A long-term and high-resolution global gridded photosynthetically active radiation product (1984-2018)

A long-term and high-resolution global gridded photosynthetically active radiation product (1984-2018)

Photosynthetically active radiation (PAR) is fundamental physiological variable driving the process of material and energy exchange, and is indispensable for researches in ecological and agricultural fields. In this study, we produced a 35-year (1984-2018) high-resolution (3 h, 10 km) global grided PAR dataset with an effective physical-based PAR model. The main inputs were cloud optical depth from the latest International Satellite Cloud Climatology Project (ISCCP) H-series cloud products, the routine variables (water vapor, surface pressure and ozone) from the ERA5 reanalysis data, aerosol from the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) products and albedo from Moderate Resolution Imaging Spectroradiometer (MODIS) product after 2000 and CLARRA-2 product before 2000. The grided PAR products were evaluated against surface observations measured at seven 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). The instantaneous PAR was validated at the SURFRAD and NEON, and the mean bias errors (MBEs) and root mean square errors (RMSEs) are 5.6 W m-2 and 44.3 W m-2, and 5.9 W m-2 and 45.5 W m-2, respectively, and correlation coefficients (R) are both 0.94 at 10 km scale. When averaged to 30 km, the errors were obviously reduced with RMSEs decreasing to 36.3 W m-2 and 36.3 W m-2 and R both increasing to 0.96. The daily PAR was validated at the SURFRAD, NEON and CERN, and the RMSEs were 13.2 W m-2, 13.1 W m-2 and 19.6 W m-2, respectively at 10 km scale. The RMSEs were slightly reduced to 11.2 W m-2, 11.6 W m-2, and 18.6 W m-2 when upscaled to 30 km. Comparison with the other well-known global satellite-based PAR product of the Earth's Radiant Energy System (CERES) reveals that our PAR product was a more accurate dataset with higher resolution than the CRERS. Our grided PAR dataset would contribute to the ecological simulation and food yield assessment in the future.

File naming and required software

Each data file is named ISCCP_ HXG_ total_ PAR_ yyyy_ mm_ dd_ hh. NC (for example, isccp_hxg_total_par_2000_01_01_00. NC), where yyyy is the year, mm is the month, DD is the day, HH is the hour, which means that a file contains only one hour of data, and. NC is the suffix of the file name, indicating that the data is stored in NetCDF format. For more information about NetCDF, see http://www.unidata.ucar.edu/software/netcdf 。

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Cite as:

Tang, W. (2021). A long-term and high-resolution global gridded photosynthetically active radiation product (1984-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/RemoteSen.tpdc.271909. CSTR: 18406.11.RemoteSen.tpdc.271909. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Tang, W., Qin, J., Yang, K., Jiang, Y., & Pan, W. (2022). Mapping long-term and high-resolution global gridded photosynthetically active radiation using the ISCCP H-series cloud product and reanalysis data. Earth Syst. Sci. Data, 14, 2007–2019, https://doi.org/10.5194/essd-14-2007-2022.( View Details | Bibtex)

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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)

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Geographic coverage
East: 180.00 West: 180.00
South: 90.00 North: 90.00
  • Temporal resolution: Hourly
  • Spatial resolution: 1km - 10km
  • File size: 1,850,000 MB
  • Views: 7017
  • Downloads: 597
  • Access: Open Access
  • Temporal coverage: 1984-01-01 To 2018-12-31
  • Updated time: 2022-04-29
: TANG Wenjun  

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