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      "affiliation": "Centre for Earth Observation Science - 
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      "affiliation": "Centre for Earth Observation Science - 
            
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University of Manitoba",
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University of Manitoba",
            
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      "creatorName": "Landry, David",
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      "creatorName": "Landry, David",
            
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  "PublicationYear": "2021",
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      "description": "The cryosphere encompasses all the parts of the 

            
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and river and lake ice. The cryosphere exerts an important influence 

            
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on Earth\u2019s climate. Image and description from 

            
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(\"ephippium\"). The black ephippium is part of the carapace and 

            
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contains usually two sexual eggs. Photo by Dieter Ebert, Basel, 

            
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Switzerland. \r\nCC BY-SA 4.0 Licence\r\n",

            
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  "name": "baysys-newsletters",
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  "notes": "The BaySys project newsletter was developed to highlight 
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  "notes": "The BaySys project newsletter was developed to highlight 
            
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accomplishments and update everyone in and out of the project of the 
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accomplishments and update everyone in and out of the project of the 
            
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status and progress of BaySys. The newsletter also became a venue for 
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status and progress of BaySys. The newsletter also became a venue for 
            
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highlighting our fantastic researchers and grad students across the 
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highlighting our fantastic researchers and grad students across the 
            
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project.",
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    "created": "2017-07-21T13:15:49.935872",
            
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    "description": "# Background\r\nClimate change is being felt first 
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    "description": "The Centre for Earth Observation Science (CEOS) 
            
87
and foremost in Arctic regions and is having a dramatic effect on the 
51
was established in 1994 with a mandate to research, preserve and 
            
88
marine system. Unfortunately, the direction and extent of this change 
52
communicate knowledge of Earth system processes using the technologies 
            
89
is not well understood due to the lack of baseline studies. New data 
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of Earth Observation Science. Research is multidisciplinary and 
            
90
to help fill knowledge gaps are urgently needed. This is particularly 
54
collaborative seeking to understand the complex interrelationships 
            
91
true for the region around Cambridge Bay, Nunavut, where only a few 
55
between elements of Earth systems, and how these systems will likely 
            
92
sea ice and oceanographic studies have taken place to date. Building 
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respond to climate change. Although researchers have worked in many 
            
93
upon the Arctic-ICE program, the process-based and inter-annual 
57
regions, the Arctic marine system has always been a unifying focus of 
            
94
aspects of the research planned for ICE-CAMPS are critical for 
58
activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate 
            
95
improving our understanding and predicting the impact the rapidly 
59
Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre 
            
96
changing ice cover will have on the marine Arctic ecosystem and its 
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(ARC, Aarhus, Denmark) established the Arctic Science Partnership, 
            
97
associated climate feedbacks.\r\n\r\n#Project Description\r\nThe 
61
thereby integrating academic and research initiatives.\r\n\r\nAreas of 
            
98
overarching objective of ICE-CAMPS is to investigate physical and 
62
existing research activity are divided among key themes:\r\n\r\nArctic 
            
99
biogeochemical processes operating across the ocean-ice-atmosphere 
63
Anthropology/Paleoclimatology: LiDAR scanning and digital site 
            
100
interface during the winter-spring-summer transition to improve our 
64
preservation, archaeo-geophysics, permafrost degredation, lithic 
            
101
understanding of how our warming climate will affect the ice-covered 
65
morphometrics, zooarchaeology, proxy studies, paleodistribution of sea 
            
102
marine ecosystem of the Canadian Arctic. To meet this objective, we 
66
ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, 
            
103
will undertake a set of three themes and subprojects:\r\n\r\n### 
67
ethnographic analogy, traditional knowledge, climate change and 
            
104
Characterization and remote sensing of sea ice melt-dynamics and 
68
northern heritage resource management.\r\n\r\nAtmospheric 
            
105
air-ice-ocean interactions \u2013 Sea Ice Geophysics\r\n\r\n* 
69
Studies/Meteorology: Boundary layer, precipitation, clouds, storms and 
            
106
Microwave scattering responses from sea ice pressure ridges (M. 
70
extreme weather, circulation, eddy correlations, polar vortex, 
            
107
Shields, MSc; D.G. Barber, PI, J. Ehn, PI)\r\n* Physical processes 
71
climate, teleconnections, geophysical fluid dynamics, flux and energy 
            
108
controlling melt evolution (J. Landy, PhD; D.G. Barber, PI, J. Ehn, 
72
budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice 
            
109
PI)\r\n* Air-ice fluxes and the spring/summer evolution of surface 
73
albedo feedback, cloud radiative forcing, pCO2. 
            
