First application of the optimal estimation method to retrieve temperature from pure rotational raman scatter lidar measurements
We present the application of the Optimal Estimation Method (OEM) to retrieve atmospheric temperatures from pure rotational Raman (PRR) backscatter lidar measurements. A forward model (FM) is developed to retrieve temperature and tested using synthetic measurements. The OEM offers many advantages fo...
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Published in: | EPJ Web of Conferences Vol. 176; p. 1011 |
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Main Authors: | , , |
Format: | Journal Article Conference Proceeding |
Language: | English |
Published: |
Les Ulis
EDP Sciences
01-01-2018
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Subjects: | |
Online Access: | Get full text |
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Summary: | We present the application of the Optimal Estimation Method (OEM) to retrieve atmospheric temperatures from pure rotational Raman (PRR) backscatter lidar measurements. A forward model (FM) is developed to retrieve temperature and tested using synthetic measurements. The OEM offers many advantages for this analysis, including eliminating the need to determine temperature calibration coefficients. |
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ISSN: | 2100-014X 2101-6275 2100-014X |
DOI: | 10.1051/epjconf/201817601011 |