The potential for geostationary remote sensing of NO<sub>2</sub> to improve weather prediction

<p>Observations of winds in the planetary boundary layer remain sparse making it challenging to simulate and predict atmospheric conditions that are most important for describing and predicting urban air quality. Short-lived chemicals are observed as plumes whose location is affected by bounda...

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Main Authors:	X. Liu, A. P. Mizzi, J. L. Anderson, I. Fung, R. C. Cohen
Format:	Article
Language:	English
Published:	Copernicus Publications 2021-06-01
Series:	Atmospheric Chemistry and Physics
Online Access:	https://acp.copernicus.org/articles/21/9573/2021/acp-21-9573-2021.pdf

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spelling	doaj-15ec7107e6b6409b830c876e8c87991e2021-06-24T13:29:20ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242021-06-01219573958310.5194/acp-21-9573-2021The potential for geostationary remote sensing of NO<sub>2</sub> to improve weather predictionX. Liu0A. P. Mizzi1A. P. Mizzi2A. P. Mizzi3J. L. Anderson4I. Fung5R. C. Cohen6R. C. Cohen7Department of Earth and Planetary Science, University of California at Berkeley, Berkeley, CA, USAAtmospheric Chemistry Observation and Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USAvisiting scientist at: National Center for Atmospheric Research, Atmospheric Chemistry Observation and Modeling Laboratory, Boulder, CO, USAnow at: NASA Ames Research Center, Moffett Field, CA 94035, USAInstitute for Mathematics Applied to Geosciences, National Center for Atmospheric Research, Boulder, CO, USADepartment of Earth and Planetary Science, University of California at Berkeley, Berkeley, CA, USADepartment of Earth and Planetary Science, University of California at Berkeley, Berkeley, CA, USADepartment of Chemistry, University of California at Berkeley, Berkeley, CA, USA<p>Observations of winds in the planetary boundary layer remain sparse making it challenging to simulate and predict atmospheric conditions that are most important for describing and predicting urban air quality. Short-lived chemicals are observed as plumes whose location is affected by boundary layer winds and whose lifetime is affected by boundary layer height and mixing. Here we investigate the application of data assimilation of NO<span class="inline-formula"><sub>2</sub></span> columns as will be observed from geostationary orbit to improve predictions and retrospective analysis of wind fields in the boundary layer.</p>https://acp.copernicus.org/articles/21/9573/2021/acp-21-9573-2021.pdf
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	X. Liu A. P. Mizzi A. P. Mizzi A. P. Mizzi J. L. Anderson I. Fung R. C. Cohen R. C. Cohen
spellingShingle	X. Liu A. P. Mizzi A. P. Mizzi A. P. Mizzi J. L. Anderson I. Fung R. C. Cohen R. C. Cohen The potential for geostationary remote sensing of NO<sub>2</sub> to improve weather prediction Atmospheric Chemistry and Physics
author_facet	X. Liu A. P. Mizzi A. P. Mizzi A. P. Mizzi J. L. Anderson I. Fung R. C. Cohen R. C. Cohen
author_sort	X. Liu
title	The potential for geostationary remote sensing of NO<sub>2</sub> to improve weather prediction
title_short	The potential for geostationary remote sensing of NO<sub>2</sub> to improve weather prediction
title_full	The potential for geostationary remote sensing of NO<sub>2</sub> to improve weather prediction
title_fullStr	The potential for geostationary remote sensing of NO<sub>2</sub> to improve weather prediction
title_full_unstemmed	The potential for geostationary remote sensing of NO<sub>2</sub> to improve weather prediction
title_sort	potential for geostationary remote sensing of no<sub>2</sub> to improve weather prediction
publisher	Copernicus Publications
series	Atmospheric Chemistry and Physics
issn	1680-7316 1680-7324
publishDate	2021-06-01
description	<p>Observations of winds in the planetary boundary layer remain sparse making it challenging to simulate and predict atmospheric conditions that are most important for describing and predicting urban air quality. Short-lived chemicals are observed as plumes whose location is affected by boundary layer winds and whose lifetime is affected by boundary layer height and mixing. Here we investigate the application of data assimilation of NO<span class="inline-formula"><sub>2</sub></span> columns as will be observed from geostationary orbit to improve predictions and retrospective analysis of wind fields in the boundary layer.</p>
url	https://acp.copernicus.org/articles/21/9573/2021/acp-21-9573-2021.pdf
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The potential for geostationary remote sensing of NO<sub>2</sub> to improve weather prediction

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