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RFR-CCS: A monthly surface pCO2 product for the California Current Large Marine Ecosystem

Authors: Sharp, Jonathan D.; Fassbender, Andrea J.; Carter, Brendan R.; Lavin, Paige D.; Sutton, Adrienne J.;

RFR-CCS: A monthly surface pCO2 product for the California Current Large Marine Ecosystem

Abstract

Description RFR-CCS is a monthly data product of surface pCO2 for the California Current Large Marine Ecosystem. It was built using pCO2 observations from the Surface Ocean CO2 Atlas, fit against a variety of driver variables (sources of which are listed below) using a Random Forest Regression, and provided on a 0.25 degree resolution grid from January 1998 to December 2020. Citation If using this product, please also cite the original manuscript: Sharp, J.D., Fassbender, A.J., Carter, B.C., Lavin, P.D., and Sutton, A.J. A monthly surface pCO2 product for the California Current Large Marine Ecosystem. Earth System Science Data, 14, 2081–2108, 2022. doi: 10.5194/essd-14-2081-2022. Driver Variables (figshare) 1. Sea Surface Temperature: OISSTv2 2. Sea Surface Salinity: ECCO2 3. Chlorophyll-a: Oregon State (via NASA) 4. Wind Speed: ERA5 5. Atmospheric pCO2: NOAA MBL 6. Mixed Layer Depth: HYCOM 7. Distance from Shore: Calculated from latitude and longitude (dist2coast, Climate Data Toolbox) 8. Year 9. Month of Year

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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