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Webinar: U.S. Billion-dollar Weather and Climate Disasters of 2017 – A Historic Year in Context.
Thursday, 18 January 2018, 12:00
Thursday, January 18, 2018. 12:00 PM.Webinar: U.S. Billion-dollar Weather and Climate Disasters of 2017 – A Historic Year in Context. Adam B. Smith, NOAA National Centers for Environmental Information. Sponsored by NOAA's National Ocean Service. More information here.
About the Speaker: Adam B. Smith is an applied climatologist at NOAA's National Centers for Environmental Information (NCEI) Center for Weather & Climate. He performs research to homogenize and transition disparate disaster data sources into better quality-controlled disaster cost frameworks, as research tools and has expertise in developing methods to quantify natural disaster costs and uncertainty: https://www.ncdc.noaa.gov/billions Smith is a NOAA expert on U.S. disaster loss data in support of the international Sendai Framework for Disaster Risk Reduction (2016-Present), and is part of the Integrated Research on Disaster Risk interdisciplinary working group on Natural Disaster Risk/Loss Data integration (2012�2015) and the American Meteorological Society Committee on Financial Weather/Climate Risk Management (2015�2017). Smith has contributed to many widely cited research and data products, including: Getting Smart About How We Finance Disaster Resilience (2016), U.S. National Infrastructure Strategy (2015), IPCC AR5, Building Drought Resilience in Agriculture (2015), Disaster-Resilient Buildings, Infrastructure and Communities (2014), U.S. Energy Grid Resilience (2013), U.S. State of the Climate Annual Reports and U.S. National Climate Assessments. Some select publications include: Quantitative Approaches to Evaluating Climate Change Impacts in Socio-Environmental Systems, Public Health, and Insurance (2017), Integrated Research on Disaster Risk DATA Report, Measuring Losses from Disasters: Guidelines on Human and Economic Impact Indicators (2015), and U.S. Billion-Dollar Weather and Climate Disasters: Data Sources, Trends, Accuracy and Biases (2013).
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