Science principles

meteoblue technology and offers are based on scientific approach, i.e. all offers are based on:

  • proven methodology: development and verification for sufficient time to enable generation of any data.
  • reproducible results: repetition of the same process generates the same results. We prove that with validations.
  • abstraction of reality : through the use of modelling, among others.
  • presentation of results: in an understandable way, so users can find and evaluate the information of interest.

Modelling

The main contribution of meteoblue to scientific and product development are the models based on the NMM (Nonhydrostatic Meso-Scale Modelling) technology, which enables the inclusion of detailed topography (meso-scale = 20-1 km; micro-scale = < 1 km), ground cover (e.g. forest, fields, rock, water) and surface cover (e.g. snow, water) as well as the initialisation (measurement data at the start of calculation) into the modelling process. 

NMM technology has been developed and used for weather forecasting in North America by NOAA, and for hurricane prediction. More recent developments include the NEMS framework (NOAA Environmental Modelling System) which has been adapted and further developed by meteoblue to allow global and regional high resolution modelling, seamless nesting for regional domains and improved cloud and precipitation schemes.

meteoblue conducts extensive research on numerical weather prediction in cooperation with universities and NOAA/NCEP. Many developments are now used in meteoblue operational forecasts, as well as in the global and regional simulation archives. 
Note that meteoblue does not use the WRF model, as it is significantly different from our own model.

Verification

Methods and models used by meteoblue are verified to ensure that the results are the best achievable representation of reality.

Validation

Where perfect reproduction of reality is not possible due to methodological or other constraints, meteoblue offers validation methods to support inter-operation and assessment of information by users.