Project Manager

Dr Rob Allan: Climate Monitoring and Attribution Group, Met Office Hadley Centre

The ACRE Project Manager will forge stronger, seamless linkages between historical climate data and reanalyses developers and climate applications and impacts community users by fusing together:

1: Historical climate quality reanalyses based only on surface observations over the globe.

The ACRE Project Manager will facilitate the data needs and developments for pioneering historical surface-observations-only reanalyses. The initial focus will be to support the 20th Century Reanalysis Project, which will produce a unique global reanalysis product of weather conditions every 6 hours from the surface to the tropopause at 2 x 2 degree global resolution through the assimilation of only surface terrestrial and marine climate variables (e.g. Mean Sea Level Pressure and Sea Surface Temperature) on sub-daily time scales from 1892 to the present. This will provide the basis for further extensions of surface observations-based reanalyses back in time. There are sufficient surface observational data coverage for global reanalyses back to the mid-19th century and specifically over the North Atlantic-European region from the mid-18th century to the present under the ACRE project. All of these reanalyses will produce a 56-member ensemble output and error estimates.

2: Historical reanalysis generated weather input variables for climate applications and impacts models

The ACRE Project Manager will work with the climate applications and impacts community to ensure that the weather variables produced by the ACRE-facilitated historical reanalyses are what that community can use. This will extend to ACRE-facilitated reanalyses outputs feeding directly into various production (crop, water, economic etc) and environmental (storm, storm surge etc.) models, and involve working with researchers exploring downscaling techniques or using Limited Area Climate Models that are currently fed by existing ERA or NCEP reanalysis products. The seamless linking of such capacity into an immense range of climate applications models and activities has not previously been possible.