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Weather forecast

Meteologix AG operates and purchases 30 leading weather models, including the world-renowned model from the European Center for Medium-Range Weather Forecast (ECMWF). In addition, we operate our in-house weather modelSwiss SuperHD with significantly higher spatial resolution.  


Our in-house SwissHD 1x1km model

With its experienced weather model experts, Kachelmann GmbH has developed its own unique weather model. At 1x1km, it has a higher resolution than comparable operational weather models, so that mountains, valleys, urban areas, large cities and sections of coast, for example, are resolved in detail and the forecast quality is significantly increased. The weather model can be set up and calculated by our experts for any area of the world. In addition to Central Europe, we have already set up various example areas, including California, Greater Manila and the Himalayas around Mount Everest. If you are interested, please contact us.

Why such a high spatial resolution?

With a finer resolution, small-scale terrain details (e.g. in mountainous regions) can be included much better in the forecast (see the comparisons below). On the other hand, the dynamic processes are reproduced in more detail and closer to reality. Coupled with the expertise of our model developers to always keep the model physics up to date with the latest research, Swiss HD clearly stands out from all competing models in terms of quality.


GFS (Global Forecast System)

GFS high clouds forecast

Actual satellite image

Model comparison:

GFS (Global Forecast System) & Swiss HD (Kachelmann Group)

The high resolution of the Swiss HD is not only noticeable in mountainous terrain. The physical processes from thunderstorm clusters and storms to typhoons and hurricanes can also be reproduced better. In this way, the smallest structures and the dynamic development become recognizable.

Sample Forecast Parameters: High Clouds during Super Typhoon Nock-Ten in the Philippines:

Swiss HD (Kachelmann Group)

Super HD in other areas of the world

In addition to our core area of Central Europe, SwissHD has already been set up for many other areas, including Southern California, for example.


Our tests of the model there were enthusiastically received by meteorologists and storm chasers internationally and have since been used, observed and discussed in social media, especially among American colleagues. 



(City Stink Index)



(cloud top temperature)


United Arab. Emirates

(Dew point)






(max. radar reflectivity)



(gusts of wind)



(cloud forecast)


Northern California

(significant weather)


Southern California (shortwave radiation)


new england

(sunshine duration)



(max. temp., 6h)


British Columbia



14-day trend

With our 14-day trend you can get a quick overview of how the weather will continue over the next two weeks. For the compact representation of the weather trend, we analyze the forecast data of a large number of models, including the ensembles from ECMWF, the ICON model range, GFS and GEM. In addition, the two in-house multi-models for Central Europe (up to +3 days) and for the whole world (up to +10 days), each containing the main runs of all common weather models.


XL prediction

In the XL prediction, multiple computer models are compared for different metrics. The various curves and lines show how reliable a forecast is at a certain point in time. If the curves remain close together, there is an increased probability that the prediction will come true. 


Special cards: solar power potential

Since we operate our own models and have many years of expertise in modeling, we can also develop special model maps, such as energy parameters (solar power potential, heating degree days, wind power potential onshore and offshore, etc.) or agricultural parameters (soil moisture, heat stress, etc .)

Screenshot 2022-10-15 at 14.03.19.png

Heat maps

In the heatmaps, the individual members of the ensembles of the various weather models are listed in color in a diagram. You have all members for each appointment at a glance and can get an overview of certain probabilities. Choose between the various parameters (depending on the weather model) such as temperature, precipitation, wind or air pressure. 

Any questions? 

Contact us! We look forward to your inquiry!

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