Publications using DART

This list gets updated as frequently as possible, however some more recent publications may also be available on the UCAR/NCAR online database https://opensky.ucar.edu. Simply use it and search for "ensemble data assimilation" (for example). Many, if not most, are related to DART. The following list also contains some publications from our collaborators. If you would like to list your publication that uses DART, please let us know! (dart@ucar.edu)


To cite DART:


The DOI for DART is doi:10.5065/D6WQ0202


and the seminal reference is

Anderson, J. L., T. Hoar, K. Raeder, H. Liu, N. Collins, R. Torn and A. Arellano, 2009
The Data Assimilation Research Testbed: A Community Facility.
Bulletin of the American Meteorological Society, 90, 1283-1296  doi:10.1175/2009BAMS2618.1



2018, so far ..



El Gharamti M., 2018
Enhanced Adaptive Inflation Algorithm for Ensemble Filters.
Monthly Weather Review, 2, 623-640 doi:10.1175/MWR-D-17-0187.1

Karspeck, A. R., G. Danabasoglu, J. L. Anderson, S. Karol, N. Collins, M. Vertenstein, K. Raeder, T. Hoar, R. Neale, J. Edwards and A. Craig, 2018
A global coupled ensemble data assimilation system using the Community Earth System Model and the Data Assimilation Research Testbed.
Quarterly Journal of the Royal Meteorological Society doi:10.1002/qj.3308

Toye, H., S. Kortas, P. Zhan and I. Hoteit, 2018
A fault-tolerant HPC scheduler extension for large and operational ensemble data assimilation: Application to the Red Sea.
Journal of Computational Science, 27, 46-56 doi:10.1016/j.jocs.2018.04.018

Zhang, Y. -F., C. M. Bitz, J. L. Anderson, N. Collins, J. Hendricks, T. Hoar, K. Raeder and F. Massonnet, 2018
Insights on Sea Ice Data Assimilation from Perfect Model Observing System Simulation Experiments.
Journal of Climate doi:10.1175/JCLI-D-17-0904.1

Pedatella, N. M., H. ‐L. Liu, D. R. Marsh, K. Raeder, J. L. Anderson, J. L. Chau, L. P. Goncharenko and T. A. Siddiqui, 2018
Analysis and Hindcast Experiments of the 2009 Sudden Stratospheric Warming in WACCMX+ DART.
Journal of Geophysical Research: Space Physics, 123, 3131-3153 doi:10.1002/2017JA025107

Clark, A. J., I. L. Jirak, S. R. Dembek, G. J. Creager, F. Kong, K. W. Thomas, K. H. Knopfmeier, B. T. Gallo, C. J. Melick, M. Xue, and K. A. Brewster, 2018
The Community Leveraged Unified Ensemble (CLUE) in the 2016 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment.
Bulletin of the American Meteorological Society doi:10.1175/WAF-D-16-0178.1

Pan, S., J. Gao, D. J. Stensrud, X. Wang and T. A. Jones, 2018
Assimilation of Radar Radial Velocity and Reflectivity, Satellite Cloud Water Path, and Total Precipitable Water for Convective-Scale NWP in OSSEs.
Journal of Atmospheric and Oceanic Technology, 35, 67-89 doi:10.1175/JTECH-D-17-0081.1



2017



Lee, J. A., J. P. Hacker, L. Delle Monache, B. Kosović, A. Clifton, F. Vandenberghe and J. S. Rodrigo, 2017
Improving wind predictions in the marine atmospheric boundary layer through parameter estimation in a single-column model.
Monthly Weather Review, 145, 5-24 doi:10.1175/MWR-D-16-0063.1

Gu, S. -Y., H. Liu, N. M. Pedatella, X. Dou, and Y. Liu, 2017
On the wave number 2 eastward propagating quasi 2 day wave at middle and high latitudes.
Journal of Geophysical Research: Space Physics, 122, 4489-4499 doi:10.1002/2016JA023353

Hodyss, D., J. L. Anderson, N. Collins, W. F. Campbell and P. A. Reinecke, 2017
Quadratic polynomial regression using serial observation processing: Implementation within DART.
Monthly Weather Review, 145, 4467-4479 doi:10.1175/MWR-D-17-0089.1

Kwon, Y., Z. -L. Yang, T. J. Hoar and A. M. Toure, 2017
Improving the radiance assimilation performance in estimating snow water storage across snow and land-cover types in North America.
Journal of Hydrometeorology, 18, 651-668 doi:10.1175/JHM-D-16-0102.1

