1. Adoption of RDA-DFT Terminology and Data Model to the Description and Structuring of Atmospheric Data Aaron Addison, Rudolf Husar, Cynthia Hudson-Vitale

2. Background DataFed & the Air Quality Community Catalog Problem Addressed Facilitate data interoperability Extend data discovery to non-domain researchers

3. RDA Data Foundation and Terminology (DFT) Data Foundation & Terminology WG

4. RDA Data Foundation and Terminology (DFT) Adoption plan ●Map DFT model to DataFed/AQ Com Cat data model ●Assess potential RDA/DFT compliance ●Real-world evaluation of outcome

5. RDA Data Foundation and Terminology (DFT) Adoption Activities & Timeline: TrainingOngoing Draft DataFed data model and inventory terms and evaluate existence of PID’sMarch Virtual ServerMarch Mirror site of AQComCatMarch User testingMarch Compare DFT model to DataFed data modelMarch/April Create/assign PID’s to AQComCatApril Reboot AQCom CatMay Add new datasource to AQComCat - test understandability of terms with data suppliers.June Conduct post-DFT implementation usability of AQComCatJuly Publish paper/report on findingsAugust

6. RDA Data Foundation and Terminology (DFT) Adoption Outcomes ●Report on usability of RDA DFT model ●Assess fit of the RDA DFT model to DataFed data model ●Evaluate improved discoverability/reuse ●Engage with Data Foundation and Terminology Working Group

7. Thank you!

8. RDA - Project RDA- Compliant Catalog Current Catalog DTR Adopt, Refine RDU products

9. Interaction with RDA Groups DTR Data Type Registries WG (Register Types) PID Information Types WG (Get PID ??) DFT Data Foundation and Terminology WG (Data Model…?) DFData Fabric IG (DataFed Use Case?)

10. Data Type Registry for Sharing and Reuse We will use the RDA Type registry (L. Lannom) Registry needs to be federated… e.g. with GCMD registry

11. What is Data Typing? Data ‘typing’ is the characterization of data structure, contexts, assumptions and other info needed to describe and understand the data. The ‘types’ need to be: Defined and understood by data producers and consumers Types should have multiple levels/granularity –single observation to data sets..(how??) Each type is to have a PID Permanently associated with the data they describe Standardized (OGC, ISO), unique (PID), and discoverable (TypeRegistry?) Data typing should aid the discovery, understanding, sharing and reuse of data.. across domains Automated processing of large data collections is a necessity Which requires a machine readable types, i.e. a clear data model for typing (clarify ???) ‘Composability’: lower level/base types can form more complex composite types (how???)

12. Global Change Master Directory (GCMD) Extensive collection of keywords and UUID’s; Possible use for ‘Types’ Do we combine it with AQ ComCat Types? Any other registries to federate?GCMD The GCMD/IDN release Version 8.1 of the GCMD/IDN Science Keywords. RESTFul service (API), is also available. Keyword List:GCMD/IDN Science Keywordsservice (API),Keyword List Science and Services Keywords: Category, Topic, Term, Variable, Level, Detailed, Variable, UUID Other ‘Types’ (Some are useful – to be defined formally, ID-d, in RDU Type registry : Data Centers, Projects, Instruments, Platforms, Locations, Horizontal Resolution, Vertical Resolution, Temporal Resolution, URL Content Types

13. Project Outputs and Outcomes, Next Steps Outputs: Develop a data model for suitable for describing atmospheric data Identify basic and composite types for atmospheric data Register these types in DTR Attach ‘types’ to data in DataFed Type-based search interface to DataFed data. Outcomes Real-world testing of Typing concepts and Registry Understanding of domain-specific issues and approaches, lessons learned Interaction with multiple RDU Groups … contribution to Data Fabric Recommendations for next phase Next steps outlined ???

14. ToDo’ s Combine AQComCat, GCMD, Other ‘keywords’/facets/ Formally define ‘RDU Types – Names, descriptions’, Get PIDs Check, reconcile types with concepts of DTR, PID, DFT WGs – is it OK? Register Types in Type Registry Incorporate Type-based metadata into AQComCat Test catalog usability before, after

15. Climate & Forecast Conventions GCMD Instruments GCMD Platform GCMD Temporal Resolutions GCMD Science & Services

16. ToDo’s See what facets are available on RDA DTR Space/time domains Map a few GCMD and CF Standard Names to RDA DTR – see how it would work Understand where/how the DTR fits into the XML schema It is schema based? How are people linking the DTR and the data type in the metadata? Validator for DTR? How is the DTR machine readable?

