001     1047551
005     20251127160238.0
037 _ _ |a FZJ-2025-04377
041 _ _ |a English
100 1 _ |a Hinz, Carsten
|0 P:(DE-Juel1)171304
|b 0
|e Corresponding author
111 2 _ |a Semester of Algorithmic Earth System Sciences: Kick-off and networking event
|c Köln
|d 2025-10-07 - 2025-10-10
|w Germany
245 _ _ |a Storing, Finding and Accessing Earth System Modeling Data: Insights and Challenges from WarmWorld-Easier
260 _ _ |c 2025
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a CONFERENCE_POSTER
|2 ORCID
336 7 _ |a Output Types/Conference Poster
|2 DataCite
336 7 _ |a Poster
|b poster
|m poster
|0 PUB:(DE-HGF)24
|s 1764255376_7863
|2 PUB:(DE-HGF)
|x After Call
500 _ _ |a File only for internal use.
520 _ _ |a Improvements in computational speed lead to better resolutions in Earth System Models (ESM) allowing them to resolve scales of a few kilometers. The volume of the resulting data greatly increases with the improvements in resolution and introduces a challenge to processing and storing these results. While modern HPC systems provide petabyte-scale capacity for file storage, analyzing such data on local user systems can become a prohibitive bottleneck. Beyond the sheer demands on processing high-volume ESM data, there is also increasing demand to make them FAIR and in particular findable. The goal of the “Easier” module of the Warmworld project aims to simplify the access to ESM data from different HPC centers, in particular the German Climate Computing Center (DKRZ) and the Jülich Supercomputing Centre (JSC). One aspect is the creation of a joint catalog following the SpatioTemporal Asset Catalogs (STAC) specification. This enhances the findability for data available at both centers. The accessibility is provided by links in the catalog to access the data, either directly on disk, as a download or, as a mid term goal, through streaming of data on demand with zarr over http. The explicit implementation of the required REST-APIs depends on the infrastructure, hardware and software, of the data centers as well as the organization of the stored data. As the first data backend at JSC, we set up a Fields DataBase (FDB), developed by European Centre for Medium-Range Weather Forecasts (ECMWF), to store the ESM results as multi-dimensional data cubes. For data retrieval, we provide a download service. Data are identified within the FDB by their metadata according to the Meteorological Archival and Retrieval System (MARS), developed by ECMWF. The automated access to HPC system is achived with the UNiform Interface to COmputing REsources (UNICORE). The download service integrates HelmholtzID, the Helmholtz authentication and authorization infrastructure. This will allow a large number of institutions to access these services with the possibility to control access and resource use. ƒOur poster will illustrate the combination of these various tools and services for creating the envisoned services for the infrastructure at JSC as well as our federated STAC catalog. We wish to close our presentation with an overview on further challenges related to ESM data addressing aspects of data management and data access.
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5111
|c POF4-511
|f POF IV
|x 0
536 _ _ |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5112
|c POF4-511
|f POF IV
|x 1
536 _ _ |a Earth System Data Exploration (ESDE)
|0 G:(DE-Juel-1)ESDE
|c ESDE
|x 2
536 _ _ |a BMBF 01LK2204D - WarmWorld Modul 3 "Easier" (BMBF-01LK2204D)
|0 G:(DE-Juel1)BMBF-01LK2204D
|c BMBF-01LK2204D
|x 3
700 1 _ |a Peters-von Gehlen, Karsten
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Rao Modali, Kameswar
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Saini, Rajveer
|0 P:(DE-Juel1)157761
|b 3
700 1 _ |a Schultz, Martin
|0 P:(DE-Juel1)6952
|b 4
856 4 _ |u https://juser.fz-juelich.de/record/1047551/files/Poster_AlgoEarth_2025-1.pdf
|y Restricted
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)171304
910 1 _ |a DKRZ: Deutsches Klimarechenzentrum
|0 I:(DE-HGF)0
|b 1
|6 P:(DE-HGF)0
910 1 _ |a DKRZ: Deutsches Klimarechenzentrum
|0 I:(DE-HGF)0
|b 2
|6 P:(DE-HGF)0
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)157761
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)6952
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5111
|x 0
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5112
|x 1
914 1 _ |y 2025
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a poster
980 _ _ |a EDITORS
980 _ _ |a VDBINPRINT
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED


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