Changes
On November 4, 2021 at 9:04:26 PM CDT, Claire Herbert:
-
Added resource Sea-ice edge phytoplankton bloom to Sea-ice edge phytoplankton bloom
f | 1 | { | f | 1 | { |
2 | "Creator": "Creator", | 2 | "Creator": "Creator", | ||
3 | "Date": "2021-02-04", | 3 | "Date": "2021-02-04", | ||
4 | "IdentifierType": "DOI", | 4 | "IdentifierType": "DOI", | ||
5 | "PublicationYear": "2021", | 5 | "PublicationYear": "2021", | ||
6 | "Publisher": "CanWIN", | 6 | "Publisher": "CanWIN", | ||
7 | "RelatedIdentifierType": "URL", | 7 | "RelatedIdentifierType": "URL", | ||
8 | "RelationType": "IsSupplementTo", | 8 | "RelationType": "IsSupplementTo", | ||
9 | "ResourceType": "Phytoplankton bloom", | 9 | "ResourceType": "Phytoplankton bloom", | ||
10 | "Rights": "Creative Commons Attribution 4.0 International", | 10 | "Rights": "Creative Commons Attribution 4.0 International", | ||
11 | "Version": "1.0", | 11 | "Version": "1.0", | ||
12 | "accessTerms": "CanWIN datasets are licensed individually, details | 12 | "accessTerms": "CanWIN datasets are licensed individually, details | ||
13 | for each licence used can be found using the Licence URL link provided | 13 | for each licence used can be found using the Licence URL link provided | ||
14 | with each dataset. \r\nBy accessing this Web site and Database, you | 14 | with each dataset. \r\nBy accessing this Web site and Database, you | ||
15 | are agreeing to be bound by CanWIN's Terms of Use, all applicable laws | 15 | are agreeing to be bound by CanWIN's Terms of Use, all applicable laws | ||
16 | and regulations, and agree that you are responsible for compliance | 16 | and regulations, and agree that you are responsible for compliance | ||
17 | with any applicable local laws. If you do not agree with any of these | 17 | with any applicable local laws. If you do not agree with any of these | ||
18 | terms, do not use this site. Any claim relating to this web site shall | 18 | terms, do not use this site. Any claim relating to this web site shall | ||
19 | be governed by the laws of the Province of Manitoba without regard to | 19 | be governed by the laws of the Province of Manitoba without regard to | ||
20 | its conflict of law provisions", | 20 | its conflict of law provisions", | ||
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41 | "campaignStartDate": "", | 41 | "campaignStartDate": "", | ||
42 | "comments": "", | 42 | "comments": "", | ||
43 | "contributorName": "Lucas Barbedo", | 43 | "contributorName": "Lucas Barbedo", | ||
44 | "contributorType": "DataCurator", | 44 | "contributorType": "DataCurator", | ||
45 | "contributors": [ | 45 | "contributors": [ | ||
46 | { | 46 | { | ||
47 | "affiliation": "Universit\u00e9 du Qu\u00e9bec \u00e0 Rimouski", | 47 | "affiliation": "Universit\u00e9 du Qu\u00e9bec \u00e0 Rimouski", | ||
48 | "contributorName": "Belanger, Simon", | 48 | "contributorName": "Belanger, Simon", | ||
49 | "contributorType": "Researcher", | 49 | "contributorType": "Researcher", | ||
50 | "email": "", | 50 | "email": "", | ||
51 | "nameIdentifier": "ORCID", | 51 | "nameIdentifier": "ORCID", | ||
52 | "nameIdentifierScheme": "ORCID", | 52 | "nameIdentifierScheme": "ORCID", | ||
53 | "schemeURI": "http://orcid.org/" | 53 | "schemeURI": "http://orcid.org/" | ||
54 | }, | 54 | }, | ||
55 | { | 55 | { | ||
56 | "affiliation": "Universit\u00e9 Laval", | 56 | "affiliation": "Universit\u00e9 Laval", | ||
57 | "contributorName": "Tremblay, Jean-Eric", | 57 | "contributorName": "Tremblay, Jean-Eric", | ||
58 | "contributorType": "Researcher", | 58 | "contributorType": "Researcher", | ||
59 | "email": "", | 59 | "email": "", | ||
60 | "nameIdentifier": "ORCID", | 60 | "nameIdentifier": "ORCID", | ||
61 | "nameIdentifierScheme": "ORCID", | 61 | "nameIdentifierScheme": "ORCID", | ||
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69 | "schemeURI": "http://orcid.org/" | 69 | "schemeURI": "http://orcid.org/" | ||
70 | }, | 70 | }, | ||
71 | "author": "Barbedo, Lucas", | 71 | "author": "Barbedo, Lucas", | ||
72 | "creatorAffiliation": "Universit\u00e9 du Qu\u00e9bec \u00e0 | 72 | "creatorAffiliation": "Universit\u00e9 du Qu\u00e9bec \u00e0 | ||
73 | Rimouski", | 73 | Rimouski", | ||
74 | "creatorEmail": "lucasbarbedo@gmail.com", | 74 | "creatorEmail": "lucasbarbedo@gmail.com", | ||
75 | "creatorNameIdentifier": "0000-0003-4599-8348", | 75 | "creatorNameIdentifier": "0000-0003-4599-8348", | ||
76 | "nameType": "Personal" | 76 | "nameType": "Personal" | ||
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79 | "creator_user_id": "c3ad971e-75e0-4e57-b825-8ed25f306937", | 79 | "creator_user_id": "c3ad971e-75e0-4e57-b825-8ed25f306937", | ||
