With the advance of climate change, GIS methods are leading the way in collecting data, analyzing, and understanding at-risk areas. GIS answers help prepare damage, vulnerability, and sustainability assessments to understand and plan for hurricane hazard recovery and infrastructural resilience, reduce future carbon emissions for sustainable marine vessel voyages, and detect and monitor coastal eroding areas.
2022 Proceedings
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GIS Methods for Climate Change Resilience
, Meteorologist, Meteomatics
, Associate Scientist, National Center for Atmospheric Research
Session Type: User Presentations
Session Level: All Attendees
Presentation 1 Title: GLOBathy: A Global Lakes Bathymetry Dataset Created Using GIS
Presentation 1 Speaker 1: Matthew Casali
Presentation 1 Abstract:
Physical modeling of waterbody dynamics relies heavily on accurate morphological and geophysical attributes, with bathymetry being of primary importance. Due to the limited availability of in-situ bathymetric data, some studies oversimplify these important characteristics. Starting with the global HydroLAKES lake boundary dataset, a team at the National Center for Atmospheric Research developed a global bathymetric dataset (GLOBathy) comprising over 1.4 million waterbodies. Utilizing ArcPy and Esri's Spatial Analyst functions, a Python-based workflow was developed to calculate bathymetry for each waterbody using the distance method established by Hollister and Milstead (2010). The geospatial approach incorporates the measurements of necessary geometries needed for calculating depth as a function of distance from the shoreline, resulting in estimated lake volume and depth/area relationship. Results were validated against over 1500 measurements. This updated bathymetric data is currently being extended to support other operational atmospheric models to replace single-value lake depths with more realistic and variable depth estimates.
Presentation 2 Title: Combination of Environmental and Ship Data in Esri to Support Decarbonization
Presentation 2 Speaker 1: Brad Guay
Presentation 2 Abstract:
With the advance of climate warming, environmental regulations are increasing to ensure the sustainability of marine vessel voyages. Therefore, accurate monitoring and forecasting of the ship’s carbon emissions is essential. To this aim, we developed a technique combining weather and oceanic data such as wind, wave height, and current direction and speed, together with vessels operational data to calculate the weather-induced resistance. This enables estimations of the fuel consumption required for a specified voyage and the resulting carbon emitted into the atmosphere. Using ArcGIS Developer Enterprise integrated with a cloud-based platform, decision-makers can visualize the combined weather and vessel data to obtain the representation of the emissions throughout a vessel’s voyage and identify possibilities for future carbon emission reduction with route optimization, deviation tracking, or trade route comparison. In addition to the advantages of monitoring and reducing the carbon emission of individual marine vessels in real-time, this approach, utilizing the Esri software, can enable calculations of past shipping carbon footprint and help to reduce future carbon emissions.
