Spatiotemporal variation of aerosol and potential long-range transport impact over the Tibetan Plateau, China
<p>The long-term temporal–spatial variations in the aerosol optical properties over the Tibetan Plateau (TP) and the potential long-range transport from surrounding areas to the TP were analyzed in this work, by using multiple years of sun photometer measurements (CE318) at five stations in th...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2019-12-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://www.atmos-chem-phys.net/19/14637/2019/acp-19-14637-2019.pdf |
| _version_ | 1818509258734436352 |
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| author | J. Zhu J. Zhu J. Zhu X. Xia X. Xia H. Che J. Wang Z. Cong T. Zhao S. Kang S. Kang X. Zhang X. Yu Y. Zhang |
| author_facet | J. Zhu J. Zhu J. Zhu X. Xia X. Xia H. Che J. Wang Z. Cong T. Zhao S. Kang S. Kang X. Zhang X. Yu Y. Zhang |
| author_sort | J. Zhu |
| collection | DOAJ |
| description | <p>The long-term temporal–spatial variations in the aerosol optical properties
over the Tibetan Plateau (TP) and the potential long-range transport from
surrounding areas to the TP were analyzed in this work, by using multiple years
of sun photometer measurements (CE318) at five stations in the TP, satellite
aerosol products from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), back-trajectory analysis from the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) and model simulations from the Goddard Earth Observing System (GEOS)-Chem chemistry transport model. The results from the ground-based observations showed that the annual aerosol optical depth (AOD) at 440 nm at most TP sites increased in recent decades with trends of <span class="inline-formula">0.001±0.003</span> yr<span class="inline-formula"><sup>−1</sup></span> at Lhasa, <span class="inline-formula">0.013±0.003</span> yr<span class="inline-formula"><sup>−1</sup></span> at Mt_WLG, <span class="inline-formula">0.002±0.002</span> yr<span class="inline-formula"><sup>−1</sup></span> at NAM_CO and <span class="inline-formula">0.000±0.002</span> yr<span class="inline-formula"><sup>−1</sup></span> at QOMS_CAS. The increasing trend was also found for the aerosol extinction Ångström exponent (EAE) at most sites with the exception of the Mt_WLG site. Spatially, the AOD at 550 nm observed from MODIS showed negative trends at the northwest
edge close to the Taklimakan Desert and to the east of the Qaidam Basin and
slightly positive trends in most of the other areas of the TP. Different
aerosol types and sources contributed to a polluted day (with CE318 AOD at
440 nm <span class="inline-formula">></span> 0.4) at the five sites on the TP: dust was the dominant
aerosol type in Lhasa, Mt_WLG and Muztagh with sources in the Taklimakan Desert, but fine-aerosol pollution was dominant at NAM_CO and QOMS_CAS with transport from South Asia. A case of aerosol pollution at Lhasa, NAM_CO and QOMS_CAS during 28 April–3 May 2016 revealed that the
smoke aerosols from South Asia were lifted up to 10 km and transported to
the TP, while the dust from the Taklimakan Desert could climb the north
slope of the TP and then be transported to the central TP. The long-range
transport of<span id="page14638"/> aerosol thereby seriously impacted the aerosol loading over the TP.</p> |
| first_indexed | 2024-12-10T22:43:10Z |
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| id | doaj.art-283b716c51974b529e9fc4d06c25357d |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-12-10T22:43:10Z |
| publishDate | 2019-12-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-283b716c51974b529e9fc4d06c25357d2022-12-22T01:30:39ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242019-12-0119146371465610.5194/acp-19-14637-2019Spatiotemporal variation of aerosol and potential long-range transport impact over the Tibetan Plateau, ChinaJ. Zhu0J. Zhu1J. Zhu2X. Xia3X. Xia4H. Che5J. Wang6Z. Cong7T. Zhao8S. Kang9S. Kang10X. Zhang11X. Yu12Y. Zhang13Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, ChinaLAGEO, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, ChinaState Key Laboratory of Severe Weather (LASW) and Key Laboratory of Atmospheric Chemistry (LAC), Chinese Academy of Meteorological Sciences, CMA, Beijing, 100081, ChinaLAGEO, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, ChinaUniversity