Keclik, A. M., C. Evans, P. J. Roebber and G. S. Romine, 2017
The influence of assimilated upstream, preconvective dropsonde observations on ensemble forecasts of convection initiation during the Mesoscale Predictability Experiment.
Monthly Weather Review, 145, 4747-4770 doi:10.1175/MWR-D-17-0159.1

Liu, X., A. P. Mizzi, J. L. Anderson, I. Y. Fung and R. C. Cohen, 2017
Assimilation of satellite NO2 observations at high spatial resolution using OSSEs.
Atmospheric Chemistry and Physics, 17, 7067-7081 doi:10.5194/acp-17-7067-2017

Ha, S., C. Snyder, W. C. Skamarock, J. Anderson and N. Collins, 2017
Ensemble Kalman filter data assimilation for the Model for Prediction Across Scales (MPAS).
Monthly Weather Review, 145, 4673-4692 doi:10.1175/MWR-D-17-0145.1

Rubin, J. I., J. S. Reid, J. A. Hansen, J. L. Anderson, B. N. Holben, P. Xian, D. L. Westphal and J. Zhang, 2017
Assimilation of AERONET and MODIS AOT observations using variational and ensemble data assimilation methods and its impact on aerosol forecasting skill.
Journal of Geophysical Research: Atmospheres, 122, 4967-4992 doi:10.1002/2016JD026067

Chen, C. ‐H., C. Lin, Wei. ‐H. Chen, and T. Matsuo, 2017
Modeling the ionospheric prereversal enhancement by using coupled thermosphere‐ionosphere data assimilation.
Geophysical Research Letters, 44, 1652-1659 doi:10.1002/2016GL071812

Poterjoy, J., R. A. Sobash and J. L. Anderson, 2017
Convective-scale data assimilation for the weather research and forecasting model using the local particle filter.
Monthly Weather Review, 145, 1897-1918 doi:10.1175/MWR-D-16-0298.1

Chen, C. ‐H., C. Lin, Wei. ‐H. Chen, T. Matsuo and W. H. Chen, 2017
The impact of FORMOSAT-5/AIP observations on the ionospheric space weather.
Terrestrial, Atmospheric and Oceanic Sciences, 28, 129-137 doi:10.3319/TAO.2016.09.30.01

Velden, C., W. E. Lewis, W. Bresky, D. Stettner, J. Daniels and S. Wanzong, 2017
Assimilation of high-resolution satellite-derived atmospheric motion vectors: Impact on HWRF forecasts of tropical cyclone track and intensity.
Monthly Weather Review, 145, 1107-1125 doi:10.1175/MWR-D-16-0229.1

Kerr, C. A., D. J. Stensrud and X. Wang, 2017
Verification of convection-allowing model ensemble analyses of near-storm environments using MPEX upsonde observations.
Monthly Weather Review, 145, 857-875 doi:10.1175/MWR-D-16-0287.1

Madaus, L. E. and C. F. Mass, 2017
Evaluating Smartphone Pressure Observations for Mesoscale Analyses and Forecasts.
Monthly Weather Review, 32, 511-531 doi:10.1175/WAF-D-16-0135.1



2016



Jewtoukoff, V., R. Plougonven, A. Hertzog, C. Snyder and G. Romine, 2016
On the prediction of stratospheric balloon trajectories: Improving winds with mesoscale simulations.
Journal of Atmospheric and Oceanic Technology, 33, 1629-1647 doi:10.1175/JTECH-D-15-0110.1

Gu, S. -Y., H. -L. Liu, N. M. Pedatella, X. Dou and Z. Shu, 2016
The quasi-2 day wave activities during 2007 boreal summer period as revealed by Whole Atmosphere Community Climate Model.
Journal of Geophysical Research: Space Physics, 121, 2743-2754 doi:10.1002/2015JA022225

Pedatella, N., J. Oberheide, E. K. Sutton, H. Liu, J. L. Anderson and K. D. Raeder, 2016
Short-term nonmigrating tide variability in the mesosphere, thermosphere, and ionosphere.
Journal of Geophysical Research: Space Physics, 121, 3621-3633 doi:10.1002/2016JA022528

Zhao, L., Z. -L. Yang and T. J. Hoar, 2016
Global soil moisture estimation by assimilating AMSR-E brightness temperatures in a coupled CLM4-RTM-DART system.
Journal of Hydrometeorology, 17, 2431-2454 doi:10.1175/JHM-D-15-0218.1

