Identifier Infrastructure Usage for Global Climate Reporting

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1 Identifier Infrastructure Usage for Global Climate Reporting IoT Week 2017, Geneva Tobias Weigel Deutsches Klimarechenzentrum (DKRZ) World Data Center for Climate (WDCC)

2 Scientific driver: Global climate modelling 2

3 Scientific driver: Global climate modelling Operational phase ca Community-driven, aligned with IPCC AR6 Global data volume in order of PB full replication impossible! Eyring, Bony, Meehl, Senior, Stevens, Stouffer, Taylor: Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geosci. Model Dev., 9, , doi: /gmd

4 The climate data life-cycle M. Lautenschlager 4

5 The Earth System Grid Federation D. Williams (LLNL); U.S. DOE th Annual Earth System Grid Federation Face-to-Face Conference Report. DOE/SC U.S. Department of Energy Office of Science 5

6 DKRZ technical infrastructure and ESGF S. Kindermann 6

7 Making it scalable requires additional effort Buurman, Weigel, Juckes, Lautenschlager, Kindermann: Persistent Identifiers for CMIP6 in the Earth System Grid Federation, EGU

8 Properties stored in Handle records for ESGF Files URL aggregation_level url_replica tracking_id checksum is_part_of DRS_ID file_size file_name Datasets URL aggregation_level replaced_by replaces errata_ids has_parts DRS_ID 8

9 Why do we care? What is the long-term strategy? Drivers Data volume, complexity, audience Compute : I/O Induced change Data life-cycle model File/object management practice Solution space Architectural layering Processing to the data: New services, cultural change Automation Insight and integrity (provenance, QC) 9

10 The users reality... 10

11 Type-Triggered Automated Processing (T-TAP) netcdf-files Collection script Agent <Metadata> (xml) Processing service (WPS)? (third-party input) output multiple types, e.g. netcdf, xml, linked data, text reports, PROV record well-defined ways to publish it (automatically) possible repacking into a new collection described in DTR 11

12 Data processing perspectives Climate data analytics service (for EOSC) Cluster-based, 2 pilot implementations, Copernicus Climate Change Service (C3S) coordinated by ECMWF, operational WPS-based service ecosystem with multiple deployments 12

13 Global Digital Object Cloud (GDOC) ID: 843 G (object:publication) Identifier Service Identifier Service ID: 987/ Repo/Registry Repo/Registry Repo/Registry Repo/Registry Repo/Registry Identifier Service (object:dataset) ID: 123 A ID: XZY A ID: HGY ID: 876 A (object:collection) End users, developers, and automated processes deal with persistently identified, virtually aggregated digital objects, including collections which are overlays on multiple network services which in turn are overlays on existing or future information storage systems. L. Lannom / DFIG 13

14 GDOC and reusable data service components Type registry Broker Search component Processing executor Schema registry Collection builder PID registry 14

15 Thank you for your attention. 15

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