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updated item json
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shospital committed Dec 16, 2024
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24 changes: 24 additions & 0 deletions stac_catalog/stac_catalog/catalog.json
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{
"stac_version": "1.0.0",
"id": "NOAA PolarWatch Polar Data Catalog",
"type": "Catalog",
"description": "NOAA PolarWatch Test catalog",
"links": [
"https://polarwatch.noaa.gov",
{
"rel": "child",
"href": "nesdis_blendedsic_nhem_daily/collection.json",
"title": "X-Experimental: Sea Ice Concentration, AMSR2/VIIRS, Arctic, 1km, Blended, UW-CIMSS, 2023-present, Daily"
},
{
"rel": "child",
"href": "ncei_polarAPPX20_nhem/collection.json",
"title": "Sea Ice Thickness and Multi-variable Extended AVHRR Polar Pathfinder APP-X NCEI Climate Data Record V2, Arctic, 1982-Present, Twice Daily"
},
{
"rel": "child",
"href": "nsidcG02202v4nh1day/collection.json",
"title": "Sea Ice Concentration, NOAA/NSIDC Climate Data Record V4, Northern Hemisphere, 25km, Science Quality, 1978-Present, Daily"
}
]
}
63 changes: 63 additions & 0 deletions stac_catalog/stac_catalog/ncei_polarAPPX20_nhem/collection.json
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{
"stac_version": "1.1.0",
"id": "ncei_polarAPPX20_nhem",
"type": "Collection",
"title": "Sea Ice Thickness and Multi-variable Extended AVHRR Polar Pathfinder APP-X NCEI Climate Data Record V2, Arctic, 1982-Present, Twice Daily",
"description": "This data archive contains quality controlled data from BGC-Argo floats deployed by the Southern Ocean Carbon and Climate Observation and Modeling (SOCCOM) and Global Ocean Biogeochemistry Array (GO-BGC) projects. Data for all floats within this archive were processed by the float data management team at the Monterey Bay Aquarium Research Institute (MBARI). This dataset contains the latest available snapshot archive. Each snapshot archive is assigned a unique DOI, and is hosted on the SOCCOM UCSD library digital collection. All snapshot archives of this dataset are available through the full GO-BGC and SOCCOM joint UCSD library digital collection at https://library.ucsd.edu/dc/collection/bb0488375t. See the DOI and history attibutes for specific references for this snapshot. Float specific metadata, as well as raw and QC files from the near-real time dataset are available at https://www3.mbari.org/lobo/Data/FloatVizData/ (navigate to the /QC/ subfolder for quality controlled files). BGCArgo formatted netCDF files for the SOCCOM array are also available on the Argo GDAC (https://usgodae.org/pub/outgoing/argo/dac/aoml/). NOTE: While delayed-mode quality control (and data adjustments based on comparisons to reference fields) is assessed across the array prior to the generation of each snapshot archive, all data is PROVIDED AS-IS. Be aware that INACCURACIES MAY BE PRESENT within the data. SOCCOM data managers do their best to provide high-quality, complete data but make no guarantees as to the presence of errors within the data itself or the algorithms used in the generation of derived carbon parameters. It is the USER'S RESPONSIBILITY to ensure that the data meets the user's needs. ",
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"temporal": {
"interval": [
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null
]
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}
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"links": [
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"rel": "self",
"href": "stac_catalog/ncei_polarAPPX20_nhem/collection.json"
},
{
"rel": "root",
"href": "stac_catalog/catalog.json"
},
{
"rel": "data",
"href": "https://polarwatch.noaa.gov/erddap/info/ncei_polarAPPX20_nhem/index.html",
"type": "text/html"
}
],
"license": "CC-BY-1.0",
"keywords": [
"EARTH SCIENCE",
"CRYOSPHERE",
"SEA ICE",
"SEA ICE CONCENTRATION",
"EARTH SCIENCE",
"BLENDED PRODUCT",
"AMSR2",
"VIIRS"
],
"providers": [
{
"name": "NOAA/NMFS/SWFSC/ERD and NOAA/NESDIS/CoastWatch West Coast Node",
"roles": [
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"url": "stratus.ssec.wisc.edu"
}
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"proj:code": "EPSG:3408"
}
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{
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"stac_version": "1.0.0",
"description": "This is a Blended Sea Ice Concentration product that combines clear-sky Visible and Infrared Imager/Radiometer Suite (VIIRS) ice concentration from NOAA-20 with that comes from the AMSR2 NASA Team-2 10 km product. The output is remapped into 1-km EASE2 grid cells with a nominal resolution of at least 5-km. The NDE cloud mask is used to screen out cloudy VIIRS pixels. When the cloud mask for a data point is determined to be confidently clear, the output concentration in the blended product is 100% VIIRS. Otherwise, the Best Linear Unbiased Estimator equation is used to determine the output concentration (see https://www.sciencedirect.com/topics/mathematics/linear-unbiased-estimator#:~:text=Under%20assumptions%20V%20and%20VI,(Gauss%E2%80%93Markov%20theorem for more information on method).",
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"title": "X-Experimental: Sea Ice Concentration, AMSR2/VIIRS, Arctic, 1km, Blended, UW-CIMSS, 2023-present, Daily"
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"proj:code": "EPSG:6931",
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"title": "X-Experimental: Sea Ice Concentration, AMSR2/VIIRS, Arctic, 1km, Blended, UW-CIMSS, 2023-present, Daily",
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{
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{
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{
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