Brett Hoover University of Wisconsin – Madison 18 May 2009

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Presentation transcript:

Brett Hoover University of Wisconsin – Madison 18 May 2009 Application and interpretation of adjoint-derived sensitivity fields for tropical cyclone steering Brett Hoover University of Wisconsin – Madison 18 May 2009

TC Steering Sensitivity Given a properly defined response function for TC steering, the adjoint of a NWP model can provide sensitivities of TC steering useful for: Diagnosing synoptic features/processes important for TC steering Providing valuable a priori information about regions in the initial conditions where errors could have a large impact on TC steering

TC Steering Sensitivity Zonal steering response function = Average zonal wind in response function box R2 = Meridional steering response function = Average meridional wind in response function box The problem with these response functions is that they are strongly influenced by small changes to the final-time location of the TC in the response function box

Steering Response Function 6 9

Steering Response Function Response functions represent the steering of the TC only when the TC is centered in the response function box, with the symmetric circulation around the TC being canceled out 6 9

Steering Response Function Response functions represent the steering of the TC only when the TC is centered in the response function box, with the symmetric circulation around the TC being canceled out 6 9 A northward displacement of the TC will result in a positive contribution to zonal flow in the box

Steering Response Function Response functions represent the steering of the TC only when the TC is centered in the response function box, with the symmetric circulation around the TC being canceled out 6 9 A northward displacement of the TC will result in a positive contribution to zonal flow in the box A westward displacement of the TC will result in a positive contribution to meridional flow

Steering Response Function What would this problem look like in the sensitivity gradients?

Steering Response Function What would this problem look like in the sensitivity gradients? 6 9 6 9

Steering Response Function 6 9 6 9

Steering Response Function 6 9 6 9 Sensitivity of R1 with respect to vorticity should show positive (negative) sensitivity west (east) of the TC

Interpretation From Wu et al. 2007. Targeted observations of tropical cyclone movement based on the adjoint-derived sensitivity steering vector. J. Atmos. Sci. 64, 2611-2626.

Interpretation From Wu et al. 2007. Targeted observations of tropical cyclone movement based on the adjoint-derived sensitivity steering vector. J. Atmos. Sci. 64, 2611-2626.

Interpretation From Wu et al. 2007. Targeted observations of tropical cyclone movement based on the adjoint-derived sensitivity steering vector. J. Atmos. Sci. 64, 2611-2626.

Interpretation From Wu et al. 2007. Targeted observations of tropical cyclone movement based on the adjoint-derived sensitivity steering vector. J. Atmos. Sci. 64, 2611-2626.

Interpretation MM5 simulation of Typhoon Minduelle (2004)* (12 hour integration) 2-D barotropic, non-divergent simulation of idealized vortex (24 hour integration) *From Wu et al. 2007. Targeted observations of tropical cyclone movement based on the adjoint-derived sensitivity steering vector. J. Atmos. Sci. 64, 2611-2626.

New Steering Response Function This problem can be solved if we make a new response function to describe TC steering in a different way: RE1 = Environmental zonal flow in response function box Zonal flow in box when vorticity/divergence of TC vortex is removed RE2 = Environmental merid. flow in response function box Merid. flow in box when vorticity/divergence of TC vortex is removed

New Steering Response Function Sensitivity of R1 with respect to vorticity Sensitivity of RE1 with respect to vorticity

New Steering Response Function at 300 hPa for NOGAPS simulation of Typhoon Meari (2004) (36 hour integration) at 300 hPa for NOGAPS simulation of Typhoon Meari (2004) (36 hour integration)

New Steering Response Function at 300 hPa for NOGAPS simulation of Typhoon Meari (2004) (36 hour integration) at 300 hPa for NOGAPS simulation of Typhoon Meari (2004) (36 hour integration)

Comparison We expect: describes vorticity perturbations that would yield a northward environmental flow would yield an eastward environmental

Comparison 6 9 6 9 6 9 500 hPa perturbation environmental winds for optimal perturbations to increase R1 500 hPa perturbation environmental winds for optimal perturbations to increase RE1

Comparison 6 9 6 9 6 9 500 hPa perturbation environmental winds for optimal perturbations to increase R1 500 hPa perturbation environmental winds for optimal perturbations to increase RE1

Conclusions Response functions traditionally used to define TC steering are flawed: Small meridional (zonal) perturbations of the TC allow the TC’s own symmetric circulation to contribute to response function These contributions have nothing to do with the steering of the TC

Conclusions New response functions have been created to redefine the steering of the TC and remove this flaw: Focus on “environmental wind” with TC removed instead of averaged full wind Optimal perturbations to increase R1 result in a southerly environmental flow, while optimal perturbations to increase RE1 result in a purely westerly environmental flow

An Adjoint-Based Targeting Strategy assimilation system forecast model ob’s and bkgrnd analysis forecast adjoint of assimilation system adjoint of forecast model sensitivity to ob’s and background sensitivity to forecast sensitivity to analysis Sensitivities of steering to the (potential) observations are informed by the sensitivities to the analysis, the characteristics of the analysis errors, and the nature of the assimilation system.

An Adjoint-Based Targeting Strategy assimilation system forecast model ob’s and bkgrnd analysis forecast adjoint of assimilation system adjoint of forecast model sensitivity to ob’s and background sensitivity to forecast sensitivity to analysis Sensitivities of steering to the (potential) observations are informed by the sensitivities to the analysis, the characteristics of the analysis errors, and the nature of the assimilation system.