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Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE...
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| Zeitschriftentitel: | Geoscientific Model Development |
|---|---|
| Personen und Körperschaften: | , , , , , , , , , , , , , |
| In: | Geoscientific Model Development, 12, 2019, 11, S. 4603-4625 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Copernicus GmbH
|
| Schlagwörter: |
| author_facet |
Ma, Siqi Zhang, Xuelei Gao, Chao Tong, Daniel Q. Xiu, Aijun Wu, Guangjian Cao, Xinyuan Huang, Ling Zhao, Hongmei Zhang, Shichun Ibarra-Espinosa, Sergio Wang, Xin Li, Xiaolan Dan, Mo Ma, Siqi Zhang, Xuelei Gao, Chao Tong, Daniel Q. Xiu, Aijun Wu, Guangjian Cao, Xinyuan Huang, Ling Zhao, Hongmei Zhang, Shichun Ibarra-Espinosa, Sergio Wang, Xin Li, Xiaolan Dan, Mo |
|---|---|
| author |
Ma, Siqi Zhang, Xuelei Gao, Chao Tong, Daniel Q. Xiu, Aijun Wu, Guangjian Cao, Xinyuan Huang, Ling Zhao, Hongmei Zhang, Shichun Ibarra-Espinosa, Sergio Wang, Xin Li, Xiaolan Dan, Mo |
| spellingShingle |
Ma, Siqi Zhang, Xuelei Gao, Chao Tong, Daniel Q. Xiu, Aijun Wu, Guangjian Cao, Xinyuan Huang, Ling Zhao, Hongmei Zhang, Shichun Ibarra-Espinosa, Sergio Wang, Xin Li, Xiaolan Dan, Mo Geoscientific Model Development Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) Polymers and Plastics General Environmental Science |
| author_sort |
ma, siqi |
| spelling |
Ma, Siqi Zhang, Xuelei Gao, Chao Tong, Daniel Q. Xiu, Aijun Wu, Guangjian Cao, Xinyuan Huang, Ling Zhao, Hongmei Zhang, Shichun Ibarra-Espinosa, Sergio Wang, Xin Li, Xiaolan Dan, Mo 1991-9603 Copernicus GmbH Polymers and Plastics General Environmental Science http://dx.doi.org/10.5194/gmd-12-4603-2019 <jats:p>Abstract. Mineral dust particles play an important role in the Earth system, imposing a variety of effects on air quality, climate, human health, and economy. Accurate forecasts of dust events are highly desirable to provide an early warning and inform the decision-making process. East Asia is one of the largest dust sources in the world. This study applies and evaluates four widely used regional air quality models to simulate dust storms in northeastern China. Three dust schemes in the Weather Research and Forecasting model with Chemistry (WRF-Chem) (version 3.9.1), two schemes in both CHIMERE (version 2017r4) and CMAQ (version 5.2.1), and one scheme in CAMx (version 6.50) were applied to a dust event during 4–6 May 2015 in northeastern China. Most of these models were able to capture this dust event with the exception of CAMx, which has no dust source map covering the study area; hence, another dust source mask map was introduced to replace the default one for the subsequent simulation. Although these models reproduced the spatial pattern of the dust plume, there were large discrepancies between predicted and observed PM10 concentrations in each model. In general, CHIMERE had relatively better performance among all simulations with default configurations. After parameter tuning, WRF-Chem with the Air Force Weather Agency (AFWA) scheme using a seasonal dust source map from Ginoux et al. (2012) showed the best performance, followed by WRF-Chem with the UOC_Shao2004 scheme, CHIMERE, and CMAQ. The performance of CAMx had significantly improved by substituting the default dust map and removing the friction velocity limitation. This study suggested that the dust source maps should be carefully selected on a regional scale or replaced with a new one constructed with local data. Moreover, further study and measurement of sandblasting efficiency of different soil types and locations should be conducted to improve the accuracy of estimated vertical dust fluxes in air quality models. </jats:p> Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) Geoscientific Model Development |
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| title |
Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) |
| title_unstemmed |
Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) |
| title_full |
Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) |
| title_fullStr |
Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) |
| title_full_unstemmed |
Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) |
| title_short |
Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) |
| title_sort |
multimodel simulations of a springtime dust storm over northeastern china: implications of an evaluation of four commonly used air quality models (cmaq v5.2.1, camx v6.50, chimere v2017r4, and wrf-chem v3.9.1) |
| topic |
Polymers and Plastics General Environmental Science |
| url |
http://dx.doi.org/10.5194/gmd-12-4603-2019 |
| publishDate |
2019 |
| physical |
4603-4625 |
| description |
<jats:p>Abstract. Mineral dust particles play an important role in the Earth system,
imposing a variety of effects on air quality, climate, human health, and
economy. Accurate forecasts of dust events are highly desirable to provide
an early warning and inform the decision-making process. East Asia is one of the largest
dust sources in the world. This study applies and evaluates four widely used
regional air quality models to simulate dust storms in northeastern China.
Three dust schemes in the Weather Research and Forecasting model with Chemistry
(WRF-Chem) (version 3.9.1), two schemes in both CHIMERE (version 2017r4) and CMAQ
(version 5.2.1), and one scheme in CAMx (version 6.50) were applied to a
dust event during 4–6 May 2015 in northeastern
China. Most of these models were able to capture this dust event with the exception of
CAMx, which has no dust source map covering the study area; hence, another
dust source mask map was introduced to replace the default one for the
subsequent simulation. Although these models reproduced the spatial pattern
of the dust plume, there were large discrepancies between predicted and
observed PM10 concentrations in each model. In general, CHIMERE had
relatively better performance among all simulations with default
configurations. After parameter tuning, WRF-Chem with the Air Force Weather Agency (AFWA) scheme using
a seasonal dust source map from Ginoux et al. (2012) showed the best
performance, followed by WRF-Chem with the UOC_Shao2004 scheme,
CHIMERE, and CMAQ. The performance of CAMx had significantly improved by
substituting the default dust map and removing the friction velocity
limitation. This study suggested that the dust source maps should be
carefully selected on a regional scale or replaced with a new one constructed
with local data. Moreover, further study and measurement of sandblasting
efficiency of different soil types and locations should be conducted to
improve the accuracy of estimated vertical dust fluxes in air quality models.
