Your browser doesn't support javascript.
loading
The Climatic Impact-Driver Framework for Assessment of Risk-Relevant Climate Information.
Ruane, Alex C; Vautard, Robert; Ranasinghe, Roshanka; Sillmann, Jana; Coppola, Erika; Arnell, Nigel; Cruz, Faye Abigail; Dessai, Suraje; Iles, Carley E; Islam, A K M Saiful; Jones, Richard G; Rahimi, Mohammad; Carrascal, Daniel Ruiz; Seneviratne, Sonia I; Servonnat, Jérôme; Sörensson, Anna A; Sylla, Mouhamadou Bamba; Tebaldi, Claudia; Wang, Wen; Zaaboul, Rashyd.
Afiliação
  • Ruane AC; NASA Goddard Institute for Space Studies New York NY USA.
  • Vautard R; Institut Pierre-Simon Laplace CNRS Paris France.
  • Ranasinghe R; Université Paris-Saclay Paris France.
  • Sillmann J; Sorbonne Université Paris France.
  • Coppola E; Department of Coastal and Urban Risk & Resilience IHE Delft Institute for Water Education Delft The Netherlands.
  • Arnell N; Department of Harbour, Coastal and Offshore Engineering Deltares Delft The Netherlands.
  • Cruz FA; Research Unit for Sustainability and Climate Risks University of Hamburg Hamburg Germany.
  • Dessai S; Center for International Climate Research Oslo Norway.
  • Iles CE; The Abdus Salam International Centre for Theoretical Physics Trieste Italy.
  • Islam AKMS; Department of Meteorology University of Reading Reading UK.
  • Jones RG; Manila Observatory Quezon City Philippines.
  • Rahimi M; School of Earth and Environment and ESRC Centre for Climate Change Economics and Policy University of Leeds Leeds UK.
  • Carrascal DR; Institut Pierre-Simon Laplace CNRS Paris France.
  • Seneviratne SI; Center for International Climate Research Oslo Norway.
  • Servonnat J; Institute of Water and Flood Management Bangladesh University of Engineering and Technology (BUET) Dhaka Bangladesh.
  • Sörensson AA; Met Office Hadley Centre Exeter UK.
  • Sylla MB; School of Geography and the Environment University of Oxford Oxford UK.
  • Tebaldi C; Faculty of Desert Studies Semnan University Semnan Iran.
  • Wang W; Department of Ecology, Evolution and Environmental Biology Columbia University in the City of New York New York NY USA.
  • Zaaboul R; Columbia Climate School Columbia University in the City of New York New York NY USA.
Earths Future ; 10(11): e2022EF002803, 2022 Nov.
Article em En | MEDLINE | ID: mdl-36582412
ABSTRACT
The climate science and applications communities need a broad and demand-driven concept to assess physical climate conditions that are relevant for impacts on human and natural systems. Here, we augment the description of the "climatic impact-driver" (CID) approach adopted in the Working Group I (WGI) contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report. CIDs are broadly defined as "physical climate system conditions (e.g., means, events, and extremes) that affect an element of society or ecosystems. Depending on system tolerance, CIDs and their changes can be detrimental, beneficial, neutral, or a mixture of each across interacting system elements and regions." We give background information on the IPCC Report process that led to the development of the 7 CID types (heat and cold, wet and dry, wind, snow and ice, coastal, open ocean, and other) and 33 distinct CID categories, each of which may be evaluated using a variety of CID indices. This inventory of CIDs was co-developed with WGII to provide a useful collaboration point between physical climate scientists and impacts/risk experts to assess the specific climatic phenomena driving sectoral responses and identify relevant CID indices within each sector. The CID Framework ensures that a comprehensive set of climatic conditions informs adaptation planning and risk management and may also help prioritize improvements in modeling sectoral dynamics that depend on climatic conditions. CIDs contribute to climate services by increasing coherence and neutrality when identifying and communicating relevant findings from physical climate research to risk assessment and planning activities.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article