110
heat budget (SEB) (B. Else, PI; T. Papakyriakou ,PI)\r\n* Polarimetric 
74
\r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, 
            
111
scatterometer measurements of snow covered first-year sea ice (J. 
75
Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace 
            
112
Yackel, PI)\r\n* Fully-polarimetric C-band remote sensing of 
76
metals, minerals, hydrocarbons, brine processes, otolith 
            
113
thermodynamic changes in snow-covered first-year sea ice  (A. Komarov, 
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microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, 
            
114
PhD; N. Firoozy, PhD; D.G. Barber, PI)\r\n* Retrieval of advanced-melt 
78
trace metals, PAHs, source, transport, transformation, pathways, 
            
115
season parameters over first-year sea ice using satellite remote 
79
bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth 
            
116
sensing (R. Scharien, PDF; D.G. Barber, PI)\r\n* Irradiance in the 
80
Observation Science: Active and passive microwave, LiDAR, EM 
            
117
snowpack and related physical and optical properties of snow on sea 
81
induction, spatial-temporal analysis, forward and inverse scattering 
            
118
ice (G. Picard, PI;  F.Domin\u00e9, PI)\r\n\r\n### Environmental 
82
models, complex permittivity, ocean colour, ocean surface roughness, 
            
119
factors influencing timing of primary production and its link to sea 
83
NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: 
            
120
ice carbon chemistry \u2013 Marine Biogeochemistry\r\n\r\n* Underwater 
84
Biophysical processes, primary production; ice algae, ice 
            
121
eddy covariance measurements of heat, salt, and dissolved oxygen (B. 
85
microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland 
            
122
Else, PDF; S. Rysgaard, PI)\r\n* Assessment of productivity and 
86
Lakes and Waters: Hydrologic connectivity, watershed systems, sediment 
            
123
environmental factors affecting ice algae (K. Campbell, PhD; S. 
87
transport, nutrient transport, contaminants, landscape processes, 
            
124
Rysgaard, PI; C.J. Mundy, PI)\r\n* Temporal trends in relative biomass 
88
remote sensing, freshwater-marine coupling. Marine Mammals: Seals, 
            
125
composition of key ice algae species determined through Fourier 
89
whales, habitat, conservation, satellite telemetry, distribution, 
            
126
Transform Infrared (FTIR) spectroscopy (C.J. Mundy, PI; K. Gough, 
90
population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: 
            
127
PI)\r\n* Phytoplankton dynamics under sea ice in the Canadian Arctic 
91
Simulation of sea ice and oceanic regional processes, Nucleus for 
            
128
(A. Delaforge, PhD; C.J. Mundy, PI)\r\n* Mycosporine-like amino acids 
92
European Modelling of the Ocean (NEMO), ice-ocean modelling and 
            
129
in Artic sea-ice algal communities (A. Elliot, MSc; C.J. Mundy, PI; F. 
93
interactions, hind cast simulations and projections for sea ice state 
            
130
Wang, PI)\r\n* Seasonal succession of the microbial community in 
94
and ocean variables based on CMIP5 scenarios and MIROC5 forcing, 
            
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Arctic sea ice (E. Collins)\r\n\r\n### Biogeochemical processes 
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validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and 
            
132
controlling atmosphere-sea ice and sea ice-ocean contaminant 
96
out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy 
            
133
deposition and ecosystem incorporation \u2013 Marine 
97
correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic 
            
134
Chemistry\r\n\r\n* Halogen chemistry across the ocean-sea 
98
processes, extreme ice features and hazards, snow, ridges, 
            
135
ice-atmosphere interface (W. Xu, MSc; F. Wang, PI)\r\n\r\n## 
99
polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, 
            
136
Links\r\n\r\n[CEOS ICE-CAMPS 
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Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, 
            
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faculties/environment/departments/ceos/research/1197.html)\r\n\r\n[ASP 
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hunting, food security, sea ice use, community-based research, 
            
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ICE-CAMPS 2016 
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community-based monitoring, two ways of knowing.",
            
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Project](http://www.asp-net.org/content/cambridge-bay)\r\n\r\n",
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