Concept of loss and damage of climate change – a new challenge for climate decision-making? A climate science perspective

Loss and damage (L&D) of climate change is a relatively new work stream of the international climate change regime. Lacking a clear official definition, L&D has triggered a debate about framing the topic, incorporating technical aspects of disaster risk reduction (DRR) and climate change adaptation as well as political considerations such as the idea of compensation for vulnerable countries. This paper reviews the implications of L&D for decision-making with a special focus on the role of climate science. We identify three broad policy goals embedded in the discussion: creating awareness about the sensitivity of human and natural systems to climate change; developing risk reduction and risk management approaches to enhance adaptation, reduce vulnerability and build resilience and informing compensation mechanisms. For all of these, an understanding of the current and future climate-related L&D is needed. Existing decision-making frameworks can help deal with uncertainties and avoid a ‘wait and see’ mentality for most L&D decisions. The compensation component of L&D, however, offers a different dimension to the climate change discussion. While recognizing the political and moral reasons driving the debate around compensation, an increased focus on the complex and possibly unsolvable attribution question might put on hold efforts to integrate adaptation to climate change with wider development aims and DRR, blocking necessary action.

[1]  Myles T. Collins,et al.  Managing the Risk of Uncertain Threshold Responses: Comparison of Robust, Optimum, and Precautionary Approaches , 2007, Risk analysis : an official publication of the Society for Risk Analysis.

[2]  Mark New,et al.  Modelling the impact of climate change on water resources. , 2010 .

[3]  James S. Risbey,et al.  Sources of knowledge and ignorance in climate research , 2011 .

[4]  Monika Adamczak-Retecka,et al.  Warsaw International Mechanism for Loss and Damage associated with climate change impacts. , 2016 .

[5]  P. Friedlingstein,et al.  Scenario and modelling uncertainty in global mean temperature change derived from emission-driven global climate models , 2012 .

[6]  P. Stott,et al.  Anthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000 , 2011, Nature.

[7]  C. Field Managing the risks of extreme events and disasters to advance climate change adaption , 2012 .

[8]  D. Sprinz,et al.  The Compensation Fund for Climate Impacts , 2013 .

[9]  K Hewitt,et al.  Excluded Perspectives in the Social Construction of Disaster , 1995, International Journal of Mass Emergencies & Disasters.

[10]  I. Gilboa Theory Of Decision Under Uncertainty , 2009 .

[11]  Corinne Le Quéré,et al.  Climate Change 2013: The Physical Science Basis , 2013 .

[12]  E. Hawkins,et al.  The Potential to Narrow Uncertainty in Regional Climate Predictions , 2009 .

[13]  Robert U. Ayres,et al.  The greenhouse effect: Damages, costs and abatement , 1991 .

[14]  B. Smit,et al.  Human adaptation to climatic variability and change , 1997 .

[15]  N. Reynard,et al.  Climate adaptation: Risk, uncertainty and decision-making. UKCIP Technical Report , 2003 .

[16]  K. Trenberth Framing the way to relate climate extremes to climate change , 2012, Climatic Change.

[17]  Houghton,et al.  A Special Report of Working Groups I and III of the Intergovernmental Panel on Climate Change , 2014 .

[18]  N. Reynard,et al.  Climate adaptation: Risk, uncertainty and decision-making. UKCIP Technical Report , 2003 .

[19]  L. Bouwer Projections of Future Extreme Weather Losses Under Changes in Climate and Exposure , 2013, Risk Analysis.

[20]  E. Schipper Conceptual history of adaptation in the UNFCCC process , 2006 .

[21]  M. Shamsuddoha,et al.  Establishing Links between Disaster Risk Reduction and Climate Change Adaptation in the Context of Loss and Damage. Policies and Approaches in Bangladesh , 2013 .

[22]  R. Wilby,et al.  Emerging Approaches to Climate Risk Management , 2010 .

[23]  Stephen H. Schneider,et al.  CO2, Climate and Society: A Brief Overview , 1983 .

[24]  Francis W. Zwiers,et al.  Difficult but not impossible , 2011 .

[25]  S. Huq,et al.  Evidence from the frontlines of climate change: loss and damage to communities despite coping and adapation , 2012 .

[26]  Kevin E. Trenberth,et al.  Climate extremes and climate change: The Russian heat wave and other climate extremes of 2010 , 2012 .

[27]  Anand Patwardhan,et al.  Toward a Sustainable and Resilient Future , 2012 .

