Targeted Observations of Tropical Cyclone Movement Based on the Adjoint-Derived Sensitivity Steering Vector

Since 2003, a field program has been conducted under the name of Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region (DOTSTAR). As the name DOTSTAR suggests, targeted observation is one of its key objectives. The prerequisite for designing the observing strategy is to identify the sensitive areas, which would exert great influence on the results of numerical forecast or the extent of the forecast error. In addition to various sensitivity products already adopted in DOTSTAR, a new way to identify the sensitive area for the targeted observation of tropical cyclones based on the fifth-generation Pennsylvania State University–National Center for Atmospheric Research (NCAR) Mesoscale Model (MM5) is proposed in this paper. By appropriately defining the response functions to represent the steering flow at the verifying time, a simple vector, adjoint-derived sensitivity steering vector (ADSSV), has been designed to demonstrate the sensitivity locations and the critical direction of typhoon steering flow at the observing time. Typhoons Meari and Mindulle of 2004 have been selected to show the use of ADSSV. In general, unique sensitive areas 36 h after the observing time are obtained. The proposed ADSSV method is also used to demonstrate the signal of the binary interaction between Typhoons Fungwong and Fengshen (2002). The ADSSV is implemented and examined in the field project, DOTSTAR, in 2005 as well as in the surveillance mission for Atlantic hurricanes conducted by the Hurricane Research Division. Further analysis of the results will be vital to validate the use of ADSSV.

[2]  Zhiyue Zhang,et al.  Conditional Nonlinear Optimal Perturbations of a Two-Dimensional Quasigeostrophic Model , 2006 .

[3]  T. Rosmond A Technical Description of the NRL Adjoint Modeling System , 1997 .

[4]  Chun-Chieh Wu,et al.  A New Look at the Binary Interaction: Potential Vorticity Diagnosis of the Unusual Southward Movement of Tropical Storm Bopha (2000) and Its Interaction with Supertyphoon Saomai (2000) , 2003 .

[5]  Melinda S. Peng,et al.  Sensitivity of Tropical Cyclone Forecasts as Revealed by Singular Vectors , 2006 .

[6]  Ronald Gelaro,et al.  Initial Condition Sensitivity and Error Growth in Forecasts of the 25 January 2000 East Coast Snowstorm , 2002 .

[7]  Sim D. Aberson,et al.  Targeted Observations to Improve Operational Tropical Cyclone Track Forecast Guidance , 2003 .

[8]  Jing-Shan Hong,et al.  Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region (DOTSTAR): An Overview , 2005 .

[9]  Johnny C. L. Chan,et al.  Tropical Cyclone Movement and Surrounding Flow Relationships , 1982 .

[10]  Craig H. Bishop,et al.  A comparison of ensemble‐transform Kalman‐filter targeting guidance with ECMWF and NRL total‐energy singular‐vector guidance , 2002 .

[11]  Michael C. Morgan,et al.  Interpretation of the Structure and Evolution of Adjoint-Derived Forecast Sensitivity Gradients , 2005 .

[12]  Sim D. Aberson,et al.  The Impact of Dropwindsonde Data on Typhoon Track Forecasts in DOTSTAR , 2007 .

[13]  Chun‐Chieh Wu,et al.  Binary Interaction between Typhoons Fengshen (2002) and Fungwong (2002) Based on the Potential Vorticity Diagnosis , 2008 .

[14]  Craig H. Bishop,et al.  A Comparison of Adaptive Observing Guidance for Atlantic Tropical Cyclones , 2006 .

[15]  Ronald Gelaro,et al.  Singular Vector Calculations with an Analysis Error Variance Metric , 2002 .

[16]  Y. Kuo,et al.  Tropical Cyclone Initialization and Prediction Based on Four-Dimensional Variational Data Assimilation , 2006 .

[17]  X. Zou,et al.  Introduction to Adjoint Techniques and the MM5 Adjoint Modeling System. , 1997 .

[18]  R. Errico What is an adjoint model , 1997 .

[19]  T. Palmer,et al.  Singular Vectors, Metrics, and Adaptive Observations. , 1998 .

[20]  Daryl T. Kleist,et al.  Application of Adjoint-Derived Forecast Sensitivities to the 24–25 January 2000 U.S. East Coast Snowstorm , 2005 .