#PlanetPartners: University flood expert joins exclusive weather forecasting research team
21 December 2020
A University of Reading flooding expert has been appointed as a Fellow by the European Centre for Medium-range Weather Forecasts (ECMWF), continuing the close collaboration between researchers at the two institutions.
Professor Hannah Cloke has accepted a fellowship focusing on hydrology and coupling processes in Earth’s atmosphere, and joins six other ECMWF Fellows from Europe and the United States.
Commencing 1 January 2021, the initial three-year terms will see the scientists work closely with ECMWF on scientific and technical research in areas related to Earth system modelling, ensemble forecasting, and applications.
The new appointments take the total number of ECMWF Fellows to 12.
“Science gains so much when researchers are able to collaborate with colleagues from around the world" - Professor Hannah Cloke, University of Reading
Professor Cloke said: “Being appointed as an ECMWF Fellow is a huge honour, and means having access to world-leading forecasting tools that have allowed University of Reading scientists to make major breakthroughs in understanding and predicting the weather on our planet.
“Science gains so much when researchers are able to collaborate with colleagues from around the world. This appointment will continue to provide mutual benefits to the University of Reading and its global partners.”
Fellows have access to ECMWF computing facilities and databases and are encouraged to provide regular, short reports of the key results of their work for publication on ECMWF’s website and in other relevant publications.
Dr Florence Rabier, ECMWF Director-General, said: “ECMWF’s strength relies on a variety of collaborations and partnerships with individuals, institutions and international organisations.
“The Fellowships are a mutually beneficial opportunity for our scientists and individual experts and their wider networks to carry out innovative research on some of the most pressing questions in numerical weather prediction.”
Image courtesy of ECMWF