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Neil Stenhouse, Edward Maibach, Sara Cobb, Ray Ban, Andrea Bleistein, Paul Croft, Eugene Bierly, Keith Seitter, Gary Rasmussen, and Anthony Leiserowitz

Meteorologists and other atmospheric science experts are playing important roles in helping society respond to climate change. However, members of this professional community are not unanimous in their views of climate change, and there has been tension among members of the American Meteorological Society (AMS) who hold different views on the topic. In response, AMS created the Committee to Improve Climate Change Communication to explore and, to the extent possible, resolve these tensions. To support this committee, in January 2012 we surveyed all AMS members with known e-mail addresses, achieving a 26.3% response rate (n = 1,854). In this paper we tested four hypotheses—1) perceived conflict about global warming will be negatively associated, and 2) climate expertise, 3) liberal political ideology, and 4) perceived scientific consensus will be positively associated—with 1) higher personal certainty that global warming is happening, 2) viewing the global warming observed over the past 150 years as mostly human caused, and 3) perception of global warming as harmful. All four hypotheses were confirmed. Expertise, ideology, perceived consensus, and perceived conflict were all independently related to respondents' views on climate, with perceived consensus and political ideology being most strongly related. We suggest that AMS should attempt to convey the widespread scientific agreement about climate change; acknowledge and explore the uncomfortable fact that political ideology influences the climate change views of meteorology professionals; refute the idea that those who do hold nonmajority views just need to be “educated” about climate change; and continue to deal with the conflict among members of the meteorology community.

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Paul A. Hirschberg, Elliot Abrams, Andrea Bleistein, William Bua, Luca Delle Monache, Thomas W. Dulong, John E. Gaynor, Bob Glahn, Thomas M. Hamill, James A. Hansen, Douglas C. Hilderbrand, Ross N. Hoffman, Betty Hearn Morrow, Brenda Philips, John Sokich, and Neil Stuart

The American Meteorological Society (AMS) Weather and Climate Enterprise Strategic Implementation Plan for Generating and Communicating Forecast Uncertainty (the Plan) is summarized. The Plan (available on the AMS website at is based on and intended to provide a foundation for implementing recent recommendations regarding forecast uncertainty by the National Research Council (NRC), AMS, and World Meteorological Organization. It defines a vision, strategic goals, roles and respon- sibilities, and an implementation road map to guide the weather and climate enterprise (the Enterprise) toward routinely providing the nation with comprehensive, skillful, reliable, and useful information about the uncertainty of weather, water, and climate (hydrometeorological) forecasts. Examples are provided describing how hydrometeorological forecast uncertainty information can improve decisions and outcomes in various socioeconomic areas. The implementation road map defines objectives and tasks that the four sectors comprising the Enterprise (i.e., government, industry, academia, and nongovernmental organizations) should work on in partnership to meet four key, interrelated strategic goals: 1) understand social and physical science aspects of forecast uncertainty; 2) communicate forecast uncertainty information effectively and collaborate with users to assist them in their decision making; 3) generate forecast uncertainty data, products, services, and information; and 4) enable research, development, and operations with necessary information technology and other infrastructure. The Plan endorses the NRC recommendation that the National Oceanic and Atmospheric Administration and, in particular, the National Weather Service, should take the lead in motivating and organizing Enterprise resources and expertise in order to reach the Plan's vision and goals and shift the nation successfully toward a greater understanding and use of forecast uncertainty in decision making.

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