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@ARTICLE{Hegglin:910338,
      author       = {Hegglin, Michaela I. and Bastos, Ana and Bovensmann,
                      Heinrich and Buchwitz, Michael and Fawcett, Dominic and
                      Ghent, Darren and Kulk, Gemma and Sathyendranath, Shubha and
                      Shepherd, Theodore G. and Quegan, Shaun and Röthlisberger,
                      Regine and Briggs, Stephen and Buontempo, Carlo and
                      Cazenave, Anny and Chuvieco, Emilio and Ciais, Philippe and
                      Crisp, David and Engelen, Richard and Fadnavis, Suvarna and
                      Herold, Martin and Horwath, Martin and Jonsson, Oskar and
                      Kpaka, Gabriel and Merchant, Christopher J. and Mielke,
                      Christian and Nagler, Thomas and Paul, Frank and Popp,
                      Thomas and Quaife, Tristan and Rayner, Nick A. and Robert,
                      Colas and Schröder, Marc and Sitch, Stephen and Venturini,
                      Sara and van der Schalie, Robin and van der Vliet, Mendy and
                      Wigneron, Jean-Pierre and Woolway, R. Iestyn},
      title        = {{S}pace-based {E}arth observation in support of the
                      {UNFCCC} {P}aris {A}greement},
      journal      = {Frontiers in Environmental Science},
      volume       = {10},
      issn         = {2296-665X},
      address      = {Lausanne},
      publisher    = {Frontiers Media},
      reportid     = {FZJ-2022-03758},
      pages        = {941490},
      year         = {2022},
      abstract     = {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.},
      cin          = {IEK-7 / JSC},
      ddc          = {333.7},
      cid          = {I:(DE-Juel1)IEK-7-20101013 / I:(DE-Juel1)JSC-20090406},
      pnm          = {2112 - Climate Feedbacks (POF4-211) / 5111 -
                      Domain-Specific Simulation $\&$ Data Life Cycle Labs (SDLs)
                      and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-2112 / G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000875618500001},
      doi          = {10.3389/fenvs.2022.941490},
      url          = {https://juser.fz-juelich.de/record/910338},
}