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

Aerosol size distribution (10-500 nm) measured by a APS 3321

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

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

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

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. The sensor used to measure the radiation budget and energy fluxes is a CNR1 net radiometer at 33 m of height and a CM11 and a CG4 at 25 m to measure the upwelling radiation from the surface. 30 minutes average (μ) and standard deviation (σ) of radiation data as well as products such as total net radiation average and shortwave albedo are available for the download. Data at resolution of 1 minute are available for online visualization and downloadable under request.

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. 30 minutes average (μ) and standard deviation (σ) of meteorological data are available for the download. Data at resolution of 1 minute are available for online visualization and downloadable under request.

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.

Ice Nuclei Particle Concentration (INP) Ice nucleating particle (INPs) concentration obtained in spring and summer campaigns in the Arctic Region. Sampling lines allow the aerosol particles collection onto the filters and the sampling line for the continuos measurements of size distribution with the OPC and SMPS. The aim is to improve our understanding of aerosol-cloud-climate interactions and representation of climate models.

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.