80 | "dataCuratorAffiliation": "Universit\u00e9 du Qu\u00e9bec \u00e0 | 80 | "dataCuratorAffiliation": "Universit\u00e9 du Qu\u00e9bec \u00e0 | ||
81 | Rimouski", | 81 | Rimouski", | ||
82 | "dataCuratorEmail": "lucasbarbedo@gmail.com", | 82 | "dataCuratorEmail": "lucasbarbedo@gmail.com", | ||
83 | "datasetCitation": "Barbedo, L. 2020. \"Sea-Ice Edge Phytoplankton | 83 | "datasetCitation": "Barbedo, L. 2020. \"Sea-Ice Edge Phytoplankton | ||
84 | Bloom\", Baysys Team 3 - Marine Ecosystems, 10.34992/1e0k-4m16, | 84 | Bloom\", Baysys Team 3 - Marine Ecosystems, 10.34992/1e0k-4m16, | ||
85 | Canadian Watershed Information Network, V1.", | 85 | Canadian Watershed Information Network, V1.", | ||
86 | "datasetIdentifier": "10.34992/1e0k-4m16", | 86 | "datasetIdentifier": "10.34992/1e0k-4m16", | ||
87 | "datasetLevel": "1.2", | 87 | "datasetLevel": "1.2", | ||
88 | "datasetPublisher": "CanWIN", | 88 | "datasetPublisher": "CanWIN", | ||
89 | "dateType": "Updated", | 89 | "dateType": "Updated", | ||
90 | "descriptionType": "Abstract", | 90 | "descriptionType": "Abstract", | ||
91 | "embargoDate": "", | 91 | "embargoDate": "", | ||
92 | "endDate": "2021-11-11", | 92 | "endDate": "2021-11-11", | ||
93 | "endDateType": "Other", | 93 | "endDateType": "Other", | ||
94 | "frequency": "As needed", | 94 | "frequency": "As needed", | ||
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97 | "funderSchemeURI": "", | 97 | "funderSchemeURI": "", | ||
n | 98 | "groups": [], | n | 98 | "groups": [ |
99 | { | ||||
100 | "description": "The cryosphere encompasses all the parts of the | ||||
101 | Earth system where water is in solid form, including ice sheets, ice | ||||
102 | shelves, glaciers, snow cover, permafrost (frozen ground), sea ice, | ||||
103 | and river and lake ice. The cryosphere exerts an important influence | ||||
104 | on Earth\u2019s climate. Image and description from | ||||
105 | https://climate.copernicus.eu.", | ||||
106 | "display_name": "Cryosphere", | ||||
107 | "id": "3707ff10-6424-4858-9ec9-7d67b38831b3", | ||||
108 | "image_display_url": | ||||
109 | loads/group/2021-11-01-152857.585996C3SindicatorscryosphereFig10.png", | ||||
110 | "name": "cryosphere", | ||||
111 | "title": "Cryosphere" | ||||
112 | }, | ||||
113 | { | ||||
114 | "description": "Female Daphnia magna carrying a resting egg | ||||
115 | (\"ephippium\"). The black ephippium is part of the carapace and | ||||
116 | contains usually two sexual eggs. Photo by Dieter Ebert, Basel, | ||||
117 | Switzerland. \r\nCC BY-SA 4.0 Licence\r\n", | ||||
118 | "display_name": "Marine", | ||||
119 | "id": "98238b1c-5be8-41ad-8c6e-74cdc4f5f369", | ||||
120 | "image_display_url": | ||||
121 | ata/uploads/group/2021-10-31-211516.365746ofinspireoceanographic.svg", | ||||
122 | "name": "marine", | ||||
123 | "title": "Marine" | ||||
124 | } | ||||
125 | ], | ||||
99 | "id": "49695e4c-2b6d-4144-8939-fe680eebf4c7", | 126 | "id": "49695e4c-2b6d-4144-8939-fe680eebf4c7", | ||
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106 | "https://www.polardata.ca/pdcinput/public/keywordlibrary", | 133 | "https://www.polardata.ca/pdcinput/public/keywordlibrary", | ||
107 | "laboratory": "", | 134 | "laboratory": "", | ||
108 | "licenceShemeURI": "https://spdx.org/licenses", | 135 | "licenceShemeURI": "https://spdx.org/licenses", | ||
109 | "licenceType": "Open", | 136 | "licenceType": "Open", | ||
110 | "license_id": null, | 137 | "license_id": null, | ||
111 | "license_title": null, | 138 | "license_title": null, | ||
112 | "maintainer": null, | 139 | "maintainer": null, | ||
113 | "maintainer_email": null, | 140 | "maintainer_email": null, | ||
114 | "metadata_created": "2021-11-05T01:58:56.756124", | 141 | "metadata_created": "2021-11-05T01:58:56.756124", | ||
n | 115 | "metadata_modified": "2021-11-05T02:00:58.535084", | n | 142 | "metadata_modified": "2021-11-05T02:04:25.854884", |
116 | "methodCitation": "", | 143 | "methodCitation": "", | ||
117 | "methodDescrioption": "", | 144 | "methodDescrioption": "", | ||
118 | "methodDescriptionType": "Methods", | 145 | "methodDescriptionType": "Methods", | ||
119 | "methodLink": "", | 146 | "methodLink": "", | ||
120 | "methodSummary": "", | 147 | "methodSummary": "", | ||
121 | "methodTitle": "", | 148 | "methodTitle": "", | ||
122 | "methodUrl": "", | 149 | "methodUrl": "", | ||
123 | "name": "sea-ice-edge-phytoplankton-bloom", | 150 | "name": "sea-ice-edge-phytoplankton-bloom", | ||
