Big Data and Climate

https://www.nature.com/articles/s41558-019-0404-1

Dieser Artikel handelt von der Anwendung von "Big Data" in der Klimawissenschaft:

• Benedikt Knüsel,
• Marius Zumwald,
• Christoph Baumberger,
• Gertrude Hirsch Hadorn,
• Erich M. Fischer,
• David N. Bresch &
• Reto Knutti 

Nature Climate Change volume 9, pages196–202 (2019)

Abstract

Commercial success of big data has led to speculation that big-data-like reasoning could partly replace theory-based approaches in science. Big data typically has been applied to ‘small problems’, which are well-structured cases characterized by repeated evaluation of predictions. Here, we show that in climate research, intermediate categories exist between classical domain science and big data, and that big-data elements have also been applied without the possibility of repeated evaluation. Big-data elements can be useful for climate research beyond small problems if combined with more traditional approaches based on domain-specific knowledge. The biggest potential for big-data elements, we argue, lies in socioeconomic climate research.