Dikpati, M., D. Mitra and J. L. Anderson, 2016
Role of response time of a Babcock-Leighton solar dynamo model in meridional flow-speed reconstruction by EnKF data assimilation.
Advances in Space Research, 58, 1589-1595 doi:10.1016/j.asr.2016.08.004

Mizzi, A. P., A. F. Arellano, D. P. Edwards, J. L. Anderson and G. Pfister, 2016
Assimilating compact phase space retrievals of atmospheric composition with WRF-Chem/DART: a regional chemical transport/ensemble Kalman filter data assimilation system.
Geoscientific Model Development, 9, 965-978 doi:10.5194/gmd-9-965-2016

Dikpati M., J. L. Anderson and D. Mitra, 2016
Data assimilation in a solar dynamo model using ensemble Kalman filters: Sensitivity and robustness in reconstruction of meridional flow speed.
The Astrophysical Journal, 828, 91 doi:10.3847/0004-637X/828/2/91

Penny, A. B., J. P. Hacker, P. A. Harr, 2016
Analysis of tropical storm formation based on ensemble data assimilation and high-resolution numerical simulations of a nondeveloping disturbance.
Monthly Weather Review, 144, 3631-3649 doi:10.1175/MWR-D-16-0100.1

Garcia, M., T. Hoar, M. Thomas, B. Bailey and J. Castillo, 2016
Interfacing an ensemble Data Assimilation system with a 3D nonhydrostatic Coastal Ocean Model, an OSSE experiment.
OCEANS MTS/IEEE Monterey, pp. 1-11 doi:10.1109/OCEANS.2016.7760992

Chartier, A. T., T. Matsuo, J. L. Anderson, N. S. Collins, T. J. Hoar, G. Lu, C. N. Mitchell, A. J. Coster, L. J. Paxton, G. S. Bust, 2016
Ionospheric data assimilation and forecasting during storms.
Journal of Geophysical Research: Space Physics, 121, 764-778 doi:10.1002/2014JA020799

Rubin, J. I., J. S. Reid, J. A. Hansen, J. L. Anderson, N. S. Collins, T. J. Hoar, T. Hogan, P. Lynch, J. McLay, Carolyn A. Reynolds, W. R. Sessions, D. L. Westphal and J. Zhang, 2016
Development of the Ensemble Navy Aerosol Analysis Prediction System (ENAAPS) and its application of the Data Assimilation Research Testbed (DART) in support of aerosol forecasting.
Atmospheric Chemistry and Physics, 15, 28069-28132 doi:10.5194/acpd-15-28069-2015



2015



Barre, J., B. Gaubert, A. F. J. Arellano, H. M. Worden, D. P. Edwards, M. Deeter, J. L. Anderson, K. D. Raeder, N. S. Collins, S. Tilmes, G. Francis, C. Clerbaux, L. Emmons, G. Pfister, P.-F. Coheur and D. Hurtmans, 2015
Assessing the impacts of assimilating IASI and MOPITT CO retrievals using CESM-CAM-chem and DART
Journal of Geophysical Research: Atmospheres, 120, no. 19 doi:10.1002/2015JD023467

Bernardet, L., V. Tallapragada, S. Bao, S. Trahan, Y. Kwon, Q. Liu, M. Tong, M. Biswas, T. Brown, D. Stark, L. Carson, R. Yablonsky, E. Uhlhorn, S. Gopalakrishnan, X. Zhang, T. Marchok, Y. H. Kuo and R. Gall, 2015
Community support and transition of research to operations for the Hurricane Weather Research and Forecasting Model.
Bulletin of the American Meteorological Society, 96, 953-960 doi:10.1175/BAMS-D-13-00093.1

Ha, S.-Y., J. Berner and C. M. Snyder, 2015
A comparison of model error representations in mesoscale ensemble data assimilation.
Monthly Weather Review, 143, 3893-3911 doi:10.1175/MWR-D-14-00395.1



2014



Wu, T.-C., H. Liu, S. J. Majumdar, C. S. Velden, J. L. Anderson, 2014
Influence of assimilating satellite-derived atmospheric motion vector observations on numerical analyses and forecasts of tropical cyclone track and intensity.
Monthly Weather Review, 142, 49-71 doi:10.1175/MWR-D-13-00023.1

