAF2222147.1, 884-891

 Anderson, J. L., 2009: Ensemble Kalman filters for large geophysical applications. IEEE Cntrl. Sys. Mag., 29, doi: 10.1109/MCS.2009.932222, 66-82

 Dowell, D. C., L. Wicker, 2009: Additive noise for storm-scale ensemble data assimilation. J. Atmos. Ocean. Technol., 26, doi: 10.1175/2008JTECHA1156.1, 911-927

 Wood, V. T., R. A. Brown, D. C. Dowell, 2009: Simulated WSR-88D velocity and reflectivity signatures of numerically-modeled tornadoes. J. Atmos. Ocean. Technol., 26, doi: 10.1175/2008JTECHA1181.1, 876-893

 Thomas, S. J., J. Hacker, J. L. Anderson, 2009: A robust formulation of the ensemble Kalman filter. Quart. J. Roy. Meteor. Soc., 135, doi: 10.1002/qj.372, 507-521

 Anderson, J. L., T. Hoar, K. Raeder, N. Collins, H. Liu, 2009: DART: A community facility for ensemble data assimilation. 13th Conf. on Integr. Obs. and Assim. Syst. for Atmos., Ocean, and Land Surf., P1.5

 Kuo, Y., H. Liu, Y. Guo, C. Terng, Y. Lin, 2009: Impact for FORMOSAT-3/COSMIC data on typhoon and Mei-yu prediction. Recent Progress in Atmospheric Sciences: Applications to the Asia-Pacific Region, 458-483

 Huang, X., Q. Xiao, D. M. Barker, X. Zhang, J. Michalakes, W. Huang, T. Henderson, J. Bray, Y. Chen, Z. Ma, J. Dudhia, Y. Guo, X. Zhang, D. Won, H. Lin, Y. Kuo, 2009: Four-dimensional variational data assimilation for WRF: Formulation and preliminary results. Mon. Wea. Rev., 137, doi: 10.1175/2008MWR2577.1, 299-314

 Anderson, J. L., 2009: Spatially and temporally varying adaptive covariance inflation for ensemble filters. Tellus, 61A, doi: 10.1111/j.1600-0870.2008.00361.x, 72-83

 Anderson, J. L., T. Hoar, N. Collins, K. Raeder, H. Liu, 2008: A community data assimilation facility for confronting climate GCMs with observations. AGU Fall Meet.

 French, M. M., H. B. Bluestein, D. C. Dowell, L. J. Wicker, M. R. Kramar, A. L. Pazmany, 2008: High-resolution, mobile, Doppler radar observations of cyclic mesocyclogenesis in a supercell. Mon. Wea. Rev., 136, doi: 10.1175/2008MWR2407.1, 4997-5016

 Wang, X., D. M. Barker, C. Snyder, T. M. Hamill, 2008: A hybrid ETKF-3DVAR data assimilation scheme for the WRF model. Part I: Observing system simulation experiment. Mon. Wea. Rev., 136, doi: 10.1175/2008MWR2444.1, 5116-5131

 Wang, X., D. M. Barker, C. Snyder, T. M. Hamill, 2008: A hybrid ETKF-3DVAR data assimilation scheme for the WRF model. Part II: Real observation experiments. Mon. Wea. Rev., 136, doi: 10.1175/2008MWR2445.1, 5132-5147

 Malmberg, A., A. F. Arellano, D. P. Edwards, N. Flyer, D. W. Nychka, C. Wikle, 2008: Interpolating fields of carbon monoxide data using a hybrid statistical-physical model. Annals of Applied Statistics, 2, doi: 10.1214/08-AOAS168SUPP, 1231-1248

 Snyder, C., T. Bengtsson, P. Bickel, J. L. Anderson, 2008: Obstacles to high-dimensional particle filtering. Mon. Wea. Rev., 136, doi: 10.1175/2008MWR2529.1, 4629-4640

