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213 Pages·2004·1.44 MB·Dutch
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Anchoring amid uncertainty On the management of uncertainties in risk assessment of anthropogenic climate change Houvast zoeken in onzekerheid Over het omgaan met onzekerheden in risicoanalyse van klimaatverandering door menselijk handelen (met een samenvatting in het Nederlands) Proefschrift Ter verkrijging van de graad van doctor aan de universiteit utrecht, op gezag van de rector magnificus Prof. dr. J.A. Van Ginkel, ingevolge het besluit van het college van Decanen in het openbaar te verdedigen op maandag 21 april 1997 om 16.15 uur. door Jeroen Pieter van der Sluijs geboren te Herwijnen in 1965 Promotoren: prof.dr. Josee C.M. van Eijndhoven prof.dr. Wim C. Turkenburg Beoordelingscommissie: prof.dr.ir. P.J.H. Builtjes (Utrecht University) prof.dr. P. Vellinga (Free University of Amsterdam) prof.dr. W.C. Clark (Harvard University) prof.dr. J. Goudriaan (Agricultural University Wageningen) dr. J. Ravetz (The Research Methods Consultancy Ltd., London) Wij zijn maar als de blaren in den wind ritselend langs de zoom van oude wouden, en alles is onzeker, en hoe zouden wij weten wat alleen de wind weet, kind - (AdriaanRolandHolst,Zwerversliefde, GrootNederlandII,9,1913,p.580) Aan Gemma Contents: List of acronyms, abbreviations, and chemical symbols 1. General Introduction 1.1 Introduction 1.2 Anthropogenic climate change 1.2.1 Temperature and the radiation balance 1.2.2 The natural greenhouse effect 1.2.3 The enhanced greenhouse effect 1.2.4 Climate change 1.3 Short history of the climate change issue 1.3.1 Research on anthropogenic climate change 1.3.2 Climate risk assessment 1.3.3. Climate change policy development 1.3.4 Controversies on global warming 1.4 Basic notions 1.4.1 Climate risk assessment and post normal science 1.4.2 Uncertainty as a social construct 1.5 Objective, research questions and outline of this thesis 1.6 References 2. Anchoring Devices in Science For Policy: The Case of Consensus Around Climate Sensitivity 2.1 Introduction 2.2 Science for policy 2.3 The CO doubling temperature: a history of sticking to the same numbers 2 2.3.1 The concept of the ’climate sensitivity’ 2.3.2 The construction of the estimate for climate sensitivity 2.3.3 The ’best guess’ and the uncertainty of the climate sensitivity range 2.3.4 Different meanings and functions of climate sensitivity 2.3.5 Multiple functions and uses of the climate sensitivity 2.3.6 The 1.5°C to 4.5°C temperature range as anchoring device in the climate debate 2.4 Conclusion and discussion 2.5 Acknowledgements 2.6 Notes 3 Closure of Disputes in the Assessments of Climate Change in the Netherlands Arena 3.1 Introduction 3.2 The closure time lines 3.3 The construction of the Gezondheidsraad assessments 3.3.1 The Construction of the Gezondheidsraad estimate for climate sensitivity 3.3.2 The CO focus of the Gezondheidsraad 2 3.4 Discussion and Conclusion 3.5 Acknowledgements 3.6 References 4 Biogenic Feedbacks in the Carbonate-Silicate Geochemical Cycle and the Global Climate 4.1 Introduction 4.2 The carbonate-silicate geochemical cycle 4.3 The model 4.4 Results 4.5 Conclusions and discussion 4.6 Acknowledgements 4.7 References appendix A The 0-dimensional temperature model 5 Possibilities and Limitations of Integrated Assessment Models for the Climate Issue 5.1 Introduction 5.2 The emergence of IAMs as a science-policy interface 5.3 What are IAMs? 5.3.1 Definitions of IAMs 5.3.2 Variability in IAM-modelling practice 5.4 Key uncertainties and limitations faced by IAMs of the climate issue 5.4.1 Culture and Values 5.4.2 Demands for goods and services 5.4.3 Choice of technologies and practices 5.4.4 Fluxes of material in the environment 5.4.5 Valued Environmental Components 5.4.6 Exposure 5.4.7 Consequences 5.5 The usefulness and use of IAMs for the climate issue 5.5.1 The policy-usefulness of climate IAMs 5.5.2 The context of use of IAMs 5.6 Conclusions 5.7 Acknowledgments 5.8 References 6 Integrated Assessment Models of Climate Change and the Management of Uncertainties 6.1 Introduction 6.2 Classifications of uncertainty 6.3 Addressing uncertainty due to inexactness 6.3.1 Uncertainties in input data and model parameters 6.3.2 Uncertainties regarding conceptual model structure and technical model structure 6.3.3 Uncertainties regarding model completeness 6.4 Addressing unreliability: quality control in IAM practice 6.5 Addressing ignorance 6.5.1 