Changes
On April 4, 2022 at 12:37:52 PM CDT, Claire Herbert:
-
Updated description of GL_LWH_M from
Mooring deployed on Lake Waterhen since 2012
toSince 2012, three in-lake moorings have been placed during the open water season in Lakes Winnipegosis, Waterhen and Manitoba in order to collect high frequency data. An ecotriplet collects turbidity, chlorophyll, fluorescence and phycocyanin data, while an Alec CT collects temperature and conductivity data at 10 minute intervals. In 2019 an oxygen sensor was added. The sites were sampled once per month for more detailed water chemistry, using a surface grab method and a plastic Nalgene bottle. Visual information on wind speed, direction, wave height and cloud cover was also recorded.
-
Changed value of field
related_campaigns
to["a9cc3947-2764-4a18-87ec-5f4466eb084d", "c0783b7c-3693-4130-95c7-079a9c9585d8"]
in GL_LWH_M -
Changed value of field
related_instruments
to["96757fdb-9840-4373-aea1-50334f060ec7", "0762c466-c636-407d-9b7d-072ec41de02d", "77e89bdc-8896-4ce7-a2d7-d5e1a57196f5", "3402d545-1cfb-40d7-b7dc-35754406743c", "0fe8c499-a220-4d39-9fad-6bc25930e5cf"]
in GL_LWH_M -
Changed value of field
related_datasets
to[]
in GL_LWH_M -
Changed value of field
related_deployments
to["ca60b41b-0f93-4e86-b89f-f51a5132ebbb", "63dd1e22-f0e2-49d0-a05b-e4ac2161a0eb", "6d1948d4-c859-4764-919b-4e3d870bb790", "e311c811-e54b-44db-a23f-ef79daa9ad18"]
in GL_LWH_M
f | 1 | { | f | 1 | { |
2 | "author": null, | 2 | "author": null, | ||
3 | "author_email": null, | 3 | "author_email": null, | ||
4 | "creator_user_id": "c3ad971e-75e0-4e57-b825-8ed25f306937", | 4 | "creator_user_id": "c3ad971e-75e0-4e57-b825-8ed25f306937", | ||
5 | "groups": [], | 5 | "groups": [], | ||
6 | "id": "061d70f6-dbe0-4736-9e23-89637a9535c2", | 6 | "id": "061d70f6-dbe0-4736-9e23-89637a9535c2", | ||
7 | "isopen": false, | 7 | "isopen": false, | ||
8 | "license_id": null, | 8 | "license_id": null, | ||
9 | "license_title": null, | 9 | "license_title": null, | ||
10 | "maintainer": null, | 10 | "maintainer": null, | ||
11 | "maintainer_email": null, | 11 | "maintainer_email": null, | ||
12 | "metadata_created": "2021-09-29T19:41:43.884683", | 12 | "metadata_created": "2021-09-29T19:41:43.884683", | ||
n | 13 | "metadata_modified": "2021-09-29T20:22:28.251994", | n | 13 | "metadata_modified": "2022-04-04T17:37:52.095536", |
14 | "name": "gl_lwh_m2", | 14 | "name": "gl_lwh_m2", | ||
n | 15 | "notes": "Mooring deployed on Lake Waterhen since 2012", | n | 15 | "notes": "Since 2012, three in-lake moorings have been placed during |
16 | the open water season in Lakes Winnipegosis, Waterhen and Manitoba in | ||||
17 | order to collect high frequency data. An ecotriplet collects | ||||
18 | turbidity, chlorophyll, fluorescence and phycocyanin data, while an | ||||
19 | Alec CT collects temperature and conductivity data at 10 minute | ||||
20 | intervals. In 2019 an oxygen sensor was added. The sites were sampled | ||||
21 | once per month for more detailed water chemistry, using a surface grab | ||||
22 | method and a plastic Nalgene bottle. Visual information on wind speed, | ||||
23 | direction, wave height and cloud cover was also recorded.", | ||||
16 | "num_resources": 0, | 24 | "num_resources": 0, | ||
17 | "num_tags": 0, | 25 | "num_tags": 0, | ||
18 | "organization": { | 26 | "organization": { | ||
19 | "approval_status": "approved", | 27 | "approval_status": "approved", | ||
20 | "created": "2017-07-21T13:15:49.935872", | 28 | "created": "2017-07-21T13:15:49.935872", | ||
21 | "description": "The Centre for Earth Observation Science (CEOS) | 29 | "description": "The Centre for Earth Observation Science (CEOS) | ||
22 | was established in 1994 with a mandate to research, preserve and | 30 | was established in 1994 with a mandate to research, preserve and | ||
23 | communicate knowledge of Earth system processes using the technologies | 31 | communicate knowledge of Earth system processes using the technologies | ||
24 | of Earth Observation Science. Research is multidisciplinary and | 32 | of Earth Observation Science. Research is multidisciplinary and | ||
25 | collaborative seeking to understand the complex interrelationships | 33 | collaborative seeking to understand the complex interrelationships | ||
26 | between elements of Earth systems, and how these systems will likely | 34 | between elements of Earth systems, and how these systems will likely | ||
