Ensemble Kalman filter assimilation of near-surface observations over complex terrain: comparison with 3DVAR for short-range forecasts
By: Zhaoxia Pu, Hailing Zhang and Jeffrey Anderson
References
- Ancell
. Mass. Hakim. Evaluation of surface analyses and forecasts with a multiscale ensemble Kalman filter in regions of complex terrain. Mon. Wea. Rev. 2011; 139: 2008– 2024. 10.3402/tellusa.v65i0.19620. - Anderson
. An ensemble adjustment Kalman filter for data assimilation. Mon. Wea. Rev. 2001; 129: 2884– 2903. - Anderson
. A local least squares framework for ensemble filtering. Mon. Wea. Rev. 2003; 131: 634– 642. - Anderson
. An adaptive covariance inflation error correction algorithm for ensemble filters. Tellus A. 2007; 59: 210– 224. 10.3402/tellusa.v65i0.19620. - Anderson
. Localization and sampling error correction in ensemble Kalman filter data assimilation. Mon. Wea. Rev. 2012; 140: 2359– 2371. 10.3402/tellusa.v65i0.19620. - Anderson
. Hoar. Raeder. Liu. Collins. co-authors. The data assimilation research testbed: A community facility. Bull. Amer. Meteor. Soc. 2009; 90: 1283– 1296. 10.3402/tellusa.v65i0.19620. - Barker
. Huang. Guo. Bourgeois. Xiao. A three dimensional data assimilation system for use with MM5: Implementation and initial results. Mon. Wea. Rev. 2004b; 132: 897– 914. - Barker
, D. M, Lee, M.-S, Guo, Y.-R, Huang, W, Xiao, Q.-Nand Rizvi, R. 2004a. WRF variational data assimilation development at NCAR . In: WRF/MM5 Users’ Workshop. June 22–25, 2004. Boulder: CO. Online at:http://www.mmm.ucar.edu/mm5/workshop/workshop-papers_ws04.html . - Benjamin
. Devenyi. Weygandt. Brundage. Brown. co-authors. An hourly assimilation-forecast cycle: the RUC. Mon. Wea. Rev. 2004; 132: 495– 518. - Benjamin
, S. G, Weygandt, S, Smirnova, T, Alexander, C, Hu, M. and co-authors. 2011. Progress in NOAA hourly-updated models – Rapid Refresh, HRRR . A presentation to Alaska Weather Symposium, March 15, 2011, Fairbanks: AK. - Bishop
. Etherton. Majumdar. Adaptive sampling with the ensemble transform Kalman filter. Part I: theoretical aspects. Mon. Wea. Rev. 2001; 129: 420– 436. - Buehner
. Evaluation of a spatial/spectral covariance localization approach for atmospheric data assimilation. Mon. Wea. Rev. 2012; 140: 617– 636. 10.3402/tellusa.v65i0.19620. - Chen
. Snyder. Assimilating vortex position with an ensemble Kalman filter. Mon. Wea. Rev. 2007; 135: 1828– 1845. 10.3402/tellusa.v65i0.19620. - Courtier
. Thépaut. Hollingsworth. A strategy for operational Implementation of 4D-Var, using an incremental approach. Q. J. Roy. Meteor. Soc. 1994; 120: 1367– 1387. 10.3402/tellusa.v65i0.19620. - Daley
. Atmospheric Data Analysis. Cambridge University Press, Cambridge, UK, 457. 1991 - De Pondeca
. Manikin. DiMego. Benjamin. Parrish. co-authors. The real-time mesoscale analysis at NOAA's National Centers for Environmental Prediction: current status and development. Wea. Forecasting. 2011; 26: 593– 612. 10.3402/tellusa.v65i0.19620. - DiMego
, G. 2006. Implementation brief: real-time mesoscale analysis (RTMA), Presentation on 9 August 2006, NOAA/NWS [Powerpoint file available upon request] . - Dong