124 | "notes": "Satellite-derived sea-ice retreat timing (tR) and maximum | 151 | "notes": "Satellite-derived sea-ice retreat timing (tR) and maximum | ||
125 | chlorophyll-a concentration in the ice edge zone between 1998 and | 152 | chlorophyll-a concentration in the ice edge zone between 1998 and | ||
126 | 2018. Sea ice concentration (SIC) was obtained from the National Snow | 153 | 2018. Sea ice concentration (SIC) was obtained from the National Snow | ||
127 | and Ice Data Center. It is based on daily passive microwave radiometry | 154 | and Ice Data Center. It is based on daily passive microwave radiometry | ||
128 | processed using the Bootstrap algorithm (Comiso, 2000) at 25 km | 155 | processed using the Bootstrap algorithm (Comiso, 2000) at 25 km | ||
129 | resolution. The Bootstrap technique clusters the multichannel passive | 156 | resolution. The Bootstrap technique clusters the multichannel passive | ||
130 | microwave sensors: Scanning Multi- channel Microwave Radiometer on the | 157 | microwave sensors: Scanning Multi- channel Microwave Radiometer on the | ||
131 | Nimbus-7 satellite, Special Sensor Microwave/Imager and Special Sensor | 158 | Nimbus-7 satellite, Special Sensor Microwave/Imager and Special Sensor | ||
132 | Microwave Imager/Sounder from the Defense Meteorological Satellite | 159 | Microwave Imager/Sounder from the Defense Meteorological Satellite | ||
133 | Program\u2019s satellites, and the Advanced Microwave Scanning | 160 | Program\u2019s satellites, and the Advanced Microwave Scanning | ||
134 | Radiometer (Comiso et al., 1997). SIC was interpolated onto the same | 161 | Radiometer (Comiso et al., 1997). SIC was interpolated onto the same | ||
135 | Chla grid using the nearest neighborhood scheme implemented in | 162 | Chla grid using the nearest neighborhood scheme implemented in | ||
136 | Matlab.\r\n\r\nMulti-sensor merged clorophyll-a concentration (Chla) | 163 | Matlab.\r\n\r\nMulti-sensor merged clorophyll-a concentration (Chla) | ||
137 | Level-3 (i.e., binned and mapped) 8-day composites from the Globcolour | 164 | Level-3 (i.e., binned and mapped) 8-day composites from the Globcolour | ||
138 | Project (http://www.globcolour.info/) were used as a proxy for | 165 | Project (http://www.globcolour.info/) were used as a proxy for | ||
139 | phytoplankton biomass. Globcolour products have a spa- tial resolution | 166 | phytoplankton biomass. Globcolour products have a spa- tial resolution | ||
140 | of 4.63 km and cover the 1998\u20132018 period. The merged product was | 167 | of 4.63 km and cover the 1998\u20132018 period. The merged product was | ||
141 | selected to improve the spatial-temporal coverage diminishing gaps due | 168 | selected to improve the spatial-temporal coverage diminishing gaps due | ||
142 | to cloud cover and sea-ice coverage (Maritorena et al., 2010). The | 169 | to cloud cover and sea-ice coverage (Maritorena et al., 2010). The | ||
143 | binning methodology combines the normalized water- leaving radiances | 170 | binning methodology combines the normalized water- leaving radiances | ||
144 | from different ocean color sensors whenever they are available, which | 171 | from different ocean color sensors whenever they are available, which | ||
145 | includes SeaWiFS (1998\u20132010), MODIS-Aqua (2002\u20132018), | 172 | includes SeaWiFS (1998\u20132010), MODIS-Aqua (2002\u20132018), | ||
146 | Medium- Resolution Imaging Spectrometer (MERIS: 2002\u20132011), and | 173 | Medium- Resolution Imaging Spectrometer (MERIS: 2002\u20132011), and | ||
147 | Visible Infrared Imaging Radiometer Suite (VIIRS: 2012\u20132018). | 174 | Visible Infrared Imaging Radiometer Suite (VIIRS: 2012\u20132018). | ||
148 | [Chla] was estimated from normalized water-leaving radiances merged | 175 | [Chla] was estimated from normalized water-leaving radiances merged | ||
149 | using the Garver-Siegel- Maritorena (GSM) semi-analytical model | 176 | using the Garver-Siegel- Maritorena (GSM) semi-analytical model | ||
150 | (Garver and Siegel, 1997; Maritorena et al., 2002).\r\n\r\nTo assess | 177 | (Garver and Siegel, 1997; Maritorena et al., 2002).\r\n\r\nTo assess | ||
151 | the impacts of sea-ice retreat timing on marginal ice zone | 178 | the impacts of sea-ice retreat timing on marginal ice zone | ||
152 | phytoplankton blooms (also refers to phytoplankton spring blooms or | 179 | phytoplankton blooms (also refers to phytoplankton spring blooms or | ||
153 | ice-edge blooms), we analyzed both Chla and SIC variability in | 180 | ice-edge blooms), we analyzed both Chla and SIC variability in | ||
