RFR-CCS is a monthly data product of surface ocean partial pressure of carbon dioxide (pCO2) for the California Current Large Marine Ecosystem. It was created by Jonathan D. Sharp of the University of Washington using a Random Forest Regression model on observations from the Surface Ocean CO2 Atlas. The product is provided on a 0.25-degree grid from January 1998 to December 2020.
Use Cases
- Modeling ocean carbon uptake based on monthly pCO2 estimates.
- Analyzing long-term trends in ocean acidification based on the 1998-2020 time series.
- Studying spatial variability of pCO2 in the California Current based on the 0.25-degree grid.
- Investigating relationships between pCO2 and driver variables like sea surface temperature and chlorophyll-a.
Strengths
- Covers a 23-year time series from 1998 to 2020.
- Provides data on a consistent 0.25-degree spatial resolution grid.
- Integrates multiple data sources, including sea surface temperature, salinity, chlorophyll-a, and atmospheric pCO2.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- University of Washington, using data from the Surface Ocean CO2 Atlas and other listed sources.
- Collection Method
- Random Forest Regression model applied to pCO2 observations and driver variables.
- Time Range
- January 1998 to December 2020
- Geography
- California Current Large Marine Ecosystem