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47 results for “West Antarctic”
Ocean-forced instability of the West Antarctic Ice Sheet since the mid-Pleistocene
<p>This data file contains the IRD abundance, clay mineralogy, water content in Excel file 'Wang et al.xlsx (sheet: sedimentology)', and Sr-Nd isotopes in Excel file 'Wang et al.xlsx (sheet: Sr-Nd isotope)' in gravity core ANT34/A2-10 (LATITUDE: -67.036111 and LONGITUDE: -125.591944) from the Amundsen abyssal plain since 770 ka.<br>Supplement to Jiakai Wang et al., Ocean-forced instability of the West Antarctic Ice Sheet since the mid-Pleistocene. Geochemistry Geophysics Geosystems (in review).<br> </p>
WAIS model for "Antarctic Peninsula warming triggers enhanced basal melt rates throughout West Antarctica"
<p>This data set contains the code and input files for WAIS-1080 model, which is based on the Massachusetts Institute of Technology general circulation model (MITgcm), including dynamic/thermodynamic sea-ice model and sub-ice-shelf cavity model for freezing/melting processes.</p> <p>code_was.tar contains source files for compiling model;</p> <p>init.tar and input.tar contain run-time parameter files and binary files for running model</p> <p> </p> <p> </p>
Supraglacial lakes and channels in West Antarctica and Antarctic Peninsula during January 2017 - Maximum Extent
<p>The maximum extent of supraglacial lakes and channels in West Antarctica and the Antarctic Peninsula in January 2017 was produced by a Dual-NDWI (Normalised Difference Water Index) approach with thresholds. >2000 individual scenes were captured by Sentinel-2 (S2) and Landsat-8 (L8) satellite sensors during the entire month of January 2017. To obtain maximum coverage on the cloudy Antarctic Peninsula, the time period is extended to February 10, 2017 over this region.</p> <p>This dataset consists of the maximum extent of supraglacial hydrological activity during January 2017 and detailed 10,478 supraglacial features (10,223 lakes and 255 channels), with cumulative area 119.4 square km in total on the West Antarctic ice sheet and Antarctic Peninsula. In addition to the final product, the supraglacial hydrological features from both sensors (23,389 polygons for S2 and 17,571 polygons for L8) overlapping the final map are included in supplementary datasets. The supraglacial lake and channel polygons are available as digital GIS, Geographic Information System, shapefiles (.shp) and GeoJSON files as well as Google Earth format (.kmz). The code used to produce the lake and channel dataset for each sensor (S2 and L8) is implemented using Python, and can be accessed on Zenodo (<a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.5281%2Fzenodo.4906097&amp;data=04%7C01%7Ccorrd%40live.lancs.ac.uk%7Ce16045ed14e34f2cb4f108d92b70565e%7C9c9bcd11977a4e9ca9a0bc734090164a%7C0%7C0%7C637588586902880130%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&amp;sdata=JPsWDkSk9wqxEcoxMGWzbNgleTFB1NoIFn7t0WlDg3Q%3D&amp;reserved=0">https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.5281%2Fzenodo.4906097&amp;data=04%7C01%7Ccorrd%40live.lancs.ac.uk%7Ce16045ed14e34f2cb4f108d92b70565e%7C9c9bcd11977a4e9ca9a0bc734090164a%7C0%7C0%7C637588586902880130%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&amp;sdata=JPsWDkSk9wqxEcoxMGWzbNgleTFB1NoIFn7t0WlDg3Q%3D&amp;reserved=0</a>) . Landsat-8 and Sentinel-2 imagery are freely available at (<a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fearthexplorer.usgs.gov%2F&amp;data=04%7C01%7Ccorrd%40live.lancs.ac.uk%7Ce16045ed14e34f2cb4f108d92b70565e%7C9c9bcd11977a4e9ca9a0bc734090164a%7C0%7C0%7C637588586902880130%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&amp;sdata=RidpbAMFz28isbZM6vNZWPMTdl3bl5OxO3SVWvBu6MQ%3D&amp;reserved=0">https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fearthexplorer.usgs.gov%2F&amp;data=04%7C01%7Ccorrd%40live.lancs.ac.uk%7Ce16045ed14e34f2cb4f108d92b70565e%7C9c9bcd11977a4e9ca9a0bc734090164a%7C0%7C0%7C637588586902880130%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&amp;sdata=RidpbAMFz28isbZM6vNZWPMTdl3bl5OxO3SVWvBu6MQ%3D&amp;reserved=0</a>) and (<a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscihub.copernicus.eu%2F&amp;data=04%7C01%7Ccorrd%40live.lancs.ac.uk%7Ce16045ed14e34f2cb4f108d92b70565e%7C9c9bcd11977a4e9ca9a0bc734090164a%7C0%7C0%7C637588586902880130%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&amp;sdata=lZINlehD3i%2BN%2BPSVZgSJnZa%2FruFq2vGHoEnkQGMmq%2Fg%3D&amp;reserved=0">https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscihub.copernicus.eu%2F&amp;data=04%7C01%7Ccorrd%40live.lancs.ac.uk%7Ce16045ed14e34f2cb4f108d92b70565e%7C9c9bcd11977a4e9ca9a0bc734090164a%7C0%7C0%7C637588586902880130%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&amp;sdata=lZINlehD3i%2BN%2BPSVZgSJnZa%2FruFq2vGHoEnkQGMmq%2Fg%3D&amp;reserved=0</a>), respectively.</p> <p>The products provide a scientific benchmark to monitor the development of these features in a warming climate, and thus enhancing our capability to predict the calving and collapse of any ice shelves in the future. The results provide a baseline for future monitoring of supraglacial hydrology and can be particularly useful to train supervised machine learning algorithms. The lake and channel dataset will be valuable as training data for pixel-based or object-based approaches to map large-scale features automatically using machine learning. This dataset can also provide an a-priori lake distribution for studies incorporating synthetic-aperture radar, SAR and other sensors and platforms.</p> <p> </p>
