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.

Ionospheric Scintillations Arctic Campaign Coordinated Observations (ISACCO) The aim of ISACCO is to perform a scintillation measurements campaign by a GNSS Ionospheric Scintillation and TEC Monito) at Ny-Ålesund and Longyearbyen (Svalbard, Norway). The System consists of dual-frequency receiver with special firmware specifically configured to measure amplitude and phase scintillation. Starting from the end of 2015 a Septentrio PolaRxS_PRO receiver has been installed in one of the two observation sites in Svalbard, NyÅlesund, for the observation of all the available satellite constellations GALILEO, GPS, GLONASS at the Svalbard longitude.

Atmospheric Gondola for Aerosol Profiles (AGAP) The scientific goals of AGAP are to develop novel aerosol payloads and evaluate the vertical distribution of aerosol properties in the Arctic Boundary Layer. Dataset consists in Aerosol vertical profiles gridded at a 50 m spatial resolution: R, T, P, RH, Aerosol size distribution, BC concentration, O3. Maximum altitudes 1500 m.

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.

Holocene environmental change on Svalbard (HOLS) The aim of this international umbrella project is to study the variation of environment and climate in Svalbard during the Holocene. At the moment no integrated temperature or precipitation record exists for the entire Holocene on Svalbard. We aim to reconstruct temperature and precipitation for the Holocene by using a combination of lake sediment records, proglacial lakes and glacial moraine records. By analysing proxies as chironomids, alkenones, macro fossils and DNA temperatures can be reconstructed. Proglacial lake sediments and glacial moraine records help to reconstruct former ELA of glaciers and can be used to reconstruct precipitation records in combination with available temperature records.

RIS: 11028 Spatial Distributions of Black Carbon and Mineral Dust in Air and Snow Surface Layers upon Svalbard Glaciers (BC-3D) Project Start: 2018-03-01 End: 2020-06-30 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 gridded at a 50 m spatial resolution: R, T, P, RH, Aerosol size distribution, BC concentration. Maximum altitudes 1500 m.

Atmospheric Gondola for Aerosol Profiles (AGAP) The scientific goals of AGAP are to develop novel aerosol payloads and evaluate the vertical distribution of aerosol properties in the Arctic Boundary Layer. Dataset consists in Aerosol vertical profiles gridded at a 50 m spatial resolution: R, T, P, RH, Aerosol size distribution, BC concentration, O3. 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.

Arctic Present Climate Change and Past Extreme Events (ARCA) The data refer to rock magnetic and paleomagnetic measurements taken at a 1-cm spacing on u-channel samples collected from piston cores from the continental platform and slope of the NW Barents Sea. Measurements were carried out in the paleomagnetic laboratory of INGV in Rome, using a superconducting rock magnetometer installed in a magnetically shielded room.

Aerosol size distribution (>500 nm) measured by a SMPS 3321 (TSI).