Bauer , H.-S. , Wulfmeyer , V. , Schwitalla , T. , Zus , F. and Grzeschilc , M . 2011 . Operational assimilation of GPS slant path delay mea-surements into the MM5 4DVAR system , Tellus A, this issue , https://doi.org/10.1111/j.1600-0870.2010.00489.x
Dowell , D. C. , Zhang , E , Wicker , L. J. , Snyder , C. and Crook , N. A . 2004 . Wind and temperature retrievals in the 17 May 1981 Arcadia, Oklahoma, Supercell: ensemble Kalman filter experiments. Mon . Wea. Re v . 132 , 1982 – 2005 .
Fujita , T. , Tsuguchi , H. , Miyoshi , T. , Seko , H. and Saito , K . 2009 . De-velopment of a mesoscale ensemble data assimilation system at JMA. Report of the Grant-in-Aid for Scientific Research (B) (2005-2008), No. 17110035,232-235. (in Japanese)
Hunt , B. R. , Kostelich , E. J. and Szunyogh , I . 2007 . Efficient data assim-ilation for spatiotemporal chaos: a local ensemble transform Kalman filter . Physica D , 230 , 112 – 126 .
Kawabata , T. , Seko , H. , Saito , K. , Kuroda , T. , Tamiya , K. and co-authors . 2007 . An assimilation and forecasting experiment of the Nerima heavy rainfall with a cloud-resolving nonhydrostatic 4-dimensional varia-tional data assimilation system. J. Meteorol. Soc. Japan , 85 , 255 - 276 .
Meng , Z. and Zhang , F . 2008 . Test of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part DI: Comparison with 3DVar in a real-data case study. Mon . Wea. Re v . 136 , 522 – 540 .
Miyoshi , T . 2010 . NHM-LETKE , Tech. Rep. MRI , 62 , 159 – 163 .
Miyoshi , T. and Aranami , K . 2006 . Applying a four-dimensional local ensemble transform Kalman filter (4D-LETKE) to the .TMA nonhy-drostatic model (NI-IM) . SOLA , 2 , 128 – 131 .
Miyoshi , T. , Yamane , S. and Enomoto , T . 2007 . Localizing the error covariance by physical distances within a local ensemble transform Kalman filter (LETKF) . SOLA , 3 , 89 – 92 .
Ott , E. , Hunt , B. R. , Szunyogh , I. , Zimin , A. V. , Kostelich , E. J. and co-authors . 2004 . A local ensemble Kalman filter for atmospheric data assimilation. Tellus , 56A , 415 - 428 .
Saito , K. , Fujita , T. , Yamada , Y. , Ishida , J. , Kumagai , Y. and co-authors . 2006. The operational .TMA nonhydrostatic mesoscale model. Mon. Wea. Rev . 134 , 1266-129 8 .
Saito , K. , Kunii , M. , Hara , M. , Seko , H. , Hara , T. and co-authors . 2010 . WWRP Beijing 2008 Olympics Forecast Demonstration/Research and Development Project (B08FDP/RDP). Tech. Rep. MRI , 62 , 210 pp .
Saito , K. , Hara , M. , Kunii , M. , Seko , H. and Yamaguchi , M . 2011 . Com-parison of initial perturbation methods for the mesoscale ensemble prediction system of the Meteorological Research Institute for the WWRP Beijing 2008 Olympics Research and Development Project (B08RDP). Tellus , 63A , this issue .
Seko , H . 2010 . Local ensemble transform Kalman filter (LET) method . Tech. Rep. MRI , 62 , 80 – 84 .
Seko , H. and Nakamura , H . 2005 . Analytical and numerical studies on meso-fl scale precipitation bands observed over southern Kyushu on 7 July 1996 . Papers in Meteorology and Geophysics , 55 , 55 – 74 .
Seko , H. , Kawabata , T. , Tsuyuki , T. , Nakamura , H. , Koizumi , K. and co-authors . 2004 . Impacts of GPS-derived water vapor and radial wind measured by Doppler radar on numerical prediction of precipitation. J. Meteorol. Soc. Japan , 82 , 473 - 489 .
Seko , H. , Kunii , M. , Shoji , Y. and Saito , K . 2010 . Improvement of rainfall forecast by assimilations of ground-based GPS data and radio occultation data . SOLA , 6 , 81 – 84 .
Shoji , Y. , Nakamura , H. , Iwabuchi , T. , Aonashi , K. , Seko , H. and co-authors . 2004 , Tsukuba GPS dense net campaign observation: im-provement in GPS analysis of Slant Path delay by stacking one-way postfit phase residuals. J. Meteorol. Soc. Japan , 82 , 301 - 314 .
Shoji , Y. , Kunii , M. and Saito , K . 2009 . Assimilation of nationwide and global GPS PWV data for heavy rain event on 28 July 2008 in Hokuriku and Kinki, Japan . SOLA , 5 , 45 – 48 .
Snyder , C. and Zhang , F . 2003 . Assimilation of simulated doppler radar observations with an ensemble Kalman filter. Mon . Wea. Re v . 131 , 1663 – 1677 .
Tippett , M. K. , Anderson , J. L. , Bishop , C. H. , Hamill , T. M. and Whitaker , J. S . 2003 . Ensemble square root filters. Mon . Wea. Re v . 131 , 1485 – 1490 .
Tong , M. and Xue , M . 2005 . Ensemble Kalman filter assimilation of Doppler radar data with a compressible nonhydrostatic model: OSSE experiments. Mon . Wea. Re v . 133 , 1789 – 1807 .
Xue , M. , Tong , M. and Droegemeier , K. K . 2006 . An OSSE framework based on the ensemble square root Kalman filter for evaluating the impact of data from radar networks on thunderstorm analysis and forecasting . J. Atmos. Oceanic Tech . 23 , 46 – 66 .
Yan , X. , Ducrocq , V. , Jaubert , G. , Brousseau , P. , Poli , P. and co-authors . 2009 . The benefit of GPS zenith delay assimilation to high-resolution quantitative precipitation forecasts: a case-study from COPS IOP 9 . Q. J. R. Meteorol. Soc . 135 , 1788– 1800 ,
Zhang , F. , Snyder , C. and Sun , J . 2004 . Impacts of initial estimate and observation availability with an ensemble Kalman filter. Mon . Wea. Re v . 132 , 1238 – 1253 .
Zhang , F. , Meng , Z. and Alcsoy , A . 2006 . Test of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part I: perfect model experiments. Mon . Wea. Re v . 134 , 722 – 736 .
Zhang , M. , Ni , Y. and Zhang , F . 2007 . Variational assimilation of GPS precipitable water vapor and hourly rainfall observations for a meso-fi-scale heavy precipitation event during the 2002 Mei-Yu season. Adv . Atmos. Sc i . 24 , 509 – 526 .