MADIS – The Meteorological Assimilation Data Ingest SystemCurrent Operational Status and Future Plans
Greg Pratt, Leon Benjamin, Thomas Kent, Gopa Padmanabhan, Leigh Cheatwood-Harris, and Michael VrencurNOAA/Oceanic and Atmospheric Research/Earth System Research Laboratory/Global Systems Division
Steven Pritchett, Michelle Mainelli, Luis Cano, Cameron Shelton, Scott Jacobs, and Rebecca CosgroveNOAA/National Weather Service/Office of Science and Technology & National Centers for Environmental Prediction
Drew Saunders and Philip JonesNOAA/National Environmental Satellite, Data and Information Service/National Climate Data Center
MADIS GoalA more usable, complete, accurate, timely, and higher density observational infrastructure for use in local weather warnings and products, numerical weather prediction, and use by the greater meteorological community.
MADIS Provides• Access to real-time and archived data sets• Uniform data formats, observation units, and time stamps• Observational Quality Control (QC)• Network-enabled distribution with server-site sub-setting• Authorization and authentication for proprietary data• User documentation and help desk support
NOAA MissionNOAA’s mission, “To understand and predict changes in climate, weather, oceans, and coasts; To share that information with others”, increasingly demands advanced data management processes, including data integration, to achieve interoperable, accessible, and readily usable observational data.
MADIS Data Scope• 66,127 stations from over 160 surface networks
producing nearly 13 million observations per day• 116 Profiler sites (>200,000 observations per day)• >630,000 aircraft observations per day• Plus global radiosonde and satellite observations
MADIS Data Sets
MADIS observations covering North America
MADIS FY15 and Future Plans
Additional data sets – (FAA 1 minute ASOS, Clarus, Sensing Hazards with Operational Unmanned Technology (SHOUT),…)
Advanced data query and web services Improved data/metadata standards Improved QC and station monitoring Open source development environment Extend QC algorithms to meet operational and
research needs
• Work with Federal Highway Administration Clarus team to fully transition Clarus capabilities into MADIS operations
• FAA NextGen/NWS AWIPS data discovery/dissemination capable
• Conduit for efficient transfer of research and development to operations
MADIS Final Operating Capability
The MADIS system is currently undergoing a 30 day acceptance test at NCEP’s Central Operations (NCO) and
NCDC. Operational sign off scheduled for 01/21/2015. https://madis.ncep.noaa.gov/
MADIS Users Include…• International
meteorological centers
• >200 universities• Public
• NWS Forecast Offices and National Centers
• OAR, NESDIS, NOS• NCAR, NASA, DOE, FAA, DOT• Hundreds of private companies
MADIS Distribution Serviceshttps://madis.ncep.noaa.gov/user_resources.shtml
Meteorological Surface Temperatures
Available Observations
Surface
Aircraft
Radiosonde
Profiler
GOES Satellite
POES Satellite
Radiometer
-
-
-
-
-
-
-
+o
X
P
R
The MADIS Team
NWS/OST&NCEP
Operations
NESDIS/NCDC
Archive
OAR/ESRL/GSD
R&D/Tier 3 Support/Conduit to Operations
Non-NOAA Providers
Observations and Metadatahttps://madis.ncep.noaa.gov/network_info.shtml
Non-NOAA Data Setshttps://madis.ncep.noaa.gov/madis_datasets.shtml
Surface Profiler
RadiometerAircraft Radiosonde
Snow
Graphical:•Meteorological Surface
– https://madis-data.ncep.noaa.gov/MadisSurface/
•Aircraft– http://amdar.noaa.gov/java/
•Profiler– https://madis-data.ncep.noaa.gov/cap/
Text/XML/CSV Dumps:•Meteorological Surface
– https://madis-data.ncep.noaa.gov/public/sfcdump.html
•Hydrological Surface– https://madis-data.ncep.noaa.gov/public/hydrodump.html
Meteorological Surface
Data Query Form
Text Output from Meteorological Data Query
Users can pull MADIS data into their applications using the MADIS application interface:https://madis.ncep.noaa.gov/madis_api.shtml