, J, Xue, Mand Droegemeier, K. 2007. The impact of high-resolution surface observation on convective storm analysis with ensemble Kalman filter . In: 22nd Conference on Weather Analysis and Forecasting/18th Conference on Numerical Weather Prediction. Park City: UtahAMS, CDROMP 1.42. - Evensen
. Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. J. Geophys. Res. 1994; 99: 10143– 10162. 10.3402/tellusa.v65i0.19620. - Evensen
. Data Assimilation – The Ensemble Kalman Filter. Springer-Verlag, Berlin, Heidelberg, 279. 2007 - Fujita
. Stensrud. Dowell. Surface data assimilation using an ensemble Kalman filter approach with initial condition and model physical uncertainties. Mon. Wea. Rev. 2007; 135: 1846– 1868. 10.3402/tellusa.v65i0.19620. - Gandin
, L. S. 1963. Objective analysis of meterological fields, Gidrometerologicheskoe Izdatelstvo, Leningrad . English translation by Israeli program for scientific translation, Jerusalem, 1965. - Gustafsson
, N. 1981. A review of methods for objective analysis . In: Dynamic Medeorology: Data Assimilation Methods. L.Bengtsson, M.Ghiland E.Källen, Springer-Verlag: New York, pp. 17– 76. - Hacker
. Anderson. Pagowski. Improved vertical covariance estimates for ensemble-Filter assimilation of near-surface observations. Mon. Wea. Rev. 2007; 135: 1021– 1036. 10.3402/tellusa.v65i0.19620. - Hacker
, J. Pand Angevine, W. M. 2012. Ensemble data assimilation to characterize land-atmosphere coupling errors in numerical weather prediction models. Mon. Wea. Rev. (in press). - Hacker
. Snyder. Ensemble Kalman filter assimilation of fixed screen-height observations in a parameterized PBL. Mon. Wea. Rev. 2005; 133: 3260– 3275. 10.3402/tellusa.v65i0.19620. - Hamill
. Snyder. A hybrid ensemble Kalman filter–3D variational analysis scheme. Mon. Wea. Rev. 2000; 128: 2905– 2919. - Hamill
. Whitaker. Snyder. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter. Mon. Wea. Rev. 2001; 129: 2776– 2790. - Houtekamer
. Mitchell. Data assimilation using an ensemble Kalman filter technique. Mon. Wea. Rev. 1998; 126: 796– 811. - Houtekamer
. Mitchell. A sequential ensemble Kalman filter for atmospheric data assimilation. Mon. Wea. Rev. 2001; 129: 123– 137. - Kalnay
. Atmospheric Modeling, Data Assimilation and Predictability. Cambridge University Press, Cambridge, UK, 341. 2003 - Kalnay
. Kanamitsu. Kistler. Collins. Deaven. co-authors. The NCEP/NCAR 40-year reanalysis project. Bull. Amer. Meteor. Soc. 1996; 77: 437– 471. - Lee
, S.-J, Parrish, D. F, Wu, W.-S, De Pondeca, M, Keyser, D. and co-authors. 2005. Use of surface mesonet data in NCEP regional grid statistical-interpolation system. Preprints . In: AMS 17th Conference on Numerical Weather Prediction. American Meteorological Society: Washington, DC, 1–5 August, 2005. - Lewis
. Lakshmivarhan. Dhall. Dynamic Data Assimilation: A Least Squares Approach. Cambridge University Press, Cambridge, UK, 654. 2006 - Lorenc
. Analysis methods for numerical weather prediction. Q. J. R. Meteorol. Soc. 1986; 112: 1177– 1194. 10.3402/tellusa.v65i0.19620. - Meng
. Zhang. 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. 2008a; 136: 3671– 3682. 10.3402/tellusa.v65i0.19620. - Meng
. Zhang. 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. 2008b; 136: 522– 540. 10.3402/tellusa.v65i0.19620. - Mesinger
