Analytical calibration functions for the pure rotational Raman lidar technique

Dades bibliogràfiques
Parent link:Optics Express
Vol. 24, iss. 5.— 2016.— [P. 5136-5151]
Autor principal: Gerasimov V. V. Vladislav
Autor corporatiu: Национальный исследовательский Томский политехнический университет Институт природных ресурсов Кафедра гидрогеологии, инженерной геологии и гидрогеоэкологии
Altres autors: Zuev V. V. Vladimir Vladimirovich
Sumari:Title screen
We present a calibration function in the general analytical form for the tropospheric temperature retrievals using pure rotational Raman (PRR) lidars. The function is derived within the framework of the semiclassical theory and takes into account the collisional broadening of all PRR lines. We analyze via simulation its four simplest nonlinear (three-coefficient) special cases to determine the function that yields the least error, and therefore, is the best-suited for the temperature retrievals. Two of them are proposed for the first time. The comparative analysis of temperature errors showed that all the special cases yield errors less than 0.1 K in modulus, and therefore, can be applied for the tropospheric temperature retrievals. The best function yields the maximum error less than 0.002 K in modulus and five times smaller compared to the commonly used nonlinear calibration function.
Режим доступа: по договору с организацией-держателем ресурса
Idioma:anglès
Publicat: 2016
Matèries:
Accés en línia:https://doi.org/10.1364/OE.24.005136
Format: Electrònic Capítol de llibre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=650324

MARC

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330 |a We present a calibration function in the general analytical form for the tropospheric temperature retrievals using pure rotational Raman (PRR) lidars. The function is derived within the framework of the semiclassical theory and takes into account the collisional broadening of all PRR lines. We analyze via simulation its four simplest nonlinear (three-coefficient) special cases to determine the function that yields the least error, and therefore, is the best-suited for the temperature retrievals. Two of them are proposed for the first time. The comparative analysis of temperature errors showed that all the special cases yield errors less than 0.1 K in modulus, and therefore, can be applied for the tropospheric temperature retrievals. The best function yields the maximum error less than 0.002 K in modulus and five times smaller compared to the commonly used nonlinear calibration function. 
333 |a Режим доступа: по договору с организацией-держателем ресурса 
461 |t Optics Express 
463 |t Vol. 24, iss. 5  |v [P. 5136-5151]  |d 2016 
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701 1 |a Zuev  |b V. V.  |c hydrogeologist  |c Professor of Tomsk Polytechnic University, Doctor of physical and mathematical sciences  |f 1956-  |g Vladimir Vladimirovich  |3 (RuTPU)RU\TPU\pers\35925  |9 19066 
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