| A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Timestamp | Email Address | Name | Type of resource? | Arctic region? e.g., Yukon River Delta (Alaska) | Relevant domain(s) (select all that apply) | Data set name, brief description, website/contact for more information? | Data platform(s) (select all that apply) | Parameter types (select all that apply) | Temporal span (e.g., 2015-present) | Temporal resolution (e.g., continuous, hourly, daily, weekly, monthly, annual, etc.) | Field campaign name, brief description, website/contact for more information? | Observing network name, brief description, website/contact for more information? | Model name, brief description, website/contact for more information? | Anything else you'd like to share? | ||||||
2 | 11/4/2021 9:53:01 | Liqing.Jiang@noaa.gov | Liqing Jiang | Data set | Gulf of Alaska, Chukchi Sea, and Beaufort Sea | Coastal ocean | CODAP-NA, https://doi.org/10.5194/essd-13-2777-2021 | ship | Physical (T, S, ADCP, river gauge, etc.), Biogeochemical (carbon, nutrients, dissolved oxygen, etc.) | 2003 to 2018 | Discrete bottle measurements | Multiple | |||||||||
3 | 11/4/2021 13:00:26 | emmanuel.boss@maine.edu | Emmanuel Boss | Field campaign or process study | Circumpolar Arctic | Coastal ocean | Tara Polar Circle - Data on Seabass and Pangaea | ship | Physical (T, S, ADCP, river gauge, etc.), Biogeochemical (carbon, nutrients, dissolved oxygen, etc.), Biological (biooptical, biomass, biological rates, etc.) | May-October, 2013 | Some optics (inline) continuous, some every few days (stations) | Tara Polar Circle (part of Tara Ocean). https://fondationtaraocean.org/en/expedition/tara-oceans/ | All the inline optical data is on SeaBASS. CDOM analyzed in Matsuoka et al., 2017 which developed a remote sensing model for DOC and CDOM for the Arctic. | ||||||||
4 | 11/9/2021 10:40:56 | jimm@utexas.edu | Jim McClelland | Data sets and field campaign are both relevant | Alaska Beaufort Sea Coast | Permafrost, Land-bound ice, Sea ice, Riverine & delta, Coastal ocean, Sedimentary | Beaufort Lagoon Ecosystems LTER data catalog; https://ble.lternet.edu/catalog | mooring, shore-based | Physical (T, S, ADCP, river gauge, etc.), Biogeochemical (carbon, nutrients, dissolved oxygen, etc.), Biological (biooptical, biomass, biological rates, etc.) | 2018-present | continuous to seasonal depending on specific measurement type | Field trips in April, June, and August annually; https://ble.lternet.edu/ | Part of national NSF LTER network (https://lternet.edu/), contribution to NSF AON | ||||||||
5 | 11/9/2021 10:52:44 | nic_analyst@noaa.gov | Sofia Montalvo | Data set | Pan-Arctic | Sea ice | Daily ArcticMarginal Ice Zone (MIZ) shapefile, usicecenter.gov | satellite, Analysis of imagery from multiple satellites | Ice concentration (CT) | December 2004 - present | Daily | Arctic MIZ Shapefile is online by 1800 UTC daily. https://usicecenter.gov/Products/ArchiveSearchMulti?table=DailyArcticShapefiles&linkChange=arc-two | |||||||||
6 | 11/9/2021 10:59:13 | nic_analyst@noaa.gov | Sofia Montalvo | Data set | Pan-Arctic | Land-bound ice, Sea ice | Weekly Arctic Shapefile, https://usicecenter.gov/Products/ArchiveSearch?table=WeeklyArctic&product=Arctic%20Weekly%20Shapefile&linkChange=arc-two | satellite, Analysis of multiple satellite imagery sources | Ice concentration (CT), Ice types/Stage of Development (SD), Floe size | January 2003 - present | Weekly | Weekly Arctic shapefiles are available Thursday afternoons to Fridays weekly. https://usicecenter.gov/Products/ArcticData | |||||||||
7 | 11/9/2021 11:11:23 | nic_analyst@noaa.gov | Sofia Montalvo | Data set | Pan-Arctic, Northern Hemisphere, North America | Sea ice, Snow cover | IMS, A compressed ASC file that contains Northern Hemisphere snow and ice information based on daily IMS analysis. There are 3 files produced based on data resolution: 1KM, 4KM, and 24KM, Compressed GRIB files that contains Northern Hemisphere snow, ice, and time information based on daily IMS analysis. There are multiple files produced based on information type and data resolution: Snow 1KM and 4KM, Ice 1KM and 4KM, Time 1KM., A compressed GeoTIFF file that contains Northern Hemisphere snow and information in a raster format that is based on daily IMS analysis. There are 2 files produced based on data resolution: 1KM and 4KM. https://usicecenter.gov/Products/ImsData | satellite, Interactive Multisensor Snow and Ice Mapping System (IMS) | 2014- Present | Daily - twice daily | Product Area Lead contact: walter.clark@noaa.gov Snow cover in North America and Sea ice cover around North America is updated to the Telecommunications Gateway twice a day by 1800 UTC and 0000 UTC. | ||||||||||
