One of the requirements for meteorological support to Army Research, Development, Test and Evaluation (RDT&E) Meteorology program at eight Army ranges across the United States is to collect, archive, and distribute meso and micro-scale meteorological data in support of material testing at these facilities. Data sets include measurements from spatially dense networks of surface weather stations, field mills, sonic anemometers, sodars, wind profilers, rawinsondes, and other instrumentation. Timely management and integration of these data are critical for real time modeling (initialization of mesoscale numerical weather prediction models, sound propagation for artillery, mortar, and explosive tests, and dispersion of military smoke and obscurants, etc.). Additionally, climatology studies require long historical records of these data. The Army RDT&E Meteorological Architecture for Data Archival (ARMADA) was developed to meet the need for increasing data volume, near real time distribution, and automated quality control. The primary objective of ARMADA is to collect and archive current and historical Army Test and Evaluation Command meteorological data and metadata into a centralized repository to allow remote system access via the local area network. ARMADA adheres to the Climate and Forecast convention and International Standard of Units to organize labels and units. Its architecture design has the capability of relating data with metadata while maintaining quality control flags. This paper will discuss the migration of hodgepodge text files and databases to ARMADA, and improvements in meteorological support by improving data timeliness, reliability, and quality.