Changes
On November 9, 2021 at 12:55:51 PM CST, Claire Herbert:
f | 1 | { | f | 1 | { |
2 | "Author": [ | 2 | "Author": [ | ||
3 | { | 3 | { | ||
4 | "affiliation": "", | 4 | "affiliation": "", | ||
5 | "creatorName": "BaySys", | 5 | "creatorName": "BaySys", | ||
6 | "email": "", | 6 | "email": "", | ||
7 | "nameIdentifier": "", | 7 | "nameIdentifier": "", | ||
8 | "nameType": "Organizational" | 8 | "nameType": "Organizational" | ||
9 | } | 9 | } | ||
10 | ], | 10 | ], | ||
11 | "PublicationYear": "2021", | 11 | "PublicationYear": "2021", | ||
12 | "Publisher": "BaySys", | 12 | "Publisher": "BaySys", | ||
13 | "ResourceType": "presentations", | 13 | "ResourceType": "presentations", | ||
14 | "Rights": "Creative Commons Attribution 4.0 International", | 14 | "Rights": "Creative Commons Attribution 4.0 International", | ||
15 | "author": null, | 15 | "author": null, | ||
16 | "author_email": null, | 16 | "author_email": null, | ||
17 | "awardTitle": "", | 17 | "awardTitle": "", | ||
18 | "awardURI": "", | 18 | "awardURI": "", | ||
19 | "citation": "", | 19 | "citation": "", | ||
20 | "creator_user_id": "c3ad971e-75e0-4e57-b825-8ed25f306937", | 20 | "creator_user_id": "c3ad971e-75e0-4e57-b825-8ed25f306937", | ||
21 | "descriptionType": "Abstract", | 21 | "descriptionType": "Abstract", | ||
22 | "funderIdentifier": "", | 22 | "funderIdentifier": "", | ||
23 | "funderIdentifierType": "", | 23 | "funderIdentifierType": "", | ||
24 | "funderName": "", | 24 | "funderName": "", | ||
25 | "funderSchemeURI": "", | 25 | "funderSchemeURI": "", | ||
26 | "grantNumber": "", | 26 | "grantNumber": "", | ||
27 | "groups": [ | 27 | "groups": [ | ||
28 | { | 28 | { | ||
29 | "description": "The cryosphere encompasses all the parts of the | 29 | "description": "The cryosphere encompasses all the parts of the | ||
30 | Earth system where water is in solid form, including ice sheets, ice | 30 | Earth system where water is in solid form, including ice sheets, ice | ||
31 | shelves, glaciers, snow cover, permafrost (frozen ground), sea ice, | 31 | shelves, glaciers, snow cover, permafrost (frozen ground), sea ice, | ||
32 | and river and lake ice. The cryosphere exerts an important influence | 32 | and river and lake ice. The cryosphere exerts an important influence | ||
33 | on Earth\u2019s climate. Image and description from | 33 | on Earth\u2019s climate. Image and description from | ||
34 | https://climate.copernicus.eu.", | 34 | https://climate.copernicus.eu.", | ||
35 | "display_name": "Cryosphere", | 35 | "display_name": "Cryosphere", | ||
36 | "id": "3707ff10-6424-4858-9ec9-7d67b38831b3", | 36 | "id": "3707ff10-6424-4858-9ec9-7d67b38831b3", | ||
37 | "image_display_url": | 37 | "image_display_url": | ||
38 | loads/group/2021-11-01-152857.585996C3SindicatorscryosphereFig10.png", | 38 | loads/group/2021-11-01-152857.585996C3SindicatorscryosphereFig10.png", | ||
39 | "name": "cryosphere", | 39 | "name": "cryosphere", | ||
40 | "title": "Cryosphere" | 40 | "title": "Cryosphere" | ||
41 | }, | 41 | }, | ||
42 | { | 42 | { | ||
43 | "description": "Female Daphnia magna carrying a resting egg | 43 | "description": "Female Daphnia magna carrying a resting egg | ||
44 | (\"ephippium\"). The black ephippium is part of the carapace and | 44 | (\"ephippium\"). The black ephippium is part of the carapace and | ||
45 | contains usually two sexual eggs. Photo by Dieter Ebert, Basel, | 45 | contains usually two sexual eggs. Photo by Dieter Ebert, Basel, | ||
46 | Switzerland. \r\nCC BY-SA 4.0 Licence\r\n", | 46 | Switzerland. \r\nCC BY-SA 4.0 Licence\r\n", | ||
47 | "display_name": "Marine", | 47 | "display_name": "Marine", | ||
48 | "id": "98238b1c-5be8-41ad-8c6e-74cdc4f5f369", | 48 | "id": "98238b1c-5be8-41ad-8c6e-74cdc4f5f369", | ||
49 | "image_display_url": | 49 | "image_display_url": | ||
50 | ata/uploads/group/2021-10-31-211516.365746ofinspireoceanographic.svg", | 50 | ata/uploads/group/2021-10-31-211516.365746ofinspireoceanographic.svg", | ||
51 | "name": "marine", | 51 | "name": "marine", | ||
52 | "title": "Marine" | 52 | "title": "Marine" | ||
53 | } | 53 | } | ||
54 | ], | 54 | ], | ||
55 | "id": "51d3a499-75bd-4662-97e3-0d31d9fcb8dc", | 55 | "id": "51d3a499-75bd-4662-97e3-0d31d9fcb8dc", | ||
56 | "isopen": false, | 56 | "isopen": false, | ||
