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The Climatic Impact‐Driver Framework for Assessment of Risk‐Relevant Climate Information

Journal Article · · Earth's Future
DOI:https://doi.org/10.1029/2022EF002803· OSTI ID:1898444
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9];  [10];  [11];  [12];  [13];  [14];  [15];  [16];  [17];  [18];  [19];  [20]
  1. NASA Goddard Institute for Space Studies New York NY USA
  2. Institut Pierre‐Simon Laplace CNRS Paris France, Université Paris‐Saclay Paris France, Sorbonne Université Paris France
  3. Department of Coastal and Urban Risk &, Resilience IHE Delft Institute for Water Education Delft The Netherlands, Department of Harbour, Coastal and Offshore Engineering Deltares Delft The Netherlands
  4. Research Unit for Sustainability and Climate Risks University of Hamburg Hamburg Germany, Center for International Climate Research Oslo Norway
  5. The Abdus Salam International Centre for Theoretical Physics Trieste Italy
  6. Department of Meteorology University of Reading Reading UK
  7. Manila Observatory Quezon City Philippines
  8. School of Earth and Environment and ESRC Centre for Climate Change Economics and Policy University of Leeds Leeds UK
  9. Institut Pierre‐Simon Laplace CNRS Paris France, Center for International Climate Research Oslo Norway
  10. Institute of Water and Flood Management Bangladesh University of Engineering and Technology (BUET) Dhaka Bangladesh
  11. Met Office Hadley Centre Exeter UK, School of Geography and the Environment University of Oxford Oxford UK
  12. Faculty of Desert Studies Semnan University Semnan Iran
  13. Department of Ecology, Evolution and Environmental Biology Columbia University in the City of New York New York NY USA, Columbia Climate School Columbia University in the City of New York New York NY USA, International Research Institute for Climate and Society Columbia University in the City of New York New York NY USA
  14. Institute for Atmospheric and Climate Science ETH Zurich Zurich Switzerland
  15. Institut Pierre‐Simon Laplace CNRS Paris France
  16. Faculty of Exact and Natural Sciences University of Buenos Aires Buenos Aires Argentina, Centro de Investigaciones del Mar y la Atmosfera (CONICET – UBA) Buenos Aires Argentina, CNRS, CNRS – IRD – CONICET – UBA, Instituto Franco‐Argentino para el Estudio del Clima y sus Impactos (IRL 3351 IFAECI) Buenos Aires Argentina
  17. African Institute for Mathematical Sciences Kigali Rwanda
  18. Lawrence Berkeley National Laboratory Berkeley CA USA, Pacific Northwest National Laboratory College Park MD USA
  19. State Key Laboratory of Hydrology‐Water Resources and Hydraulic Engineering Hohai University Nanjing China
  20. International Centre for Biosaline Agriculture Dubai UAE, University of Almería Almería Spain
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.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE; USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1898444
Alternate ID(s):
OSTI ID: 2470571
OSTI ID: 1995034
Journal Information:
Earth's Future, Journal Name: Earth's Future Journal Issue: 11 Vol. 10; ISSN 2328-4277
Publisher:
American Geophysical Union (AGU)Copyright Statement
Country of Publication:
United States
Language:
English

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