Session 12B Applying GIS Techniques to Analyze and Communicate Weather and Climate Impacts

Wednesday, 31 January 2024: 4:30 PM-6:00 PM
336 (The Baltimore Convention Center)
Host: 40th Conference on Environmental Information Processing Technologies
Cochairs:
Dan Pisut, ESRI, Palm Springs, CA and Peter B. Roohr

GIS technology gives the user almost limitless potential to gather, analyze, and contextualize data from different sectors to provide insight into weather and climate patterns and impacts. This session will focus on two areas: 1) using local and cloud-based tools for the analysis; 2) sharing those analyses in using Python notebooks or web applications to engage our communities.

Papers:
4:30 PM
12B.1
Empowering Decision-Making in Small Islands: Cloud-Based Land Use/Land Cover Analysis for Resilience in Changing Climates
Haley Anderson, Caribbean Meteorological Organization, Port of Spain, Trinidad and Tobago; and P. Paz, D. Ramsewak, D. Mahadeo, PhD Candidate, N. Gooding, V. Mohan, R. Sookdeo, D. Mitchell, K. Kerr IV, and A. G. Laing

4:45 PM
12B.2
An Efficient Way of Creating National Weather Service Training Using ArcGIS Story Maps
David E Levin, NWS, Palmer, AK; and C. Dierking, S. S. Lindstrom, N. Eckstein, and D. Moore

5:00 PM
12B.3
NASA Earthdata GIS (EGIS) Enterprise Enhances Climate Analytic Processes by Sharing High Use Authoritative Datasets
Genevieve Studer-Ellis, NASA, Washington, DC; NASA, Riverdale, MD; and A. Alcott, A. J. Barnett, C. Hoffman, J. Kusterer, K. MacManus, D. Meyer, D. Newman, M. Ochrym, L. Schwizer, B. Tisdale, M. Tisdale, S. Vinay, and P. Zhao

5:15 PM
12B.4
Enabling Analysis of Air Quality Data from Tropospheric Emissions: Monitoring of POllution (TEMPO) via Cloud-based Tools
Daniel E Kaufman, Booz Allen Hamilton, Inc., McLean, VA; and H. Mahmoud, M. Tisdale, G. Hayes-Crepps, W. Baskin, H. Patel, D. V. Wood, J. Tindell, W. Johnson, I. Garcia-Solera, S. Kizer, and J. Kusterer

5:30 PM
12B.5
Interactive Visualization of Global Long-Term Climate Data in a Web Application Using Python and Zarr in Amazon Web Services (AWS)
Matthew R. Lammers, Maxar Technologies, Woodbridge, VA; and C. Hoover, C. Cassidy, and R. Much

Handout (1.7 MB)

5:45 PM
12B.6
Building a Customizable UI for Analyzing Natural Hazards
Rochelle S Koeberle, Booz Allen Hamilton, Arlington, VA

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner