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...
Published in: | Remote Sensing |
---|---|
Main Authors: | , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
MDPI AG
2020
|
Subjects: | |
Online Access: | https://doi.org/10.3390/rs12193193 https://doaj.org/article/0da8f74be9004383a47684d923f0f375 |
id |
ftdoajarticles:oai:doaj.org/article:0da8f74be9004383a47684d923f0f375 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:0da8f74be9004383a47684d923f0f375 2023-05-15T13:06:15+02:00 Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China Hua Lin Cheng Liu Chengzhi Xing Qihou Hu Qianqian Hong Haoran Liu Qihua Li Wei Tan Xiangguang Ji Zhuang Wang Jianguo Liu 2020-09-01T00:00:00Z https://doi.org/10.3390/rs12193193 https://doaj.org/article/0da8f74be9004383a47684d923f0f375 EN eng MDPI AG https://www.mdpi.com/2072-4292/12/19/3193 https://doaj.org/toc/2072-4292 doi:10.3390/rs12193193 2072-4292 https://doaj.org/article/0da8f74be9004383a47684d923f0f375 Remote Sensing, Vol 12, Iss 3193, p 3193 (2020) MAX-DOAS water vapor vertical profiles HEIPRO Science Q article 2020 ftdoajarticles https://doi.org/10.3390/rs12193193 2022-12-31T10:53:45Z 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. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Remote Sensing 12 19 3193 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
MAX-DOAS water vapor vertical profiles HEIPRO Science Q |
spellingShingle |
MAX-DOAS water vapor vertical profiles HEIPRO Science Q 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 |
topic_facet |
MAX-DOAS water vapor vertical profiles HEIPRO Science Q |
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. |
format |
Article in Journal/Newspaper |
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 |
title |
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_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_sort |
validation of water vapor vertical distributions retrieved from max-doas over beijing, china |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12193193 https://doaj.org/article/0da8f74be9004383a47684d923f0f375 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Remote Sensing, Vol 12, Iss 3193, p 3193 (2020) |
op_relation |
https://www.mdpi.com/2072-4292/12/19/3193 https://doaj.org/toc/2072-4292 doi:10.3390/rs12193193 2072-4292 https://doaj.org/article/0da8f74be9004383a47684d923f0f375 |
op_doi |
https://doi.org/10.3390/rs12193193 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
19 |
container_start_page |
3193 |
_version_ |
1765997677976223744 |