2021
DOI: 10.5194/angeo-39-1013-2021
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Predictability of variable solar–terrestrial coupling

Abstract: Abstract. In October 2017, the Scientific Committee on Solar-Terrestrial Physics (SCOSTEP) Bureau established a committee for the design of SCOSTEP's Next Scientific Programme (NSP). The NSP committee members and authors of this paper decided from the very beginning of their deliberations that the predictability of the Sun–Earth System from a few hours to centuries is a timely scientific topic, combining the interests of different topical communities in a relevant way. Accordingly, the NSP was christened PREST… Show more

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Cited by 19 publications
(14 citation statements)
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“…A comprehensive understanding of the Sun-Earth system leads to improvements in the prediction of phenomena that have significant societal relevance. This calls for improvement in tools such as data assimilation, statistical analysis, and synthesis of observations and models (Daglis et al, 2021). Several studies have analyzed interacting large-scale solar wind phenomena using multipoint observations supported by heliospheric modeling and their space weather impacts (Farrugia et al, 2011;Winslow et al, 2021;Pal et al, 2022b).…”
mentioning
confidence: 99%
“…A comprehensive understanding of the Sun-Earth system leads to improvements in the prediction of phenomena that have significant societal relevance. This calls for improvement in tools such as data assimilation, statistical analysis, and synthesis of observations and models (Daglis et al, 2021). Several studies have analyzed interacting large-scale solar wind phenomena using multipoint observations supported by heliospheric modeling and their space weather impacts (Farrugia et al, 2011;Winslow et al, 2021;Pal et al, 2022b).…”
mentioning
confidence: 99%
“…Thus, the timescales involved range from minutes to a few days. Accordingly the predictability of flares, SEPs, and CME/shock arrival differ significantly [195]. While predicting flare/CME occurrence based on source region properties is a long way away, there are methods being developed actively using statistics and machine learning (see [196] and references therein].…”
Section: Discussionmentioning
confidence: 99%
“…The role of the Sun's plasma and magnetic activity in the paleoclimate (4 billion years ago) and climate change over the past millennia and longer (but prior to major anthropogenic impact on climate) is the subject of a long-standing debate for nearly 30 years after the introduction of non-linear methods to correlate the solar activity (length of the solar cycle, length of solar minimum, or strength of solar dipole magnetic field, instead of simple sunspot number or solar irradiance) with the terrestrial climate (not only the average temperature but also the regional pressure such as north Atlantic oscillation or cloud coverage) [56][57][58][59][60][61]. Figure 10 shows the correlation study by Stauning [60].…”
Section: Past Climate Change: Solar Influencementioning
confidence: 99%