Intra‐season variations in distribution and abundance of humpback whales in the West Antarctic Peninsula using cruise vessels as opportunistic platforms
<p class="MsoNormal"><span>Following the near collapse of several whale populations in the Southern Ocean, some baleen whale stocks are on the rise again. Combined with the recent increase in fishery of Antarctic Krill (Euphausiia superba) around the Western Antarctic Peninsula (WAP) there is a growing need to quantify several aspects of some of these whale species in this area. In this study we use data collected from tourist vessels performing several trips during the Austral summer to quantify the beginning of the foraging season for Antarctic Humpback whales, estimate abundance, as well as use predictive habitat model to identify potential areas for interaction between this species and fishing vessels. </span></p> <p class="MsoNormal"><span>The following dataset includes the GPS track of both vessels and all marine mammal and seabird observations collected on two ships between late November 2019 and mid-January 2020. These data were gathered following standard Distance Sampling protocols, recorded in Logger2010 software </span>(<a href="http://www.marineconservationresearch.co.uk/downloads/logger-2000-rainbowclick-software-downloads/">http://www.marineconservationresearch.co.uk/downloads/logger-2000-rainbowclick-software-downloads/</a>), stored in MS Access database files and subset in .RData files for analysis.</p>
Regional controls on the sea ice-mixed layer depth relationship in the West Antarctic Peninsula (WAP)
<p>Data corresponding to "Regional controls of the sea ice-mixed layer depth relationship in the West Antarctic Peninsula (WAP)" (Bischof et al., in prep.).</p> <p>model_setup contains the input and code directories needed to run our model using MITgcm. data contains all model output used to plot the figures contained in the paper.</p> <p> </p>
MITgcm West Antarctic Slope Undercurrent process-oriented model (MITgcm_UC)
<p><strong>MITgcm_UC.zip</strong>: The Matlab scripts used to generate, run and analyze the MITgcm simulations.</p> <ul> <li>MITgcm_UC/newexp_uc: The Matlab scripts used to generate and run the MITgcm simulations.</li> <li>MITgcm_UC/analysis_uc: The Matlab scripts used to calculate products and make figures.</li> </ul> <p><strong>products.zip</strong>: The products calculated from MITgcm_UC model diagnostics and the data used to make figures for the manuscript.</p> <p><strong>All the raw data of the model output are available at: <a href="https://doi.org/10.15144/S4QP4N">https://doi.org/10.15144/S4QP4N</a>.</strong></p> <p>Matlab scripts for vorticity budget analysis in MITgcm_UC/analysis_uc:</p> <ul> <li>calc_all_vorticity.m: A convenient script to load experiments and calculate the vorticity budget</li> <li>functions/calc_BCvorticity_cdw_sw.m: Calculate the vorticity budget for the CDW layer and the surface layer, respectively, after interpolating the momentum budget terms onto a much finer vertical grid (3400 layers in the vertical direction).</li> <li>calc_IceShelfPressureTorque.m: Calculate the pressure torque exerted from the ice shelf to the CDW layer or the surface layer.</li> <li>functions/calc_BCvorticity_ISPT.m: Calculate the decomposition of the pressure torque in the vorticity budget, including the ice-shelf pressure torque, bottom pressure torque, and interfacial pressure torque.</li> <li>functions/calc_BCvorticity_PVint.m: Calculate the potential vorticity of the CDW layer, select PV contours, and then cumulatively integrate the vorticity budget terms for the selected area. </li> <li>plots/fig4_new.m: Plot the vorticity budget (Extended Data Figs. 3 and 6 in the manuscript)</li> <li>plots/fig5_addCDWflux.m: Plot the area-integrated vorticity budget (Fig. 2 of the manuscript)</li> <li>plots/plot_stretch_new.m: Estimated pressure torques of the CDW layer using bottom vertical velocity, the vertical velocity across the upper bound of the CDW layer and the diapycnal velocity. (Extended Data Fig. 4 of the manuscript)</li> </ul> <p><br>Feel free to contact Yidongfang Si via y_si@mit.edu if you have any questions.</p>
Intra‐season variations in distribution and abundance of humpback whales in the West Antarctic Peninsula using cruise vessels as opportunistic platforms
Open the record for dataset details and reuse information.
