Vacancy No.: VN19-44
Job Ref. No.: STF-PL/19-44
Reports to: Team Leader – Forecast Performance and Products
Publication Date: 24 October 2019
Closing Date: 12 December 2019
ECMWF is both a research institute and a 24/7 operational service, producing and disseminating numerical weather predictions to its Member States. ECMWF carries out scientific and technical research directed to the improvement of its forecasts, collects and processes large amounts of observations, and manages a long-term archive of meteorological data. Satellite and in situ observations provide the information for up-to-date global analyses and climate reanalyses of the atmosphere, ocean and land surface.
For details, see www.ecmwf.int/
This position sits within the Forecast Performance Monitoring and Products team, within the Evaluation Section of the Forecast Department. To ensure its extended range and re-analysis products provide maximum benefit to society, ECMWF is exploring new ways in which postprocessing can deliver added value for users. The successful candidate will test and explore a system to deliver improved probabilistic products for rainfall and temperature, for both extended range forecasts (in real-time), and for the ERA5 re-analysis (for 1950 to the present day). This will be achieved by applying a new downscaling technique (called “ecPoint”) to raw model output from ECMWF. The geographical focal point will be Italy, although global output will ultimately be provided.
This role is funded by the EU-financed HIGHLANDER project (HIGH performance computing to support smart LAND sERvices) (from call: “CEF-TC-2018-5 - Public Open Data”). The overarching objective of the ECMWF component of HIGHLANDER is to deliver societal benefits by improving probabilistic re-analysis and extended range predictions, and by delivering those predictions to the agricultural and land-use management sectors in real time. A key project resource is the CINECA supercomputing centre in Bologna, and the developed software will be run on this platform. There is an overlap with the ongoing EU-funded MISTRAL project. This also uses ecPoint for postprocessing, but focusses on shorter ranges and targets improved flash flood prediction.
Activities will have three main components: (i) research and development that optimises ecPoint calibration for the agricultural and land-use management needs for the target domain, (ii) adaptation of pre-existing “ecPoint-rainfall” post-processing to apply to the differently-structured extended range and re-analysis model output, (iii) creation of new post-processed “ecPoint-temperature” output and (iv) operationalization of the production chain on the CINECA HPC facility, building on ECMWF experience using this during MISTRAL, and supporting a sustainable future beyond the project end date of 30 September 2022. The post-holder will be expected to work closely with HIGHLANDER project partners in Italy to understand the needs of customers, and to tailor and blend the output accordingly.
A university degree, or equivalent, in a discipline closely related to meteorology, physics or mathematics is required.
Knowledge and skills (including language)
The successful candidate will be recruited at the A2 grade, according to the scales of the Coordinated Organisations and the annual basic salary will be £ 59,228.40 net of tax. This position is assigned to the employment category STF-PL as defined in the Staff Regulations.
Full details of salary scales and allowances are available on the ECMWF website at www.ecmwf.int/en/about/jobs, including the Centre’s Staff Regulations regarding the terms and conditions of employment.
Starting date: 1 April 2020, or as soon as possible thereafter.
Length of contract: 25 months.
Location: The position will be based in the Reading area, in Berkshire, United Kingdom.
Interviews for this position are expected to take place in Reading, Berkshire week commencing 3rd February 2020.
Please apply by completing the online application form available at www.ecmwf.int/en/about/jobs.
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At ECMWF, we consider an inclusive environment as key for our success. We are dedicated to ensuring a workplace that embraces diversity and provides equal opportunities for all, without distinction as to race, gender, age, marital status, social status, disability, sexual orientation, religion, personality, ethnicity and culture. We value the benefits derived from a diverse workforce and are committed to having staff that reflect the diversity of the countries that are part of our community, in an environment that nurtures equality and inclusion.
Applications are invited from nationals from ECMWF Member States and Co-operating States, listed below, and all EU Member States.
Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Hungary, Germany, Greece, Iceland, Ireland, Israel, Italy, Latvia, Lithuania, Luxembourg, Montenegro, Morocco, the Netherlands, North Macedonia, Norway, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom.
Applications from nationals from other countries may be considered in exceptional cases.Continue reading
|Title||Scientist - Post-processing to improve surface weather forecasts|
|Job location||Shinfield Park, RG2 9AX Reading|
|Published||October 31, 2019|
|Application deadline||December 12, 2019|
|Job types||Researcher,   Other  |
|Fields||Geography,   Agronomy,   Meteorology,   Agricultural Economics,   Atmospheric Sciences,   Hydrology,   Remote Sensing  |