57 | "keywords": "Albedo,Climate change,Hudson Bay,Hydrology,James | 57 | "keywords": "Albedo,Climate change,Hudson Bay,Hydrology,James | ||
58 | Bay,Modeling,Nutrients,Ocean currents,Primary | 58 | Bay,Modeling,Nutrients,Ocean currents,Primary | ||
59 | production,Rivers,Satellite imagery,Sea ice,Sediments", | 59 | production,Rivers,Satellite imagery,Sea ice,Sediments", | ||
60 | "language": "", | 60 | "language": "", | ||
61 | "licenceType": "", | 61 | "licenceType": "", | ||
62 | "license_id": null, | 62 | "license_id": null, | ||
63 | "license_title": null, | 63 | "license_title": null, | ||
64 | "maintainer": null, | 64 | "maintainer": null, | ||
65 | "maintainer_email": null, | 65 | "maintainer_email": null, | ||
66 | "metadata_created": "2021-11-05T22:27:09.195631", | 66 | "metadata_created": "2021-11-05T22:27:09.195631", | ||
n | 67 | "metadata_modified": "2021-11-09T18:55:03.850872", | n | 67 | "metadata_modified": "2021-11-09T18:55:51.371228", |
68 | "name": "baysys-conference-posters-presentations", | 68 | "name": "baysys-conference-posters-presentations", | ||
69 | "notes": "A collection of BaySys project conference posters and | 69 | "notes": "A collection of BaySys project conference posters and | ||
70 | presentations. These posters and presentations we delivered at | 70 | presentations. These posters and presentations we delivered at | ||
71 | national and international conferences by project HQP and grad | 71 | national and international conferences by project HQP and grad | ||
72 | students between 2016-2020.", | 72 | students between 2016-2020.", | ||
n | 73 | "num_resources": 13, | n | 73 | "num_resources": 14, |
74 | "num_tags": 13, | 74 | "num_tags": 13, | ||
75 | "organization": { | 75 | "organization": { | ||
76 | "approval_status": "approved", | 76 | "approval_status": "approved", | ||
77 | "created": "2017-07-21T13:15:49.935872", | 77 | "created": "2017-07-21T13:15:49.935872", | ||
78 | "description": "The Centre for Earth Observation Science (CEOS) | 78 | "description": "The Centre for Earth Observation Science (CEOS) | ||
79 | was established in 1994 with a mandate to research, preserve and | 79 | was established in 1994 with a mandate to research, preserve and | ||
80 | communicate knowledge of Earth system processes using the technologies | 80 | communicate knowledge of Earth system processes using the technologies | ||
81 | of Earth Observation Science. Research is multidisciplinary and | 81 | of Earth Observation Science. Research is multidisciplinary and | ||
82 | collaborative seeking to understand the complex interrelationships | 82 | collaborative seeking to understand the complex interrelationships | ||
83 | between elements of Earth systems, and how these systems will likely | 83 | between elements of Earth systems, and how these systems will likely | ||
84 | respond to climate change. Although researchers have worked in many | 84 | respond to climate change. Although researchers have worked in many | ||
85 | regions, the Arctic marine system has always been a unifying focus of | 85 | regions, the Arctic marine system has always been a unifying focus of | ||
86 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | 86 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | ||
87 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | 87 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | ||
88 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | 88 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | ||
89 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | 89 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | ||
90 | existing research activity are divided among key themes:\r\n\r\nArctic | 90 | existing research activity are divided among key themes:\r\n\r\nArctic | ||
91 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | 91 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | ||
92 | preservation, archaeo-geophysics, permafrost degredation, lithic | 92 | preservation, archaeo-geophysics, permafrost degredation, lithic | ||
93 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | 93 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | ||
94 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | 94 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | ||
