Atmospheric CO2 Data
Ship & Ice-floe Campaign Data (1957-1984)
Atmospheric CO2 concentrations (ppm) derived from flask air samples taken aboard ship and ice-floes. The data has been calibrated onto the x08A scale.
There are two data files for the ship and ice-floe campaigns. One is the flask average, flav_all_cruises.csv, and the other is the flask date-time average, fldav_all_cruises.csv.
flav_all_cruises.csv - Contains flask CO2 averages for all campaigns listed in Table 1, i.e. averages of all retained measurements on an individual flask. One or more measurements were made on each flask sample. Flagging of accepted values is included.
fldav_all_cruises.csv - Contains flask CO2 date-time averages for all campaigns listed in Table 1, i.e. averages of multiple flasks collected concurrently at the same date and time where the times are within a window of 10 minutes. Here there can be more than one average on a given date since flask replicates were occasionally collected more than once a day. Flagging of accepted values is included in the file.
| Measurement | Type | Data File | Dates |
|---|---|---|---|
| CO2 | Flask average | flav_all_cruises.csv | 1957 - 1984 |
| CO2 | Flask date-time average | fldav_all_cruises.csv | 1957 - 1984 |
Supplemental Material
Report on early ship & ice-floe campaign data (PDF)
Usage Restrictions
Scripps CO2 program data and graphics on scrippsco2.ucsd.edu are licensed under a CC BY license, Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which clarifies appropriate uses and requirements, including that credit be given to the Scripps Institution of Oceanography at UC San Diego. Some products from this site incorporate data from sources external to the Scripps CO2 program, as indicated. Additional credit must be given for these products, as appropriate for that source.
Ethical usage may also require disclosing intentions at early stages to avoid duplicating ongoing studies at Scripps or elsewhere. For applications supporting peer-reviewed scientific publications, coauthorship may sometimes be appropriate. An example would be if an important result or conclusion depends on this product, such as the first account of a previously unreported phenomenon.
Please direct queries to Ralph Keeling (rkeeling@ucsd.edu)