This interesting role is based at the European Centre for Medium-Range Weather Forecasts (ECMWF) in Reading, United Kingdom, and aimed at the enhanced exploitation of satellite wind information for Numerical Weather Prediction. The Research Fellow will be in charge of advancing the use of Atmospheric Motion Vectors (AMVs) derived from cloud motions in polar and geostationary satellite observations in ECMWF’s global weather forecast system. The successful candidate will be providing important feedback on AMV product developments to space agencies, in particular EUMETSAT. They will join the Earth System Assimilation Section in the Research Department at ECMWF, working at the forefront of the use of satellite data for Numerical Weather Prediction.
ECMWF is a world leader in Numerical Weather Predictions providing high-quality data for weather forecasts and environmental monitoring. As an intergovernmental organisation, we collaborate internationally to serve our members and the wider community with global weather predictions, data and training activities that are critical to contribute to safe and thriving societies.
The success of our activities depends on the funding and partnerships of the 35 Member and Co-operating States who provide the support and direction of our work. Our talented staff together with the international scientific community, and our powerful supercomputing capabilities, are the core of a 24/7 research and operational centre with a focus on medium and long-range predictions. We also hold one of the largest meteorological data archives in the world.
Our vision: The strength of a common goal
Our mission: Deliver global numerical weather predictions focusing on the medium-range and monitoring of the Earth system to and with our Member States
ECMWF is a multi-site organisation, with its headquarters in Reading, UK, a data centre in Bologna, Italy, and a large presence in Bonn, Germany, as a central location for our EU-related activities. ECMWF is internationally recognised as the voice of expertise in Numerical Weather Predictions for forecasts and climate science.
www.ecmwf.int