95 | ethnographic analogy, traditional knowledge, climate change and | 95 | ethnographic analogy, traditional knowledge, climate change and | ||
96 | northern heritage resource management.\r\n\r\nAtmospheric | 96 | northern heritage resource management.\r\n\r\nAtmospheric | ||
97 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | 97 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | ||
98 | extreme weather, circulation, eddy correlations, polar vortex, | 98 | extreme weather, circulation, eddy correlations, polar vortex, | ||
99 | climate, teleconnections, geophysical fluid dynamics, flux and energy | 99 | climate, teleconnections, geophysical fluid dynamics, flux and energy | ||
100 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | 100 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | ||
101 | albedo feedback, cloud radiative forcing, pCO2. | 101 | albedo feedback, cloud radiative forcing, pCO2. | ||
102 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | 102 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | ||
103 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | 103 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | ||
104 | metals, minerals, hydrocarbons, brine processes, otolith | 104 | metals, minerals, hydrocarbons, brine processes, otolith | ||
105 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | 105 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | ||
106 | trace metals, PAHs, source, transport, transformation, pathways, | 106 | trace metals, PAHs, source, transport, transformation, pathways, | ||
107 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | 107 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | ||
108 | Observation Science: Active and passive microwave, LiDAR, EM | 108 | Observation Science: Active and passive microwave, LiDAR, EM | ||
109 | induction, spatial-temporal analysis, forward and inverse scattering | 109 | induction, spatial-temporal analysis, forward and inverse scattering | ||
110 | models, complex permittivity, ocean colour, ocean surface roughness, | 110 | models, complex permittivity, ocean colour, ocean surface roughness, | ||
111 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | 111 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | ||
112 | Biophysical processes, primary production; ice algae, ice | 112 | Biophysical processes, primary production; ice algae, ice | ||
113 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | 113 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | ||
114 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | 114 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | ||
115 | transport, nutrient transport, contaminants, landscape processes, | 115 | transport, nutrient transport, contaminants, landscape processes, | ||
116 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | 116 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | ||
117 | whales, habitat, conservation, satellite telemetry, distribution, | 117 | whales, habitat, conservation, satellite telemetry, distribution, | ||
118 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | 118 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | ||
119 | Simulation of sea ice and oceanic regional processes, Nucleus for | 119 | Simulation of sea ice and oceanic regional processes, Nucleus for | ||
120 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | 120 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | ||
121 | interactions, hind cast simulations and projections for sea ice state | 121 | interactions, hind cast simulations and projections for sea ice state | ||
122 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | 122 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | ||
123 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | 123 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | ||
124 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | 124 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | ||
125 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | 125 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | ||
126 | processes, extreme ice features and hazards, snow, ridges, | 126 | processes, extreme ice features and hazards, snow, ridges, | ||
