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Published September 15, 2021 | Supplemental Material
Journal Article Open

Solar-induced chlorophyll fluorescence from the Geostationary Carbon Cycle Observatory (GeoCarb): An extensive simulation study

Abstract

The Geostationary Carbon Cycle Observatory (GeoCarb), to be launched in 2023, will be capable of measuring solar-induced chlorophyll fluorescence (SIF) and add to the current space-based record which started in 1995. GeoCarb will be unique as it will be the first geostationary satellite capable of sensing SIF over the American continents. Consequently, SIF measurements from GeoCarb can be performed much more flexibly compared to polar-orbiting platforms. With its scan mirror assembly, the instrument can point to any location on the Earth disc. This will allow measurements to be collected at various times of day, and measurement locations can be re-visited several times within a day. In expectation of the launch, we conduct an extensive, SIF-focused simulation study and explore the capability and limitations of the instrument and its particular sampling approach. Using cloud information from real measurements, as well as other observation- and model-based data, we produce over four million atmospheric simulations of GeoCarb measurements that the instrument would see throughout a full day. We then apply dedicated SIF retrieval algorithms on the simulated spectra and investigate the results along with cloud-screening performance and emergent retrieval biases and subsequent bias correction. Finally, we make comparisons with currently operating instruments where appropriate and show future science users of GeoCarb SIF what a typical day of measurements will yield.

Additional Information

© 2021 Elsevier Inc. Received 23 December 2020, Revised 21 April 2021, Accepted 14 June 2021, Available online 24 June 2021. The authors thank both A. Di Noia and L. Vogel for their assistance with implementing the CAMS aerosol optical properties in the simulations, as well as T.E. Taylor for providing feedback on the first draft of the manuscript. We made extensive use of following Python libraries for data processing purposes: the Numpy array programming tools (Harris et al., 2020) along with SciPy (Virtanen et al., 2020), Statsmodels (Seabold and Perktold, 2010) and pandas (McKinney et al., 2011). Visualizations were produced with Matplotlib (Hunter, 2007), Cartopy (Met Office, 2010) and GMT6 (Wessel et al., 2019). Additional geographical transformations were performed with GDAL (GDAL/OGR Contributors, 2020) and PROJ (PROJ Contributors, 2020). Work at Colorado State University was supported via subcontract 2017-40 with the University of Oklahoma for the GeoCarb mission. PK was funded by the Earth Science U.S. Participating Investigator (Grant: NNX15AH95G). Data availability: A file containing the main variables of the full single-day simulation can be obtained at: http://reef.atmos.colostate.edu/psomkuti/GeoCarbSIF/GeoCarbSIF_readme.txt. Simulated L1B radiance data and accompanying meteorological data to perform retrievals can be obtained upon request. Declaration of Competing Interest: None.

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Created:
August 22, 2023
Modified:
October 23, 2023