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Important evidence of constant low CO(2) windows and impacts on the non-closure of the greenhouse effect

The CO(2) distribution in the atmosphere remains unclear for the complexity of the long-range vertical transport process and other influencing factors. In this work, regression analysis was used to verify the accuracy of CO(2) concentrations datasets. Geostatistical analyses were used to investigate...

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Autores principales: Zhao, Jing, Li, Guoqing, Cui, Weihong, Cao, Qianqian, Zhang, Haoping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430819/
https://www.ncbi.nlm.nih.gov/pubmed/30903004
http://dx.doi.org/10.1038/s41598-019-41562-x
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author Zhao, Jing
Li, Guoqing
Cui, Weihong
Cao, Qianqian
Zhang, Haoping
author_facet Zhao, Jing
Li, Guoqing
Cui, Weihong
Cao, Qianqian
Zhang, Haoping
author_sort Zhao, Jing
collection PubMed
description The CO(2) distribution in the atmosphere remains unclear for the complexity of the long-range vertical transport process and other influencing factors. In this work, regression analysis was used to verify the accuracy of CO(2) concentrations datasets. Geostatistical analyses were used to investigate the spatiotemporal distributions of CO(2) at 7 levels from near the surface to the mid-troposphere (0~5 km). Spatial correlation and time series analyses were used to further determine the diffusion characteristics of the CO(2) concentration based on the horizontal wind (NCEP R2), which is one of the main driving factors. The results showed that the horizontal, not vertical, diffusion of CO(2) becomes increasingly more prominent with the decrease in atmospheric pressure to the mid-troposphere, whereas many regions, such as the Rocky Mountains and Qinghai-Tibet Plateau, have constant low values throughout the year due to the influence of high topography (up to 10.756 ppmv lower than that near the surface). These areas form low CO(2) concentration ‘windows’ keeping letting thermal infrared energy out into space. This study is the first to question the existing view of the closure of the ‘greenhouse effect’. Future research studies should more precisely determine the closure threshold and the uncertainties about the surface fluxes.
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spelling pubmed-64308192019-03-29 Important evidence of constant low CO(2) windows and impacts on the non-closure of the greenhouse effect Zhao, Jing Li, Guoqing Cui, Weihong Cao, Qianqian Zhang, Haoping Sci Rep Article The CO(2) distribution in the atmosphere remains unclear for the complexity of the long-range vertical transport process and other influencing factors. In this work, regression analysis was used to verify the accuracy of CO(2) concentrations datasets. Geostatistical analyses were used to investigate the spatiotemporal distributions of CO(2) at 7 levels from near the surface to the mid-troposphere (0~5 km). Spatial correlation and time series analyses were used to further determine the diffusion characteristics of the CO(2) concentration based on the horizontal wind (NCEP R2), which is one of the main driving factors. The results showed that the horizontal, not vertical, diffusion of CO(2) becomes increasingly more prominent with the decrease in atmospheric pressure to the mid-troposphere, whereas many regions, such as the Rocky Mountains and Qinghai-Tibet Plateau, have constant low values throughout the year due to the influence of high topography (up to 10.756 ppmv lower than that near the surface). These areas form low CO(2) concentration ‘windows’ keeping letting thermal infrared energy out into space. This study is the first to question the existing view of the closure of the ‘greenhouse effect’. Future research studies should more precisely determine the closure threshold and the uncertainties about the surface fluxes. Nature Publishing Group UK 2019-03-22 /pmc/articles/PMC6430819/ /pubmed/30903004 http://dx.doi.org/10.1038/s41598-019-41562-x Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zhao, Jing
Li, Guoqing
Cui, Weihong
Cao, Qianqian
Zhang, Haoping
Important evidence of constant low CO(2) windows and impacts on the non-closure of the greenhouse effect
title Important evidence of constant low CO(2) windows and impacts on the non-closure of the greenhouse effect
title_full Important evidence of constant low CO(2) windows and impacts on the non-closure of the greenhouse effect
title_fullStr Important evidence of constant low CO(2) windows and impacts on the non-closure of the greenhouse effect
title_full_unstemmed Important evidence of constant low CO(2) windows and impacts on the non-closure of the greenhouse effect
title_short Important evidence of constant low CO(2) windows and impacts on the non-closure of the greenhouse effect
title_sort important evidence of constant low co(2) windows and impacts on the non-closure of the greenhouse effect
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430819/
https://www.ncbi.nlm.nih.gov/pubmed/30903004
http://dx.doi.org/10.1038/s41598-019-41562-x
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