of Chinese Academy of Sciences, Beijing, 100049, ChinaState Key Laboratory of Severe Weather (LASW) and Key Laboratory of Atmospheric Chemistry (LAC), Chinese Academy of Meteorological Sciences, CMA, Beijing, 100081, ChinaCenter of Global and Regional Environmental Research and Department of Chemical and Biochemical Engineering, University of Iowa, Iowa City, Iowa, USAKey Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, ChinaCollaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, ChinaState Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, ChinaCAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, ChinaCollaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, ChinaCollaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, China<p>The long-term temporal–spatial variations in the aerosol optical properties over the Tibetan Plateau (TP) and the potential long-range transport from surrounding areas to the TP were analyzed in this work, by using multiple years of sun photometer measurements (CE318) at five stations in the TP, satellite aerosol products from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), back-trajectory analysis from the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) and model simulations from the Goddard Earth Observing System (GEOS)-Chem chemistry transport model. The results from the ground-based observations showed that the annual aerosol optical depth (AOD) at 440 nm at most TP sites increased in recent decades with trends of <span class="inline-formula">0.001±0.003</span> yr<span class="inline-formula"><sup>−1</sup></span> at Lhasa, <span class="inline-formula">0.013±0.003</span> yr<span class="inline-formula"><sup>−1</sup></span> at Mt_WLG, <span class="inline-formula">0.002±0.002</span> yr<span class="inline-formula"><sup>−1</sup></span> at NAM_CO and <span class="inline-formula">0.000±0.002</span> yr<span class="inline-formula"><sup>−1</sup></span> at QOMS_CAS. The increasing trend was also found for the aerosol extinction Ångström exponent (EAE) at most sites with the exception of the Mt_WLG site. Spatially, the AOD at 550 nm observed from MODIS showed negative trends at the northwest edge close to the Taklimakan Desert and to the east of the Qaidam Basin and slightly positive trends in most of the other areas of the TP. Different aerosol types and sources contributed to a polluted day (with CE318 AOD at 440 nm <span class="inline-formula">></span> 0.4) at the five sites on the TP: dust was the dominant aerosol type in Lhasa, Mt_WLG and Muztagh with sources in the Taklimakan Desert, but fine-aerosol pollution was dominant at NAM_CO and QOMS_CAS with transport from South Asia. A case of aerosol pollution at Lhasa, NAM_CO and QOMS_CAS during 28 April–3 May 2016 revealed that the smoke aerosols from South Asia were lifted up to 10 km and transported to the TP, while the dust from the Taklimakan Desert could climb the north slope of the TP and then be transported to the central TP. The long-range transport of<span id="page14638"/> aerosol thereby seriously impacted the aerosol loading over the TP.</p>https://www.atmos-chem-phys.net/19/14637/2019/acp-19-14637-2019.pdf |
| spellingShingle | J. Zhu J. Zhu J. Zhu X. Xia X. Xia H. Che J. Wang Z. Cong T. Zhao S. Kang S. Kang X. Zhang X. Yu Y. Zhang Spatiotemporal variation of aerosol and potential long-range transport impact over the Tibetan Plateau, China Atmospheric Chemistry and Physics |
| title | Spatiotemporal variation of aerosol and potential long-range transport impact over the Tibetan Plateau, China |
| title_full | Spatiotemporal variation of aerosol and potential long-range transport impact over the Tibetan Plateau, China |
| title_fullStr | Spatiotemporal variation of aerosol and potential long-range transport impact over the Tibetan Plateau, China |
| title_full_unstemmed | Spatiotemporal variation of aerosol and potential long-range transport impact over the Tibetan Plateau, China |
| title_short | Spatiotemporal variation of aerosol and potential long-range transport impact over the Tibetan Plateau, China |
| title_sort | spatiotemporal variation of aerosol and potential long range transport impact over the tibetan plateau china |
| url | https://www.atmos-chem-phys.net/19/14637/2019/acp-19-14637-2019.pdf |
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