2021
DOI: 10.5194/tc-2020-363
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Estimating subpixel turbulent heat flux over leads from MODIS thermal infrared imagery with deep learning

Abstract: Abstract. Turbulent heat flux (THF) over leads is an important variable used for monitoring climate change in the Arctic. Presently, THF over leads is often calculated from satellite imagery. The accuracy of the estimated THF is low for mixed pixels that consist of ice and leads, because the mixed pixels along lead boundaries will lower the accuracy of the surface temperature measured over leads and the corresponding lead map. To address this problem, a deep residual convolutional neural network (CNN)-based fr… Show more

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