USAP-DC

{"dp_type": "Dataset", "free_text": "Ice Concentration"}

[{"awards": "1744584 Klein, Andrew", "bounds_geometry": ["POLYGON((-78 -60,-74.6 -60,-71.2 -60,-67.8 -60,-64.4 -60,-61 -60,-57.6 -60,-54.2 -60,-50.8 -60,-47.400000000000006 -60,-44 -60,-44 -61.3,-44 -62.6,-44 -63.9,-44 -65.2,-44 -66.5,-44 -67.8,-44 -69.1,-44 -70.4,-44 -71.7,-44 -73,-47.4 -73,-50.8 -73,-54.2 -73,-57.6 -73,-61 -73,-64.4 -73,-67.8 -73,-71.2 -73,-74.6 -73,-78 -73,-78 -71.7,-78 -70.4,-78 -69.1,-78 -67.8,-78 -66.5,-78 -65.2,-78 -63.9,-78 -62.6,-78 -61.3,-78 -60))"], "date_created": "Thu, 05 Jan 2023 00:00:00 GMT", "description": "This dataset comprises a series of geotiff files containing mean annual or summer (October-February) gridded sea ice concentrations for five-year periods developed from available Sea Ice Concentration Datasets (AMSR2, the Sea Ice Index, and National Ice Center Charts). The grids encompass a portion of the Western Antarctic Peninsula. This dataset was developed in support of projects ANT-1744550, -1744570, -1744584, and -1744602.", "east": -44.0, "geometry": ["POINT(-61 -66.5)"], "keywords": "Antarctica; Antarctic Peninsula; LMG1904; National Ice Center Charts; Sea Ice Concentration", "locations": "Antarctica; Antarctic Peninsula; Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "persons": "Klein, Andrew", "project_titles": "Collaborative Research: Sea ice as a driver of Antarctic benthic macroalgal community composition and nearshore trophic connectivity", "projects": [{"proj_uid": "p0010104", "repository": "USAP-DC", "title": "Collaborative Research: Sea ice as a driver of Antarctic benthic macroalgal community composition and nearshore trophic connectivity"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -73.0, "title": "Five year mean annual and summer sea ice concentration grids for the Western Antarctic Peninsula from AMSR2, National Ice Center Charts and the Sea Ice Index ", "uid": "601649", "west": -78.0}, {"awards": "1744584 Klein, Andrew", "bounds_geometry": ["POLYGON((-78 -60,-74.6 -60,-71.2 -60,-67.8 -60,-64.4 -60,-61 -60,-57.6 -60,-54.2 -60,-50.8 -60,-47.400000000000006 -60,-44 -60,-44 -61.3,-44 -62.6,-44 -63.9,-44 -65.2,-44 -66.5,-44 -67.8,-44 -69.1,-44 -70.4,-44 -71.7,-44 -73,-47.4 -73,-50.8 -73,-54.2 -73,-57.6 -73,-61 -73,-64.4 -73,-67.8 -73,-71.2 -73,-74.6 -73,-78 -73,-78 -71.7,-78 -70.4,-78 -69.1,-78 -67.8,-78 -66.5,-78 -65.2,-78 -63.9,-78 -62.6,-78 -61.3,-78 -60))"], "date_created": "Thu, 29 Dec 2022 00:00:00 GMT", "description": "This dataset contains gridded sea ice concentrations developed from vector GIS National Ice Center (NIC) Charts for a portion of the western Antarctic Peninsula. This dataset was developed in support of projects ANT-1744550, -1744570, -1744584, and -1744602. It contains geotif files containing the minimum, maximum, and midpoint (average) sea ice concentrations in tenths calculated from NIC vector GIS layers for the 2008-2019 time period.", "east": -44.0, "geometry": ["POINT(-61 -66.5)"], "keywords": "Antarctica; Antarctic Peninsula; LMG1904; National Ice Center Charts; R/v Laurence M. Gould; Sea Ice Concentration", "locations": "Antarctica; Antarctic Peninsula", "north": -60.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "persons": "Klein, Andrew", "project_titles": "Collaborative Research: Sea ice as a driver of Antarctic benthic macroalgal community composition and nearshore trophic connectivity", "projects": [{"proj_uid": "p0010104", "repository": "USAP-DC", "title": "Collaborative Research: Sea ice as a driver of Antarctic benthic macroalgal community composition and nearshore trophic connectivity"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -73.0, "title": "Gridded sea ice concentrations from National Ice Center (NIC) Charts 2014-2019 for Western Antarctic Peninsula ", "uid": "601643", "west": -78.0}, {"awards": "1744584 Klein, Andrew", "bounds_geometry": ["POLYGON((-70 -61,-69 -61,-68 -61,-67 -61,-66 -61,-65 -61,-64 -61,-63 -61,-62 -61,-61 -61,-60 -61,-60 -61.8,-60 -62.6,-60 -63.4,-60 -64.2,-60 -65,-60 -65.8,-60 -66.6,-60 -67.4,-60 -68.2,-60 -69,-61 -69,-62 -69,-63 -69,-64 -69,-65 -69,-66 -69,-67 -69,-68 -69,-69 -69,-70 -69,-70 -68.2,-70 -67.4,-70 -66.6,-70 -65.8,-70 -65,-70 -64.2,-70 -63.4,-70 -62.6,-70 -61.8,-70 -61))"], "date_created": "Thu, 29 Dec 2022 00:00:00 GMT", "description": "This cvs dataset contains time series of sea ice concentrations from four remote sensing derived products \u2013 the Sea Ice Index (Sea Ice Index), AMSR2 and AMSR-E, and National Ice Center NIC Charts. The dataset consists of the daily (or weekly in the case of NIC) timeseries for the available period of record beginning in 1979 for the Sea Ice Index and extending until April 1, 2019. The sea ice concentrations were extracted from the nearest corresponding pixels from the fifteen study sites associated with visited by projects ANT-1744550, -1744570, -1744584, and -1744602 during ARSV Laurence M. Gould cruise LMG 19-04 in April and May 2019. In addition to the original time series, five-year annual means starting on April 1st are computed for the Sea Ice Index, AMSR2 and NIC datasets all of which covered the 2014-2019 period. These five-year means include both annual and summer (October-February).", "east": -60.0, "geometry": ["POINT(-65 -65)"], "keywords": "Antarctica; Antarctic Peninsula; Biota; LMG1904; R/v Laurence M. Gould; Sea Ice Concentration", "locations": "Antarctica; Antarctica; Antarctic Peninsula", "north": -61.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "persons": "Klein, Andrew", "project_titles": "Collaborative Research: Sea ice as a driver of Antarctic benthic macroalgal community composition and nearshore trophic connectivity", "projects": [{"proj_uid": "p0010104", "repository": "USAP-DC", "title": "Collaborative Research: Sea ice as a driver of Antarctic benthic macroalgal community composition and nearshore trophic connectivity"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -69.0, "title": "Sea Ice Concentration Timeseries for study sites", "uid": "601642", "west": -70.0}, {"awards": "1840058 Jenouvrier, Stephanie; 1246407 Jenouvrier, Stephanie", "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 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Mon, 27 Jun 2022 00:00:00 GMT", "description": "Individuals differ in many ways. Most produce few offspring; a handful produce many. Some\r\ndie early; others live to old age. It is tempting to attribute these differences in outcomes to differences in individual traits, and thus in the demographic rates experienced. However, there is\r\nmore to individual variation than meets the eye of the biologist. Even among individuals sharing identical traits, life history outcomes (life expectancy and lifetime reproduction) will vary due\r\nto individual stochasticity, i.e., to chance. Quantifying the contributions of heterogeneity and\r\nchance is essential to understanding natural variability. Inter-individual differences vary across environmental conditions, hence heterogeneity and stochasticity depend on environmental conditions. We show that favorable conditions increase the contributions of individual stochasticity, and reduce the contributions of heterogeneity, to variance in demographic outcomes in a seabird population. The opposite is true under poor conditions. This result has important consequence for understanding the ecology and evolution of life history strategies.\r\n\r\nSpecifically, three life-history complexes exist in a population of southern fulmar (defined as sets of life-history characteristics that occur together through the lifetime of an individual). They are reminiscent of the gradient of life- history strategy observed among species:\r\n\r\n1. Group 1 (14% of offspring at fledging) is a slow-paced life history where individuals tend to delay recruitment, recruit successfully, and extend their reproductive lifespan.\r\n2. Group 2 (67% of offspring at fledging) consists of individuals that are less likely to recruit, have high adult survival, and skip breeding often.\r\n3. Group 3 (19% of offspring at fledging) is a fast-paced life history where individuals recruit early and attempt to breed often but have a short lifespan.\r\n\r\nIndividuals in groups 1 and 3 are considered \u201chigh-quality\u201d individuals because they produce, on average, more offspring over their lives than do individuals in group 2. But group 2 is made-up of individuals that experience the highest levels of adult survival.