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1. Reconstructing 42 Years (1979–2020) of Great Lakes Surface Temperature through a Deep Learning Approach

Author

Miraj B. Kayastha, Tao Liu, Daniel Titze, Timothy C. Havens, Chenfu Huang, and Pengfei Xue

Subjects
Great Lakes, lake surface temperature, machine learning, Long Short-Term Memory, Regional Climate Models, spatiotemporal climate change, Science
Abstract

Accurate estimates for the lake surface temperature (LST) of the Great Lakes are critical to understanding the regional climate. Dedicated lake models of various complexity have been used to simulate LST but they suffer from noticeable biases and can be computationally expensive. Additionally, the available historical LST datasets are limited by either short temporal coverage (

Published
2023
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