369829 Operational MADIS (Meteorological Assimilation Data Ingest System) Current Functionality and Planned Enhancements

Tuesday, 14 January 2020
Hall B1 (Boston Convention and Exhibition Center)
Greg Pratt, OAR, Boulder, CO; and L. Benjamin

The Meteorological Assimilation Data Ingest System (MADIS) has been owned and operated by the National Weather Service’s National Centers for Environmental Prediction (NCEP) Central Operations (NCO) as part of the NWS’ Office of Dissemination’s Integrated Dissemination Program (IDP) since January 21, 2015. MADIS was jointly developed by The National Oceanic and Atmospheric Administration’s (NOAA) Office of Atmospheric Research (OAR) and the National Weather Service (NWS). MADIS was designed to extend NOAA’s observational assets by leveraging partnerships with non-NOAA entities such as international agencies; federal, state, and local agencies (e.g. state Departments of Transportation); universities; volunteer networks; and the private sector (e.g. airlines, railroads).

MADIS has been a crucial data delivery system for the National Weather Service’s (NWS) Weather Forecast Offices (WFO) for many years. On a daily basis, NWS forecasters and many other users utilize MADIS data to refine and improve information to protect life and property. MADIS is an essential capability allowing NOAA to collect and identify high quality observations which form the foundation of NOAA’s Numerical Weather Prediction (NWP) digital analysis and verification processes. Operational access to these data is essential in enhancing forecaster situational awareness, thereby extending warning lead-times and for aiding in the establishment of a `Warn-on-Forecast` capability within the NWS. MADIS’ centralized data acquisition reduces the cost of operations for NWS WFOs, which would otherwise be required to individually, and often redundantly, collect observations locally. By assimilating private sector as well as government purchased observations, MADIS saves NOAA the costs of new observing systems and the cost of maintenance. MADIS enhances Numerical Weather Prediction (NWP) by improving the quality, quantity, and temporal frequency of observations available to NWS global and regional data assimilation and modeling systems. MADIS data is also used outside of the NWS. The FAA requires MADIS data in order to fulfill its Next Generation Services requirements. MADIS data is used by other government agencies such as the Department of Defense (DOD), Department of Transportation (DOT), other research organizations, the private sector, and the general public.

This poster presentation will provide information on current MADIS functionality and scheduled improvements to operational MADIS for FY2020 and beyond.

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