 Santer, B. D., P. W. Thorne, L. Haimberger, K. E. Taylor, T. M. L. Wigley, J. R. Lazante, S. Solomon, M. Free, P. J. Gleckler, P. D. Jones, T. Karl, S. A. Klein, C. Mears, D. W. Nychka, G. A. Schmidt, S. C. Sherwood, F. J. Wentz, 2008: Consistency of modelled and observed temperature trends in the tropical troposphere. Int. J. Climat., 28, doi: 10.1002/joc.1756, 1703-1722

 Majcen, M., P. Markowski, Y. Richardson, D. C. Dowell, J. Wurman, 2008: Multipass objective analyses of Doppler radar data. J. Atmos. Ocean. Technol., 25, doi: 10.1175/2008JTECHA1089.1, 1845-1858

 Kuo, Y., H. Liu, Y. Guo, C. Terng, Y. Lin, 2008: Impact of FORMOSAT-3/COSMIC data on typhoon and Mei-yu prediction. National Taiwan University (NTU) Department of Atmospheric Sciences 50th Anniversary Book (In Press)

 Fujita, T., D. J. Stensrud, D. C. Dowell, 2008: Using precipitation observations in a mesoscale short-range ensemble analysis and forecasting system. Wea. Forecasting, 23, doi: 10.1175/2007WAF2006108.1, 357-372

 Duane, G., J. J. Tribbia, 2007: Dynamical synchronization of truth and model as an approach to data assimilation, parameter estimation and model learning. Adv. Nonlinear Dynamics Geosci., 302

 Li, B., D. W. Nychka, C. M. Ammann, 2007: The Hockey Stick and the 1990s: A statistical perspective on reconstructing hemispheric temperatures. Tellus, 59, doi: 10.1111/j.1600-0870.2007.00270, 591-598

 Anderson, J. L., N. Collins, 2007: Scalable implementations of ensemble filtering algorithms for data assimilation. J. Atmos. Ocean. Technol., 24, doi: 10.1175/JTECH2049.1, 1452-1463

 Liu, H., J. Anderson, Y. Kuo, C. Snyder, A. Caya, 2007: Evaluation of a non-local observation operator in assimilation of CHAMP radio occultation refractivity with WRF. Mon. Wea. Rev. (Submitted)

 Arellano Jr., A. F., K. Raeder, J. L. Anderson, P. G. Hess, L. K. Emmons, D. P. Edwards, G. G. Pfister, T. L. Campos, G. W. Sachse, 2007: Evaluating model performance of an ensemble-based chemical data assimilation system during INTEX-B field mission. Atmos. Chem. Phys. Discuss., 7, 9717-9767

 Aksoy, A., D. C. Dowell, C. Snyder, 2007: A multi-case study of ensemble-based assimilation of radar observations into cloud-resolving WRF using DART. 18th Conf. Num. Wea. Pred.

 Huang, X., Q. Xiao, X. Zhang, J. Michalakes, W. Huang, D. M. Barker, J. Bray, Z. Ma, T. Henderson, J. Dudhia, X. Zhang, D. Won, Y. Chen, Y. Guo, H. Lin, Y. Kuo, 2007: 4-Dimensional variational data assimilation for the weather research and forecasting model. 22nd Conf. Wea. Anal. and Forecasting/18th Conf. Num. Wea. Pred.

 Anderson, J., 2007: Exploring the need for localization in ensemble data assimilation using a hierarchical ensemble filter. Physica D, 230, doi: 10.1016/j.physd.2006.02.011, 99-111

 Zhang, F., C. Snyder, 2007: Ensemble-based data assimilation. Bull. Amer. Meteor. Soc., 88(4), 565-568

 Anderson, J., 2007: An adaptive covariance inflation error correction algorithm for ensemble filters. Tellus, 59A, doi: 10.1111/j.1600-0870.2006.00216.x, 210-224

