TCSP Cloud Radar System (CRS)
Table of Contents
1. Introduction
The Cloud Radar System (CRS) data were collected in support of The Tropical Cloud Systems and Processes mission (TCSP), conducted by NASA and the National Oceanic and Atmospheric Administration (NOAA), in Costa Rica throughout July 2005. The TCSP mission collected data for research and documentation of "cyclogenesis", the interaction of temperature, humidity, precipitation, wind and air pressure that creates ideal birthing conditions for tropical storms, hurricanes and related phenomena. The goal of this mission was to help us better understand how hurricanes and other tropical storms are formed and intensify.

The CRS provides vertically profiled reflectivity and Doppler velocity at aircraft nadir along the flight track.
Instrument Description
The CRS is a 94 GHz (W-band; 3 mm wavelength) Doppler radar developed for autonomous operation in the NASA ER-2 high-altitude aircraft and for ground-based operation. It provides high-resolution profiles of reflectivity and Doppler velocity in clouds and it has important applications to atmospheric remote sensing studies. The CRS was designed to fly with the Cloud Lidar System (CLS), in the tail cone of an ER-2 superpod. There are two basic modes of operation of the CRS: 1) ER-2 mode ,with reflectivity, Doppler, and linear-depolarization measurements, and 2) ground-based mode, with full polarimetric capability. The ER-2 mode was used during the TCSP mission.
The CRS consists of subsystems including the transmitter/receiver, antenna, processor/radar controller, and disk data storage. More detailed information about the Cloud Radar System, including system specifications, may be found at the CRS Home Page.
Documentation
Included with our documentation package are the following files:
UF-IDL.guide.txt - An IDL help guide for the binary data which is in Universal Format (UF).
CRS-UF.txt - A text version of the Universal format for CRS binary data (level 1).
ASCII-README.txt - A description of the ASCII data product files.
software.tar - Contains numerous program files to be used with IDL that will extract specific pieces of information from the CRS binary data files.
formatspec_2_0.pdf - The Gaines-Hipskind ASCII file format specification, version 2.
Full Instrument documentation for the CRS may be found at the CRS Home Page.
NOTE: Use of these software files requires the commercial visualization program IDL available from ITT Corporation.
File Naming Convention
Binary Data
These files are in Universal Format and contain the full reflectivity and Doppler data set. These files are large, ranging from 10-100 MB per flight leg. Currently these data are in BETA release only, and can be obtained directly from the data producer. To obtain these files, please use the quicklooks to determine cases you may be interested in. Upon identification of such cases, please contact CRS data producers and they will arrange the best possible method of data delivery. http://rsd.gsfc.nasa.gov/912/edop/crs_id_description.htm
ASCII Data (Reflectivity and Ice Water Content)
This dataset includes preliminary radar reflectivity products measured by the NASA Goddard Space Flight Center Cloud Radar System (CRS) during the TCSP field campaign.
The ASCII files are named:
CRYYMMDD_hhmm__REF.ER2 (reflectivity)
CRYYMMDD_hhmm__IWC.ER2 (ice water content)
Where, YY=year, MM=month, DD=day, hh=hour and mm=minute
and, REF=reflectivity, IWC=ice water content and ER2=instrument platform.
Browse
Browse images of reflectivity and Doppler are derived from the Universal Format (UF) data files which are segmented into straight and level flight tracks.
The browse files are named:
crs_YYMMDD_ssss-eeee_v1.gif
crs_YYMMDD_ssss-eeee_v1_merge.gif
Where, YY=year, MM=month, DD=day, ssss=start time(hhmm), eeee=stop time (hhmm), v1=version
Data Format
Binary Data
These files are in Universal Format and contain the full reflectivity and Doppler data set. These files are large, ranging from 10-100 MB per flight leg. Currently these data are in BETA release only, and can be obtained directly from the data producer. To obtain these files, please use the quicklooks to determine cases you may be interested in. Upon identification of such cases, please contact CRS data producers and they will arrange the best possible method of data delivery. http://rsd.gsfc.nasa.gov/912/edop/crs_id_description.htm
ASCII Data (Reflectivity and Ice Water Content)
The ASCII reflectivity data are in the Gaines-Hipskind ASCII file format. This format specification can be found in the file formatspec_2_0.pdf. The layout and other specifics of the data files can be found in the document ASCII-README.txt. These documents and more are included with the dataset.
References
Li L., G. M. Heymsfield, P. E. Racette, L. Tian, E. Zenker, 2003: A 94 GHz Cloud Radar System on a NASA High-altitude ER-2 Aircraft, J. Atmos. Oceanic Tech., 21, 1378-1388.