17. RDA: Data Type Registry Potentially useful types for AQComCat: Date Sensor Data Spatial Bounding Box GPS Coordinate

18. CGMD Terms Aerosol Terms: "EARTH SCIENCE","ATMOSPHERE","AEROSOLS","","","","","2e5a401b-1507-4f57-82b8-36557c13b154" "EARTH SCIENCE","ATMOSPHERE”,"AEROSOLS","AEROSOL BACKSCATTER","","","","f795b88f-1aba-4548-97f6-7b587e8ba451” "EARTH SCIENCE","ATMOSPHERE","AEROSOLS","AEROSOL EXTINCTION","","","","40633fe2-5b32-4bdc-a17b-b1cfebc01ae7" EARTH SCIENCE","ATMOSPHERE","AEROSOLS","AEROSOL FORWARD SCATTER","","","","449e2e03-8efd-42b6-8152-3602e4bab21d” "EARTH SCIENCE","ATMOSPHERE","AEROSOLS","AEROSOL OPTICAL DEPTH/THICKNESS","","","","61c3b720-abc8-4430-866c- f1da35d2cd0b" "EARTH SCIENCE","ATMOSPHERE","AEROSOLS","AEROSOL OPTICAL DEPTH/THICKNESS","ANGSTROM EXPONENT","","","6e7306a1-79a5-482e-b646-74b75a1eaa48” "EARTH SCIENCE","ATMOSPHERE","AEROSOLS","AEROSOL PARTICLE PROPERTIES","","","","02ea239e-4bca-4fda-ab87- be12c723c30a” "EARTH SCIENCE","ATMOSPHERE","AEROSOLS","AEROSOL RADIANCE","","","","7db9eab3-4c7a-4471-a826-a306f178ad3e" "EARTH SCIENCE","ATMOSPHERE","AEROSOLS","CARBONACEOUS AEROSOLS","","","","527f637c-aea5-4519-9293-d57e10a76bff" "EARTH SCIENCE","ATMOSPHERE","AEROSOLS","CLOUD CONDENSATION NUCLEI","","","","27478148-b4b6-4c89-8829-08d2ee7bfe10" "EARTH SCIENCE","ATMOSPHERE","AEROSOLS","DUST/ASH/SMOKE","","","","1b6342c6-315b-4f4f-b4e3-d6902aaa3e85" "EARTH SCIENCE","ATMOSPHERE","AEROSOLS","NITRATE PARTICLES","","","","768cfa32-003d-47bd-ab3a-3e27e4ec2699" "EARTH SCIENCE","ATMOSPHERE","AEROSOLS","ORGANIC PARTICLES","","","","8929113a-ded5-4c39-b20f-7968ed114317" "EARTH SCIENCE","ATMOSPHERE","AEROSOLS","PARTICULATE MATTER","","","","548a3f85-bf22-473b-b641-45c32d9c6a0c" "EARTH SCIENCE","ATMOSPHERE","AEROSOLS","SULFATE PARTICLES","","","","ca71b02b-4446-414c-8697-0950d7382cc4"

19. RDA: DTR Fields http://typeregistry.org Name: Aerosol Description: a branch of atmospheric earth science Applicable Standard or recommendation: GCMD keyword & UUID Provenance: who created the record Expected use: aerosol datatypes Representations and Semantics: Expression: [Format, Character Set, Encoding, Measurement Unit] Value: particles Properties: Earth Science>Atmosphere Experimental/Relationship Questions: Should this be built hierarchically – such that a record for “earth science” – then “atmosphere” – then “aerosol” should be created? How will we create definitions for the GCMD terms?

20. CF Definition for AQComCat: Angstrom angstrom_exponent_of_ambient_aerosol_in_air alias: aerosol_angstrom_exponent The "Angstrom exponent" appears in the formula relating aerosol optical thickness to the wavelength of incident radiation: T(lambda) = T(lambda0) * [lambda/lambda0] ** (-1 * alpha) where alpha is the Angstrom exponent, lambda is the wavelength of incident radiation, lambda0 is a reference wavelength, T(lambda) and T(lambda0) are the values of aerosol optical thickness at wavelengths lambda and lambda0, respectively. "Aerosol" means the system of suspended liquid or solid particles in air (except cloud droplets) and their carrier gas, the air itself. "Ambient_aerosol" means that the aerosol is measured or modelled at the ambient state of pressure, temperature and relative humidity that exists in its immediate environment. "Ambient aerosol particles" are aerosol particles that have taken up ambient water through hygroscopic growth. The extent of hygroscopic growth depends on the relative humidity and the composition of the particles. To specify the relative humidity and temperature at which the quantity described by the standard name applies, provide scalar coordinate variables with standard names of "relative_humidity" and "air_temperature".

21. RDA: DTR Fields http://typeregistry.org Name: Angstrom Description: alias: aerosol_angstrom_exponent The "Angstrom exponent" appears in the formula relating aerosol optical thickness to the wavelength of incident radiation: T(lambda) = T(lambda0) * [lambda/lambda0] ** (-1 * alpha) where alpha is the Angstrom exponent, lambda is the wavelength of incident radiation, lambda0 is a reference wavelength, T(lambda) and T(lambda0) are the values of aerosol optical thickness at wavelengths lambda and lambda0, respectively. "Aerosol" means the system of suspended liquid or solid particles in air (except cloud droplets) and their carrier gas, the air itself. "Ambient_aerosol" means that the aerosol is measured or modelled at the ambient state of pressure, temperature and relative humidity that exists in its immediate environment. "Ambient aerosol particles" are aerosol particles that have taken up ambient water through hygroscopic growth. The extent of hygroscopic growth depends on the relative humidity and the composition of the particles. To specify the relative humidity and temperature at which the quantity described by the standard name applies, provide scalar coordinate variables with standard names of "relative_humidity" and "air_temperature". Applicable Standard or recommendation: CF Convention Provenance: who created the record Expected use:aerosol optical thickness Representations and Semantics: Expression: [Format, Character Set, Encoding, Measurement Unit] Value: particles Experimental/Relationship

22. CF & AQComCat Aerosol Optical Depth = no term found Aerosol Optical Thickness = no CF term found; but: http://disc.sci.gsfc.nasa.gov/data-holdings/PIP/aerosol_optical_thickness_or_depth.shtml Ozone = many CF terms found Particulate matter = no term found