 Liu, H., J. L. Anderson, Y. Kuo, K. Raeder, 2007: Importance of forecast error multivariate correlations in idealized assimilations of GPS radio occultation data with the ensemble adjustment filter. Mon. Wea. Rev., 135, doi: 10.1175/MWR3270.1, 173-185

 Furrer, E., D. W. Nychka, 2007: A framework to understand the asymptotic properties of Kriging and splines. J. Korean Stat. Soc., 36, 57-76

 Furrer, R., S. R. Sain, D. Nychka, G. A. Meehl, 2007: Multivariate Bayesian analysis of atmosphere-ocean general circulation models. Environmental and Ecological Statistics, 14(3), doi: 10.1007/s10651-007-0018-z, 249-266

 Furrer, R., R. Knutti, S. R. Sain, D. W. Nychka, G. A. Meehl, 2007: Spatial patterns of probabilistic temperature change projections from a multivariate Bayesian analysis. Geophys. Res. Lett., 34, doi: 10.10.1029/2006GL027754, L06711

 Hacker, J. P., J. L. Anderson, M. Pagowski, 2007: Improved vertical covariance estimates for ensemble-filter assimilation of near-surface observations. Mon. Wea. Rev., 135, 1021-1036

 Sain, S. R., J. Shrikant, L. Mearns, D. Nychka, 2006: A multivariate spatial model for soil water profiles. J. Agric., Biolog., and Environ. Stats., 11, doi: 10.1198/108571106X154957, 462-480

 Duane, G. S., J. J. Tribbia, J. B. Weiss, 2006: Synchronicity in predictive modelling: A new view of data assimilation. Nonlin. Proc. Geophys., 13, 601

 Ahijevych, D., G. Bryan, M. Weisman, S. Trier, C. Davis, D. Dowell, 2006: Composite bow echo observed during BAMEX. 23rd Conf. on Severe Local Storms

 Furrer, R., M. Genton, D. Nychka, 2006: Covariance tapering for interpolation of large spatial datasets. J. Computat. Graph. Stats., 15, 502-523

 Khare, S. P., J. L. Anderson, 2006: An examination of ensemble filter based adaptive observation methodologies. Tellus, 58, doi: 10.1111/j.1600-0870.2006.00200.x, 179-195

 Liu, H., J. L. Anderson, Y. Kuo, C. Snyder, A. Caya, 2006: Exploring the application of radio occultation measurements in improving analyses in cases of hurricane with the WRF/DART ensemble data assimilation system. Mon. Wea. Rev. (Submitted)

 Liu, H., J. L. Anderson, Y. Kuo, 2006: Assimilation of GPS RO data with an ensemble filter. Mon. Wea. Rev. (In Press)

 Matsuo, T., H. L. Liu, J. L. Anderson, D. Marsh, A. K. Smith, 2006: On model error growth in applications of an ensemble Kalman filter to the mesosphere and lower thermosphere region. J. Geophys. Res. (Submitted)

 Hacker, J. P., C. Snyder, 2005: Data assimilation of fixed-screen height observations in a parameterized PBL. Mon. Wea. Rev., 133, 3260-3275

 Caya, A., J. Sun, C. Snyder, 2005: A comparison between the 4D-Var and the ensemble Kalman filter techniques for radar data assimilation. Mon. Wea. Rev., 133, 3081-3094

 Barker, D. M., Y. Guo, W. Huang, H. Huang, S. Rizvi, Q. Xiao, M. S. Lee, 2005: WRF-VAR - A unified 3/4D-Var data assimilation system for WRF. 6th WRF/15th MM5 Users' Wkshp, 10.1

 Barker, D. M., M. Lee, J. Gu, Y. Guo, W. Huang, S. Rizvi, Q. Xiao, H. Huang, 2005: WRF variational data assimilation development at NCAR. 6th WRF/15th MM5 Users' Wkshp

 Huang, X., Q. Xiao, W. Huang, D. M. Barker, Y. Kuo, J. Michalakes, Z. Ma, 2005: The Weather Research and Forecasting model based 4-dimensional variational data assimilation system. 6th WRF/15th MM5 Users' Wkshp

