Rosenstial School of Marine and Atmospheric Science Shuyi S. Chen Rosenstial School of Marine and Atmospheric Science University of Miami August- September NSF NOAA NRL NCAR UW UM Houze et al. (2006, BAMS)
TC Internal Dynmaics and Interaction with Environment Inner core and rainband internactions Concentric eyewalls and eyewall replacement cycle Environment Rainbands Inner Core Vertical wind shear Moisture distribution
RAINEX is the first experiment using three-Doppler-aircraft flying in hurricanes. Approach: Use airborne Doppler radar to observe both eyewall and rainband internal vorticity structures simultaneously Use intensive dropsondes for thermodynamic environment of hurricane rainbands and eyewall to support both analysis and modeling/forecasting Use model to determine how the vorticity features evolve and storm intensity changes
RAINEX Flight Coordination Fig. 5 BAMS ELDORA radar
RAINEX Operations
Plan--target dropsondes and Doppler Fig. 7a BAMS
Hurricanes investigated in RAINEX Katrina Ophelia Rita Fig. 1 BAMS
High-Resolution Multi-nested Vortex-Following Numerical Models at University of Miami: UM/RSMAS Coupled Atmos- Wave-Ocean Model 15 km Mini ensemble MM5 and WRF forecasts using GFS, NOGAPS, CMC, and GFDL forecast fields as initial and lateral boundary conditions 5 km 1.6 km
NHC Fcst Obs MM5 (1.6km) WRF (1.6km)
NHC Fcst MM5&WRF Obs Global models
Model forecast of eyewall & rainbands at 1.6 km resolution Katrina Rita Rain rate
Distance from vortex center Katrina Rain Wind Day Day Distance from vortex center
Distance from vortex center Rita Rain Wind Rain Day Distance from vortex center
ELDORA data in Katrina-28 August
RAINEX Flights in Hurricane Rita Concentric Eyewalls Fig. 8 BAMS
Concentric eyewalls in Rita Unprecedented
Question: How does the “moat form?” ELDORA data show downward motion between the two eyewalls dBZ
Dropwinsonde in Moat Region of Rita show “Eye-like sounding”
Eyewall Replacement in Hurricane Rita (2005) 22 September 2005 Inner outer N43 flight-level wind in Rita Observed MM5 WRF Radar Reflectivity
ELDORA observations of the outer eyewall: Evidence of “filamentation” Model Moist Pot. Vorticity Vorticity (10-4 s-1)
Rita (1.6 km) Katrina (1.6 km)
Dots represent sample G-IV dropsonde locations Effect of Environmental Humidity TRMM TMI Total Precipitable Water 40 50 60 70 dry humid Katrina Rita Dots represent sample G-IV dropsonde locations
Dropsondes show stronger humidity gradient in eyewall replacement case Storm outer environment Rainband region Katrina moist Rita moist Katrina dry Rita dry
Conceptual Model of How Moisture Gradient Affecting to Rainband Organizations Weak Gradient in Katrina Strong Gradient in Rita Moist Dry
Effect of vertical wind shear on Rita Model 5-day forecast
CONCLUSIONS Three important storms observed Katrina Ophelia Rita Three important storms observed Innovative satellite based flight control First use of ELDORA in hurricanes Future RAINEX studies Try to connect all these structures in terms of rainband lifecycle RAINEX dual-Doppler data & dropsondes -> vorticity maxima High resolution model forecasts of RAINEX storms promising Detailed vorticity patterns will be compared to model simulations Data available via NCAR field catalog Operations and data analysis aided by high-resolution modeling
CONCLUSIONS Eyewall replacement--formation of “moat” documented Strong humidity gradient may favor concentric eyewalls ELDORA confirms internal structure of rainband ELDORA shows filamentation of vorticity in secondary eyewall Future RAINEX studies Try to connect all these structures in terms of rainband lifecycle RAINEX dual-Doppler data & dropsondes -> vorticity maxima High resolution model forecasts of RAINEX storms promising Detailed vorticity patterns will be compared to model simulations Formation of storm rotation in the convective burst phase Dry air intrusion at midlevels