The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop:PyHPC 2020: 9th Workshop on Python for High-Performance and Scientific Computing
Authors: Chris Dearden (Hartree Centre, Science and Technology Facilities Council (STFC))
Abstract: This talk presents the results of a collaboration between the STFC Hartree Centre and Riskaware Ltd, the aim of which was to create a software validation suite to quantify the accuracy of oil spill model predictions against real-world observations of actual oil spills. The validation methodology is based on a specific set of performance metrics, involving the use of satellite imagery and coastal report data. We discuss the key features of the GeoPandas Python library that we used to read and process the geospatial datasets, including the ability to calculate areas of overlap and centroid locations, two quantities that underpin the performance metrics used to assess the model output. We present an example of how we applied our software to an historic case study, and explain how the metrics are helping to aid the clean up operation of real oil spills at sea.