154 | parallel. The method is similar to that of Perrette et al. (2011), | 181 | parallel. The method is similar to that of Perrette et al. (2011), | ||
155 | which was also adopted by Lowry et al. (2014) and Renaut et al. | 182 | which was also adopted by Lowry et al. (2014) and Renaut et al. | ||
156 | (2018). The sea-ice retreat, tR, is defined as the day at which SIC is | 183 | (2018). The sea-ice retreat, tR, is defined as the day at which SIC is | ||
157 | below 10% for at least 24 days. This time interval is longer than the | 184 | below 10% for at least 24 days. This time interval is longer than the | ||
158 | 20 days applied by Perrette et al. (2011) and Renaut et al. (2018) and | 185 | 20 days applied by Perrette et al. (2011) and Renaut et al. (2018) and | ||
159 | the 14 days by Lowry et al. (2014) because we used 8-day composites | 186 | the 14 days by Lowry et al. (2014) because we used 8-day composites | ||
160 | instead of daily maps. However, to avoid sub-pixel contamination in | 187 | instead of daily maps. However, to avoid sub-pixel contamination in | ||
161 | ice-infested regions near the ice edge (Be\u00b4langer et al., 2013), | 188 | ice-infested regions near the ice edge (Be\u00b4langer et al., 2013), | ||
162 | we opted to be more conservative by applying a 10% threshold on SIC, | 189 | we opted to be more conservative by applying a 10% threshold on SIC, | ||
163 | as did Perrette et al. (2011) and Renaut et al. (2018) instead of 50% | 190 | as did Perrette et al. (2011) and Renaut et al. (2018) instead of 50% | ||
164 | as applied by Lowry et al. (2014). The maximum Chla observed in the | 191 | as applied by Lowry et al. (2014). The maximum Chla observed in the | ||
165 | ice edge zone was extracted for each pixel for each year, yielding one | 192 | ice edge zone was extracted for each pixel for each year, yielding one | ||
166 | map of MIZ Chla per year.", | 193 | map of MIZ Chla per year.", | ||
n | 167 | "num_resources": 1, | n | 194 | "num_resources": 2, |
168 | "num_tags": 4, | 195 | "num_tags": 4, | ||
169 | "organization": { | 196 | "organization": { | ||
170 | "approval_status": "approved", | 197 | "approval_status": "approved", | ||
171 | "created": "2017-07-21T13:15:49.935872", | 198 | "created": "2017-07-21T13:15:49.935872", | ||
172 | "description": "The Centre for Earth Observation Science (CEOS) | 199 | "description": "The Centre for Earth Observation Science (CEOS) | ||
173 | was established in 1994 with a mandate to research, preserve and | 200 | was established in 1994 with a mandate to research, preserve and | ||
174 | communicate knowledge of Earth system processes using the technologies | 201 | communicate knowledge of Earth system processes using the technologies | ||
175 | of Earth Observation Science. Research is multidisciplinary and | 202 | of Earth Observation Science. Research is multidisciplinary and | ||
176 | collaborative seeking to understand the complex interrelationships | 203 | collaborative seeking to understand the complex interrelationships | ||
177 | between elements of Earth systems, and how these systems will likely | 204 | between elements of Earth systems, and how these systems will likely | ||
178 | respond to climate change. Although researchers have worked in many | 205 | respond to climate change. Although researchers have worked in many | ||
179 | regions, the Arctic marine system has always been a unifying focus of | 206 | regions, the Arctic marine system has always been a unifying focus of | ||
180 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | 207 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | ||
181 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | 208 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | ||
182 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | 209 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | ||
183 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | 210 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | ||
184 | existing research activity are divided among key themes:\r\n\r\nArctic | 211 | existing research activity are divided among key themes:\r\n\r\nArctic | ||
185 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | 212 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | ||
186 | preservation, archaeo-geophysics, permafrost degredation, lithic | 213 | preservation, archaeo-geophysics, permafrost degredation, lithic | ||
187 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | 214 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | ||
188 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | 215 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | ||