127 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | 127 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | ||
128 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | 128 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | ||
129 | hunting, food security, sea ice use, community-based research, | 129 | hunting, food security, sea ice use, community-based research, | ||
130 | community-based monitoring, two ways of knowing.", | 130 | community-based monitoring, two ways of knowing.", | ||
131 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 131 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
132 | "image_url": | 132 | "image_url": | ||
133 | "2021-10-27-025042.870625UM-EarthObservationScience-cmyk-right.png", | 133 | "2021-10-27-025042.870625UM-EarthObservationScience-cmyk-right.png", | ||
134 | "is_organization": true, | 134 | "is_organization": true, | ||
135 | "name": "ceos2", | 135 | "name": "ceos2", | ||
136 | "state": "active", | 136 | "state": "active", | ||
137 | "title": "CEOS", | 137 | "title": "CEOS", | ||
138 | "type": "organization" | 138 | "type": "organization" | ||
139 | }, | 139 | }, | ||
140 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 140 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
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149 | "resourceType": "Online Resource", | 149 | "resourceType": "Online Resource", | ||
150 | "seriesName": "" | 150 | "seriesName": "" | ||
151 | } | 151 | } | ||
152 | ], | 152 | ], | ||
153 | "related_datasets": "[]", | 153 | "related_datasets": "[]", | ||
154 | "related_programs": "[\"504c728f-da7d-4da9-acab-8430ed5c47ea\"]", | 154 | "related_programs": "[\"504c728f-da7d-4da9-acab-8430ed5c47ea\"]", | ||
155 | "relationships_as_object": [], | 155 | "relationships_as_object": [], | ||
156 | "relationships_as_subject": [], | 156 | "relationships_as_subject": [], | ||
157 | "resources": [ | 157 | "resources": [ | ||
158 | { | 158 | { | ||
159 | "cache_last_updated": null, | 159 | "cache_last_updated": null, | ||
160 | "cache_url": null, | 160 | "cache_url": null, | ||
161 | "created": "2021-11-05T22:30:23.661687", | 161 | "created": "2021-11-05T22:30:23.661687", | ||
162 | "datastore_active": false, | 162 | "datastore_active": false, | ||
163 | "datastore_contains_all_records_of_source_file": false, | 163 | "datastore_contains_all_records_of_source_file": false, | ||
164 | "description": "The Nelson/Hayes River (NHR), located in the | 164 | "description": "The Nelson/Hayes River (NHR), located in the | ||
165 | southwestern edge of the Hudson Bay (HB) (Canada) (Fig. 1) contributed | 165 | southwestern edge of the Hudson Bay (HB) (Canada) (Fig. 1) contributed | ||
166 | approximately 47% of the mean annual discharge of the western HB | 166 | approximately 47% of the mean annual discharge of the western HB | ||
167 | during the period 1964-2013 (D\u00e9ry et al, 2016). This voluminous | 167 | during the period 1964-2013 (D\u00e9ry et al, 2016). This voluminous | ||
168 | freshwater input controls the ocean processes in the south western to | 168 | freshwater input controls the ocean processes in the south western to | ||
169 | southern HB. Moreover hydroelectric regulation of the Nelson River has | 169 | southern HB. Moreover hydroelectric regulation of the Nelson River has | ||
170 | modified the discharge resulting in an increased winter discharge and | 170 | modified the discharge resulting in an increased winter discharge and | ||
171 | flattened summer hydrograph . This called for a need to investigate | 171 | flattened summer hydrograph . This called for a need to investigate | ||
172 | the revised seasonal signals of the river runoff in a spatio-temporal | 172 | the revised seasonal signals of the river runoff in a spatio-temporal | ||
173 | scale. Ocean color remote sensing approach provides a convenient way | 173 | scale. Ocean color remote sensing approach provides a convenient way | ||
174 | to study the mixed layer processes within the photic depth limit | 174 | to study the mixed layer processes within the photic depth limit | ||
175 | (Wozniak et al, 2010). This study has attempted to detect the NHR | 175 | (Wozniak et al, 2010). This study has attempted to detect the NHR | ||
176 | plume dispersion limit using color dissolved organic matter (CDOM) as | 176 | plume dispersion limit using color dissolved organic matter (CDOM) as | ||
