The Climate Change Tower Integrated Project (CCT-IP) represents the guide lines of the italian research in the arctic and aims to study the interaction between all the components of the climate system in the Arctic. The Amundsen-Nobile Climate Change Tower (CCT) is the key infrastructure of the project, and provides continuous acquisition of the atmospheric parameters at different heights as well as at the interface between the surface and the atmosphere. Surface-atmosphere interface data include heat-flux between soil and snow and into the soil, soil temperature and snow skin temperature. 30 minutes average (μ) and standard deviation (σ) will be available for the download. Data at resolution of 1 minute are available for online visualization and downloadable under request. Partly funded by Arctic PASSION project (agreement number 101003472).

ISotopic and physical-chemical MOnitoring of GLACial drainages and sea water in the Ny-Ålesund area (Svalbard) The dataset includes vertical profiles of physical-chemical performed on-site in different sites along the fjord in Kongsfjorden.

Concentration data for Sulfuric Acid (SA), Methane Sulfonic Acid (MSA) and Iodic Acid (IA) - in molecule per cubic centimeter (#.cm-3). Averaging time 60 min.

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

2017 NAIS at Gruvebadet

ISotopic and physical-chemical MOnitoring of GLACial drainages and sea water in the Ny-Ålesund area (Svalbard) The project concerns an isotopic and physical-chemical monitoring of inland glacial drainages and ocean water into Kongsfjorden. It is aimed at defining the dynamic processes of the glacial melting and evaluating the consequent transfers of fresh water towards the Arctic Ocean. The dataset includes the continuous measurements (1 data/15 min) performed during summer season by a CTD diver. Parameter: Temperature, electical conductivity, water level.

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.

Carbon flux and its isotopic signature in arctic regions under climate change (CarIsoA) Study carbon flux by evaluating CO2 assimilation on target species. Parameters: Light curve, CO2 curve and temperature curve for on Salix polaris, Saxifraga cespitosa, Dryas octopetala and Carex polaris

2025 NAIS at Gruvebadet

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