GC53F-1277
The EUSTACE project: delivering global, daily information on surface air temperature

Friday, 18 December 2015
Poster Hall (Moscone South)
Nick A Rayner, Met Office Hadley Centre, Exeter, United Kingdom and Colin P Morice, Met Office Hadley center for Climate Change, Exeter, United Kingdom
Abstract:
Day-to-day variations in surface air temperature affect society in many ways; however, daily surface air temperature measurements are not available everywhere. A global daily analysis cannot be achieved with measurements made in situ alone, so incorporation of satellite retrievals is neededTo achieve this, we must develop an understanding of the relationships between traditional (land and marine) surface air temperature measurements and retrievals of surface skin temperature from satellite measurements, i.e. Land Surface Temperature, Ice Surface Temperature, Sea Surface Temperature and Lake Surface Water Temperature. These relationships can be derived either empirically or with the help of a physical model.

Here we discuss the science needed to produce a fully-global daily analysis (or ensemble of analyses) of surface air temperature on the centennial scale, integrating different ground-based and satellite-borne data types. Information contained in the satellite retrievals would be used to create globally-complete fields in the past, using statistical models of how surface air temperature varies in a connected way from place to place. As the data volumes involved are considerable, such work needs to include development of new “Big Data” analysis methods.

We will present plans and progress along this road in the EUSTACE project (2015-June 2018), i.e.

• providing new, consistent, multi-component estimates of uncertainty in surface skin temperature retrievals from satellites
• identifying inhomogeneities in daily surface air temperature measurement series from weather stations and correcting for these over Europe
• estimating surface air temperature over all surfaces of Earth from surface skin temperature retrievals
• using new statistical techniques to provide information on higher spatial and temporal scales than currently available, making optimum use of information in data-rich eras.

Information will also be given on how interested users can become involved.