. DiMego. Kalnay. Mitchell. Shafran. co-authors. North American regional reanalysis. Bull. Amer. Meteor. Soc. 2006; 87: 343– 360. 10.3402/tellusa.v65i0.19620. - Miyoshi
. The Gaussian approach to adaptive covariance inflation and its implementation with the local ensemble transform Kalman filter. Mon. Wea. Rev. 2011; 139: 1519– 1535. 10.3402/tellusa.v65i0.19620. - Parrish
. Derber. The National Meteorological Center's spectral statistical interpolation analysis system. Mon. Wea. Rev. 1992; 120: 1747– 1763. - Rogers
, E, Ek, M, Ferrier, B. S, Gayno, G, Lin, Y. and co-authors. 2005. The NCEP North American Mesoscale Modeling System: Final Eta model/analysis changes and preliminary experiments using the WRF-NMM . In: 17th Conference on Numerical Weather Prediction. Washington: DCAMS, August 1–5, 2005. - Simmons
, A. J, Jones, P. D, Bechtold, V. D, Beljaars, A. C. M, Kallberg, P. W. and co-authors. 2004. Comparison of trends and low-frequency variability in CRU, ERA-40, and NCEP/NCAR analyses of surface air temperature. J. Geophys, Res. 109, D24115., 10.3402/tellusa.v65i0.19620. - Skamarock
, W. C, Klemp, J. B, Dudhia, J, Gill, D. O, Barker, D. M. and co-authors. 2008. A Description of the Advanced Research WRF Version 3. NCAR Tech. Note NCAR/TN-475+STR, 113. pp. - Stensrud
. Yussouf. Dowell. Coniglio. Assimilating surface data into a mesoscale model ensemble: Cold pool analyses from spring 2007. Atmos. Res. 2009; 93: 207– 220. 10.3402/tellusa.v65i0.19620. - Tippett
. Anderson. Bishop. Hamill. Whitaker. Ensemble square root filters. Mon. Wea. Rev. 2003; 131: 1485– 1490. - Torn
. Performance of a mesoscale ensemble Kalman filter (EnKF) during the NOAA high-resolution hurricane test. Mon. Wea. Rev. 2010; 138: 4375– 4392. 10.3402/tellusa.v65i0.19620. - Torn
. Hakim. Snyder. Boundary conditions for limited-area ensemble Kalman filters. Mon. Wea. Rev. 2006; 134: 2490– 2502. 10.3402/tellusa.v65i0.19620. - Wang
. Barker. Snyder. Hamill. A Hybrid ETKF–3DVAR Data Assimilation Scheme for the WRF Model. Part II: Real Observation Experiments. Mon. Wea. Rev. 2008; 136: 5132– 5147. 10.3402/tellusa.v65i0.19620. - Whitaker
. Hamill. Ensemble data assimilation without perturbed observations. Mon. Wea. Rev. 2002; 130: 1913– 1924. - Whiteman
. Bian. Zhong. Low-level jet climatology from enhanced rawinsonde observations at a site in the southern Great Plains. J. Appl. Meteor. 1997; 36: 1363– 1376. - Wu
. Purser. Parrish. Three-dimensional variational analysis with spatially inhomogeneous covariances. Mon. Wea. Rev. 2002; 130: 2905– 2916. - Xie
, Y, Koch, S. E, McGinley, J. A, Albers, Sand Wang, N. 2005. A sequential variational analysis approach for mesoscale data assimilation . In: AMS 21st Conference on Weather Analysis and Forecasting/17th Conference on numerical weather prediction. Paper 15B.7. Online at:https://ams.confex.com/ams/WAFNWP34BC/techprogram/programexpanded_299.htm .
DOI: https://doi.org/10.3402/tellusa.v65i0.19620 | Journal eISSN: 3035-9554
Language: English
Page range: 19620 - 19620
Submitted on: Aug 26, 2012
Accepted on: Feb 22, 2013
Published on: Dec 1, 2013
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2013 Zhaoxia Pu, Hailing Zhang, Jeffrey Anderson, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.