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.

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Climate-Cryosphere-Carbon interactions in Kongsfjorden, Svalbard (C3) Use sediment cores as archives of climate-induced destabilizations in the fjord. By targeting well known past climate changes (MWP and LIA) we will understand how the C3 system varied during natural warming and cooling events. Retrieve of two sediment cores in Kongsfjorden, in summer 2017, to encompass the last 1k years.

ISotopic and physical-chemical MOnitoring of GLACial drainages and sea water in the Ny-Ålesund area (Svalbard) The data are related to in-situ measurements of the physical-chemical parameters (temperature, electrical conductivity, pH, alkalinity), performed by portable device during summer period, starting from the higher sector of the glaciers (Midtre Lovenbreen, Austre broggerbreen, Vestre Broggerbreen, Kongsvegen, Pedersenbreen), where the first melt water is encountered, continuing towards the glaciers terminus, both laterally and centrally, and downstream, on the proglacial rivers, up to the sea.

Atmospheric Gondola for Aerosol Profiles (AGAP) Developing novel aerosol payloads and evaluate the vertical distribution of aerosol properties in the Arctic Boundary Layer. 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, O3. Maximum altitudes 1500 m.

Aerosol sampling by a High-Volume Sampler (TECORA eco-highvol equipped with digital PM1 sampling inlet, nominal flow 500 lpm) for the collection of ambient aerosol particles with aerodynamic diameter < 1 μm (PM1) on pre-washed and pre-baked quartz-fiber filters (PALL, Ø= 18cm). Sampling time: 3-4 days per sample. A multi-technique analytical approach for the characterization of the sampled organic aerosol: Organic matter (OM) and Organic Nitrogen (ON). Analytical techniques employed are based on nuclear magnetic resonance spectroscopy (NMR) and Aerosol Mass Spectrometry (HR-TOF-AMS applied off-line) for the OM characterization, C and N elemental analysis (CN-EA) and ion chromatography (IC) for inorganic ions and alkyl-amines. -NMR functional groups (Aromatics, anomeric/vynilic, H-C-O, H-C-C=, H.C) -NMR tracers: Levoglucosan, Methane-sulphonic acid (MSA), Hydroxymethane-sulphonic acid (HMSA), Amines (mono-, di- and tri-methyl amines, etc.) -HR-TOF-AMS (off-line): main species (Org, SO4, NO3, NH4, Chl), elemental ratios (OM:OC, O:C, H:C) & tracer fragments (m/z43, 44, 60 etc.) -NMR & AMS OA source apportionment

The automated nivological station was installed in November 2020 in a flat area over the tundra about 80 meters far from the Gruvebadet Atmospheric Laboratory and nearby a snow sampling site from where weekly snow samples are collected for chemical analysis. Sensors (Pt100 1/3 DIN) have been calibrated by their companies before installation and are connected to a datalogger for continuous acquisition. For all the parameters, data are logged with 10-minute time resolution and then averaged over 1 hour. This activity is carried out by the Aldo Pontremoli Centre part of the Joint Research Agreement ENI-CNR, in the framework of the SnowCorD project (SIOS Core Data).

EEE@NYALESUND (EEENYA) The Dataset contains flux of cosmic rays measured at different locations at Ny Alesund. Each cosmic ray event will be tagged in time using GPS. Cosmic rays data will be correlated with atmoshperic conditions, also contained in the dataset. Measurement site: Ny Alesund: 1. Dirigibile Italia Station, 2. Gruvbadet laboratory, 3. close to the Amundsen-Nobile tower

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.