The AUXMON (AUXiliary MONitoring) project aims at providing a continuous monitoring of auxiliary variables useful to support investigation of night-sky brightness. Sky-Quality Meters (SQM) sensors are one of the core infrastructure of the project. They are low-cost sensors for measuring night sky brightness.

Data collected by the WINTER-CZ Monitoring Station. The CO2 and the temperature is sampled is measured inside the soil, the snowpack (when the station is covered by the snow) and the atmosphere. Other variables are collected as well: the humidity and the oxygen content of the soil, the snowpack height, the humidity and the temperature of the air, the wind speed and direction.

Snow water equivalent at the Gruvebadet Snow Resarch Site

Measurement of the concentration and turbulent flux of CO2 and CH4 at 15 m above sea level on the CCT.

The AUXMON (AUXiliary MONitoring) project aims at providing a continuous monitoring of auxiliary variables useful to support investigation of night-sky brightness. Sky-Quality Meters (SQM) sensors are one of the core infrastructure of the project. They are low-cost sensors for measuring night sky brightness.

The AUXMON (AUXiliary MONitoring) project aims at providing a continuous monitoring of auxiliary variables useful to support investigation of Arctic atmospheric composition, temperature, humidity. A small network of 4 AIRQino station is the core infrastructure of the project. Three of these stations are positioned outdoors, one (station id 266) is placed inside the italian base. Specifically, the AIRQino stations are low-cost sensors providing information about the concentration of CO2, gaseous pollutants, particulate matter, air temperature and relative humidity.

Aerosol Optical Depth (AOD) measured by the Alfred Wegener Institute (Alfred Wegener Instituite for Polar and Marine Research (AWI)) at Ny-Alesund between 2001 and 2010 by using a Carter Scott SP01. AOD is provided at 500 nm and alpha in the spectral range (nm) 443-864.

Aerosol Optical Depth (AOD) measured by the NOrwegian Institute for Air Research (NILU) at Ny-Alesund between 2002 and 2010 by using a Precision Filter Radiometer (PFR). AOD is provided at 500 nm and alpha in the spectral range (nm) 411.9-862.5.

This dataset comprises measurements from a moored single-point acoustic current meter, collected by the Mooring Dirigibile Italia (MDI), which is managed by the Institute of Polar Sciences of the National Research Council (CNR). The data was gathered at Kongsfjorden, Svalbard Island, since 10 September 2010. This dataset is also part of the SIOS-Svalbard Integrated Arctic Earth Observing System, developed to observe the impacts of climate change, including the rapid loss of sea ice cover, the retreat of local glaciers, and the Atlantification of Arctic seas. Measured properties are: subsurface temperature and subsurface currents. The acquisition of this time series data is still ongoing and will continue, bolstered by the inclusion of this infrastructure within the framework of the Italian PNRR project ITINERIS. This ensures sustained data collection and further enhances our understanding of the observed environmental changes.

This dataset comprises measurements from moored CTD instruments, collected by the Mooring Dirigibile Italia (MDI), which is managed by the Institute of Polar Sciences of the National Research Council (CNR). The data was gathered at Kongsfjorden, Svalbard Island, since 9 September 2010. This dataset is also part of the SIOS-Svalbard Integrated Arctic Earth Observing System, developed to observe the impacts of climate change, including the rapid loss of sea ice cover, the retreat of local glaciers, and the Atlantification of Arctic seas. Measured properties are: sea-water pressure, subsurface temperature, conductivity, dissolved oxygen in sea-water and turbidity. The acquisition of this time series data is still ongoing and will continue, bolstered by the inclusion of this infrastructure within the framework of the Italian PNRR project ITINERIS. This ensures sustained data collection and further enhances our understanding of the observed environmental changes.