Lei, L. and J. L. Anderson, 2014
Impacts of frequent assimilation of surface pressure observations on atmospheric analyses.
Monthly Weather Review, 142 4477-4483 doi:10.1175/MWR-D-14-00097.1

Dikpati, M., J. L. Anderson and D. Mitra, 2014
Ensemble Kalman filter data assimilation in a Babcock-Leighton solar dynamo model: An observation system simulation experiment for reconstructing meridional flow speed.
Geophysical Research Letters, 41 5361-5369 doi:10.3847/0004-637X/828/2/91

Ha, S.-Y. and C. Snyder, 2014
Influence of surface observations in mesoscale data assimilation using an ensemble Kalman filter.
Monthly Weather Review, 142 1489-1508 doi:10.1175/MWR-D-13-00108.1

Pedatella, N., K. D. Raeder, J. L. Anderson and H. Liu, 2014
Ensemble data assimilation in the Whole Atmosphere Community Climate Model.
Journal of Geophysical Research: Atmospheres, 119 9793-9809 doi:10.1002/2014JD021776

Zhang, Y.-F., T. J. Hoar, Z.-L. Yang, J. L. Anderson, A. M. Toure and M. Rodell, 2014
Assimilation of MODIS snow cover through the Data Assimilation Research Testbed and the Community Land Model version 4.
Journal of Geophysical Research: Atmospheres, 142 1489-1508 doi:10.1002/2013JD021329



2013



Hoteit, I., T. J. Hoar, G. Gopalakrishnan, N. Collins, J. L. Anderson, B. Cornuelle, A. Kohl and P. Heimbach, 2013
A MITgcm/DART ensemble analysis and prediction system with application to the Gulf of Mexico.
Dynamics of Atmospheres and Oceans, 63, 1-23 doi:10.1016/j.dynatmoce.2013.03.002

Hacker, J. and W. Angevine, 2013
Ensemble data assimilation to characterize surface-layer errors in numerical weather prediction models.
Monthly Weather Review, 141, 1804-1821 doi:10.1175/MWR-D-12-00280.1

Rostkier-Edelstein, D. and J. Hacker, 2013
Impact of flow-dependence, column covariance, and forecast-model type on surface-observations assimilation for probabilistic PBL-profiles nowcasts.
Weather Forecasting, 28, 29-54 doi:10.1175/WAF-D-12-00043.1

Morozov, A. V., A. J. Ridley, D. S. Bernstein, N. Collins, T. J. Hoar and J. L. Anderson, 2013
Data assimilation and driver estimation for the Global Ionosphere-Thermosphere Model using the Ensemble Adjustment Kalman Filter.
Journal of Atmospheric and Solar-Terrestrial Physics, 104, 126-136 doi:10.1016/j.jastp.2013.08.016

Morozov, A. V., A. J. Ridley, D. S. Bernstein, N. Collins, T. J. Hoar and J. L. Anderson, 2013
Development and verification of a new wind speed forecasting system using an ensemble Kalman filter data assimilation technique in a fully coupled hydrologic and atmospheric model.
Journal of Advances in Modeling Earth Systems, 5, 785-800 doi:10.1002/jame.20051

Romine, G. S., C. S. Schwartz, C. Snyder, J. L. Anderson and M. L. Weisman, 2013
Model bias in a continuously cycled assimilation system and its influence on convection-permitting forecasts.
Monthly Weather Review, 141, 1263-1284 doi:10.1175/MWR-D-12-00112.1



2012



Raeder, K, J. L., Anderson, N. Collins, T. J. Hoar, J. E. Kay, P. H., Lauritzen and R. Pincus, 2012
DART/CAM: An Ensemble Data Assimilation for CESM Atmospheric Models.
Journal of Climate, 25, 6304-6317 doi:10.1175/JCLI-D-11-00395.1

Dikpati, M. and J. L. Anderson, 2012
Evaluating potential for data assimilation in a flux-transport dynamo model by assessing sensitivity and response to meridional flow variation.
The Astrophysical Journal, 756 20 pp. 20 pp. doi:10.1088/0004-637X/756/1/20

Lee, I-Te, T. Matsuo, A. D. Richmond, J. Y. Liu, Wenbin Wang, C. H. Lin, J. L. Anderson and M. Q. Chen, 2012
Assimilation of FORMOSAT‐3/COSMIC electron density profiles into a coupled thermosphere/ionosphere model using ensemble Kalman filtering.
Journal of Geophysical Research: Space Physics, 117 A10 doi:10.1029/2012JA017700

