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MADIS web services in support of NextGen
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Assimilation Data Ingest System) into NWS operations to help improve
performance for a wide-variety of service applications including the
reduction of the nation's losses of life, property, and commerce
caused by severe storms, drought, local high-impact weather, and toxic
atmospheric plumes. MADIS supports these services areas by 1)
improving the density, usability, reliability, timeliness, and
accuracy of integrated surface and upper air observations used in
local weather warning, model predictions, and hazardous situations,
and 2) providing products in more easily accessible and usable formats
that the federal government, industry, and society can better use to
reduce risk and uncertainty, lower costs, and improve public safety
and security. MADIS is also included in NOAA and FAA plans to provide
observation capabilities for the Initial Operating Capability of the
NextGen 4-D Weather Information Database (WIDB).
Existing MADIS system capabilities include:
- Flexible web-enabled data access methodologies
- Integrated observational data with uniform formats and time stamps
- Continuous database updates triggered by arriving observations
- Increased observation data density and temporal resolution
- Seamless access to real-time and saved datasets
- Tiered observation quality control processing
- Web-enabled push/pull distribution capabilities, with server-side
subsetting capabilities
- Secure authentication for proprietary data
- On-the-fly, flexible, variable transformations and data reformatting
The advantage of using MADIS to implement advanced web services for
NextGen is the opportunity for a direct path into NWS operations,
providing efficient, cost-effective, access to a broad cross-section
of mission-critical information with core expertise in sub-orbital in
situ and remotely sensed environmental observations.
This paper will report on the recent addition of a Joint METOC Broker
Language (JMBL) service for surface observations to the set of web
services offered by MADIS, and present a gap analysis comparing the
pre-existing MADIS web service subsetting capabilities with those
offered by JBML services. Future work will focus in the near-term on
implementing an Open Geospatial Consortium (OGC) Web Feature Service
(WFS) for surface observations, and will include an analysis comparing
JMBL and WFS capabilities. Longer term plans include providing
additional observation datasets in the primary data transfer language
selected for the WIDB.