1. Ship-Based Measurements of Cloud Microphysics and PBL Properties in Precipitating Trade Cumuli During RICO Institutions: University of Miami; University of Colorado; NOAA ETL Investigators: P. Kollias (UM); J. Hare and A. White (CU); C. Fairall, G. Feingold, and R. Hill (ETL)

2. Understanding the Dynamics and Microphysics of Small Cumuli and Precipitation Onset

3. 1.What is the range of the dynamical and microphysical structures in trade-wind cumuli, and how do these structures affect the lifecycle of clouds under varying wind shear, stability, and aerosol conditions? 2.What microphysical / dynamical factors and time scales are involved in the production of large-drop concentrations in fair-weather cumulus clouds? 3.How do the raindrop size distributions evolve from the initial to mature precipitating stages of shallow cumuli? Scientific Questions to Be Addressed

4. Scientific Questions to be Addressed 4.How is the marine boundary layer altered by precipitation from trade-wind cumuli? 5.What are the statistical properties of precipitating trade-wind cumuli from the cloud to mesoscale scale?

5. Approaches Coordination with Surface-Based Radars and Aircraft and Integration of Observations Continuous Monitoring for Cloud Statistics Intensive Process Studies LES Studies

6. Ship-Based Radars 915-MHz wind profiler--PBL 3-D winds, inversion height, cloud and precipitation structure 9.4 GHz Doppler Radar (upward pointing)—Reference reflectivity; Doppler spectra 35 GHz Scanning Doppler cloud radar—Reflectivity and Doppler moments; Cloud mapping and microphysical properties; precipitation mapping 94-GHz Doppler radar (stabilized/scanning)--High resolution Doppler spectra; cloud and precipitation microphysics

7. W-Band Cloud Reflectivities

8. Dynamical and Microphysical Structure of Trade-Wind Cumuli Boundary Layer/Cloud Characterizations Inversion Height Horizontal wind Bragg/Rayleigh scattering Updrafts/Downdrafts Entrainment 915-MHz wind profiler (SNR) Bragg “halo”, W-band cloud boundaries Updraft-Downdraft structures

9. Large drop Formation in Trade-Wind Cumuli High resolution data from NOAA/K (4 /sec) Doppler spectrum width from W-band Detection of large drop production

10. Raindrop DSD evolution in early precipitation stages W/X dual wavelength precipitation retrievals X-band reflectivity (cloud top, morphology) W-band Mie scattering, Doppler spectra Vertical air motion (within 5 cms -1 ) DSD retrieval if Dmax > 1.7 mm Differential reflectivity and mean Doppler W-band Doppler spectra X-band Doppler spectra

11. Cloud Scale to Mesoscale Radar data collection at the highest of temporal and spatial resolution are expected providing a detail 2-D or 3-D mapping of cloud entities The NOAA/K scanning radar is expected to sample a 60-100 km swath around the ship providing the link between the individual cloud observed overhead and the mesoscale organization of precipitating and non-precipitating trade- wind cumuli. Despite strong gaseous attenuation in a tropical environment (0.5 dB/km) we anticipate that the NOAA/K will be able to observe “first rain echoes” (-5 to 0 dBZ) at 50 km range.

12. Observing Strategies and Coordination with Other RICO Observing Systems Aircraft Surface-Based Radars

13. UM Cloud and Precipitation Mobile Observatory W-band X-band

14. Ship-Board Instrumentation Motion/navigation package Sonic anemometer/thermometer IR fast H2O/CO2 sensor Mean SST, air temperature, RH Pyranometer/Pyrgeometer Ceilometer 915-MHz wind profiler (ETL) 94-GHz Doppler radar (UMDCR) 35 GHz Scanning Doppler cloud radar (NOAA/K) 9.4 GHz Doppler Radar (UM) Doppler lidar (NOAA ETL) 23, 31and 90 GHz microwave radiometer Riegl Laser wave sensor Precipitation spectrometer BNL rotating shadowband radiometer Radiosondes (UW)

15. Scientific Questions to be Addressed 5.Can we find evidence for cloud processing of aerosol in the aerosol size distributions? 6.Can we detect changes in cloud microphysics under different aerosol loadings?

16. 30 km 500m 10-15 o NOAA/K meso-scale swath NOAA/K “cloud entity” swath UM (W/X) NOAA 915-MHz Statistical Properties of precipitating trade wind cumuli from cloud scale to mesoscale

17. UM W-band Doppler radar Frequency: 94.2 GHz (wavelength = 3.19 mm) Antenna: 0.91 m, Cassengrain 0.24 o beamwidth (8-10 m at 1 km range) Vertical resolution: 30 m, Temporal Resolution: 0.5 -1 sec PRF: 5-10 kHz (4-8 ms -1 ) Nyquist Doppler spectra, raw I/Q Sensitivity: -52 dBZ @ 1 km UM X-band Doppler radar Frequency: 9.4 GHz (wavelength = 3.2 cm) Antenna: 2 m, Cassengrain Vertical resolution: 60 m, Temporal Resolution: 0.5 -1 sec PRF: 1-2.5 kHz (8-20 ms -1 ) Nyquist Doppler spectra, raw I/Q Sensitivity: -25 dBZ @ 10 km Ceilometer Broadband radiometers IRT Surface Met. Rain gauge ** NOAA/ETL 2 channel Microwave Radiometer UM Cloud and Precipitation Mobile Observatory

18. 915-MHz wind profiler (NOAA/ETL) Electronically compensated for ship motion 5-beams 3 components of atmospheric wind vector Bragg scattering from clouds and boundary layer inversion

19. NOAA/K Radar Characteristics Frequency: 34.66 GHz (wavelength = 8.6 mm) Transmit Power: 80 kW peak; 40 W avg. Transmitter: magnetron Antenna A1: 1.2-m diameter offset Cassegrain Antenna A2: 1.6-m diameter center-feed Beam Width: 0.3 – 0.5 deg., circular Pulse Length: 0.25 microsec Resolution: 37.5 m PRF: selectable (2000/s typical), double pulse method is used to extend Nyquist. Scans: PPI, RHI, sector, fixed-beam, co-plane, all with elevations through zenith and below horizon. Scan Rates: up to 30 deg/sec. Sensitivity: approx. –30 dBZ at range of 10 km Polarizations: RHC, LHC, and ellipticals with QWP, H, V, and tilted linear with HWP on antenna A1; H or tilted linear on antenna A2. Doppler Processing: pulse pairs or time series/Doppler spectra