Ozone profile climatology for remote sensing retrieval algorithms

<p>New ozone (<span class="inline-formula">O<sub>3</sub></span>) profile climatologies are created from the Modern-Era Retrospective Analysis for Research and Applications version 2 (MERRA-2) <span class="inline-formula">O<sub>3</sub&g...

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Main Authors: K. Yang, X. Liu
Format: Article
Language:English
Published: Copernicus Publications 2019-09-01
Series:Atmospheric Measurement Techniques
Online Access:https://www.atmos-meas-tech.net/12/4745/2019/amt-12-4745-2019.pdf
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author K. Yang
X. Liu
author_facet K. Yang
X. Liu
author_sort K. Yang
collection DOAJ
description <p>New ozone (<span class="inline-formula">O<sub>3</sub></span>) profile climatologies are created from the Modern-Era Retrospective Analysis for Research and Applications version 2 (MERRA-2) <span class="inline-formula">O<sub>3</sub></span> record between 2005 and 2016, within the period of Aura Microwave Limb Sounder (MLS) and Aura Ozone Monitoring Instrument (OMI) assimilation. These two climatologies consist of monthly mean <span class="inline-formula">O<sub>3</sub></span> profiles and the corresponding covariances dependent on the local solar time, longitude (15<span class="inline-formula"><sup>∘</sup></span>), and latitude (10<span class="inline-formula"><sup>∘</sup></span>), which are parameterized by tropopause pressure and total <span class="inline-formula">O<sub>3</sub></span> column. They are validated through comparisons, which show good agreements with previous <span class="inline-formula">O<sub>3</sub></span> profile climatologies. Compared to a monthly zonal mean climatology, both tropopause- and column-dependent climatologies provide improved a priori information for profile and total <span class="inline-formula">O<sub>3</sub></span> retrievals from remote sensing measurements. Furthermore, parameterization of the <span class="inline-formula">O<sub>3</sub></span> profile with total column <span class="inline-formula">O<sub>3</sub></span> usually reduces the natural variability of the resulting climatological profile in the upper stratosphere further than the tropopause parameterization, which usually performs better in the upper troposphere and lower stratosphere (UTLS). Therefore tropopause-dependent climatology is more appropriate for profile <span class="inline-formula">O<sub>3</sub></span> retrieval for complementing the vertical resolution of backscattered ultraviolet (UV) spectra, while the column-dependent climatology is more suited for use in total <span class="inline-formula">O<sub>3</sub></span> retrieval algorithms, with an advantage of complete profile specification without requiring ancillary information. Compared to previous column-dependent climatologies, the new MERRA-2 column-dependent climatology better captures the diurnal, seasonal, and spatial variations and dynamical changes in <span class="inline-formula">O<sub>3</sub></span> profiles with higher resolutions in <span class="inline-formula">O<sub>3</sub></span>, latitude, longitude, and season. The new MERRA-2 climatologies contain the first quantitative characterization of <span class="inline-formula">O<sub>3</sub></span> profile covariances, which facilitate a new approach to improve <span class="inline-formula">O<sub>3</sub></span> profiles using the most probable patterns of profile adjustments represented by the empirical orthogonal functions (EOFs) of the covariance matrices. The MERRA-2 daytime column-dependent climatology is used in the combo <span class="inline-formula">O<sub>3</sub></span> and <span class="inline-formula">SO<sub>2</sub></span> algorithm for retrieval from the Earth Polychromatic Imaging Camera (EPIC) on board the Deep Space Climate Observatory (DSCOVR) satellite, the Ozone Mapping and Profiler Suite Nadir Mapper (OMPS-NM) on the Suomi National Polar Partnership (SNPP), and the Ozone Monitoring Instrument (OMI) on the Aura spacecraft.</p>
