| Summary: | This release contains the script used for @AdrienWehrle 's NRT processing active in 2021 and 2022 and the so-called "showcase" reprocessing. It is being replaced by https://github.com/GEUS-SICE/SICE-EDC that uses PTEP2, SentinelHub and pySICEv2.1 . The present release is for archiving purpose. This data was used for the following study: Box, J. E., Wehrlé, A., van As, D., Fausto, R. S., Kjeldsen, K. K., Dachauer, A., et al. (2022). Greenland ice sheet rainfall, heat and albedo feedback impacts from the mid-August 2021 atmospheric River. Geophysical Research Letters, 49, e2021GL097356. https://doi.org/10.1029/2021GL097356 Wehrlé, A.; Box, J. E.; Niwano, M.; Anesio, A. M.; Fausto, R. S. Greenland bare-ice albedo from PROMICE automatic weather station measurements and Sentinel-3 satellite observations. GEUS Bulletin, 2021, 47. https://doi.org/10.34194/geusb.v47.5284 And to produce the following datasets: Wehrlé, Adrien; Box, Jason; Vandecrux, Baptiste; Mankoff, Ken, 2021, "Snow and ice broadband albedo from Sentinel-3 OLCI measurements and empirical regression", https://doi.org/10.22008/FK2/SNX8L6, GEUS Wehrlé, Adrien; Box, Jason; Vandecrux, Baptiste; Mankoff, Ken, 2021, "Daily Near Real Time (NRT) Greenland snow and ice broadband albedo, SSA and cloud mask from Sentinel-3's OLCI", https://doi.org/10.22008/FK2/SD56CB, GEUS Dataverse, V27 This release is an improvement from SICEv2.3.1 . This toolchain does the following: Fetch S3 OLCI & SLSTR products Process OLCI & SLSTR using SNAP GPT Process using pySICE Build daily mosaic Specificities of this release: Designed for SNAP8 and tie-point geocoding Using pySICEv1.4
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