My role in project

Main author, developer and maintainer.


You may find a PDF version of it in the repository.


Many meteorological processors exist, and a lot of them can be downloaded from Internet for free. However, they have one thing in common: they start from "readily available meteorological data", namely measurements of wind from mechanical anemometers, temperature and relative humidity by an electronic thermo-hygrometer, and the like. Once they are presented all this "old style data", they process them and produce the outputs desired from them.

In most cases, these desired data include turbulence parameters, which are estimated usually employing a van Ulden - Holtslag scheme.

If an ultrasonic anemometer is available, these parameters can be obtained directly from eddy covariance and surface layer similarity: why, then, estimating them?

The problem is, extant met processors cannot do this. But our ST-Me was designed from scratch to use these advanced data, if available (if not, it degrades to the usual van Ulden - Holtslag scheme). The same can be said of SODAR and SODAR/RASS data: if these are available, they're used. Otherwise, they are estimated using surface layer similarity.

ST-Me is also model-flexible: it supports natively the most diffused dispersion models. And would a format not being yet available, we'll add it on customer request: we wrote the processor in-house, and we control it completely.

If you are interested in using the ST-Me, I anticipate Servizi Territorio srl will submit you a non-disclosure agreement: after that, cooperation may start, with source-level access.

Notice however ST-Me is not an open-source manufact, and its use occurs within a paid contract.

ST-Me, the ultrasonic anemometer and SODAR(/RASS) aware meteorological processor