\r\n \r\nDifferences between these groups, i.e. individual heterogeneity, only explains a small fraction of variance in life expectancy (5.9%) and lifetime reproduction (22%) when environmental conditions are ordinary. We expect that the environmental context experienced, especially when environmental conditions get extreme, is key to characterizing individual heterogeneity and its contribution to life history outcomes. Here, we build on previous studies to quantify the impact of extreme environmental conditions on the relative contributions of individual heterogeneity and stochasticity to variance in life history outcomes.\r\nWe found that the differences in vital rates and demographic outcomes among complexes depend on the sea ice conditions individuals experience. Importantly, differences across life history complexes are amplified when sea ice concentration get extremely low. Sea ice conditions did not only affect patterns of life history traits, but also the variance of life history outcomes and the relative proportion of individual unobserved heterogeneity to the total variance. These new results advance the current debate on the relative importance heterogeneity (i.e. potentially adaptive) and stochasticity (i.e. enhances genetic drift) in shaping potentially neutral vs. adaptive changes in life histories.\r\n", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Biota; Birds; East Antarctica; Southern Fulmar", "locations": "East Antarctica; Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "persons": "Jenouvrier, Stephanie", "project_titles": "Linking Foraging Behaviors to Demography to understand Albatrosses Population Responses to Climate Change; Polar Seabirds with Long-term Pair Bonds: Effects of Mating on Individual Fitness and Population Dynamics", "projects": [{"proj_uid": "p0010002", "repository": "USAP-DC", "title": "Linking Foraging Behaviors to Demography to understand Albatrosses Population Responses to Climate Change"}, {"proj_uid": "p0010090", "repository": "USAP-DC", "title": "Polar Seabirds with Long-term Pair Bonds: Effects of Mating on Individual Fitness and Population Dynamics"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Demographic outputs and their variances for three life history complexes for the Southern Fulmar across contrasted sea ice conditions.", "uid": "601585", "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}, {"awards": "1341717 Ackley, Stephen", "bounds_geometry": ["POLYGON((-180 -55,-177 -55,-174 -55,-171 -55,-168 -55,-165 -55,-162 -55,-159 -55,-156 -55,-153 -55,-150 -55,-150 -57.3,-150 -59.6,-150 -61.9,-150 -64.2,-150 -66.5,-150 -68.8,-150 -71.1,-150 -73.4,-150 -75.7,-150 -78,-153 -78,-156 -78,-159 -78,-162 -78,-165 -78,-168 -78,-171 -78,-174 -78,-177 -78,180 -78,178 -78,176 -78,174 -78,172 -78,170 -78,168 -78,166 -78,164 -78,162 -78,160 -78,160 -75.7,160 -73.4,160 -71.1,160 -68.8,160 -66.5,160 -64.2,160 -61.9,160 -59.6,160 -57.3,160 -55,162 -55,164 -55,166 -55,168 -55,170 -55,172 -55,174 -55,176 -55,178 -55,-180 -55))"], "date_created": "Mon, 10 Jun 2019 00:00:00 GMT", "description": "This dataset is the csv file of hourly visual ice observations conducted in the ASPeCt protocol on the PIPERS cruise NBP1704 to the Ross Sea during April to June 5 2017. Parameters are ice concentration, thickness, snow depth, floe sizes, etc for up to three categories of ice type within a 1km radius of the ship during the observation. These are identified by date, time and latitude, longitude at the time of observations", "east": -150.0, "geometry": ["POINT(-175 -66.5)"], "keywords": "Antarctica; Glaciology; Ice Concentration; Ice Thickness; Ice Type; NBP1704; Oceans; Ross Sea; R/v Nathaniel B. Palmer; Sea Ice; Snow Depth; Snow/ice; Snow/Ice; Visual Observations", "locations": "Antarctica; Ross Sea", "north": -55.0, "nsf_funding_programs": "Antarctic Integrated System Science", "persons": "Ackley, Stephen", "project_titles": "Collaborative Research: Seasonal Sea Ice Production in the Ross Sea, Antarctica", "projects": [{"proj_uid": "p0010032", "repository": "USAP-DC", "title": "Collaborative