189 | ethnographic analogy, traditional knowledge, climate change and | 216 | ethnographic analogy, traditional knowledge, climate change and | ||
190 | northern heritage resource management.\r\n\r\nAtmospheric | 217 | northern heritage resource management.\r\n\r\nAtmospheric | ||
191 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | 218 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | ||
192 | extreme weather, circulation, eddy correlations, polar vortex, | 219 | extreme weather, circulation, eddy correlations, polar vortex, | ||
193 | climate, teleconnections, geophysical fluid dynamics, flux and energy | 220 | climate, teleconnections, geophysical fluid dynamics, flux and energy | ||
194 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | 221 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | ||
195 | albedo feedback, cloud radiative forcing, pCO2. | 222 | albedo feedback, cloud radiative forcing, pCO2. | ||
196 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | 223 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | ||
197 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | 224 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | ||
198 | metals, minerals, hydrocarbons, brine processes, otolith | 225 | metals, minerals, hydrocarbons, brine processes, otolith | ||
199 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | 226 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | ||
200 | trace metals, PAHs, source, transport, transformation, pathways, | 227 | trace metals, PAHs, source, transport, transformation, pathways, | ||
201 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | 228 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | ||
202 | Observation Science: Active and passive microwave, LiDAR, EM | 229 | Observation Science: Active and passive microwave, LiDAR, EM | ||
203 | induction, spatial-temporal analysis, forward and inverse scattering | 230 | induction, spatial-temporal analysis, forward and inverse scattering | ||
204 | models, complex permittivity, ocean colour, ocean surface roughness, | 231 | models, complex permittivity, ocean colour, ocean surface roughness, | ||
205 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | 232 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | ||
206 | Biophysical processes, primary production; ice algae, ice | 233 | Biophysical processes, primary production; ice algae, ice | ||
207 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | 234 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | ||
208 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | 235 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | ||
209 | transport, nutrient transport, contaminants, landscape processes, | 236 | transport, nutrient transport, contaminants, landscape processes, | ||
210 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | 237 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | ||
211 | whales, habitat, conservation, satellite telemetry, distribution, | 238 | whales, habitat, conservation, satellite telemetry, distribution, | ||
212 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | 239 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | ||
213 | Simulation of sea ice and oceanic regional processes, Nucleus for | 240 | Simulation of sea ice and oceanic regional processes, Nucleus for | ||
214 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | 241 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | ||
215 | interactions, hind cast simulations and projections for sea ice state | 242 | interactions, hind cast simulations and projections for sea ice state | ||
216 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | 243 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | ||
217 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | 244 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | ||
218 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | 245 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | ||
219 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | 246 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | ||
220 | processes, extreme ice features and hazards, snow, ridges, | 247 | processes, extreme ice features and hazards, snow, ridges, | ||
221 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | 248 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | ||
222 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | 249 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | ||
