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UK – China Workshop, July 2008 Global Change and Water Dr Richard Harding Centre for Ecology & Hydrology Wallingford UK [email protected] Coordinator of the FP 6 WATCH – Water and Global Change Integrated Project Global Drivers of Change • Increasing population • Increasing water consumption • Land cover/use change • Increasing greenhouse gases Global Drivers of Change: interactions rainfall GHGs Land cover Climate Water Resources food fuel GHGs Population, Increasing consumption Water Consumption - after Shiklomanov 2000 3000 Assessment Consumption, km 3/year 2500 2000 Agriculture Forecast Industry 1500 Municipal needs Reservoir 1000 Total 500 0 1900 1920 1940 1960 1980 2000 2020 2040 Regional Water Scarcity • One Indicator is the ratio of Water Consumption to Water Availability – World: 1995: 8,4 % 2025: 12,2 % • But: – South America: 2025: 1 – 2 % – Asia: 1995: 40 – 80 % 2025: 60 – 85% – North Africa: 1995: 95 % 2025: 130 % – In some countries already more than 100% of the yearly water supply is consumed. This is unsustainable! Impacts of Climate Change Regional Rainfall Changes FIGURE SPM-6. Relative changes in precipitation (in percent) for the period 2090–2099, relative to1980–1999. Values are multi-model averages based on the SRES A1B scenario for December to February (left) and June to August (right). White areas are where less than 66% of the models agree in the sign of the change and stippled areas are where more than 90% of the models agree in the sign of the change. Areas of physical and economic water scarcity (IWMI, 2006) Precipitation/Runoff transform curves Precipitation Discharge ‚hard rock‘ catchment Groundwater catchment Time Hydrological modelling systems Grid-to-Grid Evaporation, E Precipitation, P Topographic gradient, g Surface flowrouting Smax River Saturation-excess surface runoff S River flow Return flow Drainage, D = KdS3 Subsurface flow-routing Runoff production at each grid-cell. Kinematic wave routing from grid to grid. UK application of prototype model: using the UK Hadley Centre 25km RCM output Precipitation, Percentage change in flood peaks at a 20-year return period (from 1970s to 2080s) Evaporation, E P Topographic gradient, g Surface flow routing S max River Saturation -excess surface runoff S River flow Return flow Drainage, 3 D = KdS Subsurface flow -routing Grid to Grid Climate Impacts Uncertainty in flood estimation River Beult in South East England (Kent) Natural variability: Emissions: Global Climate Model structure: GCM initial conditions: Downscaling: RCM structure: Hydro’ model structure: Hydro’ model parameters: -34 -14 -13 -25 -22 -5 -45 +1 to to to to to to to to +17 -9 +41 -5 -8 +8 - 22 +7 Recurrence interval (years) Kay, A.L., Davies, H.N., Bell, V.A. & Jones, R.A. Comparison of uncertainty sources for climate change impacts: flood frequency in the UK. Submitted: Climatic Change. 1989 2000 SAGARMATHA: Snow and Glacier Aspects of Water Resources Management in the Himalaya 60 Basin boundary Country boundary DCW Glaciers RCM T Change 0 - 1 deg C 1 - 2 deg C 2 - 3 deg C 3 - 4 deg C 4 - 5 deg C 5 - 6 deg C No Data 40 20 %change in decadal mean flow for Ganges from regional climate model output (RCM2) Temperature change 0 1 0 200 Uttarkashi 2 3 4 40 5 6 Allahbad -20 400 600 800 1000 Kilometers Basin boundary Country boundary DCW Glaciers RCM P Change (%) -100 - -50 -50 - 0 0 - 50 50 - 100 100 - 150 150 - 200 200 - 400 400+ No Data -60 0 Uttarkashi 0 1 2 3 4 400 600 800 6 7 Haridwar Allahbad -40 -60 -80 -80 Precipitation change 5 Kanpur -20 Decade 200 Haridwar Kanpur -40 0 7 20 % change % change 60 0 Decade 1000 Kilometers http://www.nwl.ac.uk/ih/www/research/SAGARMATHA/ The WATCH Integrated Project analyse and describe the current global water cycle evaluate how the global water cycle and its extremes respond to future drivers of global change evaluate feedbacks in the coupled system as they affect the global water cycle Feedbacks in the climate hydrological system Past, present and future population, LUCC and water demand Extremes and scales of hydrological events WB5 WB2 WB4 20th Century Global water cycle WB1 21st Century Global water cycle WB3 Assessing the vulnerability of water resources evaluate the uncertainties in the predictions develop a modelling and data framework to assess the future vulnerability of water as a resource WB6 Management, training and dissemination WB7 WATCH New data products: 1. forcing data Time v time-scale coverage for reanalysis products and observations 100 years 10 years 1 year 1 month 1 hour 1 day 2010 ERA Interim 2000 1990 Micro-met observs. GSWP2 1980 Year 1970 ERA40 1960 NCEP-NCAR 1950 1940 1930 1920 1910 CRU 2.1 1900 0.01 0.1 1 10 100 1000 10000 Time-steps per year New data products: 2. global fields -soil 30” degree resolution Combines data from ESB, USDA, SOTER, FAO, CHINA for the best soil dataset available. New data products: 3. global fields – population past and future 0.5 degree resolution 10 year time steps IPCC SRES A2r, B1, B2 scenarios International Institute for Applied System Analysis (IIASA) GGI Scenario Database, 2007. Available at: http://www.iiasa.ac.at/Research/GGI/DB/ Characteristics of models Global Hydrological Models: GHM High resolution Good representation of processes and anthropogenic interventions (dams, landuse, abstractions etc) Good links to water requirements Quick to run/modify Land Surface Hydrology Models LSHM RBHM Realistic representation of energy and evaporation Limited calibration Include many feedbacks (CO2, snow etc) Poor on anthropogenic river modification Complex to run and modify (need diurnal forcing etc) River Basin Hydrological Models Realistic – particularly flow processes, quality etc Good on floods etc Often rely on calibration to particular basins WaterGAP 2 Model - Overview •Land Cover •Climate Global Hydrololgy Water Availability • Runoff • Groundwater recharge calibration River discharge •Population •Income •Technology •Climate Global Water Use River Basin Water Stress Water Withdrawals Wastewater Loadings Model Intercomparison Land surface hydrology models Global hydrology models River basin models G2G WATCH – some deliverables • Improving hydrological components of global hydrology models: groundwater, routing (incl. dams etc), irrigation, inundation, ice .... • New validation – runoff, evaporation .. • Improved driving fields – global 0.5o fields for 20th and 21st century • Regional reanalyses • Improved land cover/land use fields • Model intercomparison with GHMs and LSHMs • Uncertainty analyses of current and future runoff WATCH / MAIRS / UKRC China Science Workshop: 24-28 November 2008 (tentative) Beijing, China Climate Change & Global Water Cycle The workshop will explore: •our current state of knowledge of components of the water cycle, globally and regionally. •recent advances in large scale climate and hydrological modeling in China and Europe. •research interests in China and Europe. •possibilities for joint research Thank you