Professor Jinchang Ren j.ren@rgu.ac.uk
Professor of Computing Science
Professor Jinchang Ren j.ren@rgu.ac.uk
Professor of Computing Science
The seasonal cycle of sea ice freeze-up, deformation, breakup and melt is an important feedback that affects the decline of Arctic sea ice. Thinner, smaller summer ice floes in the expanding marginal ice zone (MIZ) could lead to the formation of winter ice containing a lower fraction of multiyear ice that is more easily deformed and fractured, creating faster melting of smaller ice floes in spring/summer.
This project will include
•evaluation of how autumn freeze-up and winter ice dynamics/features affect spring breakup and floes
•quantification of spring floes and floe failure/melt affect summer ice floe size evolution
•measurement of the failure/breakup mechanisms of summer ice floes using high-precision GNSS/INS buoys and quantify the lateral melting of individual summer ice floes (marked and tracked by GPS drifters).
•Develop sea ice ocean models through model parameterization and calibration/validation and possible assimilation
Project Acronym | MOSAiC |
---|---|
Status | Project Complete |
Funder(s) | Natural Environment Research Council |
Value | £22,396.00 |
Project Dates | Jan 1, 2021 - Apr 30, 2022 |
Subsea Artificial Intelligence Body Of Knowledge Mar 1, 2022 - Apr 30, 2023
This project will establish an industry consortium to support a collaboration to create a Subsea Artificial Intelligence Body of Knowledge. (A cloud based repository of images from known subsea events and non events, fully anonymised, classified and...
Read More about Subsea Artificial Intelligence Body Of Knowledge.
Ocean colour remote sensing for wetland mapping and chlorophyll concentration monitoring with spontaneous fluorescence and stimulated emission May 1, 2020 - Oct 31, 2023
The environmental status of marine waters plays an important role in monitoring the water extending from the shoreline to deep oceanic waters. Current reporting is based on expensive ship-based surveys that have very limited spatio-temporal coverage....
Read More about Ocean colour remote sensing for wetland mapping and chlorophyll concentration monitoring with spontaneous fluorescence and stimulated emission.
Data For Net Zero Jun 1, 2022 - May 31, 2025
The Data for Net Zero (D4NZ) initiative will deliver shared analytics platforms and data science projects. The science will provide fact-based understanding and awareness on thematic challenges, set by industry, to uncover insights and visions to hel...
Read More about Data For Net Zero.
AI and Hyperspectral Imaging based Non-Destructive inspection for Advancing Peat Use Efficiency in Whisky Production: A Feasibility Study Oct 1, 2023 - Mar 31, 2024
This project aims to explore the feasibility of non-destructive inspection for peat using hyperspectral imagery and machine learning techniques. The primary objectives are to determine the quality of peat, measure the level of phenol released during...
Read More about AI and Hyperspectral Imaging based Non-Destructive inspection for Advancing Peat Use Efficiency in Whisky Production: A Feasibility Study.
About OpenAIR@RGU
Administrator e-mail: publications@rgu.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
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