Published June 25, 2023 | Version v1.0.0
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coSIF Data Product for February, April, July, and October 2021

  • 1. University of Wollongong

Description

The monthly, 0.05-degree resolution coSIF predictions and corresponding root-mean-squared prediction errors (RMSPEs) for each of February, April, July, and October 2021 over North America. Each NetCDF file corresponds to one of the four months and contains two variables: "cosif_prediction" and "cosif_rmspe." For example, "coSIF_202102.nc4" corresponds to February 2021. All units are Watts per square meter, per steradian, and per micrometer (W \ m^2 \ sr \ \(\mu\)m).

As described in Jacobson et. al. (2023), predictions and RMSPEs for July 2021 were produced using cokriging. For all other months, predictions and RMSPEs were produced using kriging.

Files

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md5:22fdabc9f128e2dc085142736e616a51
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Additional details

Funding

Australian Research Council
Discovery Projects - Grant ID: DP190100180 DP190100180
Australian Research Council
Discovery Early Career Researcher Award - Grant ID: DE180100203 DE180100203

References

  • Jacobson, J., Cressie, N., & Zammit-Mangion, A. (2023). Spatial statistical prediction of solar-induced chlorophyll fluorescence (SIF) from multivariate OCO-2 data. Remote Sensing, 15(16), 4038. https://doi.org/10.3390/rs15164038