For 0.5 degree dataset, each file contains one year of data for each month (monthly resolution), or every 4 day (4day resolution). These files are named by the years "OCO2.SIF.clear.daily.yyyy.nc", where yyyy indicate the year. For 0.05 degree dataset, each file contains one day of year (DOY). The filenames include the year and DOY information "OCO2.SIF.clear.inst.yyyydoy.v2.nc", where yyyy indicates the year, and doy indicates the day of year.
For each DOY, clear daily SIF represents the daily averaged SIF (a good proxy of GPP) during this four day, in which the starting date is indicated by the DOY. The clear daily SIF should be more comparable with satellite observed SIF and should have a better relationship with GPP.
张尧. (2021). A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks (2000-2020). 时空三极环境大数据平台,
DOI:
10.11888/Ecolo.tpdc.271751.
CSTR:
18406.11.Ecolo.tpdc.271751.
[Zhang, Y. (2021). . A Big Earth Data Platform for Three Poles,
DOI:
10.11888/Ecolo.tpdc.271751.
CSTR:
18406.11.Ecolo.tpdc.271751.
]
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1. Zhang, Y., Joiner, J., Alemohammad, S.H., Zhou, S., & Gentine, P. ( 2018). A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks. Biogeosciences, 15, 5779-5800, https://doi.org/10.5194/bg-15-5779-2018.( 查看 | Bibtex格式)
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