Vertical profiles along the first three kilometres of atmosphere above the ground (from 300 to 3000 m a.g.l.) of equivalent radar reflectivity factor (Ze), Doppler velocity (W) and Doppler spectral width (Sw) from a 24-GHz vertically pointing Micro Rain Radar MRR-2 by METEK GmbH positioned at Concordia Station (Dome C, Antarctica). The main objective of the FIRCLOUDS project is a complete spectral characterization of cirrus and mixed phase clouds in order to evaluate the radiative models in the FIR regime, where the clouds effect is very strong, and systematic spectral measurements are scarcely available. The micro rain radar (MRR) data allows the determination of the clouds reflectivity and the vertical velocity of ice crystals in the cases of precipitating clouds.

Pictures of the ice camera and the halo camera positioned at Concordia Station (Dome C, Antarctica). Data are available on the INO-CNR server on request to Dr. Massimo Del Guasta. The main objective of the FIRCLOUDS project is a complete spectral characterization of cirrus and mixed phase clouds in order to evaluate the radiative models in the FIR regime, where the clouds effect is very strong, and systematic spectral measurements are scarcely available. The ice and halo imager cameras enable an assessment of the cloud ice crystals micro-physics.

Antarctic ecosystems have a high number of species, that are closely linked to the presence of sea ice and seasonal cycles. This biodiversity is subject to anthropogenic and natural influences. Zooplankton communities can provide a static snapshot of the health of the ecosystem. Zooplankton samples were collected with a 200 μm mesh net at 3 different sampling points at 80 m depth.

Backscattering and depolarization data from a LIDAR positioned at Concordia Station (Dome C, Antarctica). Data are available on the INO-CNR server on request to Dr. Massimo Del Guasta. The main objective of the FIRCLOUDS projectis a complete spectral characterization of cirrus and mixed phase clouds in order to evaluate the radiative models in the FIR regime, where the clouds effect is very strong, and systematic spectral measurements are scarcely available. A backscattering/depolarization lidar contributes to the estimation of the clouds position and phase, and of the optical extinction profile.

The lidar observatory at Mcmurod, was one of the primary stations of the NDACC network (Network for the Detection of Atmospheric Composition Change) from 2004 to 2010. The lidar observes polar stratospheric clouds at a height between 12 and 26 km typically, from early June until the end of Settember. These PSCs play an important role in the ozone chemistry and promote the depletion of the stratospheric ozone layer. The lidar can detect even very thin PSC layers and can provide important information about their chemical composition. The lidar can be used to study formation and dynamical processes and to provide long term records useful for climate studies.

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

The lidar observatory at Dome C, Concordia station, is one of the primary stations of the NDACC network (Network for the Detection of Atmospheric Composition Change). Since 2014 the lidar observes polar stratospheric clouds at a height between 12 and 26 km typically, from early June until the end of Settember. These PSCs play an important role in the ozone chemistry and promote the depletion of the stratospheric ozone layer. The lidar can detect even very thin PSC layers and can provide important information about their chemical composition. The lidar can be used to study formation and dynamical processes and to provide long term records useful for climate studies.

Anthropogenic microparticles (AMs) were found for the first time in specimens of Trematomus bernacchii collected in 1998 in the Ross Sea (Antarctica) and stored in the Antarctic Environmental Specimen Bank. Most of the identified AMs were fibers of natural and synthetic origin. The natural AMs were cellulosic, the synthetic ones were polyester, polypropylene, polypropylene/polyester, and cellulose acetate. The presence of dyes in the natural AMs indicates their anthropogenic origin. Five industrial dyes were identified by Raman spectroscopy with Indigo occurring in most of them (55%). Our research not only adds further data to the ongoing knowledge of pollution levels in the Antarctic ecosystem, it provides an interesting snapshot of the past, highlighting that microplastics and anthropogenic fiber pollution had already entered the Antarctic marine food web at the end of the ‘90 s. These findings therefore establish the foundations for understand the changes in marine litter pollution over time.

We will collect oral samples from the volunteers at the Mario Zucchelli Station at different time points, using safe and not harmfull kits. Samples will be analysed by shotgun metagenomic sequencing, considering only the microbial component.

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)