27 | respond to climate change. Although researchers have worked in many | 35 | respond to climate change. Although researchers have worked in many | ||
28 | regions, the Arctic marine system has always been a unifying focus of | 36 | regions, the Arctic marine system has always been a unifying focus of | ||
29 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | 37 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | ||
30 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | 38 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | ||
31 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | 39 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | ||
32 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | 40 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | ||
33 | existing research activity are divided among key themes:\r\n\r\nArctic | 41 | existing research activity are divided among key themes:\r\n\r\nArctic | ||
34 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | 42 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | ||
35 | preservation, archaeo-geophysics, permafrost degredation, lithic | 43 | preservation, archaeo-geophysics, permafrost degredation, lithic | ||
36 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | 44 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | ||
37 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | 45 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | ||
38 | ethnographic analogy, traditional knowledge, climate change and | 46 | ethnographic analogy, traditional knowledge, climate change and | ||
39 | northern heritage resource management.\r\n\r\nAtmospheric | 47 | northern heritage resource management.\r\n\r\nAtmospheric | ||
40 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | 48 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | ||
41 | extreme weather, circulation, eddy correlations, polar vortex, | 49 | extreme weather, circulation, eddy correlations, polar vortex, | ||
42 | climate, teleconnections, geophysical fluid dynamics, flux and energy | 50 | climate, teleconnections, geophysical fluid dynamics, flux and energy | ||
43 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | 51 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | ||
44 | albedo feedback, cloud radiative forcing, pCO2. | 52 | albedo feedback, cloud radiative forcing, pCO2. | ||
45 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | 53 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | ||
46 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | 54 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | ||
47 | metals, minerals, hydrocarbons, brine processes, otolith | 55 | metals, minerals, hydrocarbons, brine processes, otolith | ||
48 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | 56 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | ||
49 | trace metals, PAHs, source, transport, transformation, pathways, | 57 | trace metals, PAHs, source, transport, transformation, pathways, | ||
50 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | 58 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | ||
51 | Observation Science: Active and passive microwave, LiDAR, EM | 59 | Observation Science: Active and passive microwave, LiDAR, EM | ||
52 | induction, spatial-temporal analysis, forward and inverse scattering | 60 | induction, spatial-temporal analysis, forward and inverse scattering | ||
53 | models, complex permittivity, ocean colour, ocean surface roughness, | 61 | models, complex permittivity, ocean colour, ocean surface roughness, | ||
54 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | 62 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | ||
55 | Biophysical processes, primary production; ice algae, ice | 63 | Biophysical processes, primary production; ice algae, ice | ||
56 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | 64 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | ||
57 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | 65 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | ||
58 | transport, nutrient transport, contaminants, landscape processes, | 66 | transport, nutrient transport, contaminants, landscape processes, | ||
59 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | 67 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | ||
