The global and regional impacts of climate change under representative concentration pathway forcings and shared socioeconomic pathway socioeconomic scenarios

This paper presents an evaluation of the global and regional consequences of climate change for heat extremes, water resources, river and coastal flooding, droughts, agriculture and energy use. It presents change in hazard and resource base under different rates of climate change (representative concentration pathways (RCP)), and socio-economic impacts are estimated for each combination of RCP and shared socioeconomic pathway. Uncertainty in the regional pattern of climate change is characterised by CMIP5 climate model projections. The analysis adopts a novel approach using relationships between level of warming and impact to rapidly estimate impacts under any climate forcing. The projections provided here can be used to inform assessments of the implications of climate change. At the global scale all the consequences of climate change considered here are adverse, with large increases under the highest rates of warming. Under the highest forcing the global average annual chance of a major heatwave increases from 5% now to 97% in 2100, the average proportion of time in drought increases from 7% to 27%, and the average chance of the current 50 year flood increases from 2% to 7%. The socio-economic impacts of these climate changes are determined by socio-economic scenario. There is variability in impact across regions, reflecting variability in projected changes in precipitation and temperature. The range in the estimated impacts can be large, due to uncertainty in future emissions and future socio-economic conditions and scientific uncertainty in how climate changes in response to future emissions. For the temperature-based indicators, the largest source of scientific uncertainty is in the estimated magnitude of equilibrium climate sensitivity, but for the indicators determined by precipitation the largest source is in the estimated spatial and seasonal pattern of changes in precipitation. By 2100, the range across socio-economic scenario is often greater than the range across the forcing levels.

[1]  N. W. Arnell,et al.  Global and regional impacts of climate change at different levels of global temperature increase , 2019, Climatic Change.

[2]  Roger M. Cooke,et al.  Ice sheet contributions to future sea-level rise from structured expert judgment , 2019, Proceedings of the National Academy of Sciences.

[3]  R. Sutton.  ESD Ideas: a simple proposal to improve the contribution of IPCC WGI to the assessment and communication of climate change risks , 2018, Earth System Dynamics.

[4]  F. Otto,et al.  How Uneven Are Changes to Impact‐Relevant Climate Hazards in a 1.5 °C World and Beyond? , 2018, Geophysical Research Letters.

[5]  T. Osborn,et al.  Performance of Pattern-Scaled Climate Projections under High-End Warming. Part I: Surface Air Temperature over Land , 2018, Journal of Climate.

[6]  M. Vousdoukas,et al.  Global probabilistic projections of extreme sea levels show intensification of coastal flood hazard , 2018, Nature Communications.

[7]  C. Rosenzweig,et al.  Climate Shifts within Major Agricultural Seasons for +1.5 and +2.0 °C Worlds: HAPPI Projections and AgMIP Modeling Scenarios. , 2018, Agricultural and forest meteorology.

[8]  Michael Obersteiner,et al.  Global exposure and vulnerability to multi-sector development and climate change hotspots , 2018 .

[9]  S. Seneviratne,et al.  Crop productivity changes in 1.5 °C and 2 °C worlds under climate sensitivity uncertainty , 2018 .

[10]  J. Lowe,et al.  The impact of Earth system feedbacks on carbon budgets and climate response , 2018, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[11]  E. Fischer,et al.  Extreme heat waves under 1.5 °C and 2 °C global warming , 2018 .

[12]  R. Betts,et al.  Global Changes in Drought Conditions Under Different Levels of Warming , 2018 .

[13]  R. Betts,et al.  Changes in climate extremes, fresh water availability and vulnerability to food insecurity projected at 1.5°C and 2°C global warming with a higher-resolution global climate model , 2018, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[14]  C. Tebaldi,et al.  The Benefits of Reduced Anthropogenic Climate changE (BRACE): a synthesis , 2018, Climatic Change.

[15]  C. Deser,et al.  Future risk of record-breaking summer temperatures and its mitigation , 2018, Climatic Change.

[16]  C. Tebaldi,et al.  Benefits of mitigation for future heat extremes under RCP4.5 compared to RCP8.5 , 2018, Climatic Change.

[17]  M. Maslin,et al.  The Lancet Countdown on health and climate change: from 25 years of inaction to a global transformation for public health. , 2018, Lancet.

[18]  Solomon Hsiang,et al.  Estimating economic damage from climate change in the United States , 2017, Science.

[19]  J. Rogelj,et al.  Characterizing half‐a‐degree difference: a review of methods for identifying regional climate responses to global warming targets , 2017 .

[20]  L. Feyen,et al.  Global projections of river flood risk in a warmer world , 2017 .

[21]  Wolfgang Lutz,et al.  The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100 , 2017, Global environmental change : human and policy dimensions.

[22]  Andrew J. Challinor,et al.  Current warming will reduce yields unless maize breeding and seed systems adapt immediately , 2016 .

[23]  Brian C. O'Neill,et al.  The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6 , 2016 .

[24]  Brian C. O'Neill,et al.  Spatially explicit global population scenarios consistent with the Shared Socioeconomic Pathways , 2016 .

