Dr Joseph Daron

Areas of expertise

  • Communicating climate information to guide decision making in developing countries
  • Analysing climate data and exploring uncertainties in climate model projections to inform risk and vulnerability assessments
  • Exploring concepts of climate predictability from a complex nonlinear systems perspective
  • Leading the delivery and development of climate service projects in Africa and Asia

Publications by Joseph Daron

Current Activities

Joe is a Science Manager in the International Climate Services team within the Applied Science division at the Met Office. He leads a small team to deliver and develop climate services, focusing on activities in Africa and Asia (e.g. CSSP China).

Joe is engaged in a number of projects in sub-Saharan Africa. This includes FRACTAL (Future Resilience in African CiTies And Lands), led by the University of Cape Town, which aims to improve the climate resilience of cities in southern Africa. The project is part of the five-year Future Climate for Africa (FCFA) international research programme jointly funded by the UK Department for International Development (DFID) and the UK Natural Environment Research Council (NERC). In addition, Joe is working with colleagues at the Met Office, the Walker Institute at Reading University and the Norwegian Refugee Council in the DFID funded "People-centred climate services in the Sahel" project, and is also involved in the BRACED (Building Resilience and Adaptation to Climate Extremes and Disasters) projects in Ethiopia and Burkina Faso.

From January 2015 to December 2016, Joe was the science lead on a project funded by DFID titled, "Building Resilience to Climate Extremes following Typhoon Haiyan in the Philippines". The project helped to inform planning and resilience building efforts in the Philippines, focusing on the changing risks associated with tropical cyclones and sea level rise. Working together with the Philippine Atmospheric, Geophysical and Astronomical Services Administration (PAGASA), the project involved downscaling CMIP5 global climate models, using the Met Office regional climate model HadGEM3-RA, as well as communicating climate projections and broader risk information to stakeholders across the Philippines. The project also involved pilot studies with decision makers in Manila and Salcedo to help improve understanding and the uptake of climate information for use in local level planning.

Career Background

Joe joined the Met Office in January 2015. Previously he worked for three years as a postdoctoral research fellow in the Climate System Analysis Group at the University of Cape Town in South Africa. His research focused on the development of climate services and the interpretation of climate information by decision makers involved in climate change adaptation, particularly in Africa. Whilst at the University of Cape Town, Joe led a number of research projects, including a study to examine the interpretation of climate data visualisations by different climate information users, and a study exploring the use of climate information by decision makers in the Cape Town municipality in response to the emerging risks affecting transport infrastructure along the city's coastline.  
In 2012 Joe obtained a PhD from the London School of Economics and Political Science. His thesis, titled "Examining the decision-relevance of climate model information for the insurance industry" explored fundamental concepts of predictability in the climate system (particularly in relation to initial condition ensembles) as well as the application of uncertain climate projections to strategic insurance decisions. His research was sponsored by Lloyd's of London and his primary supervisor was Dr David Stainforth. Joe initially began the PhD at the University of Exeter, and halfway through the PhD Joe spent six months working at the Met Office as part of an internship sponsored by the Knowledge Transfer Network (KTN) for Industrial Mathematics. He worked with Doug McNeall in the Climate Impacts team to investigate the use of Bayesian Networks to communicate climate risks. 
Joe graduated in 2007 with a degree in meteorology from the University of Reading. During the four year course Joe spent one year in the School of Meteorology at the University of Oklahoma.