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      Comparison of ozonesonde measurements in the upper troposphere and lower Stratosphere in Northern India with reanalysis and chemistry-climate-model data

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          Abstract

          The variability and trend of ozone (O 3) in the Upper troposphere and Lower Stratosphere (UTLS) over the Asian region needs to be accurately quantified. Ozone in the UTLS radiatively heats this region and cools the upper parts of the stratosphere. This results in an impact on relative humidity, static stability in the UTLS region and tropical tropopause temperature. A major challenge for understanding ozone chemistry in the UTLS is sparse observations and thus the representation of precursor gases in model emission inventories. Here, we evaluate ozonesonde measurements during August 2016 at Nainital, in the Himalayas, against ozone from multiple reanalyses and the ECHAM6-HAMMOZ model. We find that compared to measurements both reanalyses and ECHAM6-HAMMOZ control simulation overestimate ozone mixing ratios in the troposphere (20 ppb) and in the UTLS (55 ppb). We performed sensitivity simulations using the ECHAM6-HAMMOZ model for a 50% reduction in the emission of (1) NOx and (2) VOCs. The model simulations with NO X reduction agree better with the ozonesonde observations in the lower troposphere and in the UTLS. Thus, neither reanalyses nor ECHAM6-HAMMOZ results can reproduce observed O 3 over the South Asian region. For a better representation of O 3 in the ECHAM6-HAMMOZ model, NO X emission should be reduced by 50% in the emission inventory. A larger number of observations of ozone and precursor gases over the South Asian region would improve the assessment of ozone chemistry in models.

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          Most cited references41

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          The ERA5 Global Reanalysis

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            The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)

            The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) is the latest atmospheric reanalysis of the modern satellite era produced by NASA’s Global Modeling and Assimilation Office (GMAO). MERRA-2 assimilates observation types not available to its predecessor, MERRA, and includes updates to the Goddard Earth Observing System (GEOS) model and analysis scheme so as to provide a viable ongoing climate analysis beyond MERRA’s terminus. While addressing known limitations of MERRA, MERRA-2 is also intended to be a development milestone for a future integrated Earth system analysis (IESA) currently under development at GMAO. This paper provides an overview of the MERRA-2 system and various performance metrics. Among the advances in MERRA-2 relevant to IESA are the assimilation of aerosol observations, several improvements to the representation of the stratosphere including ozone, and improved representations of cryospheric processes. Other improvements in the quality of MERRA-2 compared with MERRA include the reduction of some spurious trends and jumps related to changes in the observing system, and reduced biases and imbalances in aspects of the water cycle. Remaining deficiencies are also identified. Production of MERRA-2 began in June 2014 in four processing streams, and converged to a single near-real time stream in mid 2015. MERRA-2 products are accessible online through the NASA Goddard Earth Sciences Data Information Services Center (GES DISC).
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              The aerosol-climate model ECHAM5-HAM

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                Author and article information

                Contributors
                suvarna@tropmet.res.in
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                2 May 2023
                2 May 2023
                2023
                : 13
                : 7133
                Affiliations
                [1 ]GRID grid.417983.0, ISNI 0000 0001 0743 4301, Indian Institute of Tropical Meteorology, , Center for Climate Change Research, ; Pune, India
                [2 ]GRID grid.8385.6, ISNI 0000 0001 2297 375X, Forschungszentrum Jülich GmbH, ; IEK-7, Jülich, Germany
                [3 ]GRID grid.5801.c, ISNI 0000 0001 2156 2780, Institute for Atmospheric and Climate Science (IAC), , Swiss Federal Institute of Technology (ETH), ; Zürich, Switzerland
                [4 ]Deutscher Wetterdienst (DWD) GRUAN Lead Centre, Meteorologisches Observatorium Lindenberg, Tauche, Germany
                [5 ]GRID grid.440527.0, ISNI 0000 0001 1019 6308, Aryabhatta Research Institute of Observational Sciences (ARIES), ; Nainital, India
                Article
                34330
                10.1038/s41598-023-34330-5
                10154380
                37130920
                1fb9a291-fcd2-49d5-8bab-e070aada51e0
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 January 2023
                : 27 April 2023
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                © The Author(s) 2023

                Uncategorized
                environmental sciences,chemistry
                Uncategorized
                environmental sciences, chemistry

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