This website uses cookies. Read about how we use cookies. OK

most recent model run

New     Temperature
New     Cluster GFS ENS
New     Precipitation
New     Cloud Forecast P

Archive - KNMI - HARMONIE-AROME - Surface wind P

Base Time
Day Month Year
Fr 21.01 01 UTC

Surface wind KNMI - HARMONIE-AROME Model


HARMONIE 40(HARMONIE-AROME Cy40) from the Netherland Weather Service

4 times per day, from 06:00, 12:00, 18:00, and 00:00 UTC
Greenwich Mean Time:
12:00 UTC = 13:00 BST
0.05° x 0.05°
Wind 10 meters above the ground
This chart displays the modeled average wind vector in 10 m above the ground for every grid point of the model (ca. every 80 km). In general, the actual observed wind velocity at 10 m above ground is a little bit lower than the modeled one. However, usually the computed wind velocity is pretty close to the reality. Therefore this chart is very useful for sailors, gliders, hang gliders and balloon pilots. (wind-converter)
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)]
Numerical weather prediction uses current weather conditions as input into mathematical models of the atmosphere to predict the weather. Although the first efforts to accomplish this were done in the 1920s, it wasn't until the advent of the computer and computer simulation that it was feasible to do in real-time. Manipulating the huge datasets and performing the complex calculations necessary to do this on a resolution fine enough to make the results useful requires the use of some of the most powerful supercomputers in the world. A number of forecast models, both global and regional in scale, are run to help create forecasts for nations worldwide. Use of model ensemble forecasts helps to define the forecast uncertainty and extend weather forecasting farther into the future than would otherwise be possible.

Wikipedia, Numerical weather prediction, of Feb. 9, 2010, 20:50 UTC).
Surface wind Harmonie Fr 21.01.2022 01 UTC
Mouseover effect
available (previous base)     
not available