GPM Ground Validation Micro Rain Radar (MRR) GCPEx V2 (EC MRR and NASA MRR)
Table of Contents
Introduction
The GPM Ground Validation Micro Rain Radar (MRR) GCPEx datasets were collected during the GPM Cold-season Precipitation Experiment (GCPEx) in Ontario, Canada during the winter season of 2011 - 2012. Two separate MRR instruments were used during the campaign; five MRR instruments were operated by Environmental Canada (EC) and three were operated by NASA. Operating at 24 GHz, the MRR is a vertically pointing Doppler radar which derives quantitative rain rates, drop size distributions, radar reflectivity and fall velocities on vertical profiles up to several kilometers above the unit. Version 2 of these datasets became active on April 30, 2015; the original data (raw spectra format) was converted to netCDF format by the University of Wisconsin.
Citation
The following examples show how to cite the use of these datasets in a publication. For more information, please see our Citing GHRC DAAC and Data page.
EC:
Hudak, D., Kulie, M. and C. Pettersen. 2015. GPM Ground Validation Environment Canada (EC) Micro Rain Radar (MRR) GCPEx V2 [indicate subset used]. Dataset available online [ftp://gpm.nsstc.nasa.gov/gpm_validation/gcpex/mrr_EC/] from the NASA EOSDIS Global Hydrology Resource Center Distributed Active Archive Center, Huntsville, Alabama, U.S.A. doi: http://dx.doi.org/10.5067/GPMGV/GCPEX/MRR/DATA203
NASA:
Petersen, W., Gatlin, P., Kulie, M., and C. Pettersen. 2015. GPM Ground Validation NASA Micro Rain Radar (MRR) GCPEx V2 [indicate subset used]. Dataset available online [ftp://gpm.nsstc.nasa.gov/gpm_validation/gcpex/mrr_NASA/] from the NASA EOSDIS Global Hydrology Resource Center Distributed Active Archive Center, Huntsville, Alabama, U.S.A. doi: http://dx.doi.org/10.5067/GPMGV/GCPEX/MRR/DATA204
Campaign
The GPM Cold-season Precipitation Experiment (GCPEx) occurred in Ontario, Canada during the winter season of 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow.
During GCPEx, an MRR was located at each of the five sites in Ontario, Canada. The site names and locations for the Environmental Canada MRR and the NASA MRR are listed below.
EC:
Bob Morton: Lat: 44 degrees 10'35.29"N; Lon: 79 degrees 55'9.13"W
Steamshow:
Lat: 44 degrees 10'50.27"N; Lon: 79 degrees 43'4.63"W
Sky Dive:
Lat: 44 degrees 14'16.30"N; Lon: 79 degrees 38'25.02"W
CARE:
Lat: 44 degrees 13'59.45"N; Lon: 79 degrees 46'50.11"W
Huronia:
Lat: 44 degrees 41'10.25"N; Lon: 79 degrees 55'40.60"W
NASA:
CARE:
Lat: 44 degrees 13'59.45"N; Lon: 79 degrees 46'50.11"W
SteamShow:
Lat: 44 degrees 10'50.27"N; Lon: 79 degrees 43'4.63"W
The NASA MRR deployed at the Huronia site experienced a component failure soon after deployment, and thus no usable MRR data was collected at this site during the campaign.
Further details on GCPEx are available at http://gpm.nsstc.nasa.gov/gcpex. Information on the Global Precipitation Measurement (GPM) mission is available at http://pmm.nasa.gov/GPM. Additional campaign collections containing MRR data can be found at http://ghrc.nsstc.nasa.gov.
Instrument Description
The EC MRR is a frequency-modulated continuous wave (FMCW) vertically pointing Doppler radar, which operates at 24.24GHz. The MRR measures profiles of Doppler spectra and derives drop size distributions, rain rates, and liquid water rates. The MRR is the second generation of the instrument manufactured by METEK. Additional information is available at http://metek.de/product/mrr-2/.
*EC Disclaimer: Please note that the CARE and Steamshow MRRs used version 5 software and the Skydive, Huronia, and Morton MRRs used version 6 software.
