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| Comprehensive Large Array-data Stewardship System | |
|---|---|
| Name | Comprehensive Large Array-data Stewardship System |
| Acronym | CLASS |
| Established | 2018 |
| Developer | National Oceanic and Atmospheric Administration |
| Country | United States |
| Discipline | Atmospheric science |
Comprehensive Large Array-data Stewardship System
The Comprehensive Large Array-data Stewardship System is an operational satellite data processing and archiving initiative developed to preserve and distribute meteorological radiance observations from geostationary and polar-orbiting platforms. Founded within the National Oceanic and Atmospheric Administration framework and coordinated with agencies such as the National Aeronautics and Space Administration, European Space Agency, and Japan Aerospace Exploration Agency, the program supports reanalysis, climate monitoring, and operational forecasting across institutions including the National Weather Service, European Centre for Medium-Range Weather Forecasts, and Naval Research Laboratory.
CLASS was created to ensure long-term stewardship of instrument-level radiance records from missions like GOES-R Series, Suomi NPP, and MetOp. It integrates archival policies from the National Archives and Records Administration, operational directives from the Office of Management and Budget, and international exchange practices from the Group on Earth Observations. Stakeholders include research centers such as NOAA National Centers for Environmental Information, NASA Goddard Space Flight Center, and universities including Massachusetts Institute of Technology, University of Colorado Boulder, and University of Reading. CLASS underpins projects like the Climate Data Record development, supports initiatives by the Committee on Earth Observation Satellites, and informs standards used by the World Meteorological Organization.
The system architecture combines scalable compute clusters from vendors like Amazon Web Services, Google Cloud Platform, and Microsoft Azure with ingest pipelines modeled on concepts from the Open Geospatial Consortium and storage frameworks like Hadoop and Ceph. Core components include instrument-specific ingest modules for sensors such as Advanced Baseline Imager, Atmospheric Infrared Sounder, and Cross-track Infrared Sounder; catalog services leveraging Apache Solr or Elasticsearch; and distribution services using protocols endorsed by Space Data Systems communities. Operational orchestration employs technologies from Kubernetes, Docker, and configuration management from Ansible and Puppet.
Data acquisition interfaces to satellite ground segments operated by agencies including NOAA Satellite and Information Service, EUMETSAT, and Indian Space Research Organisation. Ingestion workflows validate telemetry against calibration records from facilities like National Institute of Standards and Technology and time references from International Atomic Time and Global Positioning System archives. Quality control processes reference algorithms developed at National Centers for Environmental Prediction and European Organisation for the Exploitation of Meteorological Satellites laboratories, and exchange formats follow guidance from Committee on Data (CODATA) and World Meteorological Organization data conventions.
Long-term preservation employs tiered storage strategies combining disk, object storage, and tape libraries compatible with standards from Digital Preservation Coalition and International Organization for Standardization. Access mechanisms include authenticated services tied to identity providers such as ORCID, InCommon, and NASA Earthdata Login, and open delivery via portals used by USGS, Copernicus, and NOAA Big Data Program. Data packaging aligns with formats produced by projects like CF (Climate and Forecast) metadata convention and file standards used by NetCDF and HDF5 ecosystems.
Metadata schemas integrate provenance models from the W3C PROV family, conventions from the Dublin Core community, and discipline-specific descriptors from the Global Change Master Directory. Versioning and audit trails follow practices advocated by Digital Object Identifier registration agencies and are compatible with citation policies of journals such as Journal of Geophysical Research, Nature Climate Change, and Geophysical Research Letters. Interoperability is supported through engagement with International Organization for Standardization technical committees and the Open Archives Initiative.
Security controls implement guidance from the National Institute of Standards and Technology Special Publications and risk frameworks used by Federal Information Security Management Act compliance programs. Governance structures include advisory boards with representation from NOAA, NASA, EUMETSAT, United Nations agencies, and academic consortia including Consortium for Small-scale Modeling. Policy instruments reconcile data access obligations under agreements like the Freedom of Information Act and international accords such as the Paris Agreement when climate-relevant datasets are involved.
Operationalization relies on capacity planning informed by usage patterns observed at NOAA National Centers for Environmental Information, computational research at Los Alamos National Laboratory, and operational forecasting throughput at European Centre for Medium-Range Weather Forecasts. Scalability strategies employ elastic cloud bursting with partners like Amazon Web Services and community resource sharing modeled after XSEDE. Continuous integration and deployment practices draw on methodologies used at NASA Jet Propulsion Laboratory and software engineering best practices from Apache Software Foundation projects.
CLASS supports reanalysis efforts by groups such as the European Centre for Medium-Range Weather Forecasts and NOAA Physical Sciences Laboratory, enables satellite data assimilation processes used by operational centers like National Weather Service and Met Office, and contributes to climate monitoring reported to bodies like the Intergovernmental Panel on Climate Change and the World Meteorological Organization. Impact extends to industries relying on remote sensing including agriculture services, aviation operations, and maritime navigation through downstream providers like The Weather Company and Blue Skies Research-affiliated firms. Category:Earth observation