RIS: 3471 ARCA aims to develop a conceptual model on the mechanism(s) behind the release of large volumes of cold and fresh water from melting of ice caps, investigating this complex system from both paleoclimatic and modern air-sea-ice interaction process point of view. ARCA fits well within the Italian Strategy for Arctic. Testing and calibration of sensors measurement of vertical profile of turbulence, meteorological paramaters and characterisitic of the snow surface.

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

Homogenized Tethered Balloon record at station Ny-Ålesund, Spitsbergen in 2018 The scientific goals of BC-3D are to evaluate the distribution of Black Carbon and Mineral Dust in the first layers of atmosphere and surface snow over targeted Svalbard glaciers in order to identify the mechanisms of the air/snow exchanges also assisted by model predictions to provide the full 3D picture. Aerosol vertical profiles by tethered balloon: Aerosol vertical profiles gridded at a 50 m spatial resolution: R, T, P, RH, Aerosol size distribution, BC concentration. Maximum altitudes 1500 m.

Aerosol Biogeochemical cycles, Sources and TRansport processes in the climate-sensitive ArCTic - ABSTRACT Dataset consists in: Aerosol load, Ion, metal, EC/OC measurements on bulk and size-segregated particulate matter at Gruvebadet Observatory (Ny Alesund - Italian Station "Dirigibile Italia") using Aerosol sampling and measurement devices (TECORA ECHO-PM, TECORA Skypost, TECORA HI-VOL, FAI PBL, TSI SMPS, TSI APS - Ion Chromatographs, ICP-AES, Thermo-Optical Analyzer, ICP-MS) Aerosol measurements and sampling. Atmospheric Particle Size Distribution. SMPS (10-500 nm) and APS (0.5-20 um). PM10 aerosol low volume sampling for determination of ions and metals: continuous 24/48h resolution samplings. Multi-stage impactor (Dekati 4-stage: < 1 um - > 10 um) for measurement of ion composition: 4-day resolution sampling. PM10 medium volume sampling for determination of metal content and Pb isotope ratios: 4-d resolution samplings. PM10 on quartz filters for determination of Elemental od Organic Carbon (EC/OC): continuous 24/48 h resolution samplings. PM10 aerosol low volume sampling on PTFE for elemental determination by PIXE technique.

This proposal will focus on eutrophication, contaminants, marine litter and underwater noise descriptors of the MSFD. Vertical acquisition in 18 CTD station in Kongsfjorden with water sampling at 2-3 depths (surface, intermediate, bottom) for nutrient and pH analyses of sampled water in the lab

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. Turbulent parameters are measured at the Amundsen-Nobile Climate Change Tower (CCT) by means of a Gill R3 sonic anemometer installed at 7.5 m from the ground since 2010. It measures the three components of the wind (u, v and w) and the sonic temperature at a rate of 20 Hz. These micro-meteorological measurements are complemented by standard meteorological ones at 4 levels: 2, 5, 10 and 33 m (acquisition time step equal to 1 minute). From these measurements, sensible heat flux, friction velocity and roughness length are calculated. Wind components and sonic temperature measurements were used to estimate friction velocity and kinematic heat flux. Before computing the micrometeorological parameters, a preliminary analysis is applied in order to assess the data quality and to remove low quality records. After the quality analysis application, mean values of the turbulence statistics were computed following two coordinate rotations to ensure the mean lateral and vertical velocities were zero (McMillen, 1988). Half-hour turbulent statistics (heat fluxes and friction velocity) were derived using two time-scales: a standard averaging time of 30 min and a reduced one (2 min) necessary for filtering out submeso motions contributions that can greatly alter the estimation of turbulent fluxes in a strong and long-lived stable BL. The short averaging time scale was evaluated on the basis of spectral analysis of data in order to include all turbulent scales, but excluding submeso motions (larger than turbulence). The turbulent statistics evaluated over the short subsets and then re-averaged over 30 min following Vickers and Mahrt (2006). Turbulent parameter relative to unfavorable wind direction ([150÷270] degrees) for which the tower was upwind of the sonic anemometer were not discarded but are flagged (flagdir=1) in the final dataset. More, the percentage of NaNs relative to each run is indicated. The wind speed vertical profile measured by slow response standard meteorological anemometers at 2, 5, 10 and 33 m was used for estimating the roughness length assuming a typical log wind profile under statically neutral conditions. Mahrt, L., 1998. Flux Sampling Errors for aircraft and towers. J. Atmos. Ocean. Technol. 15, 416-429. Mc Millen, R.T., 1988. An Eddy correlation technique with extended applicability to non-simple terrain. Boundary-Layer Meteorol. 43, 231-245. Vickers D, Mahrt L. 2006. A solution for flux contamination by mesoscale motions with very weak turbulence. Boundary-Layer Meteorol. 118: 431–447. https://doi.org/10.1007/s10546-005-9003-y. Zahn, E., Chor, T.L., Dias, N. L., 2016. A Simple Methodology for Quality Control of Micrometeorological Datasets. American Journal of Environmental Engineering 6(4A): 135-142 DOI: 10.5923/s.ajee.201601.20.

Ultraviolet Irradiance Variability in the Arctic U-VIVA Dataset contains results of the observed at 4 Svalbard stations ozone depletion episode that took place in the spring 2020 and its effect on the ultraviolet solar radiation reaching the ground. The ozone column was registered by Brewer #050 spectroradiometer, GUV and UV-RAD filter radiometers all operating in Ny-Ålesund, and by M-124 ozonometer working in Barentsburg. The solar radiation in UV-B, UV-A and erythemal UVE spectral bands that are impacted by the ozone column was measured by GUV and UV-RAD radiometers at Ny-Ålesund and, by UVS-E-T and UVS-AE-T Kipp & Zonen radiometers operating in Longyearbyen and Hornsund, respectively. An analysis of the data is presented in the 2021 SESS report published by Svalbard Integrated Arctic Earth Observing System (SIOS).

Timeseries recorded at the mooring S1, at nominal depth of 1000 m during different deployments. The scope of the measurements is to study the temporal variability of the thermohaline properties of the Norvegian Deep Water, and assosiated deep flow

Aerosol scattering at 1 wavelength (530 nm) measured using a nephelometer M903, manufactured by Radiance Research.

The Climate Change Tower Integrated Project (CCT-IP) reflects the priorities of Italian Arctic research and aims to investigate the interactions among all components of the Arctic climate system. The Amundsen-Nobile Climate Change Tower (CCT) serves as the project’s central infrastructure, providing continuous measurements of atmospheric parameters at multiple heights and at the critical interface between the surface and the atmosphere. A SPN1 net radiometer, installed at a height of 33 m in 2023, is used to measure the radiation partition between incoming direct and diffuse irradiance. Previously, in 2009, a combination of sensors—including a CNR1 net radiometer at 33 m and CM11 and CG4 sensors at 25 m—was deployed for the same purpose. Radiation data are processed to provide 30-minute averages (μ) and standard deviations (σ), along with derived products such as total net radiation and an indication of sun presence. These data will be available for download. Additionally, 1-minute resolution data are available for download upon request.