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    Mixing state and organic volume fractions of sub micron aerosol particles collected at the Zeppelin observatory

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    Arctic Present Climate Change and Past Extreme Events (ARCA) Tephra are volcanic particles that can be used as chrono-stratigraphic tool for correlating sedimentary archives once they have been identified. Marine sediments have been analyzed from the GS191-01 PC core recovered during the PREPARED CRUISE 2014 in the Arctic Sea (western of Svalbard Islands). Some of these samples resulted positive and geochemical analyses will be perfomed to determine the volcanic source and establish possible correlations with known eruptions.

  • This dataset contains data of mercury (Hg), bromine (Br), iodine (I), Manganese (Mn), sodium (Na) and mathasulphonic acid (MSA) from Svalbard (78° N, 11° E) surface snow (first 3 cm) analysez through ionic chromatography (IC) technique. The two campaigns have been respectively conducted from october 2018 to may 2019 and from october 2019 to may 2020. All the results are shown in ppb.

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    This dataset comprises measurements from moored sediment trap, collected by the mooring KIM mooring in the Krossfjord (Svalbard islands). The data was gathered at Krossfjorden, Svalbard Island, since September 2020. This dataset is also part of the SIOS-Svalbard Integrated Arctic Earth Observing System, developed to observe the impacts of climate change, including the rapid loss of sea ice cover, the retreat of local glaciers, and the Atlantification of Arctic seas. Measured properties: Total Sedimentation flux.

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    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.

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    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.

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    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.

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    Snow sampling every week near Gruvebadet (Svalbard)

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    terrestrial Photography ApplicationS on Snow covEr in Svalbard 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.