223 | hunting, food security, sea ice use, community-based research, | 250 | hunting, food security, sea ice use, community-based research, | ||
224 | community-based monitoring, two ways of knowing.", | 251 | community-based monitoring, two ways of knowing.", | ||
225 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 252 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
226 | "image_url": | 253 | "image_url": | ||
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229 | "name": "ceos2", | 256 | "name": "ceos2", | ||
230 | "state": "active", | 257 | "state": "active", | ||
231 | "title": "CEOS", | 258 | "title": "CEOS", | ||
232 | "type": "organization" | 259 | "type": "organization" | ||
233 | }, | 260 | }, | ||
234 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 261 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
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236 | "publications": [ | 263 | "publications": [ | ||
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247 | "related_campaigns": "[]", | 274 | "related_campaigns": "[]", | ||
248 | "related_deployments": "[]", | 275 | "related_deployments": "[]", | ||
249 | "related_instruments": "[]", | 276 | "related_instruments": "[]", | ||
250 | "related_platforms": "[]", | 277 | "related_platforms": "[]", | ||
251 | "related_programs": "[\"605cbdf7-68eb-4c39-970c-57be33d9d8b7\"]", | 278 | "related_programs": "[\"605cbdf7-68eb-4c39-970c-57be33d9d8b7\"]", | ||
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253 | "relationships_as_object": [], | 280 | "relationships_as_object": [], | ||
254 | "relationships_as_subject": [], | 281 | "relationships_as_subject": [], | ||
255 | "resourceTypeGeneral": "Dataset", | 282 | "resourceTypeGeneral": "Dataset", | ||
256 | "resources": [ | 283 | "resources": [ | ||
257 | { | 284 | { | ||
258 | "cache_last_updated": null, | 285 | "cache_last_updated": null, | ||
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260 | "created": "2021-11-05T01:59:36.583012", | 287 | "created": "2021-11-05T01:59:36.583012", | ||
261 | "datastore_active": false, | 288 | "datastore_active": false, | ||
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t | t | 307 | }, | ||
308 | { | ||||
309 | "cache_last_updated": null, | ||||
310 | "cache_url": null, | ||||
311 | "created": "2021-11-05T02:04:25.869951", | ||||
312 | "datastore_active": false, | ||||
313 | "datastore_contains_all_records_of_source_file": false, | ||||
314 | "description": "Satellite-derived sea-ice retreat timing (tR) | ||||
315 | and maximum chlorophyll-a concentration in the ice edge zone between | ||||
316 | 1998 and 2018. Sea ice concentration (SIC) was obtained from the | ||||
317 | National Snow and Ice Data Center. It is based on daily passive | ||||
318 | microwave radiometry processed using the Bootstrap algorithm (Comiso, | ||||
319 | 2000) at 25 km resolution. The Bootstrap technique clusters the | ||||
320 | multichannel passive microwave sensors: Scanning Multi- channel | ||||
321 | Microwave Radiometer on the Nimbus-7 satellite, Special Sensor | ||||
322 | Microwave/Imager and Special Sensor Microwave Imager/Sounder from the | ||||
323 | Defense Meteorological Satellite Program\u2019s satellites, and the | ||||
324 | Advanced Microwave Scanning Radiometer (Comiso et al., 1997). SIC was | ||||
325 | interpolated onto the same Chla grid using the nearest neighborhood | ||||
326 | scheme implemented in Matlab.\r\n\r\nMulti-sensor merged clorophyll-a | ||||
327 | concentration (Chla) Level-3 (i.e., binned and mapped) 8-day | ||||
328 | composites from the Globcolour Project (http://www.globcolour.info/) | ||||
329 | were used as a proxy for phytoplankton biomass. Globcolour products | ||||
330 | have a spa- tial resolution of 4.63 km and cover the 1998\u20132018 | ||||
331 | period. The merged product was selected to improve the | ||||
332 | spatial-temporal coverage diminishing gaps due to cloud cover and | ||||
333 | sea-ice coverage (Maritorena et al., 2010). The binning methodology | ||||
334 | combines the normalized water- leaving radiances from different ocean | ||||
335 | color sensors whenever they are available, which includes SeaWiFS | ||||
336 | (1998\u20132010), MODIS-Aqua (2002\u20132018), Medium- Resolution | ||||
337 | Imaging Spectrometer (MERIS: 2002\u20132011), and Visible Infrared | ||||
338 | Imaging Radiometer Suite (VIIRS: 2012\u20132018). [Chla] was estimated | ||||
339 | from normalized water-leaving radiances merged using the | ||||
340 | Garver-Siegel- Maritorena (GSM) semi-analytical model (Garver and | ||||
341 | Siegel, 1997; Maritorena et al., 2002).\r\n\r\nTo assess the impacts | ||||
342 | of sea-ice retreat timing on marginal ice zone phytoplankton blooms | ||||
343 | (also refers to phytoplankton spring blooms or ice-edge blooms), we | ||||
344 | analyzed both Chla and SIC variability in parallel. The method is | ||||
345 | similar to that of Perrette et al. (2011), which was also adopted by | ||||
346 | Lowry et al. (2014) and Renaut et al. (2018). The sea-ice retreat, tR, | ||||
347 | is defined as the day at which SIC is below 10% for at least 24 days. | ||||
348 | This time interval is longer than the 20 days applied by Perrette et | ||||
349 | al. (2011) and Renaut et al. (2018) and the 14 days by Lowry et al. | ||||
350 | (2014) because we used 8-day composites instead of daily maps. | ||||
351 | However, to avoid sub-pixel contamination in ice-infested regions near | ||||
352 | the ice edge (Be\u00b4langer et al., 2013), we opted to be more | ||||
353 | conservative by applying a 10% threshold on SIC, as did Perrette et | ||||
354 | al. (2011) and Renaut et al. (2018) instead of 50% as applied by Lowry | ||||
355 | et al. (2014). The maximum Chla observed in the ice edge zone was | ||||
356 | extracted for each pixel for each year, yielding one map of MIZ Chla | ||||
357 | per year.\r\n\r\n__Citation:__ Barbedo L, B\u00e9langer S, Tremblay | ||||
358 | J-\u00c9. 2020. Climate control of sea-ice edge phytoplankton blooms | ||||
359 | in the Hudson Bay system. Elem Sci Anthr 8(1). doi: | ||||
360 | 10.1525/elementa.039", | ||||
361 | "format": "mat", | ||||
362 | "hash": "", | ||||
363 | "id": "203338b2-dbc3-4a8c-b04e-ea94d0131ebc", | ||||
364 | "last_modified": "2021-11-05T02:04:25.815597", | ||||
365 | "metadata_modified": "2021-11-05T02:04:25.858034", | ||||
366 | "mimetype": null, | ||||
367 | "mimetype_inner": null, | ||||
368 | "name": "Sea-ice edge phytoplankton bloom", | ||||
369 | "package_id": "49695e4c-2b6d-4144-8939-fe680eebf4c7", | ||||
370 | "position": 1, | ||||
371 | "resCategory": "data", | ||||
372 | "resource_type": null, | ||||
373 | "size": 18057663, | ||||
374 | "state": "active", | ||||
375 | "url": | ||||
376 | 0131ebc/download/elementa_barbedo_etal2020__chlaiez_tr_hudsonbay.mat", | ||||
377 | "url_type": "upload" | ||||
280 | } | 378 | } | ||
281 | ], | 379 | ], | ||
282 | "rightsIdentifier": "CC-BY-4.0", | 380 | "rightsIdentifier": "CC-BY-4.0", | ||
283 | "rightsIdentifierScheme": "SPDX", | 381 | "rightsIdentifierScheme": "SPDX", | ||
284 | "rightsURI": "https://spdx.org/licenses/CC-BY-4.0.html", | 382 | "rightsURI": "https://spdx.org/licenses/CC-BY-4.0.html", | ||
285 | "spatial": | 383 | "spatial": | ||
286 | 86],[-96.5653278917,65.7796870686],[-96.5653278917,50.281440688]]]]}", | 384 | 86],[-96.5653278917,65.7796870686],[-96.5653278917,50.281440688]]]]}", | ||
287 | "spatial_regions": "hudson-bay", | 385 | "spatial_regions": "hudson-bay", | ||
288 | "startDate": "1998-01-01", | 386 | "startDate": "1998-01-01", | ||
289 | "startDateType": "Collected", | 387 | "startDateType": "Collected", | ||
290 | "state": "draft", | 388 | "state": "draft", | ||
291 | "status": "Planned", | 389 | "status": "Planned", | ||
292 | "subjectScheme": "Polar Data Catalogue", | 390 | "subjectScheme": "Polar Data Catalogue", | ||
293 | "supplementalResources": [ | 391 | "supplementalResources": [ | ||
294 | { | 392 | { | ||
295 | "ResourceTypeGeneral": "", | 393 | "ResourceTypeGeneral": "", | ||
296 | "name": "", | 394 | "name": "", | ||
297 | "relatedIdentifierType": "", | 395 | "relatedIdentifierType": "", | ||
298 | "relationship": "", | 396 | "relationship": "", | ||
299 | "resourceType": "Online Resource", | 397 | "resourceType": "Online Resource", | ||
300 | "seriesName": "" | 398 | "seriesName": "" | ||
301 | } | 399 | } | ||
302 | ], | 400 | ], | ||
303 | "tags": [ | 401 | "tags": [ | ||
304 | { | 402 | { | ||
305 | "display_name": "Hudson Bay", | 403 | "display_name": "Hudson Bay", | ||
306 | "id": "e8708f68-d619-4444-8951-96582b048848", | 404 | "id": "e8708f68-d619-4444-8951-96582b048848", | ||
307 | "name": "Hudson Bay", | 405 | "name": "Hudson Bay", | ||
308 | "state": "active", | 406 | "state": "active", | ||
309 | "vocabulary_id": null | 407 | "vocabulary_id": null | ||
310 | }, | 408 | }, | ||
311 | { | 409 | { | ||
312 | "display_name": "Marginal ice zone", | 410 | "display_name": "Marginal ice zone", | ||
313 | "id": "cd990eec-d872-49fd-b929-1d37a3949fa8", | 411 | "id": "cd990eec-d872-49fd-b929-1d37a3949fa8", | ||
314 | "name": "Marginal ice zone", | 412 | "name": "Marginal ice zone", | ||
315 | "state": "active", | 413 | "state": "active", | ||
316 | "vocabulary_id": null | 414 | "vocabulary_id": null | ||
317 | }, | 415 | }, | ||
318 | { | 416 | { | ||
319 | "display_name": "Phytoplankton", | 417 | "display_name": "Phytoplankton", | ||
320 | "id": "0b8a2d4b-1e9b-456a-968d-7dd3e8e93298", | 418 | "id": "0b8a2d4b-1e9b-456a-968d-7dd3e8e93298", | ||
321 | "name": "Phytoplankton", | 419 | "name": "Phytoplankton", | ||
322 | "state": "active", | 420 | "state": "active", | ||
323 | "vocabulary_id": null | 421 | "vocabulary_id": null | ||
324 | }, | 422 | }, | ||
325 | { | 423 | { | ||
326 | "display_name": "Sea ice", | 424 | "display_name": "Sea ice", | ||
327 | "id": "44971f11-ef93-4a43-9900-f32da30b84f7", | 425 | "id": "44971f11-ef93-4a43-9900-f32da30b84f7", | ||
328 | "name": "Sea ice", | 426 | "name": "Sea ice", | ||
329 | "state": "active", | 427 | "state": "active", | ||
330 | "vocabulary_id": null | 428 | "vocabulary_id": null | ||
331 | } | 429 | } | ||
332 | ], | 430 | ], | ||
333 | "theme": [ | 431 | "theme": [ | ||
334 | "3707ff10-6424-4858-9ec9-7d67b38831b3", | 432 | "3707ff10-6424-4858-9ec9-7d67b38831b3", | ||
335 | "98238b1c-5be8-41ad-8c6e-74cdc4f5f369" | 433 | "98238b1c-5be8-41ad-8c6e-74cdc4f5f369" | ||
336 | ], | 434 | ], | ||
337 | "title": "Sea-ice edge phytoplankton bloom", | 435 | "title": "Sea-ice edge phytoplankton bloom", | ||
338 | "titleType": "Alternative Title", | 436 | "titleType": "Alternative Title", | ||
339 | "type": "dataset", | 437 | "type": "dataset", | ||
340 | "url": null, | 438 | "url": null, | ||
341 | "useTerms": "This project is governed by CanWIN\u2019s Terms of Use. | 439 | "useTerms": "This project is governed by CanWIN\u2019s Terms of Use. | ||
342 | You can view the full terms here | 440 | You can view the full terms here | ||
343 | manitoba.ca/wp-content/uploads/2019/10/CanWIN_DataPolicy_Nov2019.pdf). | 441 | manitoba.ca/wp-content/uploads/2019/10/CanWIN_DataPolicy_Nov2019.pdf). | ||
344 | \r\nCitation: The Data User should properly cite the Data Set in any | 442 | \r\nCitation: The Data User should properly cite the Data Set in any | ||
345 | publications or in the metadata of any derived data products that were | 443 | publications or in the metadata of any derived data products that were | ||
346 | produced using the Data Set. \r\nAcknowledgement: The Data User should | 444 | produced using the Data Set. \r\nAcknowledgement: The Data User should | ||
347 | acknowledge any institutional support or specific funding awards | 445 | acknowledge any institutional support or specific funding awards | ||
348 | referenced in the metadata accompanying this dataset in any | 446 | referenced in the metadata accompanying this dataset in any | ||
349 | publications where the Data Set contributed significantly to its | 447 | publications where the Data Set contributed significantly to its | ||
350 | content. Acknowledgements should identify the supporting party, the | 448 | content. Acknowledgements should identify the supporting party, the | ||
351 | party that received the support, and any identifying information such | 449 | party that received the support, and any identifying information such | ||
352 | as grant numbers. \r\nNotification: The Data User should notify the | 450 | as grant numbers. \r\nNotification: The Data User should notify the | ||
353 | Data Set Contact when any derivative work or publication based on or | 451 | Data Set Contact when any derivative work or publication based on or | ||
354 | derived from the Data Set is distributed. Notification will include an | 452 | derived from the Data Set is distributed. Notification will include an | ||
355 | explanation of how the Data Set was used to produce the derived work. | 453 | explanation of how the Data Set was used to produce the derived work. | ||
356 | \r\nCollaboration: The Data Set has been released in the spirit of | 454 | \r\nCollaboration: The Data Set has been released in the spirit of | ||
357 | open scientific collaboration. Data Users are thus strongly encouraged | 455 | open scientific collaboration. Data Users are thus strongly encouraged | ||
358 | to consider consultation, collaboration and/or co-authorship with the | 456 | to consider consultation, collaboration and/or co-authorship with the | ||
359 | Data Set Creator.", | 457 | Data Set Creator.", | ||
360 | "variablesMeasured": "Annual_MIZbloom, mg/m^3, | 458 | "variablesMeasured": "Annual_MIZbloom, mg/m^3, | ||
361 | Annual_SeaIce_Retreat, \tDay of the year", | 459 | Annual_SeaIce_Retreat, \tDay of the year", | ||
362 | "version": null | 460 | "version": null | ||
363 | } | 461 | } |