Downloaded 10/07/21 07:35 AM UTC 2472 MONTHLY WEATHER REVIEW VOLUME 137
AUGUST 2009 W U E T A L . 2471 Intercomparison of Targeted Observation Guidance for Tropical Cyclones in the Northwestern Pacific CHUN-CHIEH WU,* JAN-HUEY CHEN,* SHARANYA J. MAJUMDAR,1 MELINDA S. PENG,# CAROLYN A. REYNOLDS,# SIM D. ABERSON,@ ROBERTO BUIZZA,& MUNEHIKO YAMAGUCHI,** SHIN-GAN CHEN,* TETSUO NAKAZAWA,11 AND KUN-HSUAN CHOU## * Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan 1 RSMAS Division of Meteorology and Physical Oceanography, University of Miami, Miami, Florida # Naval Research Laboratory, Monterey, California @ NOAA/AOML Hurricane Research Division, Miami, Florida & European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom ** Japan Meteorological Agency, Tokyo, Japan 11 Meteorological Research Institute, Japan Meteorological Agency, Tokyo, Japan ## Department of Atmospheric Sciences, Chinese Culture University, Taipei, Taiwan (Manuscript received 19 August 2008, in final form 4 February 2009) ABSTRACT This study compares six different guidance products for targeted observations over the northwest Pacific Ocean for 84 cases of 2-day forecasts in 2006 and highlights the unique dynamical features affecting the tropical cyclone (TC) tracks in this basin. The six products include three types of guidance based on total- energy singular vectors (TESVs) from different global models, the ensemble transform Kalman filter (ETKF) based on a multimodel ensemble, the deep-layer mean (DLM) wind variance, and the adjoint- derived sensitivity steering vector (ADSSV). The similarities among the six products are evaluated using two objective statistical techniques to show the diversity of the sensitivity regions in large, synoptic-scale domains and in smaller domains local to the TC. It is shown that the three TESVs are relatively similar to one another in both the large and the small domains while the comparisons of the DLM wind variance with other methods show rather low similarities.
[Show full text]