CarbonTracker Near-Real Time (CT-NRT) is an extension of the formal CarbonTracker CO2 analysis system, designed to bridge the gap between annual updates of the formal CarbonTracker product. It extends model results past the end of the current CarbonTracker release up until the most recent date we can simulate. Usually this is limited by the availability of ERA-interim meteorology to drive the TM5 transport model. CT-NRT uses real-time meteorology, different flux priors, and assimilates only a fraction of the CO2 observations assimilated by the formal CarbonTracker product. These are provisional, near-real time CO2 observations from the small set of sites able to provide them.
CT-NRT.v2020-1 is the current release. It provides results from 2018-Dec-22 to 2019-Aug-30. CT-NRT.v2020-1 starts from a CT2019 initial condition on 2018-Dec-22 using the CT2019 p1c2l1 suite member. For dates before 1 January 2019, we recommend use of the standard CarbonTracker release (CT2019).
CT-NRT.v2020-1 results can be downloaded from /gmd/aftp/products/carbontracker/co2/CT-NRT.v2020-1/.
CT-NRT.v2020-1 differs from our standard CarbonTracker product in the following ways:
- Assimilation of provisional CO2 observations. CT-NRT.v2020-1 uses CO2 observational data a Near-Real Time (NRT) ObsPack. The NRT data are made available through special arrangement with data providers and have two significant limitations. First, there are fewer data available in each day. This is due to unavoidable delays such as shipping of physical samples, analysis, data processing, and quality-control procedures for the measurements are still underway. Second, these observations generally have not undergone full quality-control procedures. Many of these procedures require a full year's worth of measurements to account for large seasonal variations. For more information, please see the NRT ObsPack release notes.
CT-NRT.v2020-1 uses data from the obspack_co2_1_NRT_v5.1_2020-01-22 ObsPack. Decisions about which observations to assimilate, and with which level of model-data mismatch follow the CT2019 methodology.
- Use of a different prior flux model. Our standard land biosphere flux prior is not available in near-real time, so we had to develop an alternative first-guess flux estimate. For this, we take the climatology of optimized land, wildfire, and ocean fluxes from the latest standard CarbonTracker release (for this release, that is CT2019). Since the majority of flux variability comes from the land biosphere, a land flux anomaly model also has been developed. This is a simple regression of CT2019 land flux anomalies as a function of anomalies of precipitation, shortwave radiation, and temperature. The statistical flux anomaly model was developed for each CarbonTracker ecoregion, and provides daily estimates of NEE anomaly. The radiation and temperature data for this model come from the ERA-interim meteorology used by TM5; the precipitation anomaly comes from the Global Precipitation Climatology Project. Although this flux prior does not reliably reproduce interannual variability, it is arguably a more statistically optimal prior than that for our standard release since it already represents the long-term mean CO2 sinks that we know exist. Since the priors for our standard release do not represent these sinks, the standard CarbonTracker requires that CO2 observations correct these biased priors.
- Fossil-fuel emissions CT-NRT.v2020-1 does not yet apply the TIMES scaling factors to fossil fuel emissions, and therefore does not have diurnal and day-of-week variability in those emissions. The British Petroleum Statistical Review of World Energy (2019) reports that there was a 2% growth in fossil fuel emissions in 2018 compared to 2017. Fossil fuel emissions in CT-NRT.v2020-1 reflect this trend.
Previous releases of CT-NRT are available here.