| Airborne Second Generation Precipitation Radar | APR-2 | PI:
Steve Durden, JPL Co-I:
Simone Tanelli,
Ziad Haddad,
JPL | 13/35-GHz dual-frequency Doppler radar | Direct: Lag-0 and lag-1 raw data at 13 and 35 GHz, co- and cross-pol. Derived:
HH (co-pol) radar reflectivity at 13 and 35 GHz
Linear Depolarization Ratio (LDR) at 13 and 35 GHz
Vertical Doppler velocity profiles at 13 and 35 GHz For selected cases:
• Vertical air motion
• Rainfall rate
• Drop-size distribution mean size (or equivalent) |
| Cloud Aerosol and Precipitation Spectrometer | CAPS | PI:
Andrew Heymsfield, NCAR Aaron Bansemer, NCAR | Spectrometer + Imaging Probe | Direct: aerosol particle properties, particle size distribution |
| Cloud Spectrometer and Impactor | CSI | Impactor | Direct: total cloud liquid water/ice |
| Precipitation and Imaging Probe | PIP | Imaging Probe | Direct: particle size distribution Derived products of CAPS-CSI-PIP:
Extinction, effective radius, mean/median cloud particle diameter, ice/liquid water content, radar reflectivity |
| Doppler Aerosol WiNd lidar | DAWN | PI:
Michael J. Kavaya,
NASA LaRC CO-I:
Robert M. Atlas, NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML) Jeffrey Y. Beyon,
Grady J. Koch,
Upendra N. Singh,
Bo C. Trieu,
Jirong Yu,
NASA LaRC G.David Emmitt, Simpson Weather Associates | Doppler Lidar | Direct: Backscattered light frequency vs. time/range Derived:
Vertical profiles of u, v, and w components of 3-D wind in the region below the aircraft. Various vertical and horizontal resolutions are possible. Vertical profiles of LOS wind for the five (5) azimuth angles. Vertical profiles of relative aerosol backscatter (at 2-microns wavelength and circularly polarized light and 30-deg nadir angle), in the region below the aircraft, for the five (5) azimuth angles. Vertical profiles of wind turbulence in the region below the aircraft, for the five (5) azimuth angles. Correlations of the data products vs. height. |
| DC-8 Dropsonde | Dropsonde | PI:
Jeff Halverson,
NASA GSFC | Radiosonde | Direct:
Vertical profiles of pressure, temperature, humidilty, and wind |
| Langley Aerosol Research Group Experiment | LARGE | PI:
Bruce Anderson,
Gao Chen,
NASA LaRC Co-I:
Jack Dibb,
University of New Hampshire Thanos Nenes,
Georgia Tech Jason Dunion,
Robert Black,
NOAA HRD | In situ aerosol sensors including condensation nuclei counters, optical particle spectrometers, an aerodynamic particle sizer, multi-wavelength particle-soot absorption photometers, and integrating nephelometers | Direct:
Condensation Nuclei
Aerosol Particle Size
Cloud Condensation Nuclei Spectra
Scattering Humidity
Dependence
Absorption at 405, 532, and 781 nm
Scattering at 450, 550, and 700 nm
Black Carbon Mass, Size
Soluble Ion Composition Derived:
In Flight (to DC-8 data system)
*Scattering coefficient
* Particle number density
* Displays of size distributions and other parameters Field Archive (<24 hrs):
* Optical Properties: scattering, absorption, SSA, Angstrom exponents, etc.
* Particle number densities, surface areas, and volumes over 5 discreet size ranges
* CCN at single saturation |
| Lidar Atmospheric Sensing Experiment | LASE | PI:
Syed Ismail, NASA LaRC Co-I:
Richard Ferrare, Johnathan Hair
NASA LaRC | Lidar | Direct: Water vapor mixing ratio, aerosol scattering ratio, and cloud distributions. Derived:
Relative humidity, precipitable water vapor profiles, aerosol backscatter, aerosol extinction, and aerosol optical thickness profiles (815 nm). |
| Meteorological Measurement System | MMS | PI:
Paul Bui
NASA ARC CO-I:
Cecilia Chang & Jonathan Dean-Day,
Bay Area Environment Research Institute (BAERI) | In situ sampling | Direct:
DGPS Positions;
Velocities;
Accelerations;
Pitch, Roll;
Heading;
Angle-of-Attack;
Angle-of-Sideslip;
Dynamic Total Pressures;
Total Temperatures Derived:
Static pressure;
Static temperature;
Three-dimensional wind vector;
Potential Temperature;
True-Air-Speed;
Turbulence |