8 | 11/30/2021 14:37:03 | elizabeth.hoy@nasa.gov | Elizabeth Hoy | Field campaign or process study | Throughout the ABoVE Domain (Alaska and Western Canada). This area includes the Yukon-Kuskokwim Delta area, Yukon Flats, Utqiagvik area, and Mackenzie Delta area (among others) | Permafrost, Riverine & delta | There are many airborne datasets available through the ABoVE campaign. A summary of available datasets and the locations to access these datasets is available here: https://above.nasa.gov/airborne_2017.html#data. Here are some of the airborne datasets that might be most relevant to Arctic-COLORS: airborne L-band UAVSAR from 2017, 2018, 2019 (https://asf.alaska.edu/data-sets/sar-data-sets/uavsar/); Airborne P-band SAR from 2017 (https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1800) and some earlier dates through the AirMOSS campaign (https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1678); LVIS lidar data from 2017 and 2019 (https://nsidc.org/data/lvis/data-summaries); AirSWOT imagery from 2017 a (https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1646 - this is one of 4 available AirSWOT datasets); AVIRIS-NG hyperspectal imagery from 2017, 2018, and 2019 (https://avirisng.jpl.nasa.gov/dataportal/). | airborne | Biogeochemical (carbon, nutrients, dissolved oxygen, etc.), Biological (biooptical, biomass, biological rates, etc.) | 2017-2019, additional measurements planned for 2021 | annual in some cases, single measurement in others | ABoVE (Arctic-Boreal Vulnerability Experiment). ABoVE is a large-scale study of environmental change and its implications for social-ecological systems. Website: https://above.nasa.gov/. Contact Peter Griffith or Liz Hoy for more information on datasets. | |||||||||
9 | 11/30/2021 15:02:37 | elizabeth.hoy@nasa.gov | Elizabeth Hoy | Field campaign or process study | Throughout the ABoVE Domain (Alaska and Western Canada). This area includes the Yukon-Kuskokwim Delta area, Yukon Flats, Utqiagvik area, and Mackenzie Delta area (among others) | Permafrost, Riverine & delta | Many ABoVE datasets are available for the area of Alaska and Western Canada that might be of interest to Arctic-COLORS. These datasets are archived at the ORNL DAAC. There are 138 datasets available, 31 of which are related to hydrology and permafrost. All field datasets can be viewed here: https://daac.ornl.gov/cgi-bin/dataset_lister.pl?p=34. | satellite, field based, modeling | Physical (T, S, ADCP, river gauge, etc.), Biogeochemical (carbon, nutrients, dissolved oxygen, etc.), Biological (biooptical, biomass, biological rates, etc.) | various dates | various range | ABoVE (Arctic-Boreal Vulnerability Experiment). ABoVE is a large-scale study of environmental change and its implications for social-ecological systems. Website: https://above.nasa.gov/. Contact Peter Griffith or Liz Hoy for more information on datasets. | |||||||||
10 | |||||||||||||||||||||
11 | |||||||||||||||||||||
12 | |||||||||||||||||||||
13 | |||||||||||||||||||||
14 | |||||||||||||||||||||
15 | |||||||||||||||||||||
16 | |||||||||||||||||||||
17 | |||||||||||||||||||||
18 | |||||||||||||||||||||
19 | |||||||||||||||||||||
20 | |||||||||||||||||||||
21 | |||||||||||||||||||||
22 | |||||||||||||||||||||
23 | |||||||||||||||||||||
24 | |||||||||||||||||||||
25 | |||||||||||||||||||||
26 | |||||||||||||||||||||
27 | |||||||||||||||||||||
28 | |||||||||||||||||||||
29 | |||||||||||||||||||||
30 | |||||||||||||||||||||
31 | |||||||||||||||||||||
32 | |||||||||||||||||||||
33 | |||||||||||||||||||||
34 | |||||||||||||||||||||
35 | |||||||||||||||||||||
36 | |||||||||||||||||||||
37 | |||||||||||||||||||||
38 | |||||||||||||||||||||
39 | |||||||||||||||||||||
40 | |||||||||||||||||||||
41 | |||||||||||||||||||||
42 | |||||||||||||||||||||
43 | |||||||||||||||||||||
44 | |||||||||||||||||||||
45 | |||||||||||||||||||||
46 | |||||||||||||||||||||
47 | |||||||||||||||||||||
48 | |||||||||||||||||||||
49 | |||||||||||||||||||||
50 | |||||||||||||||||||||
51 | |||||||||||||||||||||
52 | |||||||||||||||||||||
53 | |||||||||||||||||||||
54 | |||||||||||||||||||||
55 | |||||||||||||||||||||
56 | |||||||||||||||||||||
57 | |||||||||||||||||||||
58 | |||||||||||||||||||||
59 | |||||||||||||||||||||
60 | |||||||||||||||||||||
61 | |||||||||||||||||||||
62 | |||||||||||||||||||||
63 | |||||||||||||||||||||
64 | |||||||||||||||||||||
65 | |||||||||||||||||||||
66 | |||||||||||||||||||||
67 | |||||||||||||||||||||
68 | |||||||||||||||||||||
69 | |||||||||||||||||||||
70 | |||||||||||||||||||||
71 | |||||||||||||||||||||
72 | |||||||||||||||||||||
73 | |||||||||||||||||||||
74 | |||||||||||||||||||||
75 | |||||||||||||||||||||
76 | |||||||||||||||||||||
77 | |||||||||||||||||||||
78 | |||||||||||||||||||||
79 | |||||||||||||||||||||
80 | |||||||||||||||||||||
81 | |||||||||||||||||||||
82 | |||||||||||||||||||||
83 | |||||||||||||||||||||
84 | |||||||||||||||||||||
85 | |||||||||||||||||||||
86 | |||||||||||||||||||||
87 | |||||||||||||||||||||
88 | |||||||||||||||||||||
89 | |||||||||||||||||||||
90 | |||||||||||||||||||||
91 | |||||||||||||||||||||
92 | |||||||||||||||||||||
93 | |||||||||||||||||||||
94 | |||||||||||||||||||||
95 | |||||||||||||||||||||
96 | |||||||||||||||||||||
97 | |||||||||||||||||||||
98 | |||||||||||||||||||||
99 | |||||||||||||||||||||
100 |