EU-Confidence Datasets

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Additional information

Borssele case studies

General documentation

External links

Backgroundinformation

EU-Confidence

Description of datasets

ECMWF

The Integrated Forecast System (IFS) is the global NWP model suite of the European Centre for Medium-Range Weather Forecasts (ECMWF).
It runs two times per day for a 10-day forecast. This consists of a 4D-var data-assimilation system, a high-resolution global forecast run (HRES) and a 51 member ensemble (ENS) at lower resolution. The output from the model is stored in the MARS archive and can be accessed for later analysis or research purposes.
IFS uses a spectral grid. The horizontal resolution of the HRES model is currently approximately 9 km; the horizontal resolution of the ENS model is approximately 18 km. HRES uses 137 layers, ENS 91 layers, both with the highest level at 1.0 Pa. The definition of the levels can be found through the Additional Information menu on the right.
Extended documentation can be found in ECMWF (2017).

HARMONIE-AROME

The non-hydrostatic convection-permitting HARMONIE-AROME model is developed in a code cooperation of the HIRLAM Consortium with Météo-France and ALADIN, and builds upon model components that have largely initially been developed in these two communities. The forecast model and analysis of HARMONIE-AROME are originally based on the AROME-France model from Météo-France (Seity et al, 2011, Brousseau et al, 2011) , but differ from the AROME-France configuration in various respects. A detailed description of the HARMONIE-AROME forecast model setup and its similarities and differences with respect to AROME-France can be found in (Bengtsson et al. 2017). [From: HIRLAM (2017)]

KNMI runs HARMONIE-AROME for a 2000x2000 km area around the Netherlands on a 2.5x2.5 km grid. The models runs every 3 hours for a 48 hour forecast. Lateral boundary conditions are taken from a special version of the Hirlam limited area model which in its turn takes its lateral boundary conditions from ECMWF. The current operational model uses 60 levels up to 1.4 Pa, see the Additional Information menu.
Model results are archived for later use.

Relevant parameters

Relevant parameters from the atmospheric models for dispersion and deposition are pressure, wind, vertical velocity, temperature, humidity, precipitation, cloud cover, sensible and latent heat flux, and boundary layer height.
The Levering RIVM page (see Algemene documentation in the menu on the right) lists in more detail the parameters which are currently supplied to RIVM from ECMWF and the Hirlam limited area model.

References

Bengtsson, L., U. Andrae, T. Aspelien, Y. Batrak, J. Calvo, W. de Rooy, E. Gleeson, B. Hansen-Sass, M. Homleid, M. Hortal, K. Ivarsson, G. Lenderink, S. Niemelä, K. Pagh Nielsen, J. Onvlee, L. Rontu, P. Samuelsson, D. Santos Muñoz, A. Subias, S. Tijm, V. Toll, X. Yang, and M. Ødegaard Køltzow (2017).
The HARMONIE-AROME model configuration in the ALADIN-HIRLAM NWP system. Mon. Wea. Rev., in press. Monthly Weather Review, 145(5):1919–1935. Available from: DOI.
Brousseau, P., Berre, L., Bouttier, F., and Desroziers, G. (2011).
Background-error covariances for a convective-scale data-assimilation system: Arome–france 3d-var. Quarterly Journal of the Royal Meteorological Society, 137(655):409–422. Available from: DOI.
ECMWF (2017).
ECMWF forecasts. Available from: ECMWF Internet.
HIRLAM (2017).
The HIRLAM homepage. Available from: hirlam.org.
Seity, Y., Brousseau, P., Malardel, S., Hello, G., Bénard, P., Bouttier, F., Lac, C., and Masson, V. (2011).
The arome-france convective-scale operational model. Monthly Weather Review, 139(3):976–991. Available from: DOI.
Hans de Vries, June 20, 2017