Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China
Water vapor vertical profiles are important in numerical weather prediction, moisture transport, and vertical flux calculation. This study presents the Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) retrieval algorithm for water vapor vertical profiles and the retrieved results a...
| Główni autorzy: | , , , , , , , , , , |
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| Format: | Artykuł |
| Język: | English |
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MDPI AG
2020-09-01
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| Seria: | Remote Sensing |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/2072-4292/12/19/3193 |
| _version_ | 1827705099556749312 |
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| author | Hua Lin Cheng Liu Chengzhi Xing Qihou Hu Qianqian Hong Haoran Liu Qihua Li Wei Tan Xiangguang Ji Zhuang Wang Jianguo Liu |
| author_facet | Hua Lin Cheng Liu Chengzhi Xing Qihou Hu Qianqian Hong Haoran Liu Qihua Li Wei Tan Xiangguang Ji Zhuang Wang Jianguo Liu |
| author_sort | Hua Lin |
| collection | DOAJ |
| description | Water vapor vertical profiles are important in numerical weather prediction, moisture transport, and vertical flux calculation. This study presents the Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) retrieval algorithm for water vapor vertical profiles and the retrieved results are validated with corresponding independent datasets under clear sky. The retrieved Vertical Column Densities (VCDs) and surface concentrations are validated with the Aerosol Robotic Network (AERONET) and National Climatic Data Centre (NCDC) datasets, achieving good correlation coefficients (R) of 0.922 and 0.876, respectively. The retrieved vertical profiles agree well with weekly balloon-borne radiosonde measurements. Furthermore, the retrieved water vapor concentrations at different altitudes (100–2000 m) are validated with the corresponding European Centre for Medium-range Weather Forecasts (ECMWF) ERA-interim datasets, achieving a correlation coefficient (R) varying from 0.695 to 0.857. The total error budgets for the surface concentrations and VCDs are 31% and 38%, respectively. Finally, the retrieval performance of the MAX-DOAS algorithm under different aerosol loads is evaluated. High aerosol loads obstruct the retrieval of surface concentrations and VCDs, with surface concentrations more liable to severe interference from such aerosol loads. To summarize, the feasibility of detecting water vapor profiles using MAX-DOAS under clear sky is confirmed in this work. |
| first_indexed | 2024-03-10T15:56:31Z |
| format | Article |
| id | doaj.art-0da8f74be9004383a47684d923f0f375 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T15:56:31Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-0da8f74be9004383a47684d923f0f3752023-11-20T15:34:42ZengMDPI AGRemote Sensing2072-42922020-09-011219319310.3390/rs12193193Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, ChinaHua Lin0Cheng Liu1Chengzhi Xing2Qihou Hu3Qianqian Hong4Haoran Liu5Qihua Li6Wei Tan7Xiangguang Ji8Zhuang Wang9Jianguo Liu10School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, ChinaKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaSchool of Environment and Civil Engineering, Jiangnan University, Wuxi 214122, ChinaInstitute of Physical Science and Information Technology, Anhui University, Hefei 230601, ChinaInstitute of Physical Science and Information Technology, Anhui University, Hefei 230601, ChinaKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaSchool of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, ChinaKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaSchool of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, ChinaWater vapor vertical profiles are important in numerical weather prediction, moisture transport, and vertical flux calculation. This study presents the Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) retrieval algorithm for water vapor vertical profiles and the retrieved results are validated with corresponding independent datasets under clear sky. The retrieved Vertical Column Densities (VCDs) and surface concentrations are validated with the Aerosol Robotic Network (AERONET) and National Climatic Data Centre (NCDC) datasets, achieving good correlation coefficients (R) of 0.922 and 0.876, respectively. The retrieved vertical profiles agree well with weekly balloon-borne radiosonde measurements. Furthermore, the retrieved water vapor concentrations at different altitudes (100–2000 m) are validated with the corresponding European Centre for Medium-range Weather Forecasts (ECMWF) ERA-interim datasets, achieving a correlation coefficient (R) varying from 0.695 to 0.857. The total error budgets for the surface concentrations and VCDs are 31% and 38%, respectively. Finally, the retrieval performance of the MAX-DOAS algorithm under different aerosol loads is evaluated. High aerosol loads obstruct the retrieval of surface concentrations and VCDs, with surface concentrations more liable to severe interference from such aerosol loads. To summarize, the feasibility of detecting water vapor profiles using MAX-DOAS under clear sky is confirmed in this work.https://www.mdpi.com/2072-4292/12/19/3193MAX-DOASwater vaporvertical profilesHEIPRO |
| spellingShingle | Hua Lin Cheng Liu Chengzhi Xing Qihou Hu Qianqian Hong Haoran Liu Qihua Li Wei Tan Xiangguang Ji Zhuang Wang Jianguo Liu Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China Remote Sensing MAX-DOAS water vapor vertical profiles HEIPRO |
| title | Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China |
| title_full | Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China |
| title_fullStr | Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China |
| title_full_unstemmed | Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China |
| title_short | Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China |
| title_sort | validation of water vapor vertical distributions retrieved from max doas over beijing china |
| topic | MAX-DOAS water vapor vertical profiles HEIPRO |
| url | https://www.mdpi.com/2072-4292/12/19/3193 |
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