Research: Seasonal Sea Ice Production in the Ross Sea, Antarctica"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -78.0, "title": "ASPeCt Visual Ice Observations on PIPERS Cruise NBP1704 April-June 2017", "uid": "601183", "west": 160.0}, {"awards": "1341547 Stroeve, Julienne", "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 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Fri, 31 Aug 2018 00:00:00 GMT", "description": "Sea ice variability within the marginal ice zone (MIZ) and polynyas plays an important role for phytoplankton productivity and krill abundance. Therefore, mapping their spatial extent, seasonal and interannual variability is essential for understanding how current and future changes in these biologically active regions may impact the Antarctic marine ecosystem. Knowledge of the distribution of MIZ, consolidated pack ice and coastal polynyas to the total Antarctic sea ice cover may also help to shed light on the factors contributing towards recent expansion of the Antarctic ice cover in some regions and contraction in others. The long-term passive microwave 21 satellite data record provides the longest and most consistent record for assessing the proportion of the sea ice cover that is covered by each of these ice categories. This data set provides estimates of the MIZ, consolidated pack ice and polynyas from the NASA Team and Bootstrap sea ice concentration data sets, from 1979 to 2017.\r\n", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Pack Ice; Polynya; Sea Ice; Southern Ocean", "locations": "Southern Ocean; Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "persons": "Stroeve, Julienne", "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": -90.0, "title": "Antarctic MIZ, Pack Ice and Polynya Maps from Passive Microwave Satellite Data", "uid": "601115", "west": -180.0}, {"awards": null, "bounds_geometry": null, "date_created": "Fri, 01 Jan 1993 00:00:00 GMT", "description": "This gridded dataset consists of output from the Polar MM5, a version of the Pennsylvania State University / National Center for Atmospheric Research Fifth Generation Mesoscale Model (MM5; version 2) modified for use over extensive ice sheets. More information on the Polar MM5, including a model description and validation studies, is available at http://www-bprc.mps.ohio-state.edu. A series of 72-h non-hydrostatic forecasts are run for a 1-y period (Jan 1993-Dec 1993) overAntarctica and the high-latitude Southern Ocean. The first 24-h of each forecast are discarded for spin up. The horizontal grid resolution is 60-km, with 120 grid points in the x and y direction. The model topography data are interpolated from a 5-km resolution digital elevation model. The ice shelves are manually identified from climatic maps, and represented as permanent ice. The vertical resolution is represented by 28 sigma levels, with the lowest at 11-m above ground level. The initial and boundary conditions include 12-hourly ECMWF TOGA (2.5 deg) global analysis for the surface and upper air variables, 6-hourly ECMWF TOGA (1.125 deg) global analysis for sea surface temperature, and daily DMSP SSM/I polar gridded sea ice concentration (25-km) from the National Snow and Ice Data Center. Model output is in native MM5 format, and available variables are numerous, The reader is referred to the MM5 website for a complete list of variables, as well as detailed documentation and tools for reading and plotting the data. Go to the MM5 homepage at http://www.mmm.ucar.edu/mm5/mm5-home.html. This dataset is currently available upon request from the Polar Meteorology Group, Byrd Polar Research Center, Columbus, OH. Email David Bromwich (bromwich@polarmet1.mps.ohio-state.edu).", "east": null, "geometry": null, "keywords": null, "locations": null, "north": null, "nsf_funding_programs": null, "persons": "Bromwich, David", "project_titles": null, "projects": null, "repositories": null, "science_programs": null, "south": null, "title": "Polar MM5 model output over Antarctica and high-latitude Southern Ocean during 1993", "uid": "600001", "west": null}]

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