Science Objectives: NASA's DC-8 & CAMEX-3

Science Objectives
Instrument Acronym General Hurricane Landfalling Hurricane TRMM Science Cal/Val Alternate Science
ARMAR Vertical velocity studies;  
Eyewall structure
  Precipitation radar validation studies (clear air and rain);  
Rain type classification; 
Beamfilling studies
AVAPS Incremental observational resolution of hurricane dynamic and thermodynamic structure Impact of adaptive observations on intensification and tracking forecasts Input to radiative transfer models CAMEX-3 sensor validations
CAPAC Cloud particle size distributions and condensate mass   Condensate mass to compare w/ remotely sensed values  
JPL SAW        
Laser Hygrometer        
LASE Characterize hurricane environment using water vapor, aerosol, & cloud measurements; Input to models & assimilation schemes; Fill in sonde data voids      
LIP Convection/Storm intensity relationships, eye wall structure, rain mapping, relationships of lightning/electrification to storm dynamics/microphysics Rain mapping; changes of convection in; landfalling storms; relationship of electrification to; signal storm intensity changes  CAL/VAL: Validation of LIS and rain algorithms Validation of Optical Transiet Detector (OTD)
MACAWS Eyewall dynamics, role of low-level inflow in rapid intensification Impact of lidar adaptive observation on intensification & tracking forecasts Relationship between wind environment and deep convection Near-sea surface wind comparison w/ scatterometers; Satellite Doppler wind lidar performance simulations (incl. SPARCLE); Aerosol backscatter  validation w/ MSFC Continuous Wave lidar; Angular dependence of sea surface scattering
PSR Image precipitation bands and surface winds around eyewall; improve algorithms for wind, cloud, and rain reterival; study high-resolution polarimetric signature structure within rain bands. Improve passive microwave precipitation retrieval algorithms for near-shore areas; Compare colocated TRMM/PSR polarimetric signals for consistency; study beam-filling effects using high-resolution passive microwave imagery; compare retrieved PSR products to peak TRMM products to determine level of bias in extreme parameter regions. Compare PSR raw observations and retrieved products with those of TMI and SSM/I. Obtain first high-resolution multiband polarimetric conically-scanned imagery over strong convection and winds.


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