A weak-constraint 4DEnsembleVar. Part II: experiments with larger models
References
-
Bloom
, S. C., L. L., A. M., and D.. 1996. Data assimilation using incremental analysis updates. Mon. Wea. Rev., 1256– 1271. DOI: 10.1175/1520-0493(1996)124<;1256:DAUIAU>2.0.CO;2. -
Desroziers
, G., E., and L.. 2016. Improving spatial localisation in 4DEnVar. Quart. Jour. of the Roy, Meteorol. Soc. DOI: 10.1002/qj.2898. -
Fairbairn
, D., S., A. C., and I.. 2014. A comparison of 4DVar with ensemble data assimilation methods. Quart. Jour. of the Roy, Meteorol. Soc., 281– 294. DOI: 10.1002/qj.2135. -
Hansen
, J., and C.. 2006. Efficient approximate techniques for integrating stochastic differential equations. Mon. Wea, Rev., 3006– 3014. DOI: 10.1175/MWR3192.1. -
Lorenc
, A. C., N., A., S., and D.. 2015. Comparison of Hybrid-4DEnVar and Hybrid-4DVar Data Assimilation Methods for Global NWP. Mon. Wea. Rev., 212– 229. DOI: 10.1175/MWR-D-14-00195.1. -
Lorenz
, E.. Predictability—a Problem Partly Solved. Proc. Seminar on Predictability. Volume 1. European Centre for Medium-Range Weather Forecast. Shinfield Park, Reading, Berkshire, United Kingdom: Cambridge University Press. -
Lorenz
, E.. Designing chaotic models. J. of the Atmos. Sci., 1574– 1587. DOI: 10.1175/JAS3430.1. -
Miyoshi
, T.. The Gaussian approach to adaptive covariance inflation and its implementation with the local ensemble transform Kalman filter. Mon. Wea. Rev., 1519– 1535. DOI: 10.1175/2010MWR3570.1. -
Ott
, E., B., I., A., E., M., E., D., and J.. 2004. A local ensemble Kalman filter for atmospheric data assimilation. Tellus A. 56, 415– 428. DOI: 10.1111/j.1600-0870.2004.00076.x. -
Perianez
, A., H., and R.. 2014. Optimal Iocalization for Ensemble Kalman Filter systems. J. Meteorol. Soc. Jpn. 92, 585– 597. DOI: 10.2151/jmsj.2014-605. -
Tremolet
, Y.. Diagnostics of linear and incremental approximations in 4D-Var. Q. J. R. Meteorol. Soc., 2233– 2251. DOI: 10.1256/qj.03.33. -
Tremolet
, Y.. Accounting for an imperfect model in 4D-Var. Q. J. R. Meteorol. Soc., 24832504. -
Tremolet
, Y.. Incremental 4D-Var convergence study. Tellua A. 59, 706– 718. DOI: 10.1111/j.1600-0870.2007.00271.x. -
Whitaker
, J. S., and T. M.. 2002. Ensemble data assimilation without perturbed observations. Mon. Wea. Rev., 1913– 1924. DOI: 10.1175/1520-0493(2002)130<;1913:EDAWPO>2.0.CO;2. -
Wursch
, M., and G.. 2014. A simple dynamical model of cumulus convection for data assimilation research. Meteorologische Zeitschrift. 23, 483– 490. -
Yang
, S.-C., D., H., K., M., G., E., J., E., and G.. 2006. Data assimilation as synchronization of truth and model: Experiments with the three-variable Lorenz system. J. of the Atmos. Sci., 2340– 2354. DOI: 10.1175/JAS3739.1.
DOI: https://doi.org/10.1080/16000870.2016.1271565 | Journal eISSN: 3035-9554
Language: English
Page range: 1271565 - 1271565
Submitted on: Jan 9, 2016
Accepted on: Nov 29, 2016
Published on: Jan 1, 2017
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
© 2017 Michael Goodliff, Javier Amezcua, Peter Jan Van Leeuwen, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.