 Barker, D. M., Y. Kuo, Q. Xiao, S. R. H. Rizvi, W. Huang, 2004: Development of a unified three-dimensional variational (3D-Var) data assimilation scheme. KMA Final Report, 60 pgs

 Crook, N. A., D. Dowell, J. Sun, Y. Zhang, 2004: Assimilation of radar observations of a supercell using 4DVar: Parameter retrieval experiments. 22nd Conf. on Severe Local Storms, 8A.2

 Meehl, G. A., C. Tebaldi, D. Nychka, 2004: Changes in frost days in simulations of 21st century climate. Clim. Dyn., 23, 495-511

 Davis, C., N. Atkins, D. Bartels, L. Bosart, M. Coniglio, G. Bryan, W. Cotton, D. Dowell, B. Jewett, R. Johns, D. Jorgensen, J. Knievel, K. Knupp, W. Lee, G. McFarquhar, J. Moore, R. Przybylinski, R. Rauber, B. Smull, R. Trapp, S. Trier, R. Wakimoto, M. Weisman, C. Ziegler, 2004: The Bow Echo and MCV Experiment (BAMEX): Observations and Opportunities. Bull. Amer. Meteor. Soc., 85, 1075-1093

 Anderson, J. L., V. Balaji, A. J. Broccoli, W. F. Cooke, T. L. Delworth, K. W. Dixon, L. J. Donner, K. A. Dunne, S. M. Freidenreich, S. T. Garner, R. G. Gudgel, C. T. Gordon, I. M. Held, R. S. Hemler, L. W. Horowitz, S. A. Klein, T. R. Knutson, P. J. Kushner, A. R. Langenhost, N. Lau, Z. Liang, S. L. Malyshev, P. C. D. Milly, M. J. Nath, J. J. Ploshay, V. Ramaswamy, M. D. Schwarzkopf, E. Shevliakova, J. J. Sirutis, B. J. Soden, W. F. Stern, G. Thompson, R. J. Wilson, A. T. Wittenberg, B. L. Wyman, 2004: The new GFDL global atmosphere and land model AM2/LM2: Evaluation with prescribed SST simulations. J. Climate, 17, doi: 10.1175/JCLI-3223.1, 4641-4673

 Dowell, D., F. Zhang, L. J. Wicker, C. Snyder, 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

 Barker, D. M., M. Lee, Y. Guo, W. Huang, Q. Xiao, 2004: WRF variational data assimilation development at NCAR. 5th WRF/14th MM5 Users' Wkshp, 119-123

 Zhang, F., C. Snyder, J. Sun, 2004: Impacts of initial estimate and observations availability on convective-scale data assimilation with an ensemble-Kalman filter. Mon. Wea. Rev., 132, 1238-1253

 Barker, D. M., W. Huang, Y. Guo, A. J. Bourgeois, Q. Xiao, 2004: A three-dimensional (3DVAR) variational data assimilation system for MM5: implementation and initial results. Mon. Wea. Rev., 132, 897-914

 Zou, X., H. Liu, R. A. Anthes, H. Shao, J. C. Chang, Y. J. Zhu, 2004: Impact of CHAMP Radio Occultation Observations on Global Analysis and Forecasts in the Absence of AMSU Radiance Data. J. Meteor. Soc. Japan, 82, doi: 10.2151/jmsj.2004.533, pp.533-549

 Liu, H., X. Zou, 2003: Improvements to a GPS radio occultation ray-tracing model and their impacts on assimilation of bending angle. J. Geophys. Res., 108 (D17), doi: 10.1029/2002JD003160, 4548

 Bengtsson, T., C. Snyder, D. Nychka, 2003: Toward a nonlinear ensemble filter for high-dimensional systems. J. Geophys. Res., 108 (D24), doi: 10.1029/2002JD002900, 8775