177 | the ocean color proxy for terrestrial discharge, (Fichot et al, | 177 | the ocean color proxy for terrestrial discharge, (Fichot et al, | ||
178 | 2013).\r\n", | 178 | 2013).\r\n", | ||
179 | "format": "PDF", | 179 | "format": "PDF", | ||
180 | "hash": "", | 180 | "hash": "", | ||
181 | "id": "913f0783-1d97-4e18-b087-554732049a23", | 181 | "id": "913f0783-1d97-4e18-b087-554732049a23", | ||
182 | "last_modified": "2021-11-06T18:37:09.448892", | 182 | "last_modified": "2021-11-06T18:37:09.448892", | ||
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184 | "mimetype": "application/pdf", | 184 | "mimetype": "application/pdf", | ||
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186 | "name": "An optical assessment of the nelson/hayes river plume | 186 | "name": "An optical assessment of the nelson/hayes river plume | ||
187 | dispersion extent in hudson bay (canada)", | 187 | dispersion extent in hudson bay (canada)", | ||
188 | "package_id": "51d3a499-75bd-4662-97e3-0d31d9fcb8dc", | 188 | "package_id": "51d3a499-75bd-4662-97e3-0d31d9fcb8dc", | ||
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195 | ource/913f0783-1d97-4e18-b087-554732049a23/download/basu_igs2019.pdf", | 195 | ource/913f0783-1d97-4e18-b087-554732049a23/download/basu_igs2019.pdf", | ||
196 | "url_type": "upload" | 196 | "url_type": "upload" | ||
197 | }, | 197 | }, | ||
198 | { | 198 | { | ||
199 | "cache_last_updated": null, | 199 | "cache_last_updated": null, | ||
200 | "cache_url": null, | 200 | "cache_url": null, | ||
201 | "created": "2021-11-05T22:34:50.364874", | 201 | "created": "2021-11-05T22:34:50.364874", | ||
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203 | "datastore_contains_all_records_of_source_file": false, | 203 | "datastore_contains_all_records_of_source_file": false, | ||
204 | "description": "The aim of this study is to examine the role of | 204 | "description": "The aim of this study is to examine the role of | ||
205 | regulated rivers on bottom ice algal communities and phytoplankton by | 205 | regulated rivers on bottom ice algal communities and phytoplankton by | ||
206 | investigating the following objectives along a salinity gradient: 1. | 206 | investigating the following objectives along a salinity gradient: 1. | ||
207 | Examine the influence of the river plume on ice algal and | 207 | Examine the influence of the river plume on ice algal and | ||
208 | phytoplankton production from the estuary to the marine system 2. | 208 | phytoplankton production from the estuary to the marine system 2. | ||
209 | Examine the variability in ice algal biomass and nutrient availability | 209 | Examine the variability in ice algal biomass and nutrient availability | ||
210 | 3. Investigate the influence of the river output on taxonomic | 210 | 3. Investigate the influence of the river output on taxonomic | ||
211 | composition.", | 211 | composition.", | ||
212 | "format": "PDF", | 212 | "format": "PDF", | ||
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214 | "id": "aeb6b641-7a8e-40f4-abb4-509905234bc9", | 214 | "id": "aeb6b641-7a8e-40f4-abb4-509905234bc9", | ||
215 | "last_modified": "2021-11-06T18:48:54.700288", | 215 | "last_modified": "2021-11-06T18:48:54.700288", | ||
216 | "metadata_modified": "2021-11-06T18:55:33.074858", | 216 | "metadata_modified": "2021-11-06T18:55:33.074858", | ||
217 | "mimetype": "application/pdf", | 217 | "mimetype": "application/pdf", | ||
218 | "mimetype_inner": null, | 218 | "mimetype_inner": null, | ||
219 | "name": "Response of biological communities to a seasonal | 219 | "name": "Response of biological communities to a seasonal | ||
220 | freshwater gradient in southwestern Hudson Bay, Canada\t", | 220 | freshwater gradient in southwestern Hudson Bay, Canada\t", | ||
221 | "package_id": "51d3a499-75bd-4662-97e3-0d31d9fcb8dc", | 221 | "package_id": "51d3a499-75bd-4662-97e3-0d31d9fcb8dc", | ||
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228 | rce/aeb6b641-7a8e-40f4-abb4-509905234bc9/download/dalman_igs2019.pdf", | 228 | rce/aeb6b641-7a8e-40f4-abb4-509905234bc9/download/dalman_igs2019.pdf", | ||
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231 | { | 231 | { | ||
