Forecasted freezing level height from the numerical weather prediction model HARMONIE-AROME

Dataset

Description

Dataset of forecasted freezing level height from the numerical weather prediction model HARMONIE-AROME cycle 38, as of 3 April 2018 cycle 40. HARMONIE-AROME is a non-hydrostatic regional numerical weather prediction model used operationally at the Royal Netherlands Meteorological Institute (KNMI) and various other European weather centers. At KNMI, the HARMONIE-AROME model operates at 2.5 times 2.5 km horizontal resolution and 65 vertical levels, and 48-hour long forecasts are initiated every three hours. A subset of the full output was archived on model-levels for a 300 times 300 cell domain covering part of the full 800 times 800 cell simulation domain. For each cell and simulation output time-step, the freezing level height was determined by scanning from the top of the atmosphere downwards to the first level for which the temperature reached 273.15K. The subset covers the Netherlands and surroundings, coinciding with the coverage of the two KNMI ground-based weather radars. This dataset has been employed for a study on rainfall-induced attenuation correction for two dual-pol C-band radars in the Netherlands, for which a paper is in preparation. For this, HARMONIE data which would have been available in real-time for coupling with real-time 5-min radar data were obtained, resulting in the selection of the forecasts with +2, +3, +4 or +5 h lead time, being available every 3 h (32 files per day). The HARMONIE data allow for distinguishing between rain and other types of precipitation. This dataset may also be useful for other (radar) applications.
Date made available27 May 2020
PublisherWageningen University & Research
Geographical coverageThe Netherlands and surroundings

Cite this

Overeem, A. (Creator), de Vries, H. (Creator) (27 May 2020). Forecasted freezing level height from the numerical weather prediction model HARMONIE-AROME. Wageningen University & Research. 10.4121/uuid:b5ad2400-e7b3-43f8-8b82-ddde877ff3ee