60 | whales, habitat, conservation, satellite telemetry, distribution, | 68 | whales, habitat, conservation, satellite telemetry, distribution, | ||
61 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | 69 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | ||
62 | Simulation of sea ice and oceanic regional processes, Nucleus for | 70 | Simulation of sea ice and oceanic regional processes, Nucleus for | ||
63 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | 71 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | ||
64 | interactions, hind cast simulations and projections for sea ice state | 72 | interactions, hind cast simulations and projections for sea ice state | ||
65 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | 73 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | ||
66 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | 74 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | ||
67 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | 75 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | ||
68 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | 76 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | ||
69 | processes, extreme ice features and hazards, snow, ridges, | 77 | processes, extreme ice features and hazards, snow, ridges, | ||
70 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | 78 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | ||
71 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | 79 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | ||
72 | hunting, food security, sea ice use, community-based research, | 80 | hunting, food security, sea ice use, community-based research, | ||
73 | community-based monitoring, two ways of knowing.", | 81 | community-based monitoring, two ways of knowing.", | ||
74 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 82 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
n | 75 | "image_url": "2017-11-21-151022.363970CEOSCMYK.jpg", | n | 83 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", |
76 | "is_organization": true, | 84 | "is_organization": true, | ||
77 | "name": "ceos2", | 85 | "name": "ceos2", | ||
78 | "state": "active", | 86 | "state": "active", | ||
79 | "title": "CEOS", | 87 | "title": "CEOS", | ||
80 | "type": "organization" | 88 | "type": "organization" | ||
81 | }, | 89 | }, | ||
82 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 90 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
83 | "platformType": "mooring", | 91 | "platformType": "mooring", | ||
84 | "private": false, | 92 | "private": false, | ||
85 | "projectImage": | 93 | "projectImage": | ||
86 | itoba.ca/wp-content/uploads/2020/02/claire_resize-e1632944180703.jpg", | 94 | itoba.ca/wp-content/uploads/2020/02/claire_resize-e1632944180703.jpg", | ||
t | t | 95 | "related_campaigns": "[\"a9cc3947-2764-4a18-87ec-5f4466eb084d\", | ||
87 | "related_campaigns": "[\"c0783b7c-3693-4130-95c7-079a9c9585d8\"]", | 96 | \"c0783b7c-3693-4130-95c7-079a9c9585d8\"]", | ||
88 | "related_datasets": "[\"22241ebc-088b-4a4b-9111-082821f26e21\"]", | ||||
89 | "related_deployments": "[]", | 97 | "related_datasets": "[]", | ||
90 | "related_instruments": "[\"e9413818-ce0a-4cc6-98b1-98cec95d82e5\"]", | 98 | "related_deployments": "[\"ca60b41b-0f93-4e86-b89f-f51a5132ebbb\", | ||
99 | \"63dd1e22-f0e2-49d0-a05b-e4ac2161a0eb\", | ||||
100 | \"6d1948d4-c859-4764-919b-4e3d870bb790\", | ||||
101 | \"e311c811-e54b-44db-a23f-ef79daa9ad18\"]", | ||||
102 | "related_instruments": "[\"96757fdb-9840-4373-aea1-50334f060ec7\", | ||||
103 | \"0762c466-c636-407d-9b7d-072ec41de02d\", | ||||
104 | \"77e89bdc-8896-4ce7-a2d7-d5e1a57196f5\", | ||||
105 | \"3402d545-1cfb-40d7-b7dc-35754406743c\", | ||||
106 | \"0fe8c499-a220-4d39-9fad-6bc25930e5cf\"]", | ||||
91 | "relationships_as_object": [], | 107 | "relationships_as_object": [], | ||
92 | "relationships_as_subject": [], | 108 | "relationships_as_subject": [], | ||
93 | "resources": [], | 109 | "resources": [], | ||
94 | "state": "active", | 110 | "state": "active", | ||
95 | "tags": [], | 111 | "tags": [], | ||
96 | "title": "GL_LWH_M", | 112 | "title": "GL_LWH_M", | ||
97 | "type": "platform", | 113 | "type": "platform", | ||
98 | "url": null, | 114 | "url": null, | ||
99 | "version": null | 115 | "version": null | ||
100 | } | 116 | } |