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Are We at Risk of Losing the Current Generation of Climate Researchers to Data Science?

Jain, Shipra ; Mindlin, Julia; Koren, Gerbrand; Gulizia, Carla; Steadman, Claudia; Langendijk, Gaby S.; Osman, Marisol 1; Abid, Muhammad A.; Rao, Yuhan; Rabanal, Valentina
1 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)

Abstract:

Climate model output has progressively increased in size over the past decades and is expected to continue to rise in the future. Consequently, the research time expended by Early Career Researchers (ECRs) on data-intensive activities is displacing the time spent in fostering novel scientific ideas and expanding the frontiers of climate sciences. Here, we highlight an urgent need for a better balance between data-intensive and foundational climate science activities, more open-ended research opportunities that reinforce the scientific freedom of the ECRs, and strong coordinated action to provide infrastructure and resources to the ECRs working in under-resourced environments.


Verlagsausgabe §
DOI: 10.5445/IR/1000150979
Veröffentlicht am 24.09.2022
Originalveröffentlichung
DOI: 10.1029/2022AV000676
Scopus
Zitationen: 6
Web of Science
Zitationen: 6
Dimensions
Zitationen: 10
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 08.2022
Sprache Englisch
Identifikator ISSN: 2576-604X
KITopen-ID: 1000150979
HGF-Programm 12.11.34 (POF IV, LK 01) Improved predictions from weather to climate scales
Erschienen in AGU Advances
Verlag American Geophysical Union (AGU)
Band 3
Heft 4
Vorab online veröffentlicht am 18.07.2022
Nachgewiesen in Dimensions
Web of Science
Scopus
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