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234 | "created": "2021-11-05T22:35:37.418474", | 234 | "created": "2021-11-05T22:35:37.418474", | ||
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237 | "description": "**Motivation** \r\n\r\n- Sediments are | 237 | "description": "**Motivation** \r\n\r\n- Sediments are | ||
238 | hypothesized to enhance the rate of sea ice surface melt by decreasing | 238 | hypothesized to enhance the rate of sea ice surface melt by decreasing | ||
239 | surface albedo \r\n\r\n- Enhanced surface melt influences the sea ice | 239 | surface albedo \r\n\r\n- Enhanced surface melt influences the sea ice | ||
240 | surface topography/roughness, as well as increasing surface wetness | 240 | surface topography/roughness, as well as increasing surface wetness | ||
241 | \r\n\r\n- As a result, sediment presence on the ice surface could | 241 | \r\n\r\n- As a result, sediment presence on the ice surface could | ||
242 | impact both optical and radiometric satellite-borne measurements | 242 | impact both optical and radiometric satellite-borne measurements | ||
243 | (through changes in albedo and surface wetness, respectively)\r\n", | 243 | (through changes in albedo and surface wetness, respectively)\r\n", | ||
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252 | sea ice topography evolution throughout the melt season", | 252 | sea ice topography evolution throughout the melt season", | ||
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269 | "description": "Diel vertical migration (DVM) of zooplanktonis a | 269 | "description": "Diel vertical migration (DVM) of zooplanktonis a | ||
270 | process of synchronized movement of the organisms from the mesopelagic | 270 | process of synchronized movement of the organisms from the mesopelagic | ||
271 | zone up to the epipelagic zone at night and returning back during the | 271 | zone up to the epipelagic zone at night and returning back during the | ||
272 | day. DVM is considered to be the largest synchronized diel movement of | 272 | day. DVM is considered to be the largest synchronized diel movement of | ||
273 | biomasson the planet. It also acts as a biological pump in | 273 | biomasson the planet. It also acts as a biological pump in | ||
274 | transferring organic carbon from the surface of the ocean to | 274 | transferring organic carbon from the surface of the ocean to | ||
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283 | "name": "Impact of ice covers on diel vertical migration of | 283 | "name": "Impact of ice covers on diel vertical migration of | ||
284 | zooplankton in the Arctic marine environment", | 284 | zooplankton in the Arctic marine environment", | ||
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301 | "description": "Little information exists concerning the | 301 | "description": "Little information exists concerning the | ||
302 | riverine supply of inorganic nutrients and its consequences on primary | 302 | riverine supply of inorganic nutrients and its consequences on primary | ||
303 | production in the Hudson Bay system (HB), a large subarctic inland sea | 303 | production in the Hudson Bay system (HB), a large subarctic inland sea | ||
304 | that is impacted by rapid climate change and anthropogenic | 304 | that is impacted by rapid climate change and anthropogenic | ||
305 | disturbance. In order to provide a reference point by which future | 305 | disturbance. In order to provide a reference point by which future | ||
306 | changes can be evaluated, we estimated fluxes of nitrate (N), | 306 | changes can be evaluated, we estimated fluxes of nitrate (N), | ||
307 | phosphate (P) and silicate (Si) using contemporary and historical | 307 | phosphate (P) and silicate (Si) using contemporary and historical | ||
308 | nutrient data in conjunction with discharge rates generated by 3 | 308 | nutrient data in conjunction with discharge rates generated by 3 | ||
309 | different global climate models. Several key points can be | 309 | different global climate models. Several key points can be | ||
310 | highlighted. Firstly, the N:P and Si:N molar ratios of river nutrient | 310 | highlighted. Firstly, the N:P and Si:N molar ratios of river nutrient | ||