Namelists required to run sea ice and physics configuration of MITgcm for the West Antarctic Peninsula
<p>This dataset contains the namelists that describe the initial conditions, forcing files and specific package configurations used to run a sea ice and ocean physics configuration of the MITgcm (general circulation model) for the West Antarctic Peninsula (WAP). </p>
Data from: Seasonal dynamics of megafauna on the deep West Antarctic Peninsula shelf in response to variable phytodetrital influx
The deep West Antarctic Peninsula (WAP) shelf is characterized by intense deposition of phytodetritus during spring/summer months, while very little food material reaches the seafloor during winter. The response of the shelf benthic megafauna to this highly variable food supply is still poorly understood. In order to characterize the deposition of phytodetritus and the megabenthic community response, we deployed a seafloor time-lapse camera at approximately 590 m depth on the mid WAP shelf west of Anvers Island for 15 months. Seafloor photographs were taken at intervals of 12 or 24 h nearly continuously from 9 December 1999 (austral winter) to 20 March 2001 (summer) and analysed for phytodetritus deposition and megafaunal dynamics. Seafloor images indicated a marked seasonal arrival of greenish phytodetritus, with large interannual and seasonal variability in the coverage of depositing phytodetrital particles. The surface-deposit-feeding elasipod holothurians Protelpidia murrayi and Peniagone vignoni dominated the epibenthic megafauna throughout the year, frequently constituting more than 80% of the megafaunal abundance, attaining total densities of up to 2.4 individuals m−2. Elasipod abundances were significantly higher in summer than winter. During summer periods of high phytodetrital flux, Pr. murrayi produced faecal casts at higher rates, indicating intensified population-level feeding activity. In March–June 2000, faecal casts lasted longest, suggesting lower horizontal bioturbation activity during autumn–winter. Our data indicate that the Pr. murrayi population increases its feeding rates in response to increasing amounts and/or lability of organic matter on the sediment surface. Assuming that this species feeds on the top millimetre of the sediment, we estimate that, during periods of high phytodetrital flux, the Pr. murrayi population reworks one square metre of sediment surface in approximately 287 days. We suggest that Pr. murrayi is an important species for organic-carbon recycling on the deep WAP shelf, controlling the availability of deposited labile phytodetritus to the broader shelf benthic community.
FIGURE 1. Typhlotanais grahami n in A description of a new species of Typhlotanais (Crustacea: Tanaidacea) from West Antarctic with a note on the genus
FIGURE 1. Typhlotanais grahami n. sp., A–B, female paratype lateral and dorsal view; C, male dorsal view; D, female uropod; E, female pleotelson and uropods; F, female antennule; G, female antenna; H, female pleopod. Scale bar: a = 0.1mm for A–C; a = 0.2 mm for E, a = 0.05 mm for D, b = 0.1 mm for F–G, c = 0.1 mm for H.
FIGURE 3. Typhlotanais grahami n in A description of a new species of Typhlotanais (Crustacea: Tanaidacea) from West Antarctic with a note on the genus
FIGURE 3. Typhlotanais grahami n. sp. male: A, antennule; B, antenna; C, maxilliped; D, cheliped; E–J, pereopods 1–6; K, pleopod; L, pleotelson; M, uropod. Scale bar: a = 0.1 mm for D, L; b = 0.1 mm for A–C, E–K, M.
FIGURE 2. Typhlotanais grahami n in A description of a new species of Typhlotanais (Crustacea: Tanaidacea) from West Antarctic with a note on the genus
FIGURE 2. Typhlotanais grahami n. sp, female: A, left mandible; B, right mandible; C, labrum; D, maxillule; E, maxilla; F, maxilliped; G, cheliped; H—M, pereopods 1—6; Scale bar: 0.05 mm for D; 0.2 mm for G; 0.1 mm for A—C, E—F, H—M.