*NASA Disclaimer: Since the derived fields (e.g., attenuation, radar reflectivity, rain rate, liquid water content) in level 1 and 2 data assume rain and no vertical wind, caution should be used when using these derived fields if any snow may have been falling or in the presence of strong vertical motions (Peters et al. 2005). Attenuation correction is only performed for PIA less than or equal to 10 dB (Peters et al. 2010).
Investigators
EC MRR:
David Hudak
Cloud Physics and Severe Weather Research Section
Environment Canada
King City, Canada
Mark Kulie
Space Science and Engineering Center
University of Wisconsin - Madison
Madison, WI 53706
Claire Pettersen
Space Science and Engineering Center
University of Wisconsin - Madison
Madison, WI 53706 |
NASA MRR:
Walter A. Petersen
NASA Wallops Flight Facility
Wallops Island, VA 23375.
Patrick Gatlin
Earth Science Office
NASA Marshall Space Flight Center
Huntsville, AL 35850
Mark Kulie
Space Science and Engineering Center
University of Wisconsin - Madison
Madison, WI 53706
Claire Pettersen
Space Science and Engineering Center
University of Wisconsin - Madison
Madison, WI 53706 |
File Naming Convention
The EC MRR files are named with the following convention:
MRR_YYYYMMDD_<site>-EC_snow.nc
The NASA MRR files are named with the following convention:
MRR_YYYYMMDD_NASA-<site>_snow.nc
where,
MRR = Micro Rain Radar
YYYYMMDD = the year, month, and day of the data
EC = Environment Canada
NASA = National Aeronautics and Space Administration
<site> = site name
.nc = netCDF file format
Data Format
The GPM Ground Validation MRR datasets consist of daily netCDF files for each campaign site. It should be noted that this is the second version of the data. Original GCPEx MRR data was published in the text format (ave) from the MRR company, however the ave data and raw data are not well documented. The University of Wisconsin reprocessed the MRR datasets and converted the raw spectra data to netCDF format after verifying the original format of the data. The Maahn algorithm was used to convert the snow cases, and the netCDF conversion was completed using the Maahn method documented by Maahn and Kollias.
*Disclaimer: Because of the conversion methods used, this data should be used assuming mostly snow.
Version
The MRR GCPEx datasets were originally published as:
EC:
Dataset Name: GPM Ground Validation Environment Canada (EC) Micro Rain Radar (MRR) GCPEx
Citation: Hudak, D. 2013. GPM Ground Validation Environment Canada (EC) Micro Rain Radar (MRR) GCPEx [indicate subset used]. Dataset available online [http://ghrc.nsstc.nasa.gov/] from the NASA EOSDIS Global Hydrology Resource Center Distributed Active Archive Center, Huntsville, Alabama, U.S.A. doi: http://dx.doi.org/10.5067/GPMGV/GCPEX/MRR/DATA202
NASA:
Dataset Name: GPM Ground Validation NASA Micro Rain Radar (MRR) GCPEx
Citation: Petersen, W. 2013. GPM Ground Validation NASA Micro Rain Radar (MRR) GCPEx [indicate subset used]. Dataset available online [http://ghrc.nsstc.nasa.gov/] from the NASA EOSDIS Global Hydrology Resource Center Distributed Active Archive Center, Huntsville, Alabama, U.S.A. doi: http://dx.doi.org/10.5067/GPMGV/GCPEX/MRR/DATA201
References
Mahhn, M. and P. Kollias, 2012: Improved Micro Rain Radar snow measurements using Doppler spectra post-processing. Atmos. Meas. Tech., 5, 2661-2673.
doi: http://dx.doi.org/10.5194/amt-5-2661-2012
Peters, Gerhard, Bernd Fischer, Hans Munster, Marco Clemens, Andreas Wagner, 2005: Profiles of Raindrop Size Distributions as Retrieved by Microrain Radars. J. Appl. Meteor., 44, 1930-1949.
doi: http://dx.doi.org/10.1175/JAM2316.1
Peters, Gerhard, Bernd Fischer, Marco Clemens, 2010: Rain Attenuation of Radar Echoes Considering Finite-Range Resolution and Using Drop Size
Distributions. J. Atmos. Oceanic Technol., 27, 829–842.
doi: http://dx.doi.org/10.1175/2009JTECHA1342.
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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