{"dp_type": "Dataset", "free_text": "Antarctic coastal polynyas"}
[{"awards": "2021245 Li, Yun; 1643735 Li, Yun", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -61.8,180 -63.6,180 -65.4,180 -67.2,180 -69,180 -70.8,180 -72.6,180 -74.4,180 -76.2,180 -78,144 -78,108 -78,72 -78,36 -78,0 -78,-36 -78,-72 -78,-108 -78,-144 -78,-180 -78,-180 -76.2,-180 -74.4,-180 -72.6,-180 -70.8,-180 -69,-180 -67.2,-180 -65.4,-180 -63.6,-180 -61.8,-180 -60))"], "date_created": "Mon, 12 Dec 2022 00:00:00 GMT", "description": "Coastal Antarctic polynyas are regions with concentrated phytoplankton blooms, and therefore have important implications for marine ecosystems and the associated carbon cycles. Seasonal water-column stratification, regulated by sea ice, can modulate the exposure of phytoplankton to light and nutrients, and is one of the most important factors that control the duration and strength of algal blooms. Polynyas differ greatly in their stratification, thus are not equally productive in terms of phytoplankton biomass, nor equally vulnerable to the changes in regional climate. To date, most studies have been focusing on individual polynyas, yet a systematic assessment of stratification patterns across polynyas is still lacking. Therefore, we examined the spatial and seasonal variability of stratification in circum-Antarctic coastal polynyas. Using \u003e105 in situ hydrographic casts combined from the World Ocean Database (1970-2021) and the Marine Mammals Exploring the Oceans Pole to Pole Consortium Database (2004-2017), we constructed stratification seasonal climatology using 0-100 m Simpson Energy. Our results showed that stratification magnitude varies by a factor of 6 and its onset time displays 1-2 months difference across all the polynyas. In the presence of warmer water at depths, polynyas tend to develop stronger stratification than others. The spatial variations of stratification are negatively related to sea ice retreat rate and polynya size, indicative of distinct dynamics resulted from the interaction of sea ice melting, advection and water-column mixing.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctic; Antarctica; Antarctic Coastal Polynyas; Polynya", "locations": "Antarctic; Antarctica; Antarctic Coastal Polynyas", "north": -60.0, "nsf_funding_programs": "Antarctic Integrated System Science", "persons": "Li, Yun; Shunk, Nathan; Zhang, Weifeng", "project_titles": "Collaborative Research: Polynyas in Coastal Antarctica (PICA): Linking Physical Dynamics to Biological Variability", "projects": [{"proj_uid": "p0010044", "repository": "USAP-DC", "title": "Collaborative Research: Polynyas in Coastal Antarctica (PICA): Linking Physical Dynamics to Biological Variability"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -78.0, "title": "Monthly Stratification Climatology (1978-2021) in Antarctic Coastal Polynyas", "uid": "601628", "west": -180.0}, {"awards": "1341558 Ji, Rubao", "bounds_geometry": ["POLYGON((-180 -45,-144 -45,-108 -45,-72 -45,-36 -45,0 -45,36 -45,72 -45,108 -45,144 -45,180 -45,180 -48.4,180 -51.8,180 -55.2,180 -58.6,180 -62,180 -65.4,180 -68.8,180 -72.2,180 -75.6,180 -79,144 -79,108 -79,72 -79,36 -79,0 -79,-36 -79,-72 -79,-108 -79,-144 -79,-180 -79,-180 -75.6,-180 -72.2,-180 -68.8,-180 -65.4,-180 -62,-180 -58.6,-180 -55.2,-180 -51.8,-180 -48.4,-180 -45))"], "date_created": "Tue, 22 Oct 2019 00:00:00 GMT", "description": "The dataset includes 1) sea ice concentrations in Antarctic coastal polynyas (1979-2015) and seasonal ice zones (1978-2019); 2) chlorophyll concentrations in Antarctic coastal polynyas (1997-2015) and seasonal ice zones (1997-2019). The sea ice dataset is a tailored product after processing a global-scale sea ice data product managed by National Snow and Ice Data Center. The chlorophyll dataset is a tailored product after processing a global-scale ocean color dataset produced by GLOBCOLOUR, the European Service for Ocean Colour ", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Biota; Chlorophyll; Chlorophyll Concentration; Oceans; Polynya; Sea Ice Concentration; Seasonal Ice Zone; Southern Ocean", "locations": "Southern Ocean; Antarctica", "north": -45.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "persons": "Ji, Rubao", "project_titles": "Collaborative Research: Phytoplankton Phenology in the Antarctic: Drivers, Patterns, and Implications for the Adelie Penguin", "projects": [{"proj_uid": "p0000001", "repository": "USAP-DC", "title": "Collaborative Research: Phytoplankton Phenology in the Antarctic: Drivers, Patterns, and Implications for the Adelie Penguin"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -79.0, "title": "Sea ice and chlorophyll concentrations in Antarctic coastal polynyas and seasonal ice zones", "uid": "601219", "west": -180.0}]
