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CAMAS Projects
A primary goal of the Consortium for the Advancement of Marine Arctic Science (CAMAS) is to facilitate and enhance international collaboration on marine Arctic science. During annual workshops, participants initiate, execute, and finalize coordinated activities that will advance our understanding of these topics through multi-model analysis, model-observational synthesis, and the development and evaluation of process-oriented metrics. Below is a summary of activities that have been proposed by participants to the CAMAS Workshop 2024. Please send an email to the project lead(s) or [email protected] if you are interested in participating in an activity.
Project Title |
Project Summary |
Project Lead(s) |
Diagnosing pathways of heat, volume and salt through the Arctic Ocean via tracer release experiments |
The goal of this project is to explore the links between freshwater sources to the Arctic Ocean to changes in its stratification. To that end, we will conduct ‘dye’ tracer release experiments in ocean general circulation models (OGCMs) to diagnose the pathways, storage, and impact of these freshwater sources. |
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The goal of this project is to reduce the uncertainty in estimates of the biomass and growth of under sea ice phytoplankton in the Arctic, and to assess temporal trends in these variables with respect to a changing sea ice cover. To that end, we will intercompare historical values of under sea ice phytoplankton biomass and primary production in multiple regional and global Earth System Models. |
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Microplastics in the Arctic ocean/sea ice system |
The goal of this project is to explore the sources, pathways, and sinks of microplastics in the Arctic ocean and sea ice. To this end, we will perform joint tracer simulations with a suite of Earth System Models, and build our observational knowledge base of microplastic distributions in the Arctic by mining existing observations. |
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Mixing in Arctic Models: Representations & Sensitivities to Mixing Prescriptions |
The goal of this project is to investigate how stratification in Arctic Ocean models is affected by the representation of mixing in these models. To that end, we will examine and compare the representation of the mixing fluxes of heat and salt in a set of different models. At a later stage, we will conduct experiments that vary the prescription of mixing in these models to understand the sensitivity of the modelled stratification to how mixing is prescribed. |
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Arctic water mass analysis using Self-Organizing Maps (SOMs) |
The goal of this project is to improve our understanding of the distribution and movement of the critical water masses in the Arctic Ocean. To that end, we will apply an unsupervised machine learning technique called self-organizing maps (SOM) to characterize water masses, identify stratification patterns and analyze the behavior of other large oceanographic features in the Arctic Ocean. |
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Exploring the influence of ocean surface waves on the sea ice pack |
The goal of this project is to advance our understanding of wave/sea ice interactions in climate models. In particular we aim to develop collaborations between operationalists and modelers who are studying wave sea ice interactions. |
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Runoff MIP |
The goal of this project is to explore how river inputs can drive changes to coastal Arctic heat, nutrients and carbon production. To that end, we plan to compare the results of multiple regional and Earth System Models to determine the relative importance of the riverine drivers in the Arctic Ocean. |
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The impact of Arctic Cyclones on the ocean/sea ice system |
The goal of this project is to study the impact of Arctic Cyclones on the ocean/sea ice system. In Part I we will perform a case study on recent Arctic cyclones from in situ observations, along with forced ice-ocean models that are able to reproduce the specific observed cyclones. In Part II we will study interactions between Arctic cyclones and ocean and sea ice in high-resolution Earth System Models. |
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Gateway transports in regional and global climate models |
The goal of this project is to evaluate how well regional and global climate models represent the transport of volume, heat, and salt through critical gateways towards the Arctic. To that end, we will compare estimates of gateway transports in climate models with available observations. |
