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Data Science and Earth System Science.
von Castell, Wolfgang, Ruhnke, Roland, Bouwer, Laurens M., Brix, Holger, Dietrich, Peter, Dransch, Doris, Frickenhaus, Stephan, Greinert, Jens and Petzold, Andreas (2022) Data Science and Earth System Science. In: Integrating Data Science and Earth Science. , ed. by Bouwer, Laurens M., Dransch, Doris, Ruhnke, Roland, Rechid, Diana, Frickenhaus, Stephan and Greinert, Jens. SpringerBriefs in Earth System Sciences . Springer, Cham, pp. 1-6, 36 pp. ISBN 978-3-030-99546-1 DOI 10.1007/978-3-030-99546-1_1.
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Abstract
Data-driven science has turned into a fourth fundamental paradigm of performing research. Earth System Science, following a holistic approach in unraveling the complex network of processes and interactions shaping system Earth, particularly profits from embracing data-driven approaches next to observation and modeling. At the end, increasing digitalization of Earth sciences will lead to cultural transformation towards a Digital Earth Culture.
Document Type: | Book chapter |
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Keywords: | Data analysis, Data exploration, Earth System Science, Data science, Digitalization, Machine learning |
Research affiliation: | HGF-FZJ HGF-HMGU HGF-UFZ OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-MG Marine Geosystems HGF-KIT OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-MG Marine Geosystems > FB2-MG Marine Geosystems DeepSea Monitoring HGF-Hereon HGF-AWI HGF-GFZ |
Main POF Topic: | PT6: Marine Life |
Publisher: | Springer |
Date Deposited: | 09 Dec 2022 13:57 |
Last Modified: | 09 Dec 2022 14:07 |
URI: | https://oceanrep.geomar.de/id/eprint/57450 |
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