Reducing ignorance through research, a paradox 6.5.2 The modelling of surprise 6.6 Areas for improvement in uncertainty management 6.7 Disentangling the uncertainty problem: adding the quality dimension 6.8 Conclusions 6.9 Acknowledgements 6.10 References 7 Major conclusions of this thesis Summary Samenvatting Curriculum Vitae Research publications Nawoord List of acronyms, abriviations, and chemical symbols AAAS American Association for the Advancement of Science AGGG Advisory Group on Greenhouse Gases AIM Asian-Pacific Integrated Model ASF Atmospheric Stabilization Framework ASTM American Society for Testing and Materials BLAG Long-term carbon cycle model by Berner LAsaga and Garrels CCC Canadian Climate Center CCN Cloud Condensation Nuclei CCOL Coordination Committee on the Ozone Layer CETA Carbon Emission Trajectory Assessment CFCs Chlorofluorocarbons CH CCl Methychloroform 3 3 CH Methane 4 CH Cl Dichloromethane 2 2 CHCl Chloroform 3 CIM Coordination Committee Concerning International Environmental Affairs (The Netherlands) CLW Cloud Liquid Water CO Carbon Monoxide CO Carbon Dioxide 2 CoP Conference of Parties (to the Climate Convention) CRMH Central Council for Environmental Hygiene (The Netherlands) CSERGE Center for Social and Economic Research into the Global Environment DGM Directorate General for Environmental Protection (VROM, NL) DICE Dynamic Integrated Climate Economy DMS Di Methyl Sulphide EHEP Experimental High Energy Physics ENSO El Niño Southern Oscillation ESCAPE Evaluation of Strategies to address Climate change by Adapting to and Preventing Emissions EPA Environmental Protection Agency (USA) ESM Earth System Model FCCC see UNFCCC FUND The Climate Framework for Uncertainty, Negotiation, and Distribution GCAM Global Change Assessment Model GCM General Circulation Model (also: Global Circulation Model) GCTE Global Change and Terrestrial Ecosystems GDP Gross Domestic Product GEOCARB GEOchemical CARBoncycle model by Robert Berner GFDL Geophysics Fluid Dynamics Laboratory GHGs GreenHouse Gases GISS NASA Goddard Institute of Space Studies GNP Gross National Product CSIRO Commonwealth Scientific and Industrial Research Organization (Australia) CSGC Carbonate-Silicate Geochemical Cycle HDGEG Human Dimensions of Global Environmental Change IAM Integrated Assessment Model ICAM Integrated Climate Assessment Model ICMH Interdepartmental Committee Environmental Hygiene (NL) ICSU International Council of Scientific Unions IEA Integrated Environmental Assessment IGBP International Geosphere Biosphere Programme IGY International Geophysical Year IIASA International Institute for Applied Systems Analysis IMAGE Integrated Model to Assess the Greenhouse Effect IMP Indicative Multi-year Program on Air (NL) INC International Negotiating Committee (on the FCCC) IPCC Intergovernmental Panel on Climate Change IPCC WGI Intergovernmental Panel on Climate Change, Working Group I IS92a-f IPCC Scenario a up to and including scenario f, as defined in the 1992 IPCC report ISSC International Social Science Council ISM Integrated Science Model for assessment of climate change KNMI Koninklijk Nederlands Meteorologisch Instituut (Royal Netherlands Meteorological Institute) (NL) LASOM National Steering Group Environmental Research (NL) LMD Laboratoire de Météorologie Dynamique (France) LOS Norwegian Research Centre in Organisation and Management MAB Man and the Biosphere program MAGICC Model for the Assessment of Greenhouse gas Induced Climate Change MARIA Multiregional Approach for Resource and Industry Allocation MARKAL Market Allocation MBIS MacKenzie Basin Impact Study MCS Monte Carlo Simulation MCW Model of Global Warming Commitment MERGE Model for Evaluating Regional and Global Effects of GHG Reductions Policies MIT Massachusetts Institute of Technology MiniCAM Mini Climate Assessment Model MPI Max Planck Institute for Meteorology N O Nitrous Oxide 2 NAPAP National Acid Precipitation Assessment Program (USA) NAS National Academy of Sciences (USA) NCAR National Center for Atmospheric Research (USA) NGO Non-Governmental Organization NH Ammonia 3 NO Nitric Oxide (NO) and/or Nitrogen Dioxide (NO ) x 2 NRP Netherlands National Research Programme on Global Air Pollution and Climate Change NUSAP Numeral Unit Spread Assessment Pedigree notational system NWO Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organization for Scientific Research) (NL) O Ozone 3 OECD-GREEN Organization for Economic Co-operation and Development GREEN model PAGE Policy Analysis of the