A simpler formulation of forecast sensitivity to observations: application to ensemble Kalman filters
By: Eugenia Kalnay, Yoichiro Ota, Takemasa Miyoshi and Junjie Liu
References
- Anderson
. An ensemble adjustment Kalman filter for data assimilation. Mon. Wea. Rev. 2001; 129: 2884– 2903. - Bishop
. Hodyss. Ensemble covariances adaptively localized with ECO-RAP. Part 1: tests on simple error models. Tellus. 2009a; 61A: 84– 96. - Bishop
. Hodyss. Ensemble covariances adaptively localized with ECO-RAP. Part 2: a strategy for the atmosphere. Tellus. 2009b; 61A: 97– 111. - Gelaro
. Zhu. Examination of observation impacts derived from observing system experiments (OSEs) and adjoint models. Tellus. 2009; 61A: 179– 193. - Hunt
. Kostelich. Szunyogh. Efficient data assimilation for spatiotemporal chaos: a local ensemble transform Kalman filter. Physica D. 2007; 230: 112– 126. 10.3402/tellusa.v64i0.18462. - Kunii
. Miyoshi. Kalnay. Estimating impact of real observations in regional numerical weather prediction using an ensemble Kalman filter. Mon. Wea. Rev. 2012; 140: 1975– 1987. 10.3402/tellusa.v64i0.18462. - Langland
. Baker. Estimation of observation impact using the NRL atmospheric variational data assimilation adjoint system. Tellus. 2004; 56A: 189– 201. - Li
. Liu. Kalnay. Correction of ‘Estimating observation impact without adjoint model in an ensemble Kalman filter’. Quart. J. Roy. Meteor. Soc. 2010; 136: 1652– 1654. 10.3402/tellusa.v64i0.18462. - Liu
. Kalnay. Estimating observation impact without adjoint model in an ensemble Kalman filter. Quart. J. Roy. Meteor. Soc. 2008; 134: 1327– 1335. 10.3402/tellusa.v64i0.18462. - Lorenz
. Emanuel. Optimal sites for supplementary weather observations. J. Atmos. Sci. 1998; 55: 399– 414. - Shapiro
. Smoothing, filtering, and boundary effects. Rev. Geophys. Space Phys. 1970; 8: 359– 387. 10.3402/tellusa.v64i0.18462. - Yoon
. Ott. Szunyogh. On the propagation of information and the use of localization in ensemble Kalman filtering. J. Atmos. Sci. 2010; 67: 3823– 3834. 10.3402/tellusa.v64i0.18462. - Whitaker
. Hamill. Ensemble data assimilation without perturbed observations. Mon. Wea. Rev. 2002; 130: 1913– 1924.
DOI: https://doi.org/10.3402/tellusa.v64i0.18462 | Journal eISSN: 3035-9554
Language: English
Page range: 18462 - 18462
Submitted on: Apr 1, 2012
Accepted on: Aug 25, 2012
Published on: Dec 1, 2012
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2012 Eugenia Kalnay, Yoichiro Ota, Takemasa Miyoshi, Junjie Liu, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.