[25]  J. Orbell,et al.  The relative importance of climate change and population growth for exposure to future extreme droughts , 2016, Climatic Change.

[26]  D. Vuuren,et al.  Global drivers of future river flood risk , 2016 .

[27]  Ian Harris,et al.  Pattern scaling using ClimGen: monthly-resolution future climate scenarios including changes in the variability of precipitation , 2016, Climatic Change.

[28]  R. Nicholls,et al.  Global-scale climate impact functions: the relationship between climate forcing and impact , 2016, Climatic Change.

[29]  R. Nicholls,et al.  The impacts of climate change across the globe: A multi-sectoral assessment , 2016, Climatic Change.

[30]  N. Arnell,et al.  The impacts of climate change on river flood risk at the global scale , 2016, Climatic Change.

[31]  N. Arnell,et al.  A global assessment of the impact of climate change on water scarcity , 2016, Climatic Change.

[32]  S. Seneviratne,et al.  Allowable CO2 emissions based on regional and impact-related climate targets , 2016, Nature.

[33]  C. Tebaldi,et al.  Estimated impacts of emission reductions on wheat and maize crops , 2015, Climatic Change.

[34]  E. Fischer,et al.  Differential climate impacts for policy-relevant limits to global warming: the case of 1.5 °C and 2 °C , 2015 .

[35]  G. Balsamo,et al.  The WFDEI meteorological forcing data set: WATCH Forcing Data methodology applied to ERA‐Interim reanalysis data , 2014 .

[36]  C. Tebaldi,et al.  Probabilistic 21st and 22nd century sea‐level projections at a global network of tide‐gauge sites , 2014 .

[37]  P. Jones,et al.  Updated high‐resolution grids of monthly climatic observations – the CRU TS3.10 Dataset , 2014 .

[38]  X. Fettweis,et al.  Coastal flood damage and adaptation costs under 21st century sea-level rise , 2014, Proceedings of the National Academy of Sciences.

[39]  Keywan Riahi,et al.  A new scenario framework for Climate Change Research: scenario matrix architecture , 2014, Climatic Change.

[40]  W. Collins,et al.  Evaluation of climate models , 2013 .

[41]  David B. Lobell,et al.  Global crop exposure to critical high temperatures in the reproductive period: historical trends and future projections , 2013 .

[42]  Pete Smith,et al.  A global assessment of the effects of climate policy on the impacts of climate change , 2013 .

[43]  T. Andrews,et al.  Evaluating adjusted forcing and model spread for historical and future scenarios in the CMIP5 generation of climate models , 2013 .

[44]  Nigel W. Arnell,et al.  Simulating current global river runoff with a global hydrological model: model revisions, validation, and sensitivity analysis , 2011 .

[45]  Qunying Luo.  Temperature thresholds and crop production: a review , 2011 .

[46]  D. Deryng,et al.  Crop planting dates: an analysis of global patterns. , 2010 .

[47]  S. Vicente‐Serrano,et al.  A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index , 2009 .

[48]  P. Döll,et al.  MIRCA2000—Global monthly irrigated and rainfed crop areas around the year 2000: A new high‐resolution data set for agricultural and hydrological modeling , 2010 .

[49]  Christa Erickson,et al.  Climate shifts , 2009, SIGGRAPH ASIA '09.

[50]  Sergio M. Vicente-Serrano,et al.  A multi-scalar drought index sensitive to global warming: The Standardized Precipitation Evapotranspiration Index - SPEI , 2009 .

[51]  D. Vuuren,et al.  Modeling global residential sector energy demand for heating and air conditioning in the context of climate change , 2009 .

[52]  R. Nicholls,et al.  A New Global Coastal Database for Impact and Vulnerability Analysis to Sea-Level Rise , 2008 .

[53]  N. Ramankutty,et al.  Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000 , 2008 .

[54]  N. Ramankutty,et al.  Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000 , 2008 .

[55]  S. Shukla,et al.  Use of a standardized runoff index for characterizing hydrologic drought , 2008 .

[56]  J. Hinkel,et al.  DIVA: an iterative method for building modular integrated models , 2005 .

[57]  Andrew J. Plater,et al.  Book reviewSea-level change: Roger Revelle; Studies in Geophysics, National Research Council, National Academy Press, Washington, DC, 1990; xii + 246 pp.; USD 29.95, GBP 25.75; ISBN 0-309-04039 , 1992 .

[58]  K. Riahi,et al.  The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century , 2017 .

[59]  Jean Chateau,et al.  Long-term economic growth projections in the Shared Socioeconomic Pathways , 2017 .

[60]  J. Eom,et al.  The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview , 2017 .

[61]  M. Ha-Duong,et al.  Climate change 2014 - Mitigation of climate change , 2015 .

[62]  L. Clarke,et al.  Assessing Transformation Pathways , 2014 .

[63]  N. Arnell,et al.  The global-scale impacts of climate change on water resources and flooding under new climate and socio-economic scenarios , 2013, Climatic Change.

[64]  L. K. Gohar,et al.  How difficult is it to recover from dangerous levels of global warming? , 2009 .