MeteoCogent is a configurable weather forecast generation tool,
which transforms weather data into English textual forecasts.
Input to MeteoCogent can be a time series of forecast data
from Model Output Statistics (MOS), or from some more interpreted
form using "explicit weather elements". The output can be a plain
language or coded forecast, according to a standard specified by the user.
The content and organization of reports can also be extensively
customized, allowing a wide variety of texts to be produced.
Automatic generation frees forecasters from the mechanical aspects of producing
weather reports, allowing them to concentrate on the aspects of forecasting which
most require human knowledge and intuition.
Implemented in C++/Java for portability (C++ portions currently being ported to Java).
Can be deployed in various configurations (client/server, web server, DLL).
Kittredge, Richard; and Lavoie, Benoit (1998).
MeteoCogent: A Knowledge-Based Tool For Generating Weather Forecast Texts.
In Proceedings of the American Meteorological Society AI Conference (AMS-98),
[Acrobat, 86 Kb]