Accession Number:

ADA513360

Title:

Intercomparison of Targeted Observation Guidance for Tropical Cyclones in the Northwestern Pacific

Descriptive Note:

Journal article

Corporate Author:

NAVAL RESEARCH LAB MONTEREY CA

Report Date:

2009-08-01

Pagination or Media Count:

24.0

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. The ETKF and the ADSSV usually show high similarity because their optimal sensitivity usually lies close to the TC. The ADSSV, relative to the ETKF, reveals more similar sensitivity patterns to those associated with TESVs. Three special cases are also selected to highlight the similarities and differences among the six guidance products and to interpret the dynamical systems affecting the TC motion in the northwestern Pacific. Among the three storms studied, Typhoon Chanchu was associated with the subtropical high, Typhoon Shanshan was associated with the midlatitude trough, and Typhoon Durian was associated with the subtropical jet. The adjoint methods are found to be more capable of capturing the signal of the dynamic system that may affect the TC movement or evolution than are the ensemble methods.

Subject Categories:

  • Meteorology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE