A update on MADIS emphasizing observations added to support advances in transportation weather
Observational datasets currently available via MADIS include radiosonde soundings, automated aircraft reports, NOAA and non-NOAA wind profilers, non-NOAA experimental microwave radiometer observations, operational and experimental GOES winds, POES soundings, and several types of surface datasets. The latter includes water vapor observations derived from signals from geo-positioning satellites (GPS) and a unique national collection of nearly 18,000 mesonet stations from local, state, and federal agencies, and private firms. MADIS has also been been tasked to contribute to the development of a national transportation mesonet consisting of integrated Road Weather Information System (RWIS) data from state Departments of Transportation (DOTs), and is playing a central role in the ingest, quality control, and distribution of Tropospheric Airborne Meteorological Data Reporting (TAMDAR) data associated with the Great Lakes Fleet Experiment.
MADIS data files are available in uniform formats with uniform QC structures within the data files. They are compatible with the NWS AWIPS systems, and with data assimilation systems such as the Weather Research and Forecasting 3D-variational (WRF 3DVAR) system. Software support is also provided for the datasets through the use of an Application Program Interface (API) that provides users with easy access to the data and QC information. The API allows each user to specify station and observation types, as well as QC choices, and domain and time boundaries. Many of the implementation details that arise in data ingest programs are automatically performed, greatly simplifying user access to the disparate datasets, and effectively integrating the database by allowing, for example, users to access many different types of surface observations (e.g. ASOS, RWIS, modernized COOP, maritime, and non-NOAA mesonets) through a single interface.
First made publicly available in July 2001, MADIS datasets have proven to be popular within the meteorological community. FSL now supports hundreds of MADIS users, including the majority of NWS forecast offices, NCDC, NCEP, and many universities and private companies. Additionally, MADIS supplies non-NOAA data providers with QC and station monitoring information which have proven useful in their maintenance activities.
This paper will cover the current status of the MADIS project, including details on how to access the MADIS datasets, API, and documentation, and will also cover future plans.