Estimating future global per capita water availability based on changes in climate and population

Human populations are profoundly affected by water stress, or the lack of sufficient per capita available freshwater. Water stress can result from overuse of available freshwater resources or from a reduction in the amount of available water due to decreases in rainfall and stored water supplies. Analyzing the interrelationship between human populations and water availability is complicated by the uncertainties associated with climate change projections and population projections. We present a simple methodology developed to integrate disparate climate and population data sources and develop first-order per capita water availability projections at the global scale. Simulations from the coupled land-ocean-atmosphere Community Climate System Model version 3 (CCSM3) forced with a range of hypothetical greenhouse gas emissions scenarios are used to project grid-based changes in precipitation minus evapotranspiration as proxies for changes in runoff, or fresh water supply. Population growth changes, according to Intergovernmental Panel on Climate Change (IPCC) storylines, are used as proxies for changes in fresh water demand by 2025, 2050 and 2100. These freshwater supply and demand projections are then combined to yield estimates of per capita water availability aggregated by watershed and political unit. Results suggest that important insights might be extracted from the use of the process developed here, notably including the identification of the globe's most vulnerable regions in need of more detailed analysis and the relative importance of population growth versus climate change in altering future freshwater supplies. However, these are only exemplary insights and, as such, could be considered hypotheses that should be rigorously tested with multiple climate models, multiple observational climate datasets, and more comprehensive population change storylines.

[1]  P. McIntyre,et al.  Global threats to human water security and river biodiversity , 2010, Nature.

[2]  T. Oki,et al.  The implications of projected climate change for freshwater resources and their management , 2008 .

[3]  Vincent R. Gray Climate Change 2007: The Physical Science Basis Summary for Policymakers , 2007 .

[4]  Richard L. Smith,et al.  Regional probabilities of precipitation change: A Bayesian analysis of multimodel simulations , 2004 .

[5]  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.

[6]  J. Quiggin Uncertainty and Climate Change Policy , 2008 .

[7]  J. E. Dobson,et al.  LandScan: A Global Population Database for Estimating Populations at Risk , 2000 .

[8]  Karsten Steinhaeuser,et al.  Persisting cold extremes under 21st‐century warming scenarios , 2011 .

[9]  William,et al.  Uncertainty and Climate Change Policy , 1997 .

[10]  Q. Schiermeier The real holes in climate science , 2010, Nature.

[11]  Joseph Alcamo,et al.  Critical regions: A model-based estimation of world water resources sensitive to global changes , 2002, Aquatic Sciences.

[12]  A. Ganguly,et al.  Intensity, duration, and frequency of precipitation extremes under 21st-century warming scenarios , 2011 .

[13]  Reto Knutti,et al.  The end of model democracy? , 2010 .

[14]  J. Canadell,et al.  Global and regional drivers of accelerating CO2 emissions , 2007, Proceedings of the National Academy of Sciences.

[15]  Richard L. Smith,et al.  Bayesian Modeling of Uncertainty in Ensembles of Climate Models , 2009 .

[16]  Corinne Le Quéré,et al.  Trends in the sources and sinks of carbon dioxide , 2009 .

[17]  O. Krüger,et al.  Southern Ocean phytoplankton increases cloud albedo and reduces precipitation , 2011 .

[18]  Reto Knutti,et al.  Challenges in Combining Projections from Multiple Climate Models , 2010 .

[19]  Jeffrey A. Edwards,et al.  Water Availability and Economic Development...Signs of the Invisible Hand? An Empirical Look at the Falkenmark Index and Macroeconomic Development , 2005 .

[20]  C. Vörösmarty,et al.  Global water resources: vulnerability from climate change and population growth. , 2000, Science.

[21]  Karsten Steinhaeuser,et al.  Higher trends but larger uncertainty and geographic variability in 21st century temperature and heat waves , 2009, Proceedings of the National Academy of Sciences.

[22]  B. Santer,et al.  Selecting global climate models for regional climate change studies , 2009, Proceedings of the National Academy of Sciences.

[23]  Peter H. Gleick,et al.  Comprehensive Assessment of the Freshwater Resources of the World , 1997 .

[24]  Evan H. Girvetz,et al.  Evaluating Sustainability of Projected Water Demands Under Future Climate Change Scenarios , 2010 .

[25]  B. Santer,et al.  Incorporating model quality information in climate change detection and attribution studies , 2009, Proceedings of the National Academy of Sciences.

[26]  Scott A. Sisson,et al.  Smaller projected increases in 20‐year temperature returns over Australia in skill‐selected climate models , 2009 .

[27]  N. Arnell Climate change and global water resources: SRES emissions and socio-economic scenarios , 2004 .

[28]  M. Flörke,et al.  Future long-term changes in global water resources driven by socio-economic and climatic changes , 2007 .

[29]  Philip W. Jones,et al.  Overview of the Software Design of the Community Climate System Model , 2005, Int. J. High Perform. Comput. Appl..

[30]  Upmanu Lall,et al.  Probabilistic multimodel regional temperature change projections , 2006 .

[31]  Budhendra L. Bhaduri,et al.  Metrics for the comparative analysis of geospatial datasets with applications to high-resolution grid-based population data , 2007 .