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ESRs Workshop 2 - 2nd Workshop on hydro-climate extremes, detection and attribution for Early Stage Researchers

Authors: Wilby, Robert L.; Daloz, Ann Sophie; Iles, Carley; Matthews, Tom; Mudelsee, Manfred;

ESRs Workshop 2 - 2nd Workshop on hydro-climate extremes, detection and attribution for Early Stage Researchers

Abstract

The workshop on hydro-climate extremes, detection, and attribution was held on October 7, 8, 11, 12, and 13, 2021. at the University of Novi Sad Faculty of Sciences, Novi Sad, Serbia, as an activity on the ExtremeClimTwin project. The second workshop was focused on Climate time series analysis, Climate extremes in global and regional climate models, downscaling techniques, and physical drivers of extremes. The aim of this events is to equip ESRs with skills to tackle the emerging climate issues. The first day was dedicated to the introductory course of Statistical downscaling and generation of climate extremes delivered by Prof. Robert Wilby. The lecture by Dr. Anne Sophie Daloz on the second day was titled “Downscaling models and their use in the context of extremes”. On the third day of the workshop Dr. Carley Iles introduced the participants to Extreme Event Attribution. The fourth day of the ESRs Workshop 2 was devoted to “Physical drivers of extreme heat” by Tom Matthews. Dr. Manfred Mudelsee gave the talk on “Climate Time Series Analysis, with special emphasis on climate extremes” on the fifth day. This was a course developed and specifically tailored to the needs of PhD students who wish to learn about an important combination of disciplines.

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Physical drivers of extreme weather, Climate extremes time series analysis, Climate extremes in global and regional climate models, Climate extremes time series analysis, Climate time series analysis, Statistical and dynamical downscaling, Physical drivers of extreme weather, Statistical and dynamical downscaling, Attribution of extreme weather events, Attribution of extreme weather events

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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