HR: 0800h
AN: A31B-04    [Abstracts]
TI: The AFES-LETKF Experimental Ensemble Reanalysis: ALERA
AU: Miyoshi, T
EM: miyoshi@naps.kishou.go.jp
AF: Numerical Prediction Division, Japan Meteorological Agency, 1-3-4 Otemachi Chiyoda-ku, Tokyo, 100-8122, Japan
AU: * Yamane, S
EM: syamane@cis.ac.jp
AF: Chiba Institute of Science, 3 Shiomi-cho, Choshi, 288-0025, Japan
AU: * Yamane, S
EM: syamane@cis.ac.jp
AF: FRCGC, JAMSTEC, 3173-25 Showa-machi, Kanazawa-ku, Yokohama, 236-0001, Japan
AU: Enomoto, T
EM: eno@jamstec.go.jp
AF: Earth Simulator Center, JAMSTEC, 3173-25 Showa-machi, Kanazawa-ku, Yokohama, 236- 0001, Japan
AB: The local ensemble transform Kalman filter (LETKF) is applied to the AFES (AGCM for the Earth Simulator) to perform an experimental reanalysis. The reanalysis is called ALERA, standing for AFES-LETKF Experimental ensemble ReAnalysis. Using the system developed by Miyoshi and Yamane (2007), real observations except satellite radiances are assimilated for more than 19 months since 1 May 2005. The AFES-LETKF data assimilation cycle has been stable for over a year. The analysis fields are compared with the NCEP/NCAR reanalysis, a de facto standard reanalysis; the verification indicates that the ALERA data actually reproduce the nature atmosphere fairly well. Moreover, ALERA ensemble spreads capture the analysis uncertainties well, especially large uncertainties in the SH and upper levels where satellite radiances play an important role.
DE: 3275 Uncertainty quantification (1873)
DE: 3315 Data assimilation
DE: 3319 General circulation (1223)
SC: Atmospheric Sciences [A]
MN: 2007 Joint Assembly