Mapping long-term and high-resolution global gridded photosynthetically active radiation using the ISCCP H-series cloud product and reanalysis data
<p>Photosynthetically active radiation (PAR) is a fundamental physiological variable for research in the ecological, agricultural, and global change fields. In this study, we produced a 35-year (1984–2018) high-resolution (3 h, 10 km) global gridded PAR dataset using an effective physical-base...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2022-04-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/14/2007/2022/essd-14-2007-2022.pdf |
| _version_ | 1828364058055671808 |
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| author | W. Tang J. Qin K. Yang Y. Jiang W. Pan |
| author_facet | W. Tang J. Qin K. Yang Y. Jiang W. Pan |
| author_sort | W. Tang |
| collection | DOAJ |
| description | <p>Photosynthetically active radiation (PAR) is a fundamental
physiological variable for research in the ecological, agricultural, and
global change fields. In this study, we produced a 35-year (1984–2018)
high-resolution (3 h, 10 km) global gridded PAR dataset using an effective
physical-based model. The main inputs of the model were the latest
International Satellite Cloud Climatology Project (ISCCP) H-series cloud
products, MERRA-2 aerosol data, ERA5 surface routine variables, and MODIS
and CLARRA-2 albedo products. Our gridded PAR product was evaluated against
surface observations measured at 7 experimental stations of the SURFace
RADiation budget network (SURFRAD), 42 experimental stations of the National
Ecological Observatory Network (NEON), and 38 experimental stations of the
Chinese Ecosystem Research Network (CERN). Instantaneous PAR was validated
against SURFRAD and NEON data; mean bias errors (MBE) and root mean square
errors (RMSE) were, on average 5.8 and 44.9 W m<span class="inline-formula"><sup>−2</sup></span>,
respectively, and the correlation coefficient (<span class="inline-formula"><i>R</i></span>) was 0.94 at the 10 km scale.
When upscaled to 30 km, the errors were markedly reduced. Daily PAR was
validated against SURFRAD, NEON, and CERN data, and the RMSEs were 13.2, 13.1, and 19.6 W m<span class="inline-formula"><sup>−2</sup></span>, respectively, at the 10 km
scale. The RMSEs were slightly reduced when upscaled to 30 km. Compared with
the well-known global satellite-based PAR product of the Earth's Radiant
Energy System (CERES), our PAR product was found to be a more accurate
dataset with higher resolution. This new dataset is now available
at <a href="https://doi.org/10.11888/RemoteSen.tpdc.271909">https://doi.org/10.11888/RemoteSen.tpdc.271909</a> (Tang, 2021).</p> |
| first_indexed | 2024-04-14T05:10:30Z |
| format | Article |
| id | doaj.art-1b35a810c6914515a4fbf194e33c3693 |
| institution | Directory Open Access Journal |
| issn | 1866-3508 1866-3516 |
| language | English |
| last_indexed | 2024-04-14T05:10:30Z |
| publishDate | 2022-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth System Science Data |
| spelling | doaj.art-1b35a810c6914515a4fbf194e33c36932022-12-22T02:10:35ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162022-04-01142007201910.5194/essd-14-2007-2022Mapping long-term and high-resolution global gridded photosynthetically active radiation using the ISCCP H-series cloud product and reanalysis dataW. Tang0J. Qin1K. Yang2Y. Jiang3W. Pan4National Tibetan Plateau Data Center (TPDC), State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, ChinaDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, ChinaNational Tibetan Plateau Data Center (TPDC), State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China<p>Photosynthetically active radiation (PAR) is a fundamental physiological variable for research in the ecological, agricultural, and global change fields. In this study, we produced a 35-year (1984–2018) high-resolution (3 h, 10 km) global gridded PAR dataset using an effective physical-based model. The main inputs of the model were the latest International Satellite Cloud Climatology Project (ISCCP) H-series cloud products, MERRA-2 aerosol data, ERA5 surface routine variables, and MODIS and CLARRA-2 albedo products. Our gridded PAR product was evaluated against surface observations measured at 7 experimental stations of the SURFace RADiation budget network (SURFRAD), 42 experimental stations of the National Ecological Observatory Network (NEON), and 38 experimental stations of the Chinese Ecosystem Research Network (CERN). Instantaneous PAR was validated against SURFRAD and NEON data; mean bias errors (MBE) and root mean square errors (RMSE) were, on average 5.8 and 44.9 W m<span class="inline-formula"><sup>−2</sup></span>, respectively, and the correlation coefficient (<span class="inline-formula"><i>R</i></span>) was 0.94 at the 10 km scale. When upscaled to 30 km, the errors were markedly reduced. Daily PAR was validated against SURFRAD, NEON, and CERN data, and the RMSEs were 13.2, 13.1, and 19.6 W m<span class="inline-formula"><sup>−2</sup></span>, respectively, at the 10 km scale. The RMSEs were slightly reduced when upscaled to 30 km. Compared with the well-known global satellite-based PAR product of the Earth's Radiant Energy System (CERES), our PAR product was found to be a more accurate dataset with higher resolution. This new dataset is now available at <a href="https://doi.org/10.11888/RemoteSen.tpdc.271909">https://doi.org/10.11888/RemoteSen.tpdc.271909</a> (Tang, 2021).</p>https://essd.copernicus.org/articles/14/2007/2022/essd-14-2007-2022.pdf |
| spellingShingle | W. Tang J. Qin K. Yang Y. Jiang W. Pan Mapping long-term and high-resolution global gridded photosynthetically active radiation using the ISCCP H-series cloud product and reanalysis data Earth System Science Data |
| title | Mapping long-term and high-resolution global gridded photosynthetically active radiation using the ISCCP H-series cloud product and reanalysis data |
| title_full | Mapping long-term and high-resolution global gridded photosynthetically active radiation using the ISCCP H-series cloud product and reanalysis data |
| title_fullStr | Mapping long-term and high-resolution global gridded photosynthetically active radiation using the ISCCP H-series cloud product and reanalysis data |
| title_full_unstemmed | Mapping long-term and high-resolution global gridded photosynthetically active radiation using the ISCCP H-series cloud product and reanalysis data |
| title_short | Mapping long-term and high-resolution global gridded photosynthetically active radiation using the ISCCP H-series cloud product and reanalysis data |
| title_sort | mapping long term and high resolution global gridded photosynthetically active radiation using the isccp h series cloud product and reanalysis data |
| url | https://essd.copernicus.org/articles/14/2007/2022/essd-14-2007-2022.pdf |
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