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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
| selected citations These citations are derived from selected sources. 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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