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.

Continuous Vis-Near IR Characterization of snow-ice surface in Ny-Ålesund (SnowIceCReM) The activity foreseen for 2015-2020 includes: continuous full-range reflectance measurements; continuous multispectral observations; ground-truth survey on snow surfaces. The first part of the activity is attempted to replicate the experiment carried out in 2014 where a VNIR spectroradiometer were deployed at the CCT. Hardware upgrades will be coupled with the addition of some position and optical reference targets. An hemispheric webcam will acquire high resolution sky and ground images to support the experiment in terms of cloud and snow cover/roughness characterization, and to provide a quality check of the rotating support position by means of the above mentioned specific targets. The availability of such accessory information will help on selecting a homogeneous spectral albedo dataset. The same quality check approach will be used also for the deployment of a second instrument that will be developed in order to obtain fixed band albedo at 860, 1240 and 1640 nm. Both measurements will be hemispheric, in the 350-2500nm wavelength range. While the first set up obtains asynchronous spectral albedo, the second one provides synchronous spectral albedo on bands selected considering sensors deployed on satellites. The final task will be persecuted with a ground-truth survey focused on calibrating the two different hemispherical receivers with bidirectional observations.

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.

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.

Aerosol scattering coefficient at 1 wavelength (530 nm) measured using a nephelometer M903 manufactured by Radiance Research and absorption coefficient at 7 wavelengths (370, 470, 520, 590, 660, 880, 950 nm) measured using an AETHALOMETER AE33 from Aerosol Magee Scientific.

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. 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).

Snow sampling every week near Gruvebadet (Svalbard)

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.

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