STREAMICE code and inputs for "The West Antarctic Ice Sheet may not be vulnerable to Marine Ice Cliff Instability during the 21st Century"
<p>This repository contains all inputs and code to carry out the STREAMICE calving experiments run for the manuscript "The West Antarctic Ice Sheet may not be vulnerable to Marine Ice Cliff Instability during the 21st Century" using the modelling framework MITgcm.</p> <p>MITgcm-front_retreat/ contains a branch of the MITgcm code that enables calving front advance and retreat in the STREAMICE model, and is a branch of checkpoint 68d. Please see https://github.com/MITgcm/MITgcm/blob/master/LICENSE.txt for the MITgcm open source license detail.</p> <p>code/ contains experiment-specific code for the runs detailed in the manuscript</p> <p>input_fwd/ contains all binary and parameter input files for the runs detailed in the manuscript</p> <p>archer_scripts/ contains shell scripts written for the ARCHER2 UK supercomputer to demonstrate how the model is compiled</p> <p> </p> <p> </p>
Data and code for: "Sea level rise from West Antarctic mass loss significantly modified by large snowfall anomalies"
<p>Data and code required to reproduce results in paper: "Sea level rise from West Antarctic mass loss significantly modified by large snowfall anomalies"</p>
Multiple locus phylogeography to evaluate the diversity of the Cold Water Soft Coral Alcyonium spp. (Anthozoa, Octocorallia: Alcyonacea) between South America and West Antarctic Peninsula
<p class="MsoNormal"><span>The Antarctic marine environment has a unique geologic and climatic history that has contributed to the evolution of a diverse range of species. With the environment undergoing warming trends, it is critical to understand the history of Antarctic species to anticipate the effect of environmental changes on ecosystem functioning. Soft corals are a crucial component of the benthic marine assemblage of the Southern Ocean, which is recognized as a biodiversity hotspot. Nevertheless, our comprehension of the biogeographical patterns and distribution of this group in the Southern Ocean is insufficient. In this study, we used molecular phylogenetic reconstructions, divergence estimations, and species delimitations to examine the spatial patterns of genetic diversity in shallow-sea octocorals of the <em>Alcyonium </em>spp. in the Southern Ocean and adjacent regions, utilizing DNA sequences (mtMutS-COI and 28S) and Genomic Single Nucleotide Polymorphisms (SNPs) markers. The study revealed significant genetic differences between different populations, with a clear genetic break observed between SA and WAP populations. We also identified four putative species or evolutionary independent units (EIUs), with one putative species found in the West Antarctic Peninsula, one in the Patagonian region, and two found in Burdwood Bank and Falkland Island, respectively. The divergence time estimation indicated that the diversification process of Alcyonium began about 7.2 million years ago, with the initial separation occurring between WAP and SA populations. Furthermore, the study emphasized the critical role played by the Scotia Sea islands, especially Burdwood Bank, in the evolution of Southern Ocean biota. Overall, the findings provide evidence for the existence of multiple species within the genus <em>Alcyonium</em> and information on the evolutionary history of this group for the first time in the Southern Ocean.</span></p>
Response of water isotopes in precipitation to a collapse of the West Antarctic Ice Sheet in high-resolution simulations with the Weather Research and Forecasting Model
<p>This archive includes data and ipython notebooks to create the figures for the manuscript "Response of water isotopes in precipitation to a collapse of the West Antarctic Ice Sheet in high-resolution simulations with the Weather Research and Forecasting Model" submitted to Journal of Climate in August 2022.</p> <p>Model output from WRFwiso and iCAM is in data.zip (saved as monthly means)</p> <p>Notebooks and python modules are in scripts.zip</p> <p>Required python packages (all included in environment.yml):</p> <ul> <li>numpy</li> <li>matplotlib</li> <li>netcdf4</li> <li>basemap</li> <li>scipy</li> <li>wrf-python</li> <li>windspharm</li> <li>metpy</li> <li>intergrid</li> <li>cmocean</li> </ul> <p>Version 1 is the original upload from the first submission.</p> <p>Version 2 includes small updates of the data and scripts from the revision.</p>
Data from: Seasonal dynamics of megafauna on the deep West Antarctic Peninsula shelf in response to variable phytodetrital influx
Open the record for dataset details and reuse information.
Multiple locus phylogeography to evaluate the diversity of the Cold Water Soft Coral Alcyonium spp. (Anthozoa, Octocorallia: Alcyonacea) between South America and West Antarctic Peninsula
Open the record for dataset details and reuse information.
Biogeochemistry initial and boundary conditions to run West Antarctic Peninsula MITgcm-REcoM2
<p>The files in this dataset include the initial and boundary conditions for all the biogeochemistry variables of the MITgcm-REcoM2 circulation, sea ice and biogeochemistry regional configuration for the West Antarctic Peninsula (WAP).</p>
FIGURE 4. Typhlotanais grahami n in A description of a new species of Typhlotanais (Crustacea: Tanaidacea) from West Antarctic with a note on the genus
FIGURE 4. Typhlotanais grahami n. sp, female: tip of maxillule with two fused spiniform setae.
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