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spelling doaj.art-e0adf7503da84fd9b25a35a5719983d12022-12-21T18:44:01ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482019-09-01124745477810.5194/amt-12-4745-2019Ozone profile climatology for remote sensing retrieval algorithmsK. Yang0X. Liu1Department of Atmospheric and Oceanic Sciences, University Maryland, College Park, MD 20742, USAHarvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA<p>New ozone (<span class="inline-formula">O<sub>3</sub></span>) profile climatologies are created from the Modern-Era Retrospective Analysis for Research and Applications version 2 (MERRA-2) <span class="inline-formula">O<sub>3</sub></span> record between 2005 and 2016, within the period of Aura Microwave Limb Sounder (MLS) and Aura Ozone Monitoring Instrument (OMI) assimilation. These two climatologies consist of monthly mean <span class="inline-formula">O<sub>3</sub></span> profiles and the corresponding covariances dependent on the local solar time, longitude (15<span class="inline-formula"><sup>∘</sup></span>), and latitude (10<span class="inline-formula"><sup>∘</sup></span>), which are parameterized by tropopause pressure and total <span class="inline-formula">O<sub>3</sub></span> column. They are validated through comparisons, which show good agreements with previous <span class="inline-formula">O<sub>3</sub></span> profile climatologies. Compared to a monthly zonal mean climatology, both tropopause- and column-dependent climatologies provide improved a priori information for profile and total <span class="inline-formula">O<sub>3</sub></span> retrievals from remote sensing measurements. Furthermore, parameterization of the <span class="inline-formula">O<sub>3</sub></span> profile with total column <span class="inline-formula">O<sub>3</sub></span> usually reduces the natural variability of the resulting climatological profile in the upper stratosphere further than the tropopause parameterization, which usually performs better in the upper troposphere and lower stratosphere (UTLS). Therefore tropopause-dependent climatology is more appropriate for profile <span class="inline-formula">O<sub>3</sub></span> retrieval for complementing the vertical resolution of backscattered ultraviolet (UV) spectra, while the column-dependent climatology is more suited for use in total <span class="inline-formula">O<sub>3</sub></span> retrieval algorithms, with an advantage of complete profile specification without requiring ancillary information. Compared to previous column-dependent climatologies, the new MERRA-2 column-dependent climatology better captures the diurnal, seasonal, and spatial variations and dynamical changes in <span class="inline-formula">O<sub>3</sub></span> profiles with higher resolutions in <span class="inline-formula">O<sub>3</sub></span>, latitude, longitude, and season. The new MERRA-2 climatologies contain the first quantitative characterization of <span class="inline-formula">O<sub>3</sub></span> profile covariances, which facilitate a new approach to improve <span class="inline-formula">O<sub>3</sub></span> profiles using the most probable patterns of profile adjustments represented by the empirical orthogonal functions (EOFs) of the covariance matrices. The MERRA-2 daytime column-dependent climatology is used in the combo <span class="inline-formula">O<sub>3</sub></span> and <span class="inline-formula">SO<sub>2</sub></span> algorithm for retrieval from the Earth Polychromatic Imaging Camera (EPIC) on board the Deep Space Climate Observatory (DSCOVR) satellite, the Ozone Mapping and Profiler Suite Nadir Mapper (OMPS-NM) on the Suomi National Polar Partnership (SNPP), and the Ozone Monitoring Instrument (OMI) on the Aura spacecraft.</p>https://www.atmos-meas-tech.net/12/4745/2019/amt-12-4745-2019.pdf
spellingShingle K. Yang
X. Liu
Ozone profile climatology for remote sensing retrieval algorithms
Atmospheric Measurement Techniques
title Ozone profile climatology for remote sensing retrieval algorithms
title_full Ozone profile climatology for remote sensing retrieval algorithms
title_fullStr Ozone profile climatology for remote sensing retrieval algorithms
title_full_unstemmed Ozone profile climatology for remote sensing retrieval algorithms
title_short Ozone profile climatology for remote sensing retrieval algorithms
title_sort ozone profile climatology for remote sensing retrieval algorithms
url https://www.atmos-meas-tech.net/12/4745/2019/amt-12-4745-2019.pdf
work_keys_str_mv AT kyang ozoneprofileclimatologyforremotesensingretrievalalgorithms
AT xliu ozoneprofileclimatologyforremotesensingretrievalalgorithms