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DOI10.5194/essd-14-2007-2022
Mapping long-term and high-resolution global gridded photosynthetically active radiation using the ISCCP H-series cloud product and reanalysis data
Tang, Wenjun; Qin, Jun; Yang, Kun; Jiang, Yaozhi; Pan, Weihao
通讯作者Tang, WJ (通讯作者)
发表日期2022
ISSN1866-3508
EISSN1866-3516
起始页码2007
结束页码2019
卷号14期号:4
英文摘要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(-2), respectively, and the correlation coefficient (R) 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(-2,) 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 https://doi.org/10.11888/RemoteSen.tpdc.271909 (Tang, 2021).
关键词ALL-SKY CONDITIONSSOLAR-RADIATIONSHORTWAVE RADIATIONNETWORKMODELPARAMETERIZATIONILLUMINANCEIRRADIANCEDIFFUSESCHEME
语种英语
WOS研究方向Geology ; Meteorology & Atmospheric Sciences
WOS类目Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS记录号WOS:000787783800001
来源期刊EARTH SYSTEM SCIENCE DATA
来源机构中国科学院青藏高原研究所
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/260591
推荐引用方式
GB/T 7714
Tang, Wenjun,Qin, Jun,Yang, Kun,et al. Mapping long-term and high-resolution global gridded photosynthetically active radiation using the ISCCP H-series cloud product and reanalysis data[J]. 中国科学院青藏高原研究所,2022,14(4).
APA Tang, Wenjun,Qin, Jun,Yang, Kun,Jiang, Yaozhi,&Pan, Weihao.(2022).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,14(4).
MLA Tang, Wenjun,et al."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 14.4(2022).
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