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Our methodology relies on the utilization of a deep learning model known as U-Net, which integrates microwave remote sensing observations from three sources: Sentinel-1, Special Sensor Microwave Imager/Sounder (SSMIS), and Advanced Scatterometer (ASCAT). \u003cbr\u003eThe data is available for download in two formats: 1. \"Timeseries\": This format provides the data at a twice-daily resolution, allowing for detailed analysis over time.2. \"MeltFraction\": This format offers a yearly, summed product, providing a consolidated representation of the melt fraction.\u003cbr\u003eFeel free to access and explore the dataset to gain valuable insights into surface melt dynamics on Antarctic ice shelves.","descriptionType":"Abstract"}],"geoLocations":[{"geoLocationPlace":"Antarctic Ice Sheet"}],"fundingReferences":[{"awardTitle":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","funderName":"unknown"}],"xml":"<?xml version="1.0" encoding="UTF-8"?>
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    <title>A High-Resolution Record of Surface Melt on Antarctic Ice Shelves using Multi-Source Remote Sensing Data and Deep Learning</title>
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