Automated compact mobile Raman lidar for water vapor measurement: instrument description and validation by comparison with radiosonde, GNSS, and high-resolution objective analysis
We developed an automated compact mobile Raman lidar (MRL) system for measuring the vertical distribution of the water vapor mixing ratio (w) in the lower troposphere, which has an affordable cost and is easy to operate. The MRL was installed in a small trailer for easy deployment and can start meas...
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Veröffentlicht in: | Atmospheric measurement techniques 2019-01, Vol.12 (1), p.313-326 |
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Sprache: | eng |
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Zusammenfassung: | We developed an automated compact mobile Raman lidar (MRL) system for
measuring the vertical distribution of the water vapor mixing ratio (w) in
the lower troposphere, which has an affordable cost and is easy to operate.
The MRL was installed in a small trailer for easy deployment and can start
measurement in a few hours, and it is capable of unattended operation for
several months. We describe the MRL system and present validation results
obtained by comparing the MRL-measured data with collocated radiosonde,
Global Navigation Satellite System (GNSS), and high-resolution objective
analysis data. The comparison results showed that MRL-derived w agreed
within 10 % (root-mean-square difference of
1.05 g kg−1) with values obtained
by radiosonde at altitude ranges between 0.14 and 1.5 km in the daytime and
between 0.14 and 5–6 km at night in the absence of low clouds; the vertical
resolution of the MRL measurements was 75–150 m, their temporal resolution
was less than 20 min, and the measurement uncertainty was less than 30 %.
MRL-derived precipitable water vapor values were similar to or slightly lower
than those obtained by GNSS at night, when the maximum height of MRL
measurements exceeded 5 km. The MRL-derived w values were at most 1 g kg−1
(25 %) larger than local analysis data. A total of 4 months of continuous operation
of the MRL system demonstrated its utility for monitoring water vapor
distributions in the lower troposphere. |
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ISSN: | 1867-8548 1867-1381 1867-8548 |
DOI: | 10.5194/amt-12-313-2019 |