Polar View delivers a range of environmental information services for the polar regions derived primarily from satellite imagery and data. The project aims to coordinate delivery of these information products direct to users. Services include enhanced sea ice information (charts and forecasts) as well as ice-edge and iceberg monitoring data. We also provide monitoring services for lake and river ice, snow cover maps and glacier monitoring and assessment. any services are delivered in near real time and are readily accessible via the Internet.

Measurements of mean annual temperature in degrees Celsius at 22 sites in Pine Island Glacier, located by hand held Garmin GPS position, and altitude recorded by survey quality Leica GPS. The mean annual temperature of a remote ice sheet site is generally agreed to be equivalent to the temperature measured at 10m depth in a borehole. This dataset records the 10m temperatures at 22 remote sites in the Pine Island Glacier region of the West Antarctic Ice Sheet. Data were recorded on a single thermistor logging thermometer for a period of 12 to 24 hours on the date noted in table (marked in table as ''Single thermistor'') or as the mean of two cables with parallel triple thermistors measured at a single time (date/time noted in table) after a minimum of 12 hours settling in the borehole (marked in table as ''Average of six thermistors''). Measurements were made independently in two boreholes: one drilled to approximately 12m for deployment of a neutron source ice density probe (marked in table as ''10m temperature neutron probe borehole''); one drilled to approximately 50m during recovery of an ice core (marked in table as ''10m temperature ice core borehole''). Some have argued that the mean annual temperature is better measured at 15m in a borehole to remove any trace of the seasonal surface temperature cycle. In the table we additionally record the temperature in the ice core borehole at 15m (marked in table as ''15m temperature ice core borehole'') using a logging PT-100 temperature device (marked in table as ''Single PT-100'').

This dataset contains all datasets used in Yang et al. ACP (2019), especially the model-data comparison data and pTOMCAT''s model experimental results. The data include pTOMCAT model output of sea salt aerosol (SSA) and the cruise data from the Weddell Sea, they include blowing snow particles and aerosol number density and regrouped size spectrum over open ocean, marginal sea ice zone and packed sea ice. It also contains monthly sea salt aerosol sodium concentrations at eight polar sites in both northern and southern hemispheres: Alert, Barrow, Summit, Palmer, Neumayer, Halley, Kohnen and Concordia (Dome C). The Weddell Sea particle data (both blowing snow and aerosol) are from 29m above the sea level (not including near surface data). The data period only covers 13 June-26 July 2013. To get access to a full cruise dataset, see the companion paper by Frey et al. (2019) and the DOI link. This study was supported by NERC-funded BLOWSEA project (NE/J023051/1) and the German RV Polarstern.

This dataset presents concentration of microplastics in snow from remote Antarctic camps: Union Glacier, Schanz Glacier and the South Pole. Refined automated FTIR techniques enabled interrogation of microplastics (including fibres) to a lower detection limit of 11 micrometers in Antarctic snow for the first time. Microplastics were pervasive (73 - 3099 MP L/1). The majority (95 percent) measured less than 50 micrometers, indicating that previous microplastic reports in Antarctica may be underestimated, due to analytical restrictions. Plastic polymer composition and concentration did not vary significantly between sites, with dominant polymers being polyamide (PA), polyethylene terephthalate (PET), polyethylene (PE) and synthetic rubber. Results indicate that even in the earth''s most remote regions, humans are leaving a plastic legacy in the snow, illustrating the importance of remote, cryospheric regions as critical study sites for determining temporal fluxes in microplastic pollution. Funding: All fieldwork was supported and financed by Airbnb.