A local ensemble transform Kalman filter data assimilation system for the NCEP global model
Istvan Szunyogh; Eric, J. Kostelich; Gyorgyi Gyarmati; Eugenia Kalnay; Brian, R. Hunt; Edward Ott; Elizabeth Satterfield; James, A. Yorke
Tellus A 60(1): 2147483647-0
2008
DOI: 10.1111/j.1600-0870.2007.00272.x
Accession: 063639085
PDF emailed within 0-6 h: $19.90
Related References
Szunyogh, I.; Kostelich, E.J.; Gyarmati, G.; Kalnay, E.; Hunt, B.R.; Ott, E.; Satterfield, E.; Yorke, J.A. 2008: A local ensemble transform Kalman filter data assimilation system for the NCEP global model Tellus. Series A, Dynamic Meteorology and Oceanography 60(1): 113-130Shin, S.; Kang, J.; Chun, H.; Lee, S.; Sung, K.; Cho, K.; Jo, Y.; Kim, J.; Kwon, I.; Lim, S.; Kang, J. 2018: Real Data Assimilation Using the Local Ensemble Transform Kalman Filter (LETKF) System for a Global Non-hydrostatic NWP model on the Cubed-sphere Asia-Pacific Journal of Atmospheric Sciences 54(S 1): 351-360
Zhou, X.; Zhu, Y.; Hou, D.; Kleist, D. 2016: A Comparison of Perturbations from an Ensemble Transform and an Ensemble Kalman Filter for the NCEP Global Ensemble Forecast System Weather and Forecasting 31(6): 2057-2074
Mozheng Wei; Zoltan Toth; Richard Wobus; Yuejian Zhu; Craig, H. Bishop; Xuguang Wang 2006: Ensemble Transform Kalman Filter-based ensemble perturbations in an operational global prediction system at NCEP Tellus A 58(1): 28-44
Thompson, T E.; Wicker, L J.; Wang, X; Potvin, C 2015: A comparison between the Local Ensemble Transform Kalman Filter and the Ensemble Square Root Filter for the assimilation of radar data in convective-scale models Quarterly Journal of the Royal Meteorological Society 141(689): 1163-1176
Sun, L.; Penny, S.G. 2019: Lagrangian Data Assimilation of Surface Drifters in a Double-Gyre Ocean Model Using the Local Ensemble Transform Kalman Filter Monthly Weather Review 147(12): 4533-4551
Shu-Chih Yang; Eugenia Kalnay; Brian Hunt; Neill, E.B.wler 2009: Weight interpolation for efficient data assimilation with the Local Ensemble Transform Kalman Filter Quarterly Journal of the Royal Meteorological Society 135(638): 251-262
Hunt, B.R.; Kostelich, E.J.; Szunyogh, I. 2007: Efficient data assimilation for spatiotemporal chaos : A local ensemble transform Kalman filter Physica. D 230(1-2): 112-126
Bishop, C.H.; Whitaker, J.S.; Lei, L. 2017: Gain Form of the Ensemble Transform Kalman Filter and its Relevance to Satellite Data Assimilation with Model Space Ensemble Covariance Localization Monthly Weather Review 145(11): 4575-4592
Hoffman, R.N.; Ponte, R.M.; Kostelich, E.J.; Blumberg, A.; Szunyogh, I.; Vinogradov, S.V.; Henderson, J.M. 2008: A Simulation Study Using a Local Ensemble Transform Kalman Filter for Data Assimilation in new York Harbor Journal of Atmospheric and Oceanic Technology 25(9): 1638-1656
Shin, S.; Kang, J.; Yang, S.; Kalnay, E. 2018: Ensemble singular vectors as additive inflation in the Local Ensemble Transform Kalman Filter (LETKF) framework with a global NWP model Quarterly Journal of the Royal Meteorological Society 145(718): 258-272
Rogutov, V. S.; Tolstykh, M. A. 2015: Assimilation and correction of radiosonde humidity observations in the data assimilation system based on the local ensemble Kalman filter Russian Meteorology and Hydrology 40(4): 242-252
Nurujjaman, M.; Apte, A.; Vinayachandran, P. 2013: Data assimilation using Ensemble Transform Kalman Filter (ETKF) in ROMS model for Indian Ocean The European Physical Journal. Special Topics 222(3-4): 875-883
Zhang, S.; Yi, X.; Zheng, X.; Chen, Z.; Dan, B.; Zhang, X. 2014: Global carbon assimilation system using a local ensemble Kalman filter with multiple ecosystem models Journal of Geophysical Research: Biogeosciences 119(11): 2171-2187
Osores, S.; Ruiz, J.; Folch, A.; Collini, E. 2020: Volcanic ash forecast using ensemble-based data assimilation: an ensemble transform Kalman filter coupled with the FALL3D-7.2 model (ETKF–FALL3D version 1.0) Geoscientific Model Development 13(1): 1-22
Shin, S; Kang, J-Sun; Jo, Y 2016: The Local Ensemble Transform Kalman Filter (LETKF) with a Global NWP Model on the Cubed Sphere Pure and Applied Geophysics 173(7): 2555-2570
Seo, E.; Lee, M.-I.; Reichle, R.H. 2021: Assimilation of SMAP and ASCAT soil moisture retrievals into the JULES land surface model using the Local Ensemble Transform Kalman Filter Remote Sensing of Environment 253: 112222
John Harlim; Brian, R. Hunt 2007: Four-dimensional local ensemble transform Kalman filter: numerical experiments with a global circulation model Tellus A 59(5): 731-748
Yin, J.; Zhan, X. 2018: Impact of Bias-Correction Methods on Effectiveness of Assimilating Smap Soil Moisture Data into Ncep Global Forecast System Using the Ensemble Kalman Filter Ieee Geoscience and Remote Sensing Letters 15(5): 659-663
Morozov, A V.; Ridley, A J.; Bernstein, D S.; Collins, N; Hoar, T J.; Anderson, J L. 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