This dataset contains a selection of bias-corrected data from the preoperational MiKlip system for decadal climate predictions (Mueller et al., 2018) used within the project PNRA18_00199-IPSODES. The adopted method for bias correction is described in the file bias_correction.pdf attached to the dataset. Also data from the assimilation run are provided. Nomenclature of variables follows that of the original MiKlip output. Mueller, W., et al. A Higher‐resolution Version of the Max Planck Institute Earth System Model (MPI‐ESM1.2‐HR). J. Adv. Model. Earth Syst. 10, 1383-1413 (2018)

Disdrometric data from a Thies Clima 3D Stereo with 22 size classes and 20 velocity classes positioned at L'Aquila (Italy, 42.3831 N, 13.3148 E, 683 m a.s.l.), with monthly spectra and ancillary information.

The larval stages can be considered as the link from plankton to benthos. In order to study larval recruitment from zoobenthos, 40 tiles were placed at each of the four sites outlined in the project: Tethys Bay (control), Rod Bay (area subject to anthropogenic impact), Faraglione (control) and Adelie Cove (area subject to natural impact, linked to the presence of a penguin house). Due to adverse environmental factors all the tiles from Faraglione were lost and from Tethys Bay only half were found. The tiles were analysed with the help of a binocular, which enabled better visualisation of the organisms and, consequently, better identification.

Surface ozone data, collected through a UV-absorption analyzer (49i or 49c)

Calibrated (in unit of solar disk brightness) measurements of the sky brightness at DOME C as obtained by the ESCAPE experiment during the campaign 2022-2023

TNB1 and TNB2 continuous GNSS stations There are currently two continuous GNSS stations, TNB1 and TNB2, nearby the Italian base MZS (Mario Zucchelli Station). Collected data, in RINEX format, are sent daily in Italy and are available for download at the Database page of this website. TNB1 continuous GPS station was monumented during the 1997-1998 campaign on a granite outcrop. It was originally equipped with an Ashtech Z-12 GPS receiver and an Ashtech 700936D Dorne Margolin antenna with chokering. Installed on a concrete pillar, TNB1 continuously collected data of the GPS constellation for about 17 years. In November 2015, the instrumentation was completely renewed. Currently, the station is equipped with a Leica GS25 GNSS receiver and a Leica AT504 Dorne Margolin antenna with chokering. TNB1 collect data of GPS and GLONASS constellations.

The current vision of global climatic changes stresses on the interlinked action of many factors, often more evident at regional scales. Polar regions are among the areas most sensitive to perturbations of the climate: through connections involving ocean, atmosphere, biosphere, lithosphere and cryosphere, they respond to, amplify, and drive changes elsewhere in the Earth system, so that understanding their role is essential. Peculiar characteristics of Polar Regions contribute to modify the energy and radiation budget, and the characteristics of the polar atmospheric boundary layer (ABL), increasing relevance at regional level of coupling processes between components of the climate system, especially in the coastal region. In particular, the long polar night, the sea-ice and snow coverage, favouring the persistency of stable atmospheric conditions, and the local and mesoscale circulation interactions, all affect the status and variability at different time scales of components of the regional climate system. Predicting future conditions of the polar regions is the goal of the Polar Prediction Project and of one of its key elements, the Year of Polar Prediction (YOPP, http://www.polarprediction.net/yopp.html), scheduled to take place from mid-2017 to mid-2019). This requires the scientific knowledge of their present status as well as a process-based understanding of the mechanisms of change. The parameterization of physical processes in regional and global hydrodynamical numerical models of the atmosphere is not yet enough accurate for a correct representation of all components of the climatic system and of their connections, the knowledge of which is needed to determine the role of polar regions in the global climate. As an example, more extended and integrated dataset are required to improve the parameterization of the ABL, for complex orography areas such as the polar coastal regions. The general scope of this project is to improve the understanding of the surface-atmosphere mass and energy exchanges at an Antarctic coastal site in the Ross Sea through continuous and accurate measurements of the atmospheric parameters, and development and verification of multiscale modelling, and through these activities, to address some of the relevant questions included in the roadmap for Antarctic and Southern Ocean science for the next two decades and beyond. Measurements will be carried out year-round at the new Korean Jang Bogo Antarctic Research Station (JBS), located at the coast of Terra Nova Bay, in the vicinity of the Italian Mario Zucchelli Station. Measurement and analysis of radiation components, atmospheric constituents and energy fluxes, meteorological and micrometeorological parameters, will be implemented jointly by Korea Polar Research Institute (KOPRI), CNR and UNIFI, in a way similar to the collaboration already active in the Arctic. Such implementation will be very useful to close a gap in the global climate observation system (GCOS) and contribute to WMO programs providing scientific data and information on meteorological and radiation regimes, vertical structure and chemical composition of the atmosphere.

The Concordia Research Station provides a unique location for preparatory activities for future human journey to Mars, to explore microbial diversity at subzero temperatures and monitor the dissemination of human-associated microorganisms within the pristine surrounding environment. The present study was performed in the frame of the BacFinder project (European Space Agency, ESA AO-13-Concordia) with the aim to unravel the environmental- and human-associated microbial diversity in the surrounding of the Concordia Station. This is the first intensive and extensive surface snow sampling performed monthly over a two-year period at three distances (10, 500, and 1000 m) from the Concordia Station, and investigated by a high-throughput sequencing approach. Emphasis was laid on the relation between microbial presence and both seasonality and distance from the Base. Data suggested that if present the anthropogenic impact was below the detection limit of the employed DNA sequencing-based techniques. On the other hand, our study corroborated the use of DNA sequencing for revealing microbial presence in remote and hostile environments, with implications for Planetary Protections and for life-detection in astrobiology relevant targets.

Here we present the surface snow samples collected along the international EAIIST project traverse, which took place in 2019-2020 Antarctic Campaign. We report the number of surface samples (upper 10 cm and integrated 1m samples) collected and their geographic information. The water stable isotope data of surface snow samples are published and freely available on Zenodo: https://doi.org/10.5281/zenodo.20735244

SWD and DIF solar fluxes. Institute of Polar Sciences data from a local source.