[28]  Robert J. Lempert,et al.  Managing Risk with Climate Vulnerability Science , 2013 .

[29]  Leonard A. Smith,et al.  Adaptation to Global Warming: Do Climate Models Tell Us What We Need to Know? , 2010, Philosophy of Science.

[30]  S. Dessai,et al.  Is Weather Event Attribution Necessary for Adaptation Funding? , 2011, Science.

[31]  D A Stainforth,et al.  Confidence, uncertainty and decision-support relevance in climate predictions , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[32]  J. Palutikof,et al.  Climate change 2007 : impacts, adaptation and vulnerability , 2001 .

[33]  T. Stocker,et al.  Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of IPCC Intergovernmental Panel on Climate Change , 2012 .

[34]  Richard S. J. Tol,et al.  State responsibility and compensation for climate change damages--a legal and economic assessment , 2004 .

[35]  Joern Birkmann,et al.  Current knowledge on relevant methodologies and datarequirements as well as lessons learned and gaps identified at different levels, in assessing the risk of loss and damage associated with the adverse effects of climate change , 2012 .

[36]  Jim W. Hall,et al.  Probabilistic climate scenarios may misrepresent uncertainty and lead to bad adaptation decisions , 2007 .

[37]  Unfccc Kyoto Protocol to the United Nations Framework Convention on Climate Change , 1997 .

[38]  Reto Knutti,et al.  The use of the multi-model ensemble in probabilistic climate projections , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[39]  R. Kerr Predicting climate change. Vital details of global warming are eluding forecasters. , 2011, Science.

[40]  Robert J Lempert,et al.  A new decision sciences for complex systems , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[41]  Suraje Dessai,et al.  Robust adaptation to climate change , 2010 .

[42]  T. Ouarda,et al.  Use of Systematic, Palaeoflood and Historical Data for the Improvement of Flood Risk Estimation. Review of Scientific Methods , 2004 .

[43]  Robert L. Wilby,et al.  A review of climate risk information for adaptation and development planning , 2009 .

[44]  M. Hulme,et al.  Assessing the robustness of adaptation decisions to climate change uncertainties: A case study on water resources management in the East of England , 2007 .

[45]  Jan Corfee-Morlot,et al.  An assessment of the potential impact of climate change on flood risk in Mumbai , 2011 .

[46]  Ailbhe Travers,et al.  Compendium on methods and tools to evaluate impacts of, and vulnerability and adaptation to, climate change , 2008 .

[47]  T. Kram,et al.  The use of scenarios as the basis for combined assessment of climate change mitigation and adaptation , 2011 .

[48]  Kanae Hasegawa GAR: Global Assessment Report on Disaster Risk Reduction 2013 , 2013 .

[49]  A. Millner,et al.  A DAPTATION IN THE UK : a decision-making process Technical Annexes , 2010 .

[50]  Jean-Pascal van Ypersele de Strihou,et al.  Towards New Scenarios for Analysis of Emissions, Climate Change, Impacts, and Response Strategies , 2008 .

[51]  Robert J. Lempert,et al.  Do We Need Better Predictions to Adapt to a Changing Climate , 2009 .

[52]  A. Henderson-Sellers,et al.  An antipodean climate of uncertainty? , 1993 .

[53]  D. Farber The Case for Climate Compensation: Justice for Climate Change Victims in a Complex World , 2008 .

[54]  Simon Dietz,et al.  Adaptation in the UK: a decision-making process , 2010 .

[55]  Stephane Hallegatte,et al.  Strategies to adapt to an uncertain climate change , 2008 .

[56]  Roger A. Pielke,et al.  Keeping prediction in perspective , 2009 .

[57]  P. Stott,et al.  Human contribution to the European heatwave of 2003 , 2004, Nature.

[58]  Stefano Schiavon,et al.  Climate Change 2007: The Physical Science Basis. , 2007 .

[59]  Peter Scott,et al.  Scientific Challenges in the Attribution of Harm to Human Influence on Climate , 2007 .

[60]  Thomas C. Peterson,et al.  Explaining Extreme Events of 2014 from a Climate Perspective , 2015 .

[61]  Jim W. Hall,et al.  Fluvial flood risk management in a changing world , 2010 .

[62]  Nicholas Stern,et al.  Uncertainty in science and its role in climate policy , 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[63]  Pierre Friedlingstein,et al.  A Review of Uncertainties in Global Temperature Projections over the Twenty-First Century , 2008 .

[64]  Gerrit Hansen,et al.  Loss and damage attribution , 2013 .