|From||"Barkmeijer, Jan (KNMI)" <firstname.lastname@example.org>|
|Date||Thu, 14 May 2020 10:42:50 +0000|
At the Royal Netherlands Meteorological Institute (KNMI) a position as Scientist becomes available to participate in the development of a high-resolution ensemble.
The aviation services that KNMI provides consist of operating and maintaining the meteorological infrastructure of civil controlled airports in The Netherlands, providing observations, forecasts, warnings, consultation and advisories. It also includes development and innovation to continuously improve these services. Aviation services are provided in reference periods of five years each. The third reference period (RP3) has recently started and will cover the calendar years 2020 to 2024. The activities that are part of this vacancy will be carried out in the context of the KNMI multiannual development and implementation plan for RP3. The emphasis of the work is on improving our weather forecasts for low clouds, poor visibility and strong wind. These are weather conditions strongly and negatively influencing aviation.
Within the European consortium HIRLAM (www.hirlam.org), KNMI is contributing to research and development of the limited-area and convection-permitting weather model HARMONIE-AROME. Because of the limited predictability of the atmosphere, multiple runs are performed with that model by perturbing the initial atmospheric condition and the physical parameterizations, resulting in an ensemble of forecasts. There is a need to improve these forecasts for models operating at such a high resolution in order to give useful warnings for extreme weather events. The construction of the ensemble forecasting system HarmonEPS focusing on the short-range and based on the HARMONIE-AROME model is therefore an important area of current research.
You will contribute to the development of HarmonEPS by coming up with feasible perturbation methodologies, that account for uncertainties in, for example, the initial atmospheric condition and the description of physical processes in the forecast model. A key task will be the development of techniques that can be employed in perturbing physical parametrizations in a realistic manner. You will also play an important role in setting up a new version of the operational ensemble system HarmonEPS on the KNMI supercomputer and in developing methods to assess its performance.
For more info see:
Go to: Periods · List Information · Index by: Date (or Reverse Date), Thread, Subject or Author.