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Dataset: mksrf_vocef.c060502.nc
Catalog: /thredds/catalog/z04/lnd/clm2/rawdata/catalog.html
dataFormatNetCDF
authorityCRC1502 DETECT
featureTypeGrid
dataSize9337852
idproject_z04_id/lnd/clm2/rawdata/mksrf_vocef.c060502.nc
Access
Preview

Access:

ServiceTypeDescription
OPENDAP Data Access Access dataset through OPeNDAP using the DAP2 protocol.
CdmRemote Data Access Provides index subsetting on remote CDM datasets, using ncstream.
HTTPServer Data Access HTTP file download.
NetcdfSubset Data Access A web service for subsetting CDM scientific grid datasets.
WMS Data Access Supports access to georegistered map images from geoscience datasets.
WCS Data Access Supports access to geospatial data as 'coverages'.
ISO Metadata Provide ISO 19115 metadata representation of a dataset's structure and metadata.

Viewers:

ViewerTypeDescription
Godiva3 Browser
default_viewer.ipynb Jupyter Notebook The TDS default viewer attempts to plot any Variable contained in the Dataset.
Documentation
Dates
Publishers

Description:

  • Summary: The key objectives of the CRC rely heavily on numerical modelling, data processing and analysis. Project Z04 will be responsible for: (i) Providing basic support for a multitude of HPC-related issues, such as the porting and tuning of scientific software applications (simulation, processing, analysis, and visualization codes) on the latest supercomputers (at Jülich Supercomputing Centre, JSC, and University of Bonn HPC/A-Lab) throughout the entire CRC; (ii) helping with model development through contributions to the developments in the CRC projects and support the performance optimization of workflows towards big data readiness, linked with Z03 tasks; (iii) model simulation support as a service to the CRC, including provenance tracking and configuration management for reproducibility; and (iv) training of early-career scientists at the interface of geoscience, HPC, and data science in collaboration with Z02 and Z03. Hence, Z04 will help the CRC efficiently conduct its demanding numerical model and simulation experiments, as well as processing and analysis tasks, in a big data context.
  • Structure of the DETECT projects

Dates:

  • modified : 2025-03-07T16:05:14.282Z

Publishers:

  • (DETECT Z04) Dr. Klaus Görgen, Prof. Dr. Petra Mutzel, Dr. Daniel Caviedes-Voullième, Dr. Stefan Poll, Dr. Johannes Keller
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