Lauritzen, P. H., A. A. Mirin, J. Truesdale, K. Raeder, J. L. Anderson, J. Bacmeister and R. B. Neale, 2012
Implementation of new diffusion/filtering operators in the CAM-FV dynamical core.
The International Journal of High Performance Computing Applications, 26 63-73 doi:10.1177/1094342011410088



2011



Pendergrass, A. G., G. J. Hakim, D. S. Battisti and G. Roe, 2011
Coupled air-mixed-layer temperature predictability for climate reconstruction.
Journal of Climate, 25, 459-472 doi:10.1175/2011JCLI4094.1

Matsuo, T. and E. A. Araujo-Pradere, 2011
Role of thermosphere-ionosphere coupling in a global ionospheric specification.
Radio Science, 46, RS0D23, 7pp.  doi:10.1029/2010RS004576

Zagar, N., J. Tribbia, J. L. Anderson and K. Raeder, 2011
Balance of the Background-Error Variances in the Ensemble Assimilation System DART/CAM.
Monthly Weather Review, 139, 2061-2079  doi:10.1175/2011MWR3477.1

C. Lee, W. G. Lawson, M. I. Richardson, J. L. Anderson, N. Collins, T. Hoar and M. Mischna, 2011
Demonstration of ensemble data assimilation for Mars using DART, MarsWRF, and radiance observations from MGS TES.
Journal of Geophysical Research, 116, E11011, 17 pp.  doi:10.1029/2011JE003815

Otkin, J. A., 2011
Assessing the impact of the covariance localization radius when assimilating infrared brightness temperature observations using an ensemble Kalman filter.
Monthly Weather Review, 140, 543-561  doi:10.1175/MWR-D-11-00084.1

Otkin, J. A., D. C. Hartung, D. D. Turner, R. Peterson, W. F. Feltz and E. Janzon, 2011
Assimilation of surface-based boundary layer profiler observations during a cool season weather event using an Observation System Simulation Experiment. Part 1: Analysis impact.
Monthly Weather Review, 139, 2309-2326  doi:10.1175/2011MWR3622.1

Otkin, J. A., D. C. Hartung, D. D. Turner, R. Peterson, W. F. Feltz and Erik Janzon, 2011
Assimilation of surface-based boundary layer profiler observations during a cool season weather event using an Observation System Simulation Experiment. Part 2: Forecast assessment.
Monthly Weather Review, 139, 2327-2346  doi:10.1175/2011MWR3623.1

Kay, J., K. Raeder, A. Gettelman and J. L. Anderson, 2011
The boundary layer response to recent Arctic sea ice loss and implications for high-latitude climate feedbacks.
Journal of Climate, 24, 428-447  doi:10.1175/2010JCLI3651.1

Lauritzen, P.H., A. Mirin, J. E. Truesdale, K. Raeder, J. L. Anderson, J. Bacmeister and R. B. Neale, 2011
Implementation of new diffusion/filtering operators in the CAM-FV dynamical core.
International Journal of High Performance Computing Applications, 26, 63-73  doi:10.1177/1094342011410088

Pincus, R., P. Hofmann, J. Robert, J. L. Anderson, K. Raeder, N. Collins and J. S. Whitaker, 2011
Can Fully Accounting for Clouds in Data Assimilation Improve Short-Term Forecasts by Global Models?
Monthly Weather Review, 139, 3, pp. 946-957  doi:10.1175/2010MWR3412.1

Dorita Rostkier-Edelstein and Joshua P. Hacker, 2011
Experience and Conclusions from the Factor Separation Method: Ensemble Data Assimilation and Forecasting Applications
The Factor Separation Method in the Atmosphere- Applications and Future Prospects, Pinhas Alpert and Tatiana Sholokhman, Cambridge University Press, ISBN: 9780521191739



2010



Anderson, J. L., 2010
A Non-Gaussian Ensemble Filter Update for Data Assimilation.
Monthly Weather Review, 138 pp. 4186-4198  doi:10.1175/2010MWR3253.1

Arellano, A. F., P. G. Hess, D. P. Edwards and D. Baumgardner, 2010
Constraints on black carbon aerosol distribution from Measurement Of Pollution In The Troposphere (MOPITT) CO,
Geophysical Research Letters, 37 L17801  doi:10.1029/2010GL044416

