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Space-based Earth observation in support of the UNFCCC Paris Agreement

  • Michaela I. Hegglin
  • , Ana Bastos
  • , Heinrich Bovensmann
  • , Michael Buchwitz
  • , Dominic Fawcett
  • , Darren Ghent
  • , Gemma Kulk
  • , Shubha Sathyendranath
  • , Theodore G. Shepherd
  • , Shaun Quegan
  • , Regine Röthlisberger
  • , Stephen Briggs
  • , Carlo Buontempo
  • , Anny Cazenave
  • , Emilio Chuvieco
  • , Philippe Ciais
  • , David Crisp
  • , Richard Engelen
  • , Suvarna Fadnavis
  • , Martin Herold
  • Martin Horwath, Oskar Jonsson, Gabriel Kpaka, Christopher J. Merchant, Christian Mielke, Thomas Nagler, Frank Paul, Thomas Popp, Tristan Quaife, Nick A. Rayner, Colas Robert, Marc Schröder, Stephen Sitch, Sara Venturini, Robin van der Schalie, Mendy van der Vliet, Jean-Pierre Wigneron, R. Iestyn Woolway
  • University of Reading
  • Max Planck Institute for Biogeochemistry, Jena
  • Department for Health Services Research, Institute for Public Health and Nursing Research (IPP) and Health Sciences Bremen, University of Bremen, Bremen, Germany.
  • College of Life and Environmental Sciences, University of Exeter, Penryn Campus, Penryn, 9 TR10 9EZ, UK.
  • University of Leicester
  • Plymouth Marine Laboratory
  • University of Sheffield
  • Federal Office for the Environment, Bern
  • European Centre for Medium Range Weather Forecasts, Bonn,
  • LEGOS-CNES, Toulouse, France
  • Universidad de Alcalá
  • Laboratoire des Sciences du Climat et de l'Environnement
  • The California Institute of Technology
  • European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX (UK)
  • Indian Institute of Tropical Meteorology
  • Helmholtz GFZ German Research Centre for Geosciences
  • Technische Universität Dresden
  • Swedish Environmental Protection Agency
  • Sierra Leone Meteorological Agency
  • German Federal Environment Agency, Dessau
  • ENVEO Environmental Earth Observation IT GmbH, Innsbruck
  • University of Zurich
  • Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
  • Met Office Hadley Centre (MOHC)
  • Centre Interprofessionnel Technique d'Etudes de la Pollution Atmosphérique, Paris,
  • German Weather Service, Offenbach
  • Group on Earth Observations (GEO), Geneva
  • Planet, Haarlem, Netherlands
  • INRAE ISPA, Villenave d'Ornon, France

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

Crynodeb

Space-based Earth observation (EO), in the form of long-term climate data records, has been crucial in the monitoring and quantification of slow changes in the climate system—from accumulating greenhouse gases (GHGs) in the atmosphere, increasing surface temperatures, and melting sea-ice, glaciers and ice sheets, to rising sea-level. In addition to documenting a changing climate, EO is needed for effective policy making, implementation and monitoring, and ultimately to measure progress and achievements towards the overarching goals of the United Nations Framework Convention on Climate Change (UNFCCC) Paris Agreement to combat climate change. The best approach for translating EO into actionable information for policymakers and other stakeholders is, however, far from clear. For example, climate change is now self-evident through increasingly intense and frequent extreme events—heatwaves, droughts, wildfires, and flooding—costing human lives and significant economic damage, even though single events do not constitute “climate”. EO can capture and visualize the impacts of such events in single images, and thus help quantify and ultimately manage them within the framework of the UNFCCC Paris Agreement, both at the national level (via the Enhanced Transparency Framework) and global level (via the Global Stocktake). We present a transdisciplinary perspective, across policy and science, and also theory and practice, that sheds light on the potential of EO to inform mitigation, including sinks and reservoirs of greenhouse gases, and adaptation, including loss and damage. Yet to be successful with this new mandate, EO science must undergo a radical overhaul: it must become more user-oriented, collaborative, and transdisciplinary; span the range from fiducial to contextual data; and embrace new technologies for data analysis (e.g., artificial intelligence). Only this will allow the creation of the knowledge base and actionable climate information needed to guide the UNFCCC Paris Agreement to a just and equitable success.
Iaith wreiddiolAnadnabyddus
CyfnodolynFrontiers in Environmental Science
Cyfrol10
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 5 Hyd 2022

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