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Direct estimation of the global distribution of vertical velocity within cirrus clouds
Cirrus clouds determine the radiative balance of the upper troposphere and the transport of water vapor across the tropopause. The representation of vertical wind velocity, W, in atmospheric models constitutes the largest source of uncertainty in the calculation of the cirrus formation rate. Using g...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5533806/ https://www.ncbi.nlm.nih.gov/pubmed/28754986 http://dx.doi.org/10.1038/s41598-017-07038-6 |
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author | Barahona, Donifan Molod, Andrea Kalesse, Heike |
author_facet | Barahona, Donifan Molod, Andrea Kalesse, Heike |
author_sort | Barahona, Donifan |
collection | PubMed |
description | Cirrus clouds determine the radiative balance of the upper troposphere and the transport of water vapor across the tropopause. The representation of vertical wind velocity, W, in atmospheric models constitutes the largest source of uncertainty in the calculation of the cirrus formation rate. Using global atmospheric simulations with a spatial resolution of 7 km we obtain for the first time a direct estimate of the distribution of W at the scale relevant for cirrus formation, validated against long-term observations at two different ground sites. The standard deviation in W, σ (w), varies widely over the globe with the highest values resulting from orographic uplift and convection, and the lowest occurring in the Arctic. Globally about 90% of the simulated σ (w) values are below 0.1 m s(−1) and about one in 10(4) cloud formation events occur in environments with σ (w) > 0.8 m s(−1). Combining our estimate with reanalysis products and an advanced cloud formation scheme results in lower homogeneous ice nucleation frequency than previously reported, and a decreasing average ice crystal concentration with decreasing temperature. These features are in agreement with observations and suggest that the correct parameterization of σ (w) is critical to simulate realistic cirrus properties. |
format | Online Article Text |
id | pubmed-5533806 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55338062017-08-03 Direct estimation of the global distribution of vertical velocity within cirrus clouds Barahona, Donifan Molod, Andrea Kalesse, Heike Sci Rep Article Cirrus clouds determine the radiative balance of the upper troposphere and the transport of water vapor across the tropopause. The representation of vertical wind velocity, W, in atmospheric models constitutes the largest source of uncertainty in the calculation of the cirrus formation rate. Using global atmospheric simulations with a spatial resolution of 7 km we obtain for the first time a direct estimate of the distribution of W at the scale relevant for cirrus formation, validated against long-term observations at two different ground sites. The standard deviation in W, σ (w), varies widely over the globe with the highest values resulting from orographic uplift and convection, and the lowest occurring in the Arctic. Globally about 90% of the simulated σ (w) values are below 0.1 m s(−1) and about one in 10(4) cloud formation events occur in environments with σ (w) > 0.8 m s(−1). Combining our estimate with reanalysis products and an advanced cloud formation scheme results in lower homogeneous ice nucleation frequency than previously reported, and a decreasing average ice crystal concentration with decreasing temperature. These features are in agreement with observations and suggest that the correct parameterization of σ (w) is critical to simulate realistic cirrus properties. Nature Publishing Group UK 2017-07-28 /pmc/articles/PMC5533806/ /pubmed/28754986 http://dx.doi.org/10.1038/s41598-017-07038-6 Text en © The Author(s) 2017 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 Barahona, Donifan Molod, Andrea Kalesse, Heike Direct estimation of the global distribution of vertical velocity within cirrus clouds |
title | Direct estimation of the global distribution of vertical velocity within cirrus clouds |
title_full | Direct estimation of the global distribution of vertical velocity within cirrus clouds |
title_fullStr | Direct estimation of the global distribution of vertical velocity within cirrus clouds |
title_full_unstemmed | Direct estimation of the global distribution of vertical velocity within cirrus clouds |
title_short | Direct estimation of the global distribution of vertical velocity within cirrus clouds |
title_sort | direct estimation of the global distribution of vertical velocity within cirrus clouds |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5533806/ https://www.ncbi.nlm.nih.gov/pubmed/28754986 http://dx.doi.org/10.1038/s41598-017-07038-6 |
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