Seamless weather and climate for security planning

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Seamless weather and climate for security planning Kirsty Lewis, Principal Climate Change Consultant, Met Office Hadley Centre 28 June 2010 Global Climate Models Mitigation timescale changes could be avoided Observed changes Adaptation timescale changes inevitable

Confident Widespread impacts Melting permafrost Changing weather patterns Storm surges Increased precipitation Reduced ice/snow cover Changes in extremes Increasing temperatures Increased droughts Melting glaciers Sea level rise Ocean acidification Comparing Global Climate Models Multi-model ensembles ( SPM-7 (IPCC, 2007, Fig. ( 1980-99 Projected precipitation changes 2090s (% relative to (- White: <2/3 of models agree on sign of change (+ or Stippled: >90% of models agree on sign of change

Perturbed Physics Ensembles Exploring the range of uncertainty with a single model itself Alter some of the assumed values within the model that are uncertain, within a plausible range, to test the sensitivity of that model to those assumptions Increasing spatial resolution Global model Regional model Country model Site specific model

Generating regional information 300km Global Model 25km Regional Model 50km Regional Model 5km Observed Winter precipitation for 1961-2000 Climate models and decision making

UKCP09 UK climate change projections 25km grid, 16 admin regions, 23 river-basins and 9 marine regions Three different emission scenarios Seven different time frames Moving from uncertainty to probability UKCIP02 Single projection Very unlikely to be less than (10%) UKCP09 Central estimate (50%) Very unlikely to be more than (90%) Summer Rainfall 2080 s

Europe 2003 observations Met Office prediction (Medium-High) Estimated 900 people died in London 35,000 deaths overall in Europe photo: AP Temperature anomaly France: 17 nuclear plants shut or reduced capacity EDF paid ( 300m) 10 x normal rates to buy electricity on open market and 4.5bn missed retail sales Europe 2003 and beyond observations Met Office prediction (Medium-High) 2040s 2060s temperature change ºC 2003

Climate models and impacts Climate data: T, P etc Impacts data: runoff, heat stress, flooding, etc. Global and Regional Climate models Impacts Higher temporal resolution Seasonal to decadal prediction systems

Trend in SW England/Wales July Precipitation Model trend (black line) 95% confidence interval on trend (red/green) 95% prediction interval for precipitation (blue) DePreSys Decadal Prediction Includes initial condition information to predict internally generated natural variability Atmospheric winds, temperature, surface pressure Ocean temperature and salinity As well as accounting for projections of external forcing, both natural and anthropogenic Including changes in greenhouse gases and aerosols Incorporates 11 year solar cycle to project changes in irradiance Decays volcanic aerosols from the start of the forecast.

Two year forecast from June 2005: Precipitation anomalies with respect to 1979-2001 GloSea4 - Seasonal Prediction GloSea4 is a system of running the Met Office HadGEM3 Global Climate Model each week, multiple times, initialised using observed ocean temperatures. Predictability comes from initial conditions and boundary forcings Uncertainty comes mainly from the model itself El Nino 3.4 SST

Climate change and security studies UK Met Office and MoD Met Office has also provided support to MoD policy and planning on issues relating to climate change. E.g. DCDC Global Strategic Trends Strategy think-pieces on the Arctic, Antarctic, Arabian Peninsula

Impacts Summaries Climate change and impacts 7% Brazil s GDP from forestry Amazon Rainforest dries out in some climate models 4.5% of Australia s GDP from tourism By 2080 widespread loss of Great Barrier Reef species 18% India s GDP from agriculture Rice yield declines 10% every 1ºC rise in temperature Malaria could spread to some new areas e.g. southern Italy Provided primarily to the FCO, but other government departments have found these useful Climate Security Projects Scenario planning for MoD Used climate model output to constrain a set of meteorological scenarios for the 2040s for a particular region. Scenarios were consistent with natural variability and the long term climate trend, but not predictive. It allowed security planners to test the resilience of the region in thought experiments

Climate Security Projects Sahel - Climate change and security Joint project with OECD Sahel and West Africa club. Inter-disciplinary study, to analyse climate and nonclimate variables to identify long term trends, rates of change, consequences and adaptation responses. Looked for relationship between climate variables and economic and social indicators of conflict. Now the project is developing a range of scenarios for possible climate evolutions to 2040s, and outlining possible impacts on non-climate variables and their conflict-linkages. www.oecd.org/swac/climatechange Climate Security Projects Vulnerability of global energy infrastructure to climate change - Scoping study Working with the energy industry to explore sensitivity and to map out global distribution of energy infrastructure. Use GCM model output and an evaluation of uncertainty to identify where the climate hazard could be fully explored. This was combined with an evaluation of the availability of information on vulnerability, to identify productive research projects. Government planners can apply knowledge of strategic interest and invest efficiently in research.

Future plans Extending Energy project methodology Climate change information tailored to the subject, which includes uncertainty and natural variability. Allows analysts and policymakers to evaluate when climate change is important and what are the best tools available understand more. Visualisation system Ambitious plans to integrate climate monitoring and attribution, seasonal to decadal predictions and climate change projections in a visualisation system for decision-makers. Questions

Informing decision makers Risk-based approach Risk = Hazard x Vulnerability Hazard is a combination of the Magnitude of an Event and the Likelihood of it occurring. Vulnerability is a combination of Exposure, Resilience and Adaptive Capacity UKMO Climate Impacts & Risk Framework