Aksoy, A., D. C. Dowell and C. Snyder, 2010
A multicase comparative assessment of the ensemble Kalman filter for assimilation of radar observations. Part II: Short-range ensemble forecasts.
Mon. Wea. Rev., 138, pp 1273-1292. doi:10.1175/2009MWR3086.1

C. Lee, M. I. Richardson, W. G. Lawson and J. L. Anderson, 2010
Ensemble Data Assimilation of the Martian Atmosphere Using Temperature and Radiance Data from the Thermal Emission Spectrometer
American Astronomical Society,  DPS meeting #42, #30.09; Bulletin of the American Astronomical Society, Vol. 42, p.1029

C. Lee, M. I. Richardson, W. G. Lawson, J. L. Anderson, N. Collins, T. Hoar, M. Mischna and A. D. Toigo, 2010
Initial Results from Ensemble Data Assimilation of Radiances and Retrieved Temperatures from TES and MCS in a Martian GCM.
2010 Fall Meeting, AGU,  San Francisco, Abstract P53E-1563.

Davis, C., W. Wang, J. Dudhia and R. Torn, 2010
Does increased horizontal resolution improve hurricane wind forecasts?
Weather and Forecasting  25, 1826-1841,   doi:10.1175/2010WAF2222423.1

Davis, C., W. Wang, S. Cavallo, J. Done, J. Dudhia, S. Fredrick, J. Michalakes, G. Caldwell, T. Engel and R. Torn, 2010
High-resolution hurricane forecasts.
Computing in Science and Engineering 13, 22-30  doi:10.1109/MCSE.2010.74

Dowell, D., G. Romine and C. Snyder, 2010
Ensemble storm-scale data assimilation and prediction for severe convective storms.
25th Severe Local Storms Conference  Denver, Colorado, Amer. Meteor. Soc., paper 9.5.

Otkin, J.A., 2010
Clear and cloudy-sky infrared brightness temperature assimilation using an ensemble Kalman filter.
Journal of Geophysical Research 115,D19207, 14pp  doi:10.1029/2009JD013759

Torn, R. D., 2010
Ensemble-based Sensitivity Analysis applied to African Easterly Waves.
Weather and Forecasting 25, 61-78,   doi:10.1029/2008JD011375

Torn, R. D., 2010
Performance of a Mesoscale Ensemble Kalman Filter (EnKF) During the NOAA High-Resolution Hurricane Test.
Monthly Weather Review, 138, 4375-4392.  doi:10.1175/2010MWR3361.1

Rostkier-Edelstein, D. and J. Hacker, 2010
The roles of surface-observation ensemble assimilation and model complexity for nowcasting of PBL profiles: A factor separation analysis.
Weather and Forecasting 25, 1670-1690,   doi:10.1175/2010WAF2222435.1

Zagar, N., J. Tribbia, J. L. Anderson, K. Raeder and D. T. Kleist, 2010
Diagnosis of systematic analysis increments by using normal modes.
Quarterly Journal of the Royal Meteorological Society, 136, 61-76  doi:10.1002/qj.533



2009



Anderson, J. L., T. Hoar, K. Raeder, H. Liu, N. Collins, R. Torn and A. Arellano, 2009
The Data Assimilation Research Testbed: A Community Facility.
Bulletin of the American Meteorological Society, 90, 1283-1296  doi:10.1175/2009BAMS2618.1

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

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

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.
Monthly Weather Review, 137, 1805-1824  doi:10.1175/2008MWR2691.1

Edwards, D. P., A. F. Arellano and M. N. Deeter, 2009
A satellite observation system simulation experiment for carbon monoxide in the lowermost troposphere,
J. Geophys. Res. 114, D14304, doi:10.1029/2008JD011375

Hamill, T. M., J. S. Whitaker, J. L. Anderson and C. M. Snyder, 2009
Comments on "Sigma-Point Kalman filter data assimilation methods for strongly nonlinear systems".
Journal of the Atmospheric Sciences, 66, 3498-3500  doi:10.1175/2009JAS3245.1

Rostkier-Edelstein, D. and J. P. Hacker, 2009
Probabilistic nowcasting of PBL profiles with surface observations and an ensemble filter.
The 23rd Conference on Weather Analysis and Forecasting/19th Conference on Numerical Weather Prediction , Omaha, NE, USA  [extended abstract]

Thomas, S. J., J. P. Hacker, and J. L. Anderson, 2009
A robust formulation of the ensemble Kalman filter.
Quarterly Journal of the Royal Meteorological Society, 135, 507-521  doi:10.1002/qj.372