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Dataset Title/Abstract/Map | NSF Award(s) | Date Created | PIs / Scientists | Project Links | Abstract | Bounds Geometry | Geometry | Selected | Visible |
---|---|---|---|---|---|---|---|---|---|
Monthly Stratification Climatology (1978-2021) in Antarctic Coastal Polynyas
|
2021245 1643735 |
2022-12-12 | Li, Yun; Shunk, Nathan; Zhang, Weifeng |
Collaborative Research: Polynyas in Coastal Antarctica (PICA): Linking Physical Dynamics to Biological Variability |
Coastal Antarctic polynyas are regions with concentrated phytoplankton blooms, and therefore have important implications for marine ecosystems and the associated carbon cycles. Seasonal water-column stratification, regulated by sea ice, can modulate the exposure of phytoplankton to light and nutrients, and is one of the most important factors that control the duration and strength of algal blooms. Polynyas differ greatly in their stratification, thus are not equally productive in terms of phytoplankton biomass, nor equally vulnerable to the changes in regional climate. To date, most studies have been focusing on individual polynyas, yet a systematic assessment of stratification patterns across polynyas is still lacking. Therefore, we examined the spatial and seasonal variability of stratification in circum-Antarctic coastal polynyas. Using >105 in situ hydrographic casts combined from the World Ocean Database (1970-2021) and the Marine Mammals Exploring the Oceans Pole to Pole Consortium Database (2004-2017), we constructed stratification seasonal climatology using 0-100 m Simpson Energy. Our results showed that stratification magnitude varies by a factor of 6 and its onset time displays 1-2 months difference across all the polynyas. In the presence of warmer water at depths, polynyas tend to develop stronger stratification than others. The spatial variations of stratification are negatively related to sea ice retreat rate and polynya size, indicative of distinct dynamics resulted from the interaction of sea ice melting, advection and water-column mixing. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -61.8,180 -63.6,180 -65.4,180 -67.2,180 -69,180 -70.8,180 -72.6,180 -74.4,180 -76.2,180 -78,144 -78,108 -78,72 -78,36 -78,0 -78,-36 -78,-72 -78,-108 -78,-144 -78,-180 -78,-180 -76.2,-180 -74.4,-180 -72.6,-180 -70.8,-180 -69,-180 -67.2,-180 -65.4,-180 -63.6,-180 -61.8,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Sea ice and chlorophyll concentrations in Antarctic coastal polynyas and seasonal ice zones
|
1341558 |
2019-10-22 | Ji, Rubao |
Collaborative Research: Phytoplankton Phenology in the Antarctic: Drivers, Patterns, and Implications for the Adelie Penguin |
The dataset includes 1) sea ice concentrations in Antarctic coastal polynyas (1979-2015) and seasonal ice zones (1978-2019); 2) chlorophyll concentrations in Antarctic coastal polynyas (1997-2015) and seasonal ice zones (1997-2019). The sea ice dataset is a tailored product after processing a global-scale sea ice data product managed by National Snow and Ice Data Center. The chlorophyll dataset is a tailored product after processing a global-scale ocean color dataset produced by GLOBCOLOUR, the European Service for Ocean Colour | ["POLYGON((-180 -45,-144 -45,-108 -45,-72 -45,-36 -45,0 -45,36 -45,72 -45,108 -45,144 -45,180 -45,180 -48.4,180 -51.8,180 -55.2,180 -58.6,180 -62,180 -65.4,180 -68.8,180 -72.2,180 -75.6,180 -79,144 -79,108 -79,72 -79,36 -79,0 -79,-36 -79,-72 -79,-108 -79,-144 -79,-180 -79,-180 -75.6,-180 -72.2,-180 -68.8,-180 -65.4,-180 -62,-180 -58.6,-180 -55.2,-180 -51.8,-180 -48.4,-180 -45))"] | ["POINT(0 -89.999)"] | false | false |