311 | fluxes exhibit large contrasts between different sectors of HB, which | 311 | fluxes exhibit large contrasts between different sectors of HB, which | ||
312 | is attributed to variable geological settings in the watersheds. | 312 | is attributed to variable geological settings in the watersheds. | ||
313 | Generally, low N:P and high Si:N ratios imply that river waters are | 313 | Generally, low N:P and high Si:N ratios imply that river waters are | ||
314 | characterized by a severe deficit of nitrate with respect to the needs | 314 | characterized by a severe deficit of nitrate with respect to the needs | ||
315 | of primary producers. Secondly, seasonality in nutrient concentrations | 315 | of primary producers. Secondly, seasonality in nutrient concentrations | ||
316 | and ratios were apparent in the sampled rivers at different times of | 316 | and ratios were apparent in the sampled rivers at different times of | ||
317 | years. While the regulation of river flow in the Nelson and La Grande | 317 | years. While the regulation of river flow in the Nelson and La Grande | ||
318 | rivers had no discernible impact on nutrient concentrations and | 318 | rivers had no discernible impact on nutrient concentrations and | ||
319 | ratios, it clearly shifted nutrient transports toward the winter when | 319 | ratios, it clearly shifted nutrient transports toward the winter when | ||
320 | biological activity in the estuaries is reduced. Thirdly, the | 320 | biological activity in the estuaries is reduced. Thirdly, the | ||
321 | southwestern rivers made the largest contributions of each nutrient | 321 | southwestern rivers made the largest contributions of each nutrient | ||
322 | flux to the total annual nutrient deliveries, with the modest | 322 | flux to the total annual nutrient deliveries, with the modest | ||
323 | contributions from the south and east rivers, and with the lowest | 323 | contributions from the south and east rivers, and with the lowest | ||
324 | contributions from the northwestern rivers. Finally, the combined | 324 | contributions from the northwestern rivers. Finally, the combined | ||
325 | nitrate input by all rivers was nearly two orders of magnitude (ca. | 325 | nitrate input by all rivers was nearly two orders of magnitude (ca. | ||
326 | 2.0 \u00d7 10^10 g N) lower than the estimated vertical re-supply of | 326 | 2.0 \u00d7 10^10 g N) lower than the estimated vertical re-supply of | ||
327 | nitrate to the surface during winter in offshore waters of HB (ca. 1.2 | 327 | nitrate to the surface during winter in offshore waters of HB (ca. 1.2 | ||
328 | \u00d7 10^12 g N). The potential contribution of river nutrients to | 328 | \u00d7 10^12 g N). The potential contribution of river nutrients to | ||
329 | new primary production is therefore small at HB scale but can be | 329 | new primary production is therefore small at HB scale but can be | ||
330 | significant locally.", | 330 | significant locally.", | ||
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357 | observations of the Hudson Strait inflow\r\n\r\n- Determine Hudson | 357 | observations of the Hudson Strait inflow\r\n\r\n- Determine Hudson | ||
358 | Strait inflow source waters\r\n\r\n- Estimate Hudson Strait inflow | 358 | Strait inflow source waters\r\n\r\n- Estimate Hudson Strait inflow | ||
359 | pathways within the Hudson Bay Complex\r\n", | 359 | pathways within the Hudson Bay Complex\r\n", | ||
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386 | change, anthropogenic water use, and model uncertainty at the | 386 | change, anthropogenic water use, and model uncertainty at the | ||
387 | continental scale.\r\n\r\n", | 387 | continental scale.\r\n\r\n", | ||
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412 | "description": "The Influence of freshwater on nutrient | 412 | "description": "The Influence of freshwater on nutrient | ||
413 | conditions for primary production in the coastal waters of northeast | 413 | conditions for primary production in the coastal waters of northeast | ||
414 | James Bay.", | 414 | James Bay.", | ||
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440 | Variability of the Polynya in Northwestern Hudson Bay", | 440 | Variability of the Polynya in Northwestern Hudson Bay", | ||
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