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Web Processing Services for the Climate Science Community supported by Birdhouse

Ehbrecht, Carsten; Kindermann, Stephan; Meyer, Jörg

Abstract (englisch):

Climate analyses often require the processing of large data from climate model simulations and observation data. Nowadays, researchers download data from climate data archives and try to process those files at their home institutes with local analysis software. But with the growing amount of climate data this is not a feasible solution. With the upcoming climate model simulations projects (e.g. CMIP6) even larger climate institutes and computing centers will not be able to keep all relevant data on one storage system.
Climate processing services can be a valuable contribution to cope with the growing data challenge. A set of climate analyses processing tools can be installed close to the climate data archives. These processing tools are provided as services, which can be accessed via the web. Here, standardized interfaces are important to enable processing services among several institutes interested in climate data. Furthermore a standard processing interface enables the chaining of processes cross-institutional.
Besides sharing the processing services, this gives also the opportunity to share the knowledge (and software) on climate processing among researchers and institutes. ... mehr

Volltext §
DOI: 10.5445/KSP/1000071931
Cover der Publikation
Zugehörige Institution(en) am KIT Steinbuch Centre for Computing (SCC)
Universität Karlsruhe (TH) – Zentrale Einrichtungen (Zentrale Einrichtungen)
Publikationstyp Buchaufsatz
Publikationsjahr 2017
Sprache Englisch
Identifikator ISBN: 978-3-7315-0695-9
KITopen-ID: 1000074124
HGF-Programm 46.12.01 (POF III, LK 01) Data Life Cycle Labs
Erschienen in Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA). Ed.: C. Jung
Verlag KIT Scientific Publishing
Seiten 11-22
Relationen in KITopen
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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