Greenhouse Effect PAGES PAst Global changES (part of IGBP) PC Personal Computer PEF Policy Evaluation Framework ppmv Parts per million by volume (a measure of concentration) ppbv Parts per billion by volume (a measure of concentration) ProCAM Process Oriented Global Change Assessment Model RAINS Regional Acidification INformation and Simulation RH Relative Humidity RICE Regional Integrated Climate Economy (regionalized version of the Nordhaus’ DICE model) RIVM Rijksinstituut voor Volksgezondheid en Milieuhygiene (National Institute of Public Health and Environmental Protection) (NL) RMNO Raad voor het Milieu- en Natuuronderzoek (Advisory Council for Research on Nature and Environment) (NL) SAR IPCC’s Second Assessment Report SBSTA Subsidiary Body for Scientific and Technological Advice SCOPE Scientific Committee on the Problems of the Environment SF Stability Factor SF Sulfur Hexafluoride 6 SMIC Study of Man’s Impact on Climate SO Sulfur dioxide 2 SSK Sociology of Scientific Knowledge TARGETS Tool to Assess Regional and Global Environmental and Health Targets for Sustainability UK United Kingdom UKMO United Kingdom Meteorological Office ULYSSES Urban LifestYles, SuStainability, and Environmental aSsessment UN United Nations UNEP United Nations Environmental Programme UNESCO United Nations Educational, Scientific, and Cultural Organisation UNFCCC United Nations Framework Convention on Climate Change US United States of America VEC Valued Environmental Component VOC Volatile Organic Compound VROM Ministerie van Volkshuisvesting, Ruimtelijke Ordening en Milieuhygiene (Netherlands Ministry of Housing, Physical Planning and the Environment) (NL) WAIS West Antarctic Ice Sheet WCRP World Climate Research Programme WMO World Meteorological Organization WRI World Resources Institute WRR Wetenschappelijke Raad voor het Regerings Beleid (Scientific Council for Government Policy (NL) YSSP IIASA Young Scientist Summer Program 1. General Introduction 1.1 Introduction 1.2 Anthropogenic climate change 1.2.1 Temperature and the radiation balance 1.2.2 The natural greenhouse effect 1.2.3 The enhanced greenhouse effect 1.2.4 Climate change 1.3 Short history of the climate change issue 1.3.1 Research on anthropogenic climate change 1.3.2 Climate risk assessment 1.3.3 Climate change policy development 1.3.4 Controversies on global warming 1.4 Basic notions 1.4.1 Climate risk assessment and post-normal science 1.4.2 Uncertainty as a social construct 1.5 Objective, research questions and thesis outline 1.6 References 1.1 Introduction Over the past few decades, several attempts have been made to assess to what extent man-made emissions of greenhouse gases may change the Earth’s climate. This thesis consists mainly of a critical analysis of the processes by which the climate issue has been assessed over that period. We focus particularly on the question of uncertainty management in climate risk assessment. Assessments serve as a scientific basis for the climate policy debate. The overall scientific objective of this dissertation is to gain insight into the processes by which assessments of the risks of anthropogenic climate change are constructed and more specifically into the way in which uncertainty management is conducted within these processes. This insight can help us to identify ways of managing uncertainties in the assessments better and ways of strengthening the role of assessment as a frame of reference acceptable to actors in the policy process. Assessment is the analysis and review of information derived from research for the purpose of helping someone in a position of responsibility to evaluate possible actions or think about a problem. Assessment usually does not mean doing new research. Assessment means assembling, summarizing, organizing, interpreting, and possibly reconciling pieces of existing knowledge, and communicating them so that they are relevant and helpful for the deliberations of an intelligent but inexpert policy-maker (Parson, 1995). Experts started drafting assessment reports on climate change for policy-makers when research into anthropogenic climate change, and especially climate modelling, was still in an early stage of development. The first notable assessments of the climate 1

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Houvast zoeken in onzekerheid. Over het omgaan 22, 4, 1998, p.597-609; chapter 4 in American Journal of Science,. 296 (8), 1996 . Market Allocation. MBIS.
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