When available, the links to the new FIDUCEO datasets will be here. We anticipate that they will begin to be available in mid-2017. See the timeline page for more information.
We will utilise data from principal > 20 yr-long satellite sensor series and apply rigorous metrology based approaches to create four new FCDRs of widespread utility to science. From these, we will derive five CDRs essential to science and society.
Specifically, the FCDRs that we will produce are for:
- Meteosat Visible and Infra-Red Imager (MVIRI), 1982-2016
- Advanced Very High Resolution Radiometer (AVHRR), 1982-2016
- High-resolution Infra-Red Sounder (HIRS), 1982-2016
- Microwave humidity sounder series (SSM/T2, AMSU-B, MHS), 1992-2016
For each of these we will establish traceable chains on which to model uncertainty. We will propagate the components of uncertainty whilst accounting for different error correlation structures inherent in the different sources of error. These will further allow us to establish traceable estimates of the long-term observational stability of the FCDRs.
From these FCDRs, we will derive the following CDRs:
- Upper-tropospheric humidity from HIRS & microwave humidity sounders (ensemble)
- Sea surface temperature from AVHRR (ensemble)
- Lake surface temperature from AVHRR
- Surface albedo from MVIRI
- Aerosol optical depth from MVIRI and AVHRR
These have been carefully chosen to be complementary in various ways to datasets generated by existing programmes (e.g. ESA Climate Change Initiative, Climate Monitoring SAF, etc). We will propogate the new FCDR uncertainty information into the uncertainty of the CDR and propogate further uncertainties arising during the formation of the CDR. We will also produce a validated uncertainty budget for every geophysical value. These will allow us to assess the benefit of the FCDR improvements and produce a traceable estimate of the stability of each CDR.
All datasets will be provided in a common "easy" format, as well as community-standard "specialist" formats. All data, software tools and methods will be freely and openly accessible.