AHW (WRF-ARW): (Vortex) Initialization

More documents

Recommendations

Info

Method• Three-dimensional data assimilation (3DVar)produces an analysis by combining abackground forecast and observationsthrough an iterative minimization procedure ofa prescribed cost function• The information about background andobservation errors is used to spread data• Can assimilate many types observationsRef: Barker et al. (2004)Mesoscale & Microscale Meteorological Division / NCAR 20
Method• When 3DVar is applied to TC initialization,one can do one of two things:o Improving environmental conditions byassimilating conventional as well as remotesensed data (including radiance)o In addition, bogus data may be used. Relocationneeded• Cycling may be used to retain characteristicsof the modelMesoscale & Microscale Meteorological Division / NCAR 21
Page 1 and 2: AHW (WRF-ARW):(Vortex) Initializati
Page 3 and 4: ARW (Vortex) Initialization Methods
Page 5 and 6: Supported Data Sources• GFS / FNL
Page 7 and 8: Method• Based on technique of obj
Page 9 and 10: TC RelocationUsing Previous Model F
Page 11 and 12: Pros and Cons• Advantage:o Easy t
Page 13 and 14: Method• ARW V3.1 supports a simpl
Page 15 and 16: • Advantage:ooPros and ConsEasy t
Page 17 and 18: Method• Based on observation and
Page 19: TC Bogussing Using 3DVarMesoscale &
Page 23 and 24: • Advantage:ooPros and ConsGood m
Page 25 and 26: Method• The difference between 3D
Page 28 and 29: Track and Intensity Forecast on Aug
Page 30 and 31: TC Initialization Using EnKFMesosca
Page 32 and 33: Assimilation System• WRF ARW (v3.
Page 34 and 35: Cycling Error for Position and Inte
Page 36 and 37: Intensity Forecast for ErikaMesosca
Page 38 and 39: Pros and Cons• Advantage:o No bog

AHW (WRF-ARW): (Vortex) Initialization

Create successful ePaper yourself

Delete template?

Save as template?