Attention: The autoQC service is now in beta mode. We are happy that you try out the service and give us feedback or report on probable bugs.
autoQC is a tool that inlcudes classical and machine learning algorithms to support the quality control of arctic ocean temperature profile measurements. It has been developed in the M-VRE project (https://mosaic-vre.org). autoQC has been trained with the UDASH dataset and is based on works in the SalaciaML project (https://salacia-ml.awi.de/), which was published in Frontiers of Marine Sciences at SalaciaML. autoQC is developed by Dr. Mohamed Chouai, Felix Reimers and Dr. Sebastian Mieruch-Schnülle at the Alfred Wegener Institute (AWI) in Bremerhaven, Germany.
If you use autoQC, please cite: https://mvre.autoqc.cloud.awi.de
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UDASH arctic temperature profile with spike error.
