Application of an Adaptive Nudging Scheme in Air Quality Forecasting in China.
Title: | Application of an Adaptive Nudging Scheme in Air Quality Forecasting in China. |
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Authors: | Xiangde Xu, Lian Xie, Xinghong Cheng, Jianming Xu, Xiuji Zhou, Guoan Ding |
Source: | Journal of Applied Meteorology & Climatology; Aug2008, Vol. 47 Issue 8, p2105-2114, 10p, 3 Charts, 6 Graphs |
Subject Terms: | GEOPHYSICAL prediction, AIR quality, WEATHER forecasting, FUTUROLOGISTS, AIR pollution, EMISSIONS (Air pollution), PHYSIOLOGICAL effects of sulfur dioxide, NITROGEN dioxide |
Geographic Terms: | CHINA |
Abstract: | A major challenge for air quality forecasters is to reduce the uncertainty of air pollution emission inventory. Error in the emission data is a primary source of error in air quality forecasts, much like the effect of error in the initial conditions on the accuracy of weather forecasting. Data assimilation has been widely used to improve weather forecasting by correcting the initial conditions with weather observations. In a similar way, observed concentrations of air pollutants can be used to correct the errors in the emission data. In this study, a new method is developed for estimating air pollution emissions based on a Newtonian relaxation and nudging technique. Case studies for the period of 1–25 August 2006 in 47 cities in China indicate that the nudging technique resulted in improved estimations of sulfur dioxide (SO |
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Database: | Complementary Index |
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Items | – Name: Title Label: Title Group: Ti Data: Application of an Adaptive Nudging Scheme in Air Quality Forecasting in China. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Xiangde+Xu%22">Xiangde Xu</searchLink><br /><searchLink fieldCode="AR" term="%22Lian+Xie%22">Lian Xie</searchLink><br /><searchLink fieldCode="AR" term="%22Xinghong+Cheng%22">Xinghong Cheng</searchLink><br /><searchLink fieldCode="AR" term="%22Jianming+Xu%22">Jianming Xu</searchLink><br /><searchLink fieldCode="AR" term="%22Xiuji+Zhou%22">Xiuji Zhou</searchLink><br /><searchLink fieldCode="AR" term="%22Guoan+Ding%22">Guoan Ding</searchLink> – Name: TitleSource Label: Source Group: Src Data: Journal of Applied Meteorology & Climatology; Aug2008, Vol. 47 Issue 8, p2105-2114, 10p, 3 Charts, 6 Graphs – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22GEOPHYSICAL+prediction%22">GEOPHYSICAL prediction</searchLink><br /><searchLink fieldCode="DE" term="%22AIR+quality%22">AIR quality</searchLink><br /><searchLink fieldCode="DE" term="%22WEATHER+forecasting%22">WEATHER forecasting</searchLink><br /><searchLink fieldCode="DE" term="%22FUTUROLOGISTS%22">FUTUROLOGISTS</searchLink><br /><searchLink fieldCode="DE" term="%22AIR+pollution%22">AIR pollution</searchLink><br /><searchLink fieldCode="DE" term="%22EMISSIONS+%28Air+pollution%29%22">EMISSIONS (Air pollution)</searchLink><br /><searchLink fieldCode="DE" term="%22PHYSIOLOGICAL+effects+of+sulfur+dioxide%22">PHYSIOLOGICAL effects of sulfur dioxide</searchLink><br /><searchLink fieldCode="DE" term="%22NITROGEN+dioxide%22">NITROGEN dioxide</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22CHINA%22">CHINA</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: A major challenge for air quality forecasters is to reduce the uncertainty of air pollution emission inventory. Error in the emission data is a primary source of error in air quality forecasts, much like the effect of error in the initial conditions on the accuracy of weather forecasting. Data assimilation has been widely used to improve weather forecasting by correcting the initial conditions with weather observations. In a similar way, observed concentrations of air pollutants can be used to correct the errors in the emission data. In this study, a new method is developed for estimating air pollution emissions based on a Newtonian relaxation and nudging technique. Case studies for the period of 1–25 August 2006 in 47 cities in China indicate that the nudging technique resulted in improved estimations of sulfur dioxide (SO<subscript>2</subscript>) and nitrogen dioxide (NO<subscript>2</subscript>) emissions in the majority of these cities. Predictions of SO<subscript>2</subscript> and NO<subscript>2</subscript> concentrations in January, April, August, and October using the emission estimations derived from the nudging technique showed remarkable improvements over those based on the original emission data. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Journal of Applied Meteorology & Climatology is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1175/2008JAMC1737.1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 2105 Subjects: – SubjectFull: CHINA Type: general – SubjectFull: GEOPHYSICAL prediction Type: general – SubjectFull: AIR quality Type: general – SubjectFull: WEATHER forecasting Type: general – SubjectFull: FUTUROLOGISTS Type: general – SubjectFull: AIR pollution Type: general – SubjectFull: EMISSIONS (Air pollution) Type: general – SubjectFull: PHYSIOLOGICAL effects of sulfur dioxide Type: general – SubjectFull: NITROGEN dioxide Type: general Titles: – TitleFull: Application of an Adaptive Nudging Scheme in Air Quality Forecasting in China. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Xiangde Xu – PersonEntity: Name: NameFull: Lian Xie – PersonEntity: Name: NameFull: Xinghong Cheng – PersonEntity: Name: NameFull: Jianming Xu – PersonEntity: Name: NameFull: Xiuji Zhou – PersonEntity: Name: NameFull: Guoan Ding IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2008 Type: published Y: 2008 Identifiers: – Type: issn-print Value: 15588424 Numbering: – Type: volume Value: 47 – Type: issue Value: 8 Titles: – TitleFull: Journal of Applied Meteorology & Climatology Type: main |
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