Ground-based remote sensing of nitrous oxide (N2O) over Hefei, eastern China from high-resolution solar spectra
We for the first time demonstrate ground-based remote sensing of Nitrous Oxide (N2O) over Hefei in eastern China from high resolution Fourier Transform Infra-Red (FTIR) solar spectra. We have retrieved Column-averaged Abundance of N2O ([Formula: see text]) from both Near-Infrared (NIR, 4000 to 11,00...
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Taylor & Francis Group
2024-11-01
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| Series: | Geo-spatial Information Science |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/10095020.2023.2208616 |
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| author | Youwen Sun Hao Yin Wei Wang Changgong Shan Cheng Liu |
| author_facet | Youwen Sun Hao Yin Wei Wang Changgong Shan Cheng Liu |
| author_sort | Youwen Sun |
| collection | DOAJ |
| description | We for the first time demonstrate ground-based remote sensing of Nitrous Oxide (N2O) over Hefei in eastern China from high resolution Fourier Transform Infra-Red (FTIR) solar spectra. We have retrieved Column-averaged Abundance of N2O ([Formula: see text]) from both Near-Infrared (NIR, 4000 to 11,000 cm−1) and Mid-Infrared (MIR, 2400 to 3200 cm−1) solar spectra and inspected their agreement. Generally, NIR and MIR measurements agree well with a correlation coefficient of 0.86 and an average difference of (1.33 ± 4.05) ppbv (NIR – MIR). By correcting the bias of the two datasets, we combine the NIR and MIR measurements to investigate seasonality and inter-annual trend of [Formula: see text] over Hefei. The observed monthly mean time series of [Formula: see text] minimize in June and maximize in September, with values of (316.55 ± 12.22) ppbv and (322.05 ± 12.93) ppbv, respectively. The [Formula: see text] time series from 2015 to 2020 showed an inter-annual trend of (0.53 ± 0.10) %/year over Hefei, China. We also compared the FTIR [Formula: see text] observations with GEOS-Chem model [Formula: see text] simulations. They are in reasonable agreement with a correlation coefficient (R) of 0.71, but GEOS-Chem model underestimated the seasonality of the observations. This study can enhance current knowledge of ground-based high-resolution FTIR remote sensing of N2O in the atmosphere and contribute to generating a new reliable N2O dataset for climate change research. |
| format | Article |
| id | doaj-art-f122dcc6ac3f4b2ba8232b332a632130 |
| institution | Kabale University |
| issn | 1009-5020 1993-5153 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Taylor & Francis Group |
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| series | Geo-spatial Information Science |
| spelling | doaj-art-f122dcc6ac3f4b2ba8232b332a6321302024-12-11T11:57:33ZengTaylor & Francis GroupGeo-spatial Information Science1009-50201993-51532024-11-012761931194210.1080/10095020.2023.2208616Ground-based remote sensing of nitrous oxide (N2O) over Hefei, eastern China from high-resolution solar spectraYouwen Sun0Hao Yin1Wei Wang2Changgong Shan3Cheng Liu4Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei, ChinaAnhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei, ChinaAnhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei, ChinaAnhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei, ChinaAnhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei, ChinaWe for the first time demonstrate ground-based remote sensing of Nitrous Oxide (N2O) over Hefei in eastern China from high resolution Fourier Transform Infra-Red (FTIR) solar spectra. We have retrieved Column-averaged Abundance of N2O ([Formula: see text]) from both Near-Infrared (NIR, 4000 to 11,000 cm−1) and Mid-Infrared (MIR, 2400 to 3200 cm−1) solar spectra and inspected their agreement. Generally, NIR and MIR measurements agree well with a correlation coefficient of 0.86 and an average difference of (1.33 ± 4.05) ppbv (NIR – MIR). By correcting the bias of the two datasets, we combine the NIR and MIR measurements to investigate seasonality and inter-annual trend of [Formula: see text] over Hefei. The observed monthly mean time series of [Formula: see text] minimize in June and maximize in September, with values of (316.55 ± 12.22) ppbv and (322.05 ± 12.93) ppbv, respectively. The [Formula: see text] time series from 2015 to 2020 showed an inter-annual trend of (0.53 ± 0.10) %/year over Hefei, China. We also compared the FTIR [Formula: see text] observations with GEOS-Chem model [Formula: see text] simulations. They are in reasonable agreement with a correlation coefficient (R) of 0.71, but GEOS-Chem model underestimated the seasonality of the observations. This study can enhance current knowledge of ground-based high-resolution FTIR remote sensing of N2O in the atmosphere and contribute to generating a new reliable N2O dataset for climate change research.https://www.tandfonline.com/doi/10.1080/10095020.2023.2208616Greenhouse Gases (GHGs)remote sensinghigh resolutionFourier Transform Infra-Red (FTIR) |
| spellingShingle | Youwen Sun Hao Yin Wei Wang Changgong Shan Cheng Liu Ground-based remote sensing of nitrous oxide (N2O) over Hefei, eastern China from high-resolution solar spectra Geo-spatial Information Science Greenhouse Gases (GHGs) remote sensing high resolution Fourier Transform Infra-Red (FTIR) |
| title | Ground-based remote sensing of nitrous oxide (N2O) over Hefei, eastern China from high-resolution solar spectra |
| title_full | Ground-based remote sensing of nitrous oxide (N2O) over Hefei, eastern China from high-resolution solar spectra |
| title_fullStr | Ground-based remote sensing of nitrous oxide (N2O) over Hefei, eastern China from high-resolution solar spectra |
| title_full_unstemmed | Ground-based remote sensing of nitrous oxide (N2O) over Hefei, eastern China from high-resolution solar spectra |
| title_short | Ground-based remote sensing of nitrous oxide (N2O) over Hefei, eastern China from high-resolution solar spectra |
| title_sort | ground based remote sensing of nitrous oxide n2o over hefei eastern china from high resolution solar spectra |
| topic | Greenhouse Gases (GHGs) remote sensing high resolution Fourier Transform Infra-Red (FTIR) |
| url | https://www.tandfonline.com/doi/10.1080/10095020.2023.2208616 |
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