R - University of Wisconsin MM5 Real Time Forecast and Forecast ...

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Goals• Provide synoptic interpretations for selectedforecast sensitivity gradients• Describe the “evolution” <strong>of</strong> sensitivitieswith respect to the forecast trajectory• Present a useful technique to displaysensitivities with respect to vector quantities• Discuss interesting research problems forwhich adjoint-based tools might have someutility
Relationship between the nonlinear model<strong>and</strong> its adjointxin→NonlinearModel→ → R x )xout( outx ' in→LinearModel→ x ' out∂ R∂ x in←AdjointModel←∂R∂ x out
Page 1 and 2: Application and interpretation ofad
Page 3: Goals• Describe what an adjoint m
Page 7 and 8: Application #1: Synoptic case studi
Page 9 and 10: Modeling System Used• MM5 Adjoint
Page 11 and 12: Mean sea level pressure and tempera
Page 13: 36h temperature sensitivity evoluti
Page 17 and 18: ∂R∂u∂R∂v700 hPa sensitiviti
Page 19 and 20: 700 hPa sensitivity gradients valid
Page 21 and 22: Impact study of McTaggart-Cowan (20
Page 23 and 24: Initial state (250:300 hPa PV)
Page 25 and 26: Final state
Page 27 and 28: Application #2: Identification of
Page 29 and 30: Control and perturbed analyses
Page 31 and 32: VERIFYING ANALYSISDAY-5 FORECAST“
Page 33 and 34: Application #3: 4DVAR data assimila
Page 35 and 36: La CASsE STUDY1200 UTC 13 February
Page 37 and 38: Assimilation in sensitive regions12
Page 39: Questions?Real-time forecast sensit

R - University of Wisconsin MM5 Real Time Forecast and Forecast ...

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