GC51G:
Climate Extremes and Their Implications in Impact Modeling Studies I

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Session ID#: 15592

Session Description:
Heatwaves and cold spells are responsible for severe impacts to society and ecosystems in many parts of the world. Changes in the frequency, intensity and distribution of such climate extremes under global warming will challenge current adaptation strategies. A wide range of indicators characterizing heatwaves and cold spells or related climate extremes indicators are available in the climate community and are used in impact studies (e.g., human health and heat stress, air pollution, ecosystem services, agriculture, energy, infrastructure). Incorporating climate extremes and related indicators or indices in impact modelling studies remains a challenge. Contributions are welcome, which explore the usefulness and limitations of climate extremes indicators (e.g. Heatwave index) in impact studies; compare impact studies using different climate extremes indicators or applying the same climate extremes indicator to different impacts; address associated uncertainties; and highlight future needs for designing such indicators to meet the requirements for use in impact studies.
Primary Convener:  Jana Sillmann, Universtiy of Hamburg, Hamburg, Germany
Conveners:  Sarah Perkins-Kirkpatrick, University of New South Wales, Climate Change Research Centre and ARC Centre of Excellence for Climate System Science, Sydney, NSW, Australia, Simone Russo, European Commission Joint Research Centre, Econometrics and Applied Statistics Unit, Competence Centre on Composite Indicators and Scoreboards (COIN), Ispra (VA), Italy and Jacob Schewe, Potsdam Institute for Climate Impact Research, Potsdam, Germany
Chairs:  Jana Sillmann, Universtiy of Hamburg, Hamburg, Germany, Sarah Perkins-Kirkpatrick, University of New South Wales, Climate Change Research Centre and ARC Centre of Excellence for Climate System Science, Sydney, NSW, Australia and Simone Russo, European Commission Joint Research Centre, Econometrics and Applied Statistics Unit, Competence Centre on Composite Indicators and Scoreboards (COIN), Ispra (VA), Italy
OSPA Liaison:  Sarah Perkins-Kirkpatrick, University of New South Wales, Climate Change Research Centre and ARC Centre of Excellence for Climate System Science, Sydney, NSW, Australia
Co-Organized with:
Public Affairs, Public Affairs, and Natural Hazards

Cross-Listed:
  • NH - Natural Hazards
  • SI - Societal Impacts and Policy Sciences

Proposed Co-Organized Session with:
  • NH - Natural Hazards
  • SI - Societal Impacts and Policy Sciences
Index Terms:

1627 Coupled models of the climate system [GLOBAL CHANGE]
1630 Impacts of global change [GLOBAL CHANGE]
4313 Extreme events [NATURAL HAZARDS]
4321 Climate impact [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Past and future weather-induced risk in crop production (Invited) (122798)
Joshua Wright Elliott, University of Chicago, Department of Computer Science, Chicago, IL, United States, Michael Glotter, University of Chicago, Chicago, IL, United States, Tess A Russo, Pennsylvania State University Main Campus, Earth and Environmental Systems Institute, University Park, PA, United States, Sasmita Sahoo, Pennsylvania State University Main Campus, University Park, PA, United States, Ian Foster, University of Chicago, Computer Science, Chicago, IL, United States, Tim Benton, University of Leeds, Leeds, United Kingdom and Christoph Müller, University of East Anglia, Climatic Research Unit, Norwich, United Kingdom
Evaluation of a physics-preserving bias correction methodology designed for climate impact simulations (Invited) (123492)
Sebastian Sippel1,2, Friederike Elly Luise Otto3, Matthias Forkel1, Myles Robert Allen4, Benoit P Guillod3, Martin Heimann5, Markus Reichstein1, Sonia I Seneviratne2, Thonicke Kirsten6 and Miguel Mahecha7, (1)Max Planck Institute for Biogeochemistry, Jena, Germany, (2)ETH Swiss Federal Institute of Technology Zurich, Zurich, Switzerland, (3)University of Oxford, ECI/School of Geography and the Environment, Oxford, United Kingdom, (4)University of Oxford, Physics, Oxford, United Kingdom, (5)Max Planck Institute for Biogeochemistry, Biogeochemical Systems, Jena, Germany, (6)Potsdam Institute for Climate Impact Research, RD1 - Earth System Analysis, Potsdam, Germany, (7)German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany
Combinations of Multi-model Extremes Indices as Surrogates for Climate Impacts (165904)
Terence Randall Thompson, LMI, Climate Analytics, McLean, VA, United States
Hot spots of multivariate extreme anomalies in Earth observations (122748)
Milan Flach1, Sebastian Sippel1, Paul Bodesheim1, Alexander Brenning2,3, Joachim Denzler2,3, Fabian Gans4, Yanira Guanche2, Markus Reichstein1,3, Erik Rodner2,3 and Miguel Mahecha3,5, (1)Max Planck Institute for Biogeochemistry, Jena, Germany, (2)Friedrich Schiller University of Jena, Jena, Germany, (3)Michael-Stifel-Center Jena for Data-driven and Simulation Science, Jena, Germany, (4)Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany, (5)German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany
The National Integrated Heat Health Information System (NIHHIS) as a Learning System for Extreme Heat: Evolving Future Resilience from Present Climate Extremes (142347)
Hunter Jones, NOAA Climate Program Office, Silver Spring, United States, Juli Trtanj, NOAA, Climate Program Office, Silver Spring, United States, Roger S Pulwarty, NOAA, OAR/Physical Sciences Laboratory, Boulder, United States and Wayne Higgins, NOAA Ocean and Atmospheric Research, College Park, MD, United States
21st Century Heat Stress Projections and their Effects on US Livestock (195836)
Emma McCabe1, Jonathan R Buzan1, Srinath Krishnan2 and Matthew Huber1, (1)University of New Hampshire Main Campus, Durham, NH, United States, (2)Yale University, New Haven, CT, United States
Past exposure to climate extremes can inform future projections and guide management: coral reefs as a model system (129849)
Simon D Donner, University of British Columbia, Department of Geography, Vancouver, BC, Canada

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