Poster
in
Workshop: Tackling Climate Change with Machine Learning: Global Perspectives and Local Challenges
EfficientTempNet: Temporal Super-Resolution of Radar Rainfall
Bekir Demiray · Muhammed Sit · Ibrahim Demir
Keywords: [ Computer vision and remote sensing ] [ Extreme weather ] [ Earth science ] [ Climate science and climate modeling ] [ Time-series analysis ] [ Earth observations and monitoring ]
Rainfall data collected by various remote sensing instruments such as radars or satellites has different space-time resolutions. This study aims to improve the temporal resolution of radar rainfall products to help with more accurate climate change modeling and studies. In this direction, we introduce a solution based on EfficientNetV2, namely EfficientTempNet, to increase the temporal resolution of radar-based rainfall products from 10 minutes to 5 minutes. We tested EfficientRainNet over a dataset for the state of Iowa, US, and compared its performance to three different baselines to show that EfficientTempNet presents a viable option for better climate change monitoring.