Improved Micro Rain Radar snow measurements using Doppler spectra post-processing

This page lists all metadata that was entered for this dataset. Only registered users of the TR32DB may download this file.

Feature
Request downloadRequest download
Full Name:
Affiliation:
eMail:
Purpose of use:
 
Bot check:
Type all characters with this
color
.
 
It is case sensitive.
 
 
 
Submit
Citation
Citation Options
Identification
Title:Main Title: Improved Micro Rain Radar snow measurements using Doppler spectra post-processing
Description:Abstract: The Micro Rain Radar 2 (MRR) is a compact Frequency Modulated Continuous Wave (FMCW) system that operates at 24 GHz. The MRR is a low-cost, portable radar system that requires minimum supervision in the field. As such, the MRR is a frequently used radar system for conducting precipitation research. Current MRR drawbacks are the lack of a sophisticated post-processing algorithm to improve its sensitivity (currently at + 3 dBz), spurious artefacts concerning radar receiver noise and the lack of high quality Doppler radar moments. Here we propose an improved processing method which is especially suited for snow observations and provides reliable values of effective reflectivity, Doppler velocity and spectral width. The proposed method is freely available on the web and features a noise removal based on recognition of the most significant peak. A dynamic dealiasing routine allows observations even if the Nyquist velocity range is exceeded. Collocated observations over 115 days of a MRR and a pulsed 35.2 GHz MIRA35 cloud radar show a very high agreement for the proposed method for snow, if reflectivities are larger than - 5 dBz. The overall sensitivity is increased to − 14 and − 8 dBz, depending on range. The proposed method exploits the full potential of MRR’s hardware and substantially enhances the use of Micro Rain Radar for studies of solid precipitation.
Responsible Party
Creator:Maximilian Maahn (Author)
Publisher:CRC/TR32 Database (TR32DB)
Publication Year:2013
Topic
TR32 Topic:Remote Sensing
Related Subproject:D5
Subject:Keyword: PhD Report
File Details
Filename:Report3_Maahn_2012.pdf
Data Type:Text - Text
File Size:4.1 MB
Date:Available: 01.10.2012
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:Only Project Members
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:[TR32DB] Data policy agreement
Geographic
Specific Information - Report
Report Date:1st of October, 2012
Report Type:PhD Report
Report City:Cologne, Germany
Report Institution:Institute for Geophysics and Meteorology, University of Cologne, Germany
Number of Pages:13 (1 - 13)
Further Information:TR32 Student Report Phase II
Metadata Details
Metadata Creator:Maximilian Maahn
Metadata Created:16.12.2013
Metadata Last Updated:16.12.2013
Subproject:D5
Funding Phase:2
Metadata Language:English
Metadata Version:V50
Metadata Export
Metadata Schema:
Dataset Statistics
Page Visits:728
Metadata Downloads:0
Dataset Downloads:1
Dataset Activity
Feature
A download is not possibleDownload