</jats:p> |
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| author | Ma, Siqi, Zhang, Xuelei, Gao, Chao, Tong, Daniel Q., Xiu, Aijun, Wu, Guangjian, Cao, Xinyuan, Huang, Ling, Zhao, Hongmei, Zhang, Shichun, Ibarra-Espinosa, Sergio, Wang, Xin, Li, Xiaolan, Dan, Mo |
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| description | <jats:p>Abstract. Mineral dust particles play an important role in the Earth system, imposing a variety of effects on air quality, climate, human health, and economy. Accurate forecasts of dust events are highly desirable to provide an early warning and inform the decision-making process. East Asia is one of the largest dust sources in the world. This study applies and evaluates four widely used regional air quality models to simulate dust storms in northeastern China. Three dust schemes in the Weather Research and Forecasting model with Chemistry (WRF-Chem) (version 3.9.1), two schemes in both CHIMERE (version 2017r4) and CMAQ (version 5.2.1), and one scheme in CAMx (version 6.50) were applied to a dust event during 4–6 May 2015 in northeastern China. Most of these models were able to capture this dust event with the exception of CAMx, which has no dust source map covering the study area; hence, another dust source mask map was introduced to replace the default one for the subsequent simulation. Although these models reproduced the spatial pattern of the dust plume, there were large discrepancies between predicted and observed PM10 concentrations in each model. In general, CHIMERE had relatively better performance among all simulations with default configurations. After parameter tuning, WRF-Chem with the Air Force Weather Agency (AFWA) scheme using a seasonal dust source map from Ginoux et al. (2012) showed the best performance, followed by WRF-Chem with the UOC_Shao2004 scheme, CHIMERE, and CMAQ. The performance of CAMx had significantly improved by substituting the default dust map and removing the friction velocity limitation. This study suggested that the dust source maps should be carefully selected on a regional scale or replaced with a new one constructed with local data. Moreover, further study and measurement of sandblasting efficiency of different soil types and locations should be conducted to improve the accuracy of estimated vertical dust fluxes in air quality models. </jats:p> |
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| spelling | Ma, Siqi Zhang, Xuelei Gao, Chao Tong, Daniel Q. Xiu, Aijun Wu, Guangjian Cao, Xinyuan Huang, Ling Zhao, Hongmei Zhang, Shichun Ibarra-Espinosa, Sergio Wang, Xin Li, Xiaolan Dan, Mo 1991-9603 Copernicus GmbH Polymers and Plastics General Environmental Science http://dx.doi.org/10.5194/gmd-12-4603-2019 <jats:p>Abstract. Mineral dust particles play an important role in the Earth system, imposing a variety of effects on air quality, climate, human health, and economy. Accurate forecasts of dust events are highly desirable to provide an early warning and inform the decision-making process. East Asia is one of the largest dust sources in the world. This study applies and evaluates four widely used regional air quality models to simulate dust storms in northeastern China. Three dust schemes in the Weather Research and Forecasting model with Chemistry (WRF-Chem) (version 3.9.1), two schemes in both CHIMERE (version 2017r4) and CMAQ (version 5.2.1), and one scheme in CAMx (version 6.50) were applied to a dust event during 4–6 May 2015 in northeastern China. Most of these models were able to capture this dust event with the exception of CAMx, which has no dust source map covering the study area; hence, another dust source mask map was introduced to replace the default one for the subsequent simulation. Although these models reproduced the spatial pattern of the dust plume, there were large discrepancies between predicted and observed PM10 concentrations in each model. In general, CHIMERE had relatively better performance among all simulations with default configurations. After parameter tuning, WRF-Chem with the Air Force Weather Agency (AFWA) scheme using a seasonal dust source map from Ginoux et al. (2012) showed the best performance, followed by WRF-Chem with the UOC_Shao2004 scheme, CHIMERE, and CMAQ. The performance of CAMx had significantly improved by substituting the default dust map and removing the friction velocity limitation. This study suggested that the dust source maps should be carefully selected on a regional scale or replaced with a new one constructed with local data. Moreover, further study and measurement of sandblasting efficiency of different soil types and locations should be conducted to improve the accuracy of estimated vertical dust fluxes in air quality models. </jats:p> Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) Geoscientific Model Development |
| spellingShingle | Ma, Siqi, Zhang, Xuelei, Gao, Chao, Tong, Daniel Q., Xiu, Aijun, Wu, Guangjian, Cao, Xinyuan, Huang, Ling, Zhao, Hongmei, Zhang, Shichun, Ibarra-Espinosa, Sergio, Wang, Xin, Li, Xiaolan, Dan, Mo, Geoscientific Model Development, Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1), Polymers and Plastics, General Environmental Science |
| title | Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) |
| title_full | Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) |
| title_fullStr | Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) |
| title_full_unstemmed | Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) |
| title_short | Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) |
| title_sort | multimodel simulations of a springtime dust storm over northeastern china: implications of an evaluation of four commonly used air quality models (cmaq v5.2.1, camx v6.50, chimere v2017r4, and wrf-chem v3.9.1) |
| title_unstemmed | Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) |
| topic | Polymers and Plastics, General Environmental Science |
| url | http://dx.doi.org/10.5194/gmd-12-4603-2019 |