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Session Proposal: Industry and Data: Improving Economic Resilience with Environmental Information (AGU25)

SY022
Industry and Data: Improving Economic Resilience with Environmental Information

Session ID#: 249625

Session Description:
Across the national and global economy– from managing supply chain networks and distribution centers, to building the facilities that allows for production of goods, to insuring business and property owners– American industry relies on environmental information for planning, operational readiness, and efficiency. The federal government, along with its private and public sector partners, provides data that allows companies and communities to plan future development, protect their personnel and assets during major weather events, and develop infrastructure that is built to last through changing weather patterns in each region of the country. Convening members of industry who use environmental data in their day-to-day operations, this session will focus on how the private sector– from large industries with major analytics capabilities to small business and local organizations who need easily digestible decision-making tools– relies on critical public data for planning and preparedness.
Co-Sponsor(s):
  • GC - Global Environmental Change
  • GH - GeoHealth
  • NH - Natural Hazards
Index Terms:

1916 Data and information discovery [INFORMATICS]
6309 Decision making under uncertainty [POLICY SCIENCES & PUBLIC ISSUES]
6334 Regional planning [POLICY SCIENCES & PUBLIC ISSUES]
6344 System operation and management [POLICY SCIENCES & PUBLIC ISSUES]
Primary Convener:  Allison Crimmins, NOAA, Silver Spring, United States
Conveners:  Bridget Smith, Cadmus Group, Inc., Waltham, United States, Jenny Dissen, NOAA, Asheville, United States and Russell S Vose, National Climatic Data Center, Asheville, NC, United States
 
Hailstorms: The Not So Secondary Peril (1862221)
Ian M Giammanco1, Jake Sorber2 and Brenna Meisenzahl2, (1)Insurance Institute for Business & Home Safety, Gaithersburg, United States, (2)Insurance Institute for Business & Home Safety, Richburg, United States
 
From Climate Models to Construction: Quantifying Changes in Extreme Snow Accumulations to Inform Infrastructure Design (1874343)
Brennan Bean, Utah State University, Logan, United States, Abbie Liel, University of Colorado at Boulder, Boulder, United States, Wei Zhang, Utah State University, Department of Plants, Soils and Climate, Logan, United States, Daniel McEvoy, Desert Research Institute, Reno, United States, Cody Ratterman, Utah State University, Plants, Soils and Climate Department, Logan, UT, United States, Rachel Rose McCrary, National Center for Atmospheric Research, Boulder, United States, Marc Maguire, University of Nebraska Lincoln, Lincoln, United States and Sean O'Neil, University of Nevada Reno, Reno, United States
 
Geospatial and Machine Learning-Based Identification of Solar Park Potential in Industrial Regions of Pakistan (1908407)
Ali Hassan Cheema, Swinburne University of Technology, Hawthorn, VIC, Australia, Sagheer Ranjha, Swinburne, Department of Civil and construction Engineering, Hawthorn, Australia and Mr. Bilal Aslam, Northern Arizona University, School of Informatics, Computing, and Cyber Systems, Flagstaff, United States
 
Use of Satellite Altimetry Data from ICESat-2 in Private Sector Decision Making (1917679)
Molly Elizabeth Brown, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, Abigail Phillips, Clark University, Department of Geography, Worcester, United States, Aimee Renee Neeley, NASA Goddard Space Flight Center, Greenbelt, United States and Denis Felikson, NASA Goddard Space Flight Center, Cryospheric Sciences Laboratory, Greenbelt, United States
 
Driving Decision-Making: Lessons from Co-Developing Data Products with Industry to Build Economic Resilience (1921223)
Allison Crimmins1, Bridget Smith2, Michael Brewer3, Jenny Dissen4, Russell S Vose3 and Maggie Coates2, (1)NOAA, Silver Spring, United States, (2)Cadmus Group, Inc., Waltham, United States, (3)National Climatic Data Center, Asheville, NC, United States, (4)NOAA, Asheville, United States
 
Modeling Remote Sensing Data Uncertainty for Decision Analytics: A Case Study for Flood Management (1957577)
Afreen Siddiqi, Massachusetts Institute of Technology, Cambridge, MA, United States and Aparajithan Sampath, Massachusetts Institute of Technology, System Design and Management, Cambridge, United States
 
Developing a Clear View of Risk in a Changing Risk Landscape (1959253)
James Waller, Guy Carpenter, GC Global Analytics & Advisory, Toronto, ON, Canada
 
Leveraging Public Meteorological Datasets for Insurance Risk Assessment (1976014)
Eric Uhlhorn1, Suz Tolwinski-Ward2 and Sylvie Lorsolo1, (1)Verisk Analytics, Inc., Boston, United States, (2)Verisk, Boston, United States
 
Real-time Modeling of Insured Property Losses from Natural Hazards Leveraging Multi-platform Atmospheric Data (1979845)
Sara Sienkiewicz, Daniel Ward and Karen Clark, Karen Clark and Company, Boston, United States
 
Atmospheric Icing and Infrastructure Risk: Insights from Climate Projections (1982044)
Ahmed Abdelaal1, Mari R Tye2, Rachel Rose McCrary3, Kathleen Jones4, Christopher McCray5, Lee Kessenich3 and Dominique Paquin6, (1)SUNY Polytechnic Institute, Utica, United States, (2)NSF National Center for Atmospheric Research, Boulder, United States, (3)National Center for Atmospheric Research, Boulder, United States, (4)Retired, U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory (CRREL), Hanover, United States, (5)Ouranos, Montréal, QC, CANADA, (6)Ouranos, Montreal, QC, Canada
 
The Path to Hail Mitigation: Using Radar Data to Understand Building Material Vulnerability (1986526)
Jake Sorber, Insurance Institute for Business & Home Safety, Richburg, United States and Tory Farney, Verisk, Boston, United States
 
Modeling Catastrophe Losses from Natural Hazards – Data and Tools Used (1987638)
Annes Haseemkunju, Cotality, Inc., Livermore, United States and David Smith, Cotality, Inc., Danville, United States
 
Evaluating the Long-Term Value and Return on Investment of the Landsat Program for Operational Applications (1989149)
Crista Straub and Timothy R Newman, USGS Headquarters, National Land Imaging Program, Reston, United States
 
The Backbone of the Insurance Industry: The Role of Timely Environmental Information in Real-Time Insurance Analytics (1993735)
Wesley Terwey, Verisk Analytics, Roslindale, Massachusetts, UNITED STATES
 
Leveraging NOAA Data for Dollar Tree's Climate Resilience and Supply Chain (Invited) (2002051)
Jenny Dissen, North Carolina State University, North Carolina Institute for Climate Studies, Asheville, United States, Joshua Witte, Dollar Tree, Asheville, United States and Cera Schrems, NOAA, Asheville, United States
 
Integration of Federal Data into Resilient Water Infrastructure Design (2004417)
Shirley E Clark, Organization Not Listed, Washington, DC, United States
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