M.J. McGill, L. Li, W.D. Hart, G.M. Heymsfield, D.L. Hlavka, P.E. Racette, L. Tian, M.A. Vaughan, and D.M. Winker, 2004: Combined Lidar-Radar Remote Sensing: Initial Results from CRYSTAL-FACE, J. Geophys. Res.,109, D2703.
Ridley B., L. Ott, K. Pickering, L. Emmons, D. Montzka, A. Weinheimer, D. Knapp, F. Grahek, L. Li, G. Heymsfield, M. McGill, P. Kucera, M. J. Mahoney, D. Baumgardner, M. Schultz, and B. Brasseur, 2004: Florida Thunderstorms: A Faucet of Reactive Nitrogen to the Upper Troposphere,J. Geophys. Res., 109, D17305, doi:10.1029/2004JD004769.
Evans, K.F., J. R. Wang, P. E. Racette, G. M. Heymsfield, and L. Li, 2005: Ice Cloud Retrievals and Analysis with the Compact Scanning Submillimeter Imaging Radiometer and the Cloud Radar System during CRYSTAL-FACE, J. App. Met., 44, 839-859.
Li L., G. M. Heymsfield, L. Tian, P. E. Racette, 2005: Measurements of Ocean Surface Backscattering Using an Airborne 94-GHz Cloud Radar - Implication for Calibration of Airborne and Spaceborne W-band Radars, J. Atmos. Oceanic Tech., 22, 1033-1045.
Mitrescu, C., J, M. Haynes, G. L. Stephens, S. D. Miller, G. M. Heymsfield, and M. J. McGill 2005: Cirrus cloud optical, microphysical, and radiativeproperties observed during the CRYSTAL-FACE experiment: A lidar-radar retrieval system, J. Geophys. Res., 110, D09208, doi:10.1029/2004JD005605.
Wang, Z., G. M. Heymsfield, L. Li, and A. J. Heymsfield, 2005: Retrieving optically thick ice cloud microphysical properties by using airborne dual-wavelength radar measurements, J. Geophys. Res., 110, D19201, doi:10.1029/2005JD005969.
Heymsfield, G. M., L. Li, L. Tian, M. McGill, Z. Wang, 2003: Thunderstorm generated cirrus observed from X and W-band airborne radar during CRYSTAL-FACE, Preprints 31st AMS Conference on Radar Meteorology, Seattle, WA, 6-12 August.
Lihua Li, G. M. Heymsfield, P. E. Racette, L. Tian, 2003: Calibration of a 94 GHZ airborne cloud radar using measurements from the ocean surface , Preprints 31st AMS Conference on Radar Meteorology, Seattle, WA, 6-12 August.
Racette, P. E., G. M. Heymsfield, L. Li, L. Tian and E. Zenker, 2003: The cloud radar system, Preprints 31st AMS Conference on Radar Meteorology, Seattle, WA, 6-12 August.
Tian, L., G. M. Heymsfield, L. Li, 2003: Stratiform precipitation observed by airborne radar at 94 and 10 GHZ, Preprints 31st AMS Conference on Radar Meteorology, Seattle, WA, 6-12 August.
Tian L., R. Srivastava, G. Heymsfield, L. Li, 2004: Estimation of raindrop size distribution in stratiform rain from dual-wavelength airborne Doppler radars,2nd TRMM Internal Science Conference, 6-10 September, Nara, Japan.
Sayres, D. S., J. V.Ptiiman, E.M. Weinstock, J.G. Anderson, G. Heymsfield, L. Li, A. Fridlind and A.S. Ackerman, 2004: Methods for validation and intercomparison of remote sensing and in situ ice water measurements: Case studies from CRYSTAL-FACE and model results.SPARC, Victoria, British Columbia, Canada, August 1-6, 2004.
Evans, F, J.R. Wang, P.E. Racette, G. Heymsfield, L. Li, 2004: Submillimeter-wave radiometric measurements of ice cloudswith COSSIR, Microwave Radiometry and Remote Sensing Applications,February 24-27, Rome, Italy.
Wang Z., G. M. Heymsfield, L. Li, A. J. Heymsfield, 2004: Ice cloud microphysical property retrieval using airborne two-frequency radars.SPIE Asia-Pacific Symposium on Remote Sensing 2004, Honolulu, HI, November 2004.
Contact Information
To order these data or for further information, please contact:
Global Hydrology Resource Center
User Services
320 Sparkman Drive
Huntsville, AL 35805
Phone: 256-961-7932
E-mail: support-ghrc@earthdata.nasa.gov
Web: http://ghrc.nsstc.nasa.gov/
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