A quality-assured dataset of nine radiation components observed at the Shangdianzi regional GAW station in China (2013–2022)
<p>The New Baseline Surface Radiation (NBSR) system was established at the Shangdianzi (SDZ) regional Global Atmosphere Watch (GAW) station in 2013 to observe nine broadband radiation components, i.e. the global, direct, diffuse, and upwelling shortwave irradiance (GSWI, DSWI, DifSWI, and UpSW...
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Copernicus Publications
2024-02-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/16/961/2024/essd-16-961-2024.pdf |
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| author | W. Quan W. Quan W. Quan Z. Wang L. Qiao X. Zheng J. Jin Y. Li X. Yin Z. Ma M. Wild |
| author_facet | W. Quan W. Quan W. Quan Z. Wang L. Qiao X. Zheng J. Jin Y. Li X. Yin Z. Ma M. Wild |
| author_sort | W. Quan |
| collection | DOAJ |
| description | <p>The New Baseline Surface Radiation (NBSR) system was established at the Shangdianzi (SDZ) regional Global Atmosphere Watch (GAW) station in 2013 to observe nine broadband radiation components, i.e. the global, direct, diffuse, and upwelling shortwave irradiance (GSWI, DSWI, DifSWI, and UpSWI); the photosynthetically active radiation (PAR); the ultraviolet irradiance (UVAI and UVBI); and the down- and upwelling longwave irradiance (DnLWI and UpLWI). To test the 1 min raw radiometric data, a Hybrid Algorithm for Radiation Data Quality Control (HARDQC) is presented in this study based on well-established methods, together with the solar irradiance dataset and the spectral features of the instrument bands. Subsequently, a NBSR dataset, which consists of radiation data at multiple timescales (i.e. 1 min, hourly, daily, monthly, monthly average hourly, and monthly average daily) over 2013–2022, is established and evaluated. Results show that more than 98.7 % of all radiation components passed the physical possibility test. The percentages of those that passed the extremely rare test are greater than 98.6 % for all radiation components except for the DnLWI (97.1 %). The percentages of those that passed the comparison test are greater than 83.3 % (GSWI), 78.3 % (DSWI), 81.7 % (DifSWI), 93.1 % (UpSWI), 88.9 % (PAR), 95.6 % (UVAI), 96.3 % (UVBI), 99.8 % (DnLWI), and 99.7 % (UpLWI), respectively. Due to data logger faults, removal of the instruments for calibration, and lightning strikes, some apparent data gaps in the upwelling radiation components (January 2015–August 2017) and all radiation components (December 2018; July to September 2021) were detected. Despite the existence of a few imperfections in the NBSR dataset, it is still reliable to apply it in many fields such as the validation of satellite products and numerical models, the investigation of relationships between radiation and atmospheric composition, and the detection of changes in the surface fluxes. The dataset described in this paper is available at <a href="https://doi.org/10.1594/PANGAEA.963330">https://doi.org/10.1594/PANGAEA.963330</a> (Quan et al., 2023b).</p> |
| first_indexed | 2024-03-07T23:18:13Z |
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| language | English |
| last_indexed | 2024-03-07T23:18:13Z |
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| spelling | doaj.art-a4e84a3cd8224507a8a8e70666cecb792024-02-21T09:34:24ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162024-02-011696198310.5194/essd-16-961-2024A quality-assured dataset of nine radiation components observed at the Shangdianzi regional GAW station in China (2013–2022)W. Quan0W. Quan1W. Quan2Z. Wang3L. Qiao4X. Zheng5J. Jin6Y. Li7X. Yin8Z. Ma9M. Wild10Beijing Weather Forecast Centre, Beijing Meteorological Service, Beijing, 100097, ChinaInstitute for Atmospheric and Climate Science, ETH Zürich, 8092 Zürich, SwitzerlandInstitute of Urban Meteorology, China Meteorological Administration, Beijing, 100089, ChinaInstitute of Urban Meteorology, China Meteorological Administration, Beijing, 100089, ChinaBeijing Weather Forecast Centre, Beijing