H2020Индивидуална стипендия2020–2023

ANDANTE · AttributioN of DynAmic and thermodyNamic components in exTreme weather and climate Events

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2020-03-01 → 2023-03-20
Финансиране от ЕС: 224 934 €
Участници: 1
Схема: MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Екстремните климатични явления в Европа и Африка, като горещите вълни и сушата, се анализират, за да се разбере доколко са повлияни от човешката дейност и атмосферната циркулация. Това помага за по-точна оценка на рисковете от климатичните промени в отделните региони.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

AttributioN of DynAmic and thermodyNamic components in exTreme weather and climate Events

Extreme weather and climate events, such as heat waves, droughts, and their combinations, are intrinsic to the climate system, and they can have substantial environmental and socio-economic impacts. Every extreme event is the result of a combination of external drivers, natural and anthropogenic, and internal variability. Risk-based or probabilistic extreme event attribution assesses to what extent anthropogenic drivers modify the probability and magnitude, and hence the risk of an extreme event or a class of events to understand regional impacts of climate change. Surface conditions depend on the patterns of atmospheric circulation. Thus, in a specific region human-induced thermodynamic influence can be amplified or counteracted by human-induced change in the atmospheric circulation. The main goal of project ANDANTE is to explore both human-induced dynamic (i.e. circulation/flow) and thermodynamic contributions to the risk of selected extreme events in Europe and Africa. The project makes important contributions to the field of extreme event attribution. Anthropogenically driven thermodynamic aspects in analysed extreme events can be only partially offset with changes in dynamic/circulation elements due such anthropogenic forcings. The multi-model climate simulations and multi-member reanalysis products are used to make robust multi-method estimates of the univariate and multivariate (i.e. multi-variable) risk indicators. The risk assessment of selected extreme events can be useful to a wide spectrum of stakeholders interested in climate change impacts.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Extreme weather and climate events, such as heat waves, droughts and their combinations, are intrinsic aspects of the evolution of the climate system, and they can have substantial environmental and socio-economic impacts. Every extreme event is the result of a superposition of external drivers, natural and anthropogenic, and internal variability. Risk-based or probabilistic extreme event attribution assesses to what extent anthropogenic drivers modify the probability and magnitude, and hence the risk of an extreme event or a class of events to understand regional impacts of climate change. Surface conditions depend on the patterns of atmospheric circulation. Thus, in a specific region human-induced thermodynamic influence can be amplified or counteracted by human-induced change in the atmospheric circulation. The main goal of ANDANTE is to separate human-induced dynamic (i.e. circulation/flow) and thermodynamic contributions to the risk of selected extreme events in Europe and Africa. Since we are dealing with rare events we need large or even better very large ensembles of model simulations (~1,000 members) to do the flow-conditional probabilistic event attribution in statistically sound way (i.e. to get well-resolved probability distributions) with the methods of flow clusters (weather regimes/climate modes) and flow analogues. The project will make a key contribution to the development of the next-generation prediction and event attribution system. The produced new very large ensembles will be combined with the current-generation ensembles as well as multi-model climate simulations and multi-member reanalysis products to perform robust multi-method estimates of the univariate and multivariate (i.e. multi-variable) risk indicators. The risk assessment of selected extreme events manifested in surface temperature, precipitation, potential evapotranspiration and fire weather index can be useful to a wide spectrum of stakeholders interested in climate change impacts.

Оригинален текст от CORDIS (на английски).

Участници

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD · OxfordКоординаторОбединеното кралство