The IMS Model Suite provides a composition of modern models and technologies for meteorology, hydrology, radiation and air quality. IMS4 Model Suite is an integrated, easy-to-use powerful system for modeling, processing, visualization and model validation.

IMS Model Suite is a complex system for supporting forecasters as well as crisis managers. It is designed from regular daily forecasting purposes, to emergency crisis regime. The decision system consists of several models and tools:
  • Numerical Weather Prediction
  • Nowcasting
  • Dispersion Model
  • Road Condition Model
  • Fog Prediction
  • HI-RESS Gaussian Model
  • Wave Model
  • Dust/Sand Dispersion Mode
  • Nuclear Accident Module
  • Model Validation Tools
  • High Performance Computing
  • Basic and Advanced Training, Support, System

IMS Model Suite Post-Processing uses 2 approaches:

Model Output Statistics IMS Model Suite MOS

MOS (Model Output Statistics) is a computational post-processing scheme applied to the output of a numerical weather prediction model. It is an objective weather forecasting technique.
IMS Model Suite MOS applies 2 kinds of methods:
  • Statistical (linear)
  • Data mining (machine learning)

IMS Model Suite Ensemble-MOS

Centers such as ECMWF, NCEP, UK Met Office and others produce also ensemble forecasts and publish them (free or charged) in form of GRIB files. FM 92 GRIB format editions 1 and 2 are defined by standard of WMO (WMO No. 306) and are read by MicroStep-MIS decoders.

IMS Model Suite Ensemble-MOS utilizes the advantages of ensemble forecasts and calibrates them using past forecast error, as IMS Model Suite does for deterministic forecasts in the MOS process.