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Dataset

 

Iceland Greenland seas Project (IGP): precipitation measurements from the University of Bergen Micro Rain Radar (MRR2) on board the NATO Research Vessel Alliance

Latest Data Update: 2021-02-10
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2021-02-11
Download Stats: last 12 months
Dataset Size: 98 Files | 7GB

Abstract

This dataset contains measurements from the Micro Rain Radar (MRR2), manufactured by Meteorologische Messtechnik GmbH (Metek) installed onboard the NATO Research Vessel Alliance during the Iceland Greenland Seas Project.
The MRR2 is a frequency modulated (FM), continuous wave (CW) Radar (Radio Detection and Ranging) that obtains doppler spectral density at each range gate with a time resolution of 10 s. The terminal velocity of the precipitation targets (vT) is the primarily retrieved variable from these doppler spectral density observations. Additionally, drop size distribution and the corresponding moments, for example liquid water content (LWC), rain rate (RR) and Radar Reflectivity (Ze) are retrieved with post processing.
The initial installation location from 03-13 Feb 2018 was midship on the weatherdeck. At Reykjavik harbour the MRR2 worked as expected, while at sea artificial signals at three elevations appeared. The artificial signals were due to an interference on the power cable or power source. On 11 Feb 2018, a separate power source for the MRR2 could be secured, and it subsequently operated without interferences after ~12 UTC that day. For further details and figures on the MRR2 and its operation in the cruise please read the attached documentation.

Citable as:  Sodemann, H. (2021): Iceland Greenland seas Project (IGP): precipitation measurements from the University of Bergen Micro Rain Radar (MRR2) on board the NATO Research Vessel Alliance. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/dc723f82939843f199fff78778d5b8d0/
Abbreviation: Not defined
Keywords: IGP, meterological, buoy, ocean currents, wave height

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
Use of these data is covered by the following licence(s):
https://artefacts.ceda.ac.uk/licences/missing_licence.pdf
When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data collected during the IGP field campaign, then processed and quality controlled at the University of Bergen.

Data Quality:
This data has been quality controlled at the University of Bergen.
File Format:
Data are netCDF formatted.

Related Documents

 Dataset documentation

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Instrument/Platform pairings

University of Bergen: Micro Rain Radar (MRR2) Deployed on: Alliance Ship

Computation Element: 1

Title Computation and post processing of IGP MRR data using IMProToo software
Abstract During the campaign, both ProcessedData (.pro) and RawSpectra (.raw) were saved in daily files from 3 February to 22 March 2018. No averaged data files (.ave) were saved. Short breaks in data acquisition lead to several data gaps during the campaign, which are apparent as missing data in the data files. The ProcessedData files were converted to compressed netCDF format, using a modified version of mrr2c V1.0.2 (c) 2017-2020 by Peter Kuma (https://github.com/peterkuma/mrr2c). Output from this conversion is stored as daily datafiles (naming: bergen-mrr2_yyyymmdd_processed-v1.nc; format: netcdf) in directory: MRR_Alliance_Pro_v1/ In addition, data files were processed with the tool IMProToo v0.101 (https://github.com/maahn/IMProToo), based on the *.raw data files. Output of this processing is stored as daily datafiles (naming: bergen-mrr2_alliance_yyyymmdd_IMProToo-v0.nc; format: netcdf) in directory: MRR_Alliance_IMProToo_v0/ Post processing was done by Harald Sodemann (UiB), who also acts as data contact.
Input Description None
Output Description None
Software Reference None
Output Description

IGP:MRR

  • units: dB
  • var_id: SNR
  • units: -
  • var_id: TF
  • units: m/s
  • var_id: W
  • units: m/s
  • var_id: W_noDA
  • var_id: Ze
  • units: dBz
  • units: dBz
  • var_id: Ze_noDA
  • units: dBZ
  • var_id: z
  • long_name: attenuated radar reflectivity
  • var_id: class
  • units: mm
  • var_id: D
  • long_name: drop size
  • var_id: eta
  • units: mm^6/m^3
  • var_id: etaMask
  • units: bool
  • units: bool
  • var_id: etaMask_noDA
  • units: mm^6/m^3
  • var_id: etaNoiseAve
  • units: mm^6/m^3
  • var_id: etaNoiseStd
  • units: mm^6/m^3
  • var_id: eta_noDA
  • var_id: W
  • long_name: fall velocity
  • units: m s^{-1}
  • units: m
  • var_id: height
  • units: m/s
  • var_id: kurtosis
  • units: m/s
  • var_id: kurtosis_noDA
  • var_id: leftSlope
  • units: dB/(m/s)
  • units: dB/(m/s)
  • var_id: leftSlope_noDA
  • var_id: levels
  • var_id: levels_2
  • var_id: LWC
  • long_name: liquid water content
  • units: g m^{-3}
  • units: dB
  • var_id: PIA
  • long_name: path integrated attenuation
  • units: m/s
  • var_id: peakVelLeftBorder
  • units: m/s
  • var_id: peakVelLeftBorder_noDA
  • units: m/s
  • var_id: peakVelRightBorder
  • units: m/s
  • var_id: peakVelRightBorder_noDA
  • units: percent
  • var_id: MDQ1
  • long_name: percentage of valid spectra
  • var_id: quality
  • units: bin
  • units: dBZ
  • var_id: Z
  • long_name: radar reflectivity
  • var_id: RR
  • long_name: rain rate
  • units: mm h^{-1}
  • var_id: range
  • units: #
  • units: #
  • var_id: range_2
  • units: dB/(m/s)
  • var_id: rightSlope
  • units: dB/(m/s)
  • var_id: rightSlope_noDA
  • units: m/s
  • var_id: skewness
  • units: m/s
  • var_id: skewness_noDA
  • var_id: N
  • long_name: spectral drop density
  • units: m^{-3} mm^{-1}
  • units: dB
  • var_id: F
  • long_name: spectral reflectivity
  • units: m/s
  • var_id: spectralWidth
  • units: m/s
  • var_id: spectralWidth_noDA
  • var_id: TF
  • long_name: transfer function
  • units: m/s
  • var_id: velocity
  • units: m/s
  • var_id: velocity_noDA

Co-ordinate Variables

  • standard_name: time
  • var_id: time
Coverage
Temporal Range
Start time:
2018-02-04T12:04:44
End time:
2018-03-19T12:49:26
Geographic Extent

 
70.5798°
 
-22.4201°
 
-16.1624°
 
64.1502°
 
Related parties
Authors (1)
Principal Investigators (1)