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Detection and Attribution of Atmospheric Precipitable Water Changes since the 1970s over China
Atmospheric water vapor increases as air temperature rises, which causes further warming. Thus, understanding the underlying causes of atmospheric water vapor change is vital in climate change research. Here, we conducted detection and attribution analyses of atmospheric precipitable water (PW) chan...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6879575/ https://www.ncbi.nlm.nih.gov/pubmed/31772341 http://dx.doi.org/10.1038/s41598-019-54185-z |
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author | Zhang, Jingpeng Zhao, Tianbao Dai, Aiguo Zhang, Wenyu |
author_facet | Zhang, Jingpeng Zhao, Tianbao Dai, Aiguo Zhang, Wenyu |
author_sort | Zhang, Jingpeng |
collection | PubMed |
description | Atmospheric water vapor increases as air temperature rises, which causes further warming. Thus, understanding the underlying causes of atmospheric water vapor change is vital in climate change research. Here, we conducted detection and attribution analyses of atmospheric precipitable water (PW) changes from 1973–2012 over China using an optimal fingerprinting method by comparing the homogenized radiosonde humidity data with CMIP5 model simulations. Results show that the increase in water vapor can be largely attributed to human activities. The effect of anthropogenic forcing (ANT) can be robustly detected and separated from the response to the natural external forcing (NAT) in the two-signal analysis. The moistening attributable to the ANT forcing explains most of the observed PW increase, while the NAT forcing leads to small moistening. GHGs are the primary moistening contributor responsible for the anthropogenic climate change, and the effect of GHGs can be also clearly detected and successfully attributed to the observed PW increases in a three-signal analysis. The scaling factor is used to adjust the CMIP5 model-projected PW changes over China and the observation-constrained future projections suggest that atmospheric water vapor may increase faster (slower) than that revealed by the raw simulations over whole (eastern) China. |
format | Online Article Text |
id | pubmed-6879575 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68795752019-12-05 Detection and Attribution of Atmospheric Precipitable Water Changes since the 1970s over China Zhang, Jingpeng Zhao, Tianbao Dai, Aiguo Zhang, Wenyu Sci Rep Article Atmospheric water vapor increases as air temperature rises, which causes further warming. Thus, understanding the underlying causes of atmospheric water vapor change is vital in climate change research. Here, we conducted detection and attribution analyses of atmospheric precipitable water (PW) changes from 1973–2012 over China using an optimal fingerprinting method by comparing the homogenized radiosonde humidity data with CMIP5 model simulations. Results show that the increase in water vapor can be largely attributed to human activities. The effect of anthropogenic forcing (ANT) can be robustly detected and separated from the response to the natural external forcing (NAT) in the two-signal analysis. The moistening attributable to the ANT forcing explains most of the observed PW increase, while the NAT forcing leads to small moistening. GHGs are the primary moistening contributor responsible for the anthropogenic climate change, and the effect of GHGs can be also clearly detected and successfully attributed to the observed PW increases in a three-signal analysis. The scaling factor is used to adjust the CMIP5 model-projected PW changes over China and the observation-constrained future projections suggest that atmospheric water vapor may increase faster (slower) than that revealed by the raw simulations over whole (eastern) China. Nature Publishing Group UK 2019-11-26 /pmc/articles/PMC6879575/ /pubmed/31772341 http://dx.doi.org/10.1038/s41598-019-54185-z 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 Zhang, Jingpeng Zhao, Tianbao Dai, Aiguo Zhang, Wenyu Detection and Attribution of Atmospheric Precipitable Water Changes since the 1970s over China |
title | Detection and Attribution of Atmospheric Precipitable Water Changes since the 1970s over China |
title_full | Detection and Attribution of Atmospheric Precipitable Water Changes since the 1970s over China |
title_fullStr | Detection and Attribution of Atmospheric Precipitable Water Changes since the 1970s over China |
title_full_unstemmed | Detection and Attribution of Atmospheric Precipitable Water Changes since the 1970s over China |
title_short | Detection and Attribution of Atmospheric Precipitable Water Changes since the 1970s over China |
title_sort | detection and attribution of atmospheric precipitable water changes since the 1970s over china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6879575/ https://www.ncbi.nlm.nih.gov/pubmed/31772341 http://dx.doi.org/10.1038/s41598-019-54185-z |
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