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Sensitivity of 48h KE to vorticity
Application #2: Identification of ‘key’ analysis errorsIf the response function chosen is a (quadratic) measure offorecast error, the output of the adjoint model provides ameans of changing the initial conditions to determine aninitial condition which will minimize the forecast errorxnew0=x0−αC−1∂R∂x0
Page 1 and 2: Application and interpretation ofad
Page 3 and 4: Goals• Describe what an adjoint m
Page 5 and 6: Relationship between the nonlinear
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: Final state
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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