Meteorological Service, Beijing, 100097, ChinaChinese Academy of Meteorological Science, China Meteorological Administration, Beijing, 100081, ChinaMeteorological Observation Centre, China Meteorological Administration, Beijing, 100081, ChinaBeijing Weather Forecast Centre, Beijing Meteorological Service, Beijing, 100097, ChinaBeijing Weather Forecast Centre, Beijing Meteorological Service, Beijing, 100097, ChinaInstitute of Urban Meteorology, China Meteorological Administration, Beijing, 100089, ChinaInstitute for Atmospheric and Climate Science, ETH Zürich, 8092 Zürich, Switzerland<p>The New Baseline Surface Radiation (NBSR) system was established at the Shangdianzi (SDZ) regional Global Atmosphere Watch (GAW) station in 2013 to observe nine broadband radiation components, i.e. the global, direct, diffuse, and upwelling shortwave irradiance (GSWI, DSWI, DifSWI, and UpSWI); the photosynthetically active radiation (PAR); the ultraviolet irradiance (UVAI and UVBI); and the down- and upwelling longwave irradiance (DnLWI and UpLWI). To test the 1 min raw radiometric data, a Hybrid Algorithm for Radiation Data Quality Control (HARDQC) is presented in this study based on well-established methods, together with the solar irradiance dataset and the spectral features of the instrument bands. Subsequently, a NBSR dataset, which consists of radiation data at multiple timescales (i.e. 1 min, hourly, daily, monthly, monthly average hourly, and monthly average daily) over 2013–2022, is established and evaluated. Results show that more than 98.7 % of all radiation components passed the physical possibility test. The percentages of those that passed the extremely rare test are greater than 98.6 % for all radiation components except for the DnLWI (97.1 %). The percentages of those that passed the comparison test are greater than 83.3 % (GSWI), 78.3 % (DSWI), 81.7 % (DifSWI), 93.1 % (UpSWI), 88.9 % (PAR), 95.6 % (UVAI), 96.3 % (UVBI), 99.8 % (DnLWI), and 99.7 % (UpLWI), respectively. Due to data logger faults, removal of the instruments for calibration, and lightning strikes, some apparent data gaps in the upwelling radiation components (January 2015–August 2017) and all radiation components (December 2018; July to September 2021) were detected. Despite the existence of a few imperfections in the NBSR dataset, it is still reliable to apply it in many fields such as the validation of satellite products and numerical models, the investigation of relationships between radiation and atmospheric composition, and the detection of changes in the surface fluxes. The dataset described in this paper is available at <a href="https://doi.org/10.1594/PANGAEA.963330">https://doi.org/10.1594/PANGAEA.963330</a> (Quan et al., 2023b).</p>https://essd.copernicus.org/articles/16/961/2024/essd-16-961-2024.pdf |
| spellingShingle | W. Quan W. Quan W. Quan Z. Wang L. Qiao X. Zheng J. Jin Y. Li X. Yin Z. Ma M. Wild A quality-assured dataset of nine radiation components observed at the Shangdianzi regional GAW station in China (2013–2022) Earth System Science Data |
| title | A quality-assured dataset of nine radiation components observed at the Shangdianzi regional GAW station in China (2013–2022) |
| title_full | A quality-assured dataset of nine radiation components observed at the Shangdianzi regional GAW station in China (2013–2022) |
| title_fullStr | A quality-assured dataset of nine radiation components observed at the Shangdianzi regional GAW station in China (2013–2022) |
| title_full_unstemmed | A quality-assured dataset of nine radiation components observed at the Shangdianzi regional GAW station in China (2013–2022) |
| title_short | A quality-assured dataset of nine radiation components observed at the Shangdianzi regional GAW station in China (2013–2022) |
| title_sort | quality assured dataset of nine radiation components observed at the shangdianzi regional gaw station in china 2013 2022 |
| url | https://essd.copernicus.org/articles/16/961/2024/essd-16-961-2024.pdf |
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