modelizacion_2_web.png Modeling


Having good observations is crucial for understanding the atmospheric phenomena. But very often, is needed to generalize the point measurements to a wider temporal or spatial domain using numerical modelling.

interMET has experience on both the two main families of simulation models:

This models buld mathematical expressions that try to simulate the observed relationships between the predictors and the predictand using a long enough time series. The main advantage of these techniques is that they can simulate very complex physical phenomena implicintly, are relatively easy to develop and have short execution times, what make ideal for simulating climagologies. On the other hand, they are sometimes black boxes that predict phenomena but do not help on understanding them, and a long time series is needed for training the model and validating.
These model simulate through mathematics the most important physical laws forcing the phenomena to be simulated. They do it in a discrete mathematical world, so there are aspects such domain and resolution that need to be carefully selected. They do not requiere very long time series for acceptable results but are complex to run and tune properly. They take more time to run than empirical models but give results in a spatial domain, usually in three dimensions.

Numercal simulation has experienced in the last years an espectacular evolution thanks to the revolution experienced by computers. Nowadays medium size computers are able to run complex simulation tools, some of tnen open source and with a comunity that make the use of these tools not very difficult for a company like interMET.

Our personnel have activelly participated in numerical simulation projects giving support on many aspects like pre-procesing of input data, scenario design, comparison with observations, algorithms development, statistical analysis, runnig code and helping in hte interpretation of the results.

Do you have a numerical simulation project?

If you have a numerical simulation project we would be willing to help you in:

Homogeneization and validation of temporal series for model development;
Processing of high volume of data comming from other models (MERRA, ECMWF, GFS).
Development of forecasting tools based on statistical or physical models..
Development of very specific models for your aplication like renewable energies, polution disperssion, weather prediction, hidrology, etc (XOQDOQ, CALMET, WindSim, WAsP, WRF, LOPM).
Skill Analysis of predictions, model intercomparisions, ensembles, etc.

If you have a numerical simulation project we would be willing to help you.

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Sistemas y Redes S.L.U.

Cea Bermúdez, 14B, 6ºC
28003 Madrid


(+34) 915 134 867


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