Snow water equivalent at the Gruvebadet Snow Resarch Site

Chronobiology of polar organisms (Chronopolar) Monitoring water parameters in surface and deep (3.0 meters) using DS18B20 + rasberry-pi. Sample collection: Lepidurus arcticus.

Ice Nuclei Particle Concentration (INPAIR) INPAIR Svalbard' Chemistry and Physics of the Atmosphere: Ice nucleating particle (INPs) concentration obtained in spring and summer campaigns in the Arctic Region. Measurements of INPs concentrations and activation fraction of aerosol in Arctic (e.g. Gruvebadet observatory in Ny-Ãlesund). b) Correlating INPs concentration with meteorological parameters and physicochemical characterisations. Instrument: PM1 and PM10 sampling lines. DFPC chamber

Isotopic characterisation of arcic ponds Sampling of ponds and surrouding terrestrial envionrment. matter (expressed as ash fry dry matter) and N content as a percentage in soil and lake sediment.

The automated nivological station was installed in November 2020 in a flat area over the tundra about 80 meters far from the Gruvebadet Atmospheric Laboratory and nearby a snow sampling site from where weekly snow samples are collected for chemical analysis. Sensors (Pt100 1/3 DIN) have been calibrated by their companies before installation and are connected to a datalogger for continuous acquisition. For all the parameters, data are logged with 10-minute time resolution and then averaged over 1 hour. This activity is carried out by the Aldo Pontremoli Centre part of the Joint Research Agreement ENI-CNR, in the framework of the SnowCorD project (SIOS Core Data).

DOC fractionation: dynamic of POPs and trace metals Arctic DOC (ArcticDOC) The sampling design is projected to cover almost five sampling points in the Kongsfjorden. The sampling of surface water (approximately 100 liters for each sampling point) and sediment are aimed at the determination of persistent and emerging contaminants: POPs PFAS, CUPs, PPCPs, endocrine disruptors such as nonylphenols and bisphenol A. At the same time, with tangential-flow ultrafiltration, dissolved organic matter (DOM) will be characterized according to size fractions (colloidal and truly dissolved) and the distribution of contaminants associated to these fractions will be evaluated.

Terrestrial Photography ApplicationS on Snow covEr in Svalbard (PASSES) Evolution of the fractional snow cover in the Broggerdalen area using ground-based cameras located at the Climate Change Tower. Development of a new snow product focused on the estimation of the fraction of snow cover in selected sites at different spatial resolutions. All the available data obtained from public repositories such as the digital elevation model of Svalbard, the webcam imageries in Svalbard and satellite products from Landsat, Sentinel and MODIS missions, will be integrated in order to estimate the fraction of snow cover, at different spatial resolutions, for each satellite mission, computed at different sites in Svalbard islands.

Terrestrial Photography ApplicationS on Snow covEr in Svalbard (PASSES) Project start: 2018-04-15 - end: 2021-12-31 The purpose of this activity is the development of a new snow product focused on the estimation of the fraction of snow cover in selected sites at different spatial resolutions. This dataset will be aimed to support the estimation of cryospheric information using remotely sensed data, with a particular attention to data obtained in the framework of the Copernicus program. The availability of this dataset in a natural laboratory such as Svalbard islands will support the reduction of the gap between remotely sensed data and modeling activities. This added value will be very important considering the higher spatial resolution of the sensors recently deployed. The dataset will be based on re-using data obtained from public repositories such as the digital elevation model of Svalbard, the available webcam imageries in Svalbard and satellite products from Landsat, Sentinel and MODIS missions. All the available data will be integrated in order to estimate the fraction of snow cover, at different spatial resolutions, for each satellite mission. These estimations, computed at different sites in Svalbard islands, will offer the opportunity to better integrate results obtained by remote sensing with modeling and air-snow interactions studies. Particular attention will be devoted to the formalization of agreements with raw-data providers in case of not-public licensing policies.

Sulphate contributions to PM10 aerosol sampled at Gruvebadet Observatory (Ny-Ålesund)

Spatial variability: validation dataset on pops concentrations in snow (SVAL-POPS) We aim to measure the spatial variability of chosen persistent organic pollutants levels in the snow. The samples will represent three spatial scales: 2-5 m spacing, 0.5-1 km distance, and two sites across Svalbard: Ny Ålesund and Hornsund. These will be compared thanks to a laboratory crosscheck.