A Generalized Method for Vertical Profiles of Mean Layer Values of Meteorological Variables

In the first decade of this century, numerical weather prediction (NWP) models were first used in an artillery meteorological (MET) system to produce MET messages. The development and testing of the new system required a means to generate MET messages from the NWP model output and produce the same types of messages from radiosonde-based data for test purposes. The Army has fielded 2 major upgrades since that first system, but the message generation methodology has remained much the same. The US Army Research Laboratory (ARL) developed and continues to update a generalized method to produce the several message types as well one or more user-defined messages. In its current form, the software can ingest from 2 to as many as 4000 observations, and can produce a vertical profile of nearly 4000 integrated mean layer values from the surface to the highest level of the height structure of the message. In this report, the primary methods are presented along with the major program routines in pseudo code and text, and samples of the input and output.