The Innovative Weather Delivery Systems Section prototypes and implements weather ingest, integration, quality control, and delivery systems designed to improve operational decision-making.
MADIS Research is dedicated to enhancing operational MADIS through improvements to ingest, data integration, quality control, and data distribution as well as providing Tier 3 support for the operational MADIS system.
The Mesoscale Analysis and Prediction System (MAPS) Surface Assimilation System (MSAS) is a MADIS surface analysis package that provides unmatched temporal and spatial resolution of in-situ surface observations that is used operationally by NWS forecasters.
The Data Provider Agent (DPA) is a key component of the National Weather Service (NWS) Advanced Weather Interactive Processing System (AWIPS) Technology Infusion Extended Data Delivery effort designed to standardize discovery and delivery of atmospheric data.
The Next Generation Information Technology Web Services (NGITWS) project endeavors to make NWS weather and metadata discoverable and standardized for automated machine-to-machine readability and use via the Open Geospatial Consortium (OGC) standards, which are also utilized for the MADIS DPA project.
The Geo-Targeted Alerting System (GTAS) project was a prototype implementation of the latest developments in plume modeling, high resolution weather models, and network enabled operations to provide shared situational awareness of high-impact toxic plume events with emergency managers working with NWS forecasters).
NOAA's Unmanned Aircraft Systems (UAS) Sensing Hazards with Operational Unmanned Technology (SHOUT) project is designed to significantly improve NOAA Numerical Weather Prediction (NWP) of high impact weather events by providing gap-filling observations as storms mature and hit land. MADIS is the pathway for providing these observations to NOAA and the greater meteorological community.
MADIS is a meteorological observational database and data delivery system that provides global observations. MADIS ingests data from NOAA and non-NOAA providers, decodes, quality controls, then stores the data using standardized observational units and time steps for ease of access by users. MADIS provides several methods for users to access the data to meet their needs.
Aircraft Based Observations (ABO) are automated weather observations collected by commercial aircraft that significantly improve National Weather Prediction (NWP) by providing gap filling vertical observations of the atmosphere. MADIS is the gatekeeper for ABO data and will soon become the International Data Center for providing ABO data to the World Meteorological Organization (WMO).
The Hydrometeorological Automated Data Sysyem (HADS)/Automated Flood and Warning Systems (AFWS) acquires hydrological and atmospheric observational data originating from Data Collection Platforms (DCP) owned and/or operated by more than 100 cooperators.
Clarus was a Federal Highway Administration (FHWA) initiative to demonstrate and evaluate the value of "Anytime, Anywhere Road Weather Information." Through collaboration with the FHWA and the NWS, the MADIS team is transitioning Clarus to MADIS operations.
The Natural Resources Conservation Service (NRCS) operates an extensive, automated system called SNOTEL (short for Snow Telemetry). SNOTEL provides a reliable, cost-effective way to collect snowpack and other meteorological data needed to produce water supply forecasts and support the resource management activities of NRCS and others.
The Citizen Weather Observer Program (CWOP) extends NOAA's surface based observational networks by partnering with private citizens who own and operate their own surface meteorological stations and freely provide the data to NOAA via MADIS.