Zagar, N., J. Tribbia, J. L. Anderson, K. Raeder, 2009
Uncertainties of estimates of inertia-gravity energy in the atmosphere. Part I: Intercomparison of four analysis systems
Monthly Weather Review, 137, 3837-3857  doi:10.1175/2009MWR2815.1

Zagar, N., J. Tribbia, J. L. Anderson and K. Raeder, 2009
Uncertainties of estimates of inertia-gravity energy in the atmosphere. Part II: Large-scale equatorial waves.
Monthly Weather Review, 137, 3858-3873  doi:10.1175/2009MWR2816.1


2008



Anthes, R. A., P. A. Bernhardt, Y. Chen, L. Cucurull, K. F. Dymond, D. Ector, S. Healy, S.-P. Ho, D. C. Hunt, Y.-H. Kuo, H. Liu, K. Manning, C. McCormick, T. K. Meehan, W. J. Randel, C. Rocken, W. Schreiner, S. V. Sokolovskiy, S. Syndergaard, D. C. Thompson, K. E. Trenberth, T.-K. Wee, N. L. Yen and Z. Zeng,
The COSMIC/FORMOSAT-3 Mission: Early Results, BAMS,89 No. 3, 313-333 doi:10.1175/BAMS-89-3-313

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

Zubrow, A., L. Chen and V. R. Kotamarthi, 2008
EAKF-CMAQ: Introduction and evaluation of a data assimilation for CMAQ based on the ensemble adjustment Kalman filter,
J. Geophys. Res., 113, D09302,  doi:10.1029/2007JD009267

Liu H., J. L. Anderson, Y.-H. Kuo, C. Snyder and A. Caya, 2008
Evaluation of a non-local observation operator in assimilation of CHAMP radio occultation refractivity with WRF.
Monthly Weather Review 136 No.1, 242-256.  doi:10.1175/2007MWR2042.1

Khare, S. P., J. L. Anderson, T. J. Hoar and D. W. Nychka, 2008
An investigation into the application of an ensemble Kalman smoother to high-dimensional geophysical systems.
Tellus Series A-dynamic Meteorology and Oceanography, 60, 97-112,   doi:10.1111/j.1600-0870.2007.00281.x


2007



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

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

Anderson, J. and N. Collins, 2007
Scalable Implementations of Ensemble Filter Algorithms for Data Assimilation.
Journal of Atmospheric and Oceanic Technology, 24, 1452-1463.  doi:10.1175/JTECH2049.1

Arellano, A. F., K. Raeder, J. L. Anderson, P. Hess, L. K. Emmons, D. P. Edwards, G. G. Pfister, T. L. Campos and G. W. Sachse: 2007
Evaluating model performance of an ensemble-based chemical data assimilation system during INTEX-B field mission,
Atmos. Chem. Phys., 7, 5695-5710, doi:10.5194/acp-7-5695-2007

Arellano, A. F., P. Hess, D. Edwards, J. L. Anderson, K. Raeder, L. K. Emmons, G. G. Pfister, T. L. Campos, G. Diskin, J. Jimenez and R. Subramanian, 2007
Chemical Data Assimilation of MOPITT CO and MODIS AOD Retrievals in the Community Atmosphere Model.
Eos. Trans. AGU, 88(52), Fall Meet. Suppl., Abstract A14D-03.

Edwards, D., A. Arellano and M. Deeter, 2007
Defining Requirements for Future Satellite Air Quality Chemistry Observations.
Eos. Trans. AGU, 88(52), Fall Meet. Suppl., Abstract A54C-01.

Lawson, W. G., M. I. Richardson, D. J. McCleese, J. T. Schofield, O. Aharonson, S. B. Calcutt, P. G. J. Irwin, D. M. Kass, C. B. Leovy, S.R. Lewis, D. A. Paige, P. L. Read, F. W. Taylor and R. W. Zurek, 2007
Adapting State of the Art Data Assimilation Approaches for Use with the Mars Climate Sounder and the PlanetWRF Martian GCM.
Seventh International Conference on Mars, Pasadena, Californa, LPI Contribution No. 1353, p 3321.

Lawson, W. G., M. I. Richardson, D. J. McCleese, J. L. Anderson, Y. Chen and C. Snyder, 2007
Ensemble-Based Data Assimilation with a Martian GCM
Eos Trans. AGU, 88(52), Fall Meeting Suppl., Abstract P11A-0251.

