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A THORPEX Pacific Predictability Experiment: User and Social Science Research Perspectives Rebecca E. Morss National Center for Atmospheric Research (Thanks.

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Presentation on theme: "A THORPEX Pacific Predictability Experiment: User and Social Science Research Perspectives Rebecca E. Morss National Center for Atmospheric Research (Thanks."— Presentation transcript:

1 A THORPEX Pacific Predictability Experiment: User and Social Science Research Perspectives Rebecca E. Morss National Center for Atmospheric Research (Thanks to: Jeff Lazo, Brian Mills, Mary Altalo, and others)

2 THORPEX Societal and Economic Application (SEA) Research Ideas Identify high-impact weather forecasts Assess the impact of improved forecasts Develop advanced forecast verification measures Estimate net benefits of improved forecast systems Develop new user-specific weather products Facilitate transfer of THORPEX advances to forecast centres throughout the world Demonstration projects

3 Identify High-Impact Weather Forecasts “High-impact weather forecasts are defined by their effect on society, the economy, and the natural environment” –(Improved) weather forecasts that can most benefit society –Defined societally, not meteorologically (although “forecasts of high-impact weather” are likely a subset) More specific definition needed because it underlies SEA and other THORPEX research

4 Identify High-Impact Weather Forecasts Regionally, inventory and synthesize user needs for improved forecasts

5 Examples of Users (From: THORPEX International Science Plan)

6 Identify High-Impact Weather Forecasts Regionally, inventory and synthesize user needs for improved forecasts –e.g., in western U.S.: water, irrigation, and power Compare “busts” and “good” forecasts from modeler, forecaster, and user perspectives Examine indicators of weather-related risk/ opportunity and economic impacts for different users/sectors

7 Assess the Impact of Improved Forecasts Estimate value of current/improved forecasts via: –Modeling of user decisions (idealized implementation: cost/loss models) –Experimental economics (idealized → realistic) –Non-market valuation –Analysis of market data –Non-economic methodologies Need baseline knowledge on socioeconomic impact of current forecast systems

8 Develop Advanced Forecast Verification Measures User-relevant verification: Tie verification measures to societal impacts measures –For specific users or user sectors –General, integrated measures Verification of probabilistic forecasts Verification of spatial/temporal characteristics of forecasted events

9 THORPEX Societal and Economic Application (SEA) Themes Identify high-impact weather forecasts Assess the impact of improved forecasts Develop advanced forecast verification measures Estimate net benefits of improved forecast systems Develop new user-specific weather products Facilitate transfer of THORPEX advances to forecast centres throughout the world

10 Forecasts Inputs (e.g., obs, DA) Use BenefitsCosts Estimate Net Benefits = Costs  Benefits

11 Analyze Costs Assess / Value Impacts Verify Other THORPEX Research Forecasts Inputs (e.g., obs, DA) Use BenefitsCosts Estimate Net Benefits = Costs  Benefits Frame / Synthesize  Evaluate proposed improvements

12 Estimate Net Benefits of Improved Forecast Systems Basic economic/policy framework exists Combine results from –THORPEX OSSEs and field campaigns, using appropriate verification measures –THORPEX cost analyses –Estimates of impacts of improved forecasts Need baseline knowledge on benefits and costs of current systems Results help justify (motivate) programs and set priorities

13 Develop New Weather Products Collaborate with public and private sector users to develop new weather products: –About user-relevant variables (including risk and uncertainty), at user-relevant space and time scales –At longer lead times Example: irrigation, water, and power in Northwest Through research & development in: ensemble prediction, ensemble post-processing, decision support tools, user needs, current processes Interest in studying and improving communication of forecast uncertainty, using quantitative and qualitative methods

14 Facilitate Transfer to Forecast Centres Throughout the World Build local/regional THORPEX-related capacity among international forecast providers and users, emphasizing developing countries By building partnerships through WMO and existing centers, based on regional and local needs Possible foci for Pacific Experiment –Indigenous populations in Arctic –GLOBE program: Community (primarily K-12) data collection and capacity building

15 Demonstration Projects Conduct SEA demonstration projects with each major THORPEX field campaign Multiple possible foci – develop in conjunction with overall project priorities –International Polar Year (IPY), 2007-8 Transportation and energy production in Alaska Indigenous populations –2010 Winter Olympics in Vancouver

16 Issues / Questions Develop SEA component in conjunction with other components Areas to emphasize or deemphasize for Pacific Predictability Experiment? Need to coordinate between SEA and other program components, operational forecasting Who? Funding? How to draw in new expertise and leverage off existing work? Working group / conference call? If you are interested, let me know (morss@ucar.edu)


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