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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  24 Feb 2020

24 Feb 2020

Review status
This preprint is currently under review for the journal AMT.

Tomographic retrieval algorithm of OH concentration profiles using Double Spatial Heterodyne Spectrometers

Yuan An1,2,3, Jinji Ma1,2,3, Yibo Gao1,2,3, Wei Xiong4,5, and Xianhua Wang4,5 Yuan An et al.
  • 1School of Geography and Tourism, Anhui Normal University, Wuhu, 241003, China
  • 2Engineering Technology Research Center of Resource Environment and GIS, Wuhu, 241003, China
  • 3Key Laboratory of the Research of Natural Disaster Process and Prevention, Wuhu, 241003, China
  • 4Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China
  • 5Key Laboratory of Optical Calibration and Characterization of Chinese Academy of Sciences, Hefei, 230031, China

Abstract. The hydroxyl radical (OH) determines the atmospheric self-cleaning capability and is one of the significant oxidants in atmospheric photochemistry reactions. The global OH has been monitored by satellites with the traditional limb mode in the past decades. This observed mode can achieve high-resolution vertical OH data, but cannot obtain the enough horizontal OH data for inverting high-precision OH concentrations because OH has the high reactivity that makes its concentrations extremely low and distributions complicated. The Double Spatial Heterodyne Spectrometers (DSHS) is designed in order to achieve more high-resolution and detailed OH data. This sensor can measure the OH by the three-dimensional limb mode to obtain the comprehensive OH data in the atmosphere. We propose a new tomographic retrieval algorithm here based on the simulated observation data due to the DSHS will work officially on the orbit in the future. We build up an accurate forward model that the main part of it is the SCIATRAN radiative transfer model which is modified according to the radiation transmission theory. We also construct the tomographic retrieval algorithm that the core is a look up table method. A tomographic observed database is built up through the atmospheric model, the spatial information (position of the target area and satellite position), the date parameters, the observation geometries, OH concentrations and simulated observation data. The OH concentrations can be found directly from it. If there are no corresponding query conditions in the tomographic observed database, the cubic spline interpolation is used to obtain the OH concentrations. The tomographic retrieval algorithm can obtain the more accurate OH concentrations even in the lower atmosphere where the OH data is not well and avoids the initial guess values for solving the iteration problems. Our research not only provides a scientific theory support for the construction of DSHS, but also gives a new retrieval algorithm idea for other radicals.

Yuan An et al.

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Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

Yuan An et al.

Yuan An et al.


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Latest update: 23 Sep 2020
Publications Copernicus
Short summary
The hydroxyl radical plays a significant role in the atmospheric chemical and physical reactions. The superiority and feasibility of the new satellite sensor which consists of two spatial heterodyne spectrometers in the orthogonal layout to monitor OH in the middle and upper atmosphere is proved by the forward model. An inversion algorithm to obtain the OH concentration based on the simulated observation data of sensor and the errors of results are also given.
The hydroxyl radical plays a significant role in the atmospheric chemical and physical...