Torn, R. D. and G. J. Hakim, 2007
Ensemble-based sensitivity analysis.
To appear in Monthly. Weather. Review 134

Hacker, J. P., J. L. Anderson and M. Pagowski, 2007
Improved vertical covariance estimates for ensemble filter assimilation of near-surface observations.
Monthly Weather Review, 135, 1021-1036.  doi:10.1175/MWR3333.1

Hacker, J. P. and D. Rostkier-Edelstein, 2007
PBL state estimation with surface observations, a column model, and an ensemble filter.
Monthly Weather Review, 135, Issue 8, 2958-2972,  doi:10.1175/MWR3443.1

Karspeck, A. and J. L. Anderson, 2007
Experimental implementation of an ensemble adjustment filter for an intermediate ENSO model.
Journal of Climate, 20 4638-4658  doi:10.1175/JCLI4245.1


2006



Aksoy, A., F. Zhang and J. W. Nielsen-Gammon, 2006
Ensemble-based simultaneous state and parameter estimation with MM5.
Geophysical Research Letters, 33, L12801

Aksoy, A., F. Zhang and J. W. Nielsen-Gammon, 2006
Ensemble-based simultaneous state and parameter estimation in a two-dimensional sea breeze model.
Monthly Weather Review, 134, 2951-2970 doi:10.1175/MWR3224.1

Chen, Y. and C. Snyder, 2006
Assimilation of hurricane position with an ensemble Kalman Filter.
Geophysical Research Abstracts, 8, 09910

D. Rostkier-Edelstein, J. Hacker and M. Pagowski, 2006
Estimates of boundary layer profiles by means of ensemble-filter assimilation of near surface observations in a parameterized PBL,
Proceedings of the 17th Symposium on Boundary Layers and Turbulence, AMS, San Diego, 16-22 May 2006.

W. G. Lawson, M. I. Richardson, D. J. McCleese, J. T. Schofield, O. Aharonson, S. B. Calcutt, P. G. J. Irwin, D. M. Kass, C. B. Leovy, S.R. Lewis, D. A. Paige, P. L. Read, F. W. Taylor and R. W. Zurek 2006
Data Assimilation With the Mars Climate Sounder
2006 Fall Meeting AGU, abstract P23B-0061

J. Hacker, M. Pagowski and D. Rostkier-Edelstein, 2006
Parameter estimation in land-surface model using atmospheric data assimilation: finding distributions for use in an ensemble prediction system,
Proceedings of the 17th Symposium on Boundary Layers and Turbulence, AMS, San Diego, 16-22 May 2006.


2005



Anderson, J. L., B. Wyman, S. Zhang and T. Hoar, 2005
Assimilation of surface pressure observations using an ensemble filter in an idealized global atmospheric prediction system.
Journal of the Atmospheric Sciences, 62, 2925-2938  doi:10.1175/JAS3510.1


BD ... Before DART



Zhang, F., C. Snyder and J. Sun, 2004
Impacts of initial estimate and observation availability on convective-scale data assimilation with an ensemble Kalman filter.
Monthly Weather Review, 132, 1238-1253.

Bengtsson, T., C. Snyder and D. Nychka, 2003
A nonlinear filter that extends to high dimensional systems.
Journal of Geophysical Research-Atmosphere, 108, 1-10

Tribbia, J. J. and D. P. Baumhefner, 2004
Scale interactions and atmospheric predictablility: An updated perspective.
Monthly Weather Review, 132, 703-713.

Anderson, J. L., 2003
A local least squares framework for ensemble filtering.
Monthly Weather Review, 131, 634-642.  doi:10.1175/1520-0493(2003)131<0634:ALLSFF>2.0.CO;2

Tippett, M. K., J. L. Anderson, C. H. Bishop, T. M. Hamill and J. S. Whitaker, 2003
Ensemble square root filters.
Monthly Weather Review, 131, 1485-1490.

Zhang, S. and J. L. Anderson, 2003
Impact of spatially and temporally varying estimates of error covariance on assimilation in a simple atmospheric model.
Tellus, 55A, 126-147.

Snyder, C. and F. Zhang, 2003
Assimilation of simulated Doppler radar observations with an ensemble Kalman filter
Monthly Weather Review, 131, 1663-16776.

Anderson, J. L., 2001
An Ensemble Adjustment Kalman Filter for Data Assimilation.
Monthly Weather Review, 129, 2884-2903.  doi:10.1175/1520-0493(2001)129<2884:AEAKFF>2.0.CO;2