Quality Information DocumentThis product corresponds to a REP L4 time series of monthly global reconstructed surface ocean pCO2, air-sea fluxes of CO2 and pH and associated uncertainties on a 1° x 1° regular grid. The product is obtained from an ensemble-based forward feed neural network approach mapping situ data for surface ocean fugacity (SOCAT data base, Bakker et al. 2016, https://www.socat.info/) and sea surface salinity, temperature, sea surface height, chlorophyll a, mixed layer depth and atmospheric CO2 mole fraction. Sea-air flux fields are computed from the air-sea gradient of pCO2 and the dependence on wind speed of Wanninkhof (1992). Surface ocean pH on total scale is then computed from surface ocean pCO2 and reconstructed surf...
The Surface Ocean CO2 Atlas (SOCAT) is a synthesis activity by the international marine carbon resea...
Understanding the oceans role in mitigating atmospheric CO2 and climate requires a good constraint o...
The dataset contains interpolated fields of surface ocean partial pressure of carbon dioxide (pCO2sw...
Quality Information DocumentThis product corresponds to a REP L4 time series of monthly global recon...
The dataset was produced by a method based on "A global surface ocean fCO2 climatology based on a fe...
Global climatologies of the seawater CO2 chemistry variables are necessary to assess the marine carb...
International audienceA new feed-forward neural network (FFNN) model is presented to reconstruct sur...
This data set includes the global surface ocean CO2 fugacity and fluxes in 1990-2017 in 1x1 degree r...
The data in JTECH-D-13-00137.nc includes the model inputs and outputs published in "A global surface...
In spite of the recent strong increase in the number of measurements of the partial pressure of CO2 ...
The Surface Ocean CO₂ Atlas (SOCAT, www.socat.info) is a synthesis activity by the international ma...
The data set consists of interpolated fields of global surface ocean partial pressure of carbon diox...
Various machine learning methods were attempted in the global mapping of surface ocean partial press...
The Surface Ocean CO2 Atlas (SOCAT) is a synthesis activity by the international marine carbon resea...
Understanding the oceans role in mitigating atmospheric CO2 and climate requires a good constraint o...
The dataset contains interpolated fields of surface ocean partial pressure of carbon dioxide (pCO2sw...
Quality Information DocumentThis product corresponds to a REP L4 time series of monthly global recon...
The dataset was produced by a method based on "A global surface ocean fCO2 climatology based on a fe...
Global climatologies of the seawater CO2 chemistry variables are necessary to assess the marine carb...
International audienceA new feed-forward neural network (FFNN) model is presented to reconstruct sur...
This data set includes the global surface ocean CO2 fugacity and fluxes in 1990-2017 in 1x1 degree r...
The data in JTECH-D-13-00137.nc includes the model inputs and outputs published in "A global surface...
In spite of the recent strong increase in the number of measurements of the partial pressure of CO2 ...
The Surface Ocean CO₂ Atlas (SOCAT, www.socat.info) is a synthesis activity by the international ma...
The data set consists of interpolated fields of global surface ocean partial pressure of carbon diox...
Various machine learning methods were attempted in the global mapping of surface ocean partial press...
The Surface Ocean CO2 Atlas (SOCAT) is a synthesis activity by the international marine carbon resea...
Understanding the oceans role in mitigating atmospheric CO2 and climate requires a good constraint o...
The dataset contains interpolated fields of surface ocean partial pressure of carbon dioxide (pCO2sw...