Nwaboh, Javis A. ; Werhahn, Olav ; Ebert, Volker (2024)
H₂O Collisional Broadening Coefficients at 1.37 µm and Their Temperature Dependence: A Metrology Approach.
In: Applied Sciences, 2021, 11 (12)
doi: 10.26083/tuprints-00019546
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | H₂O Collisional Broadening Coefficients at 1.37 µm and Their Temperature Dependence: A Metrology Approach |
Language: | English |
Date: | 12 January 2024 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2021 |
Place of primary publication: | Basel |
Publisher: | MDPI |
Journal or Publication Title: | Applied Sciences |
Volume of the journal: | 11 |
Issue Number: | 12 |
Collation: | 12 Seiten |
DOI: | 10.26083/tuprints-00019546 |
Corresponding Links: | |
Origin: | Secondary publication DeepGreen |
Abstract: | We report self- and air collisional broadening coefficients for the H₂O line at 7299.43 cm⁻¹ and corresponding temperature coefficients for a temperature range spanning 293–573 K. New laser spectroscopic setups specifically designed for this purpose have been developed and are described. The line parameters reported here are in good agreement with those values reported in the HITRAN 2020 database, but the uncertainties have been reduced by factors of about 4, 1.3 and 4.4 for the self-broadening coefficient, air broadening coefficient and the temperature exponent of air broadening, respectively. Further, we combined our measurement approach with metrological data quality objectives, addressing the traceability of the results to the international system of units (SI) and evaluated the uncertainties following the guide to the expression of uncertainty in measurement (GUM). |
Uncontrolled Keywords: | laser spectroscopy, gas metrology, water vapor, collisional broadening, broadening temperature dependence |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-195466 |
Additional Information: | This article belongs to the Special Issue Diode Laser Spectroscopy – Robust Sensing for Environmental and Industrial Applications |
Classification DDC: | 500 Science and mathematics > 530 Physics 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
Divisions: | 16 Department of Mechanical Engineering > Institute of Reactive Flows and Diagnostics (RSM) |
Date Deposited: | 12 Jan 2024 15:05 |
Last Modified: | 12 Mar 2024 14:55 |
SWORD Depositor: | Deep Green |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/19546 |
PPN: | 516176706 |
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