{"id":683,"date":"2023-09-11T13:28:32","date_gmt":"2023-09-11T13:28:32","guid":{"rendered":"https:\/\/awaca.ipsl.fr\/?page_id=683"},"modified":"2026-01-08T17:29:27","modified_gmt":"2026-01-08T17:29:27","slug":"publication","status":"publish","type":"page","link":"https:\/\/awaca.ipsl.fr\/en\/publication\/","title":{"rendered":"Publications"},"content":{"rendered":"\t\t
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PUBLICATIONS<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Publications AWACA<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\tJanvier 2026\t<\/div>\n\t\t\t\t\t

\n\t\t\t\n\t\t\ud83d\udcc4 [Article] Intermediate-complexity parameterisation of blowing snow in the ICOLMDZ AGCM: development and first applications in Antarctica (Vignon et al., 2026)\t\t\t<\/a>\n\t\t<\/h4>\n\t\t\t\t\t

\n\t\tThe erosion of surface snow by the wind is an important process for the Antarctic surface mass balance. This study presents the first development of a parameterisation of blowing snow for a global climate model. Simulations avec evaluated using measurements in Antarctica. Results show an overall decrease of the snow accumulation in the escarpment region of the ice sheet due to snow erosion and an increase at the coast due to blowing snow deposition and increase in precipitation.\t<\/p>\n\t\t\t<\/div>\n\t<\/div>\n<\/div>\n

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\n\t\tNovembre 2025\t<\/div>\n\t\t\t\t\t

\n\t\t\t\n\t\t\ud83d\udcc4 [Article] An extensive investigation of the ability of the ICOLMDZ model to simulate a katabatic wind event in Antarctica (Wiener et al., 2025)\t\t\t<\/a>\n\t\t<\/h4>\n\t\t\t\t\t

\n\t\tKatabatic winds are a key feature of the climate of Antarctica, but substantial biases remain in their representation in atmospheric models. This study investigates a katabatic wind event in an atmospheric circulation model using in-situ observations. The framework allows to disentangle which part of the bias is due to horizontal resolution, to parameter calibration and to structural deficiencies in the model. We underline in particular the need to refine the physics of the model snow cover.\t<\/p>\n\t\t\t<\/div>\n\t<\/div>\n<\/div>\n

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\n\t\tOctobre 2025\t<\/div>\n\t\t\t\t\t

\n\t\t\t\n\t\t\ud83d\udcc4 [Article] Time series of the summertime atmospheric water vapour isotopic composition at Concordia station, East Antarctica (Ollivier et al., 2025)\t\t\t<\/a>\n\t\t<\/h4>\n\t\t\t\t\t

\n\t\tWe present a novel 2.5-month record of the atmospheric water vapour isotopic composition during the austral summer 2023\u20132024 at Concordia Station on the Antarctic Plateau. We show that two independent laser spectrometers accurately record the diurnal variability of the atmospheric water vapour \ud835\udeff18O, \ud835\udeffD, and d-excess. We compare the measurements against outputs of the isotope-enabled general circulation model LMDZ6-iso to show how the data can be used to evaluate such models.\t<\/p>\n\t\t\t<\/div>\n\t<\/div>\n<\/div>\n

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\n\t\tAo\u00fbt 2025\t<\/div>\n\t\t\t\t\t

\n\t\t\t\n\t\t\ud83d\udcc4 [Rapport de stage] Caract\u00e9risation des pr\u00e9cipitations Antarctiques : \u00e9tude de cas, m\u00e9thodes statistiques de croisement de donn\u00e9es de diff\u00e9rents instruments de t\u00e9l\u00e9d\u00e9tection depuis la surface\t\t\t<\/a>\n\t\t<\/h4>\n\t\t\t\t\t

\n\t\tDans le cadre de son projet de recherche \u00e0 l\u2019ENSTA, Maxime Coste a \u00e9valu\u00e9 la repr\u00e9sentativit\u00e9 d\u2019un \u00ab golden \u00e9v\u00e8nement \u00bb AWACA s\u00e9lectionn\u00e9 en f\u00e9vrier 2025 \u00e0 partir de 15 ann\u00e9es de donn\u00e9es MRR (Micro Rain Radar) \u00e0 Dumont d'Urville, et a explor\u00e9, via des m\u00e9thodes d\u2019intelligence artificielle appliqu\u00e9es aux mesures de ceilom\u00e8tre, comment compl\u00e9ter la zone aveugle du MRR en surface.\t<\/p>\n\t\t\t<\/div>\n\t<\/div>\n<\/div>\n

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\n\t\tJuillet 2025\t<\/div>\n\t\t\t\t\t

\n\t\t\t\n\t\t\ud83d\udcc4 [Preprint in review] Water vapour isotope anomalies during an atmospheric river event at Dome C, East Antarctica (Dutrievoz et al., 2025)\t\t\t<\/a>\n\t\t<\/h4>\n\t\t\t\t\t

\n\t\tIn December 2018, an atmospheric river event from the Atlantic reached Dome C, East Antarctica, causing a +18\u202f\u00b0C warming, tripled water vapour, and a strong isotopic anomaly in water vapour (+ 17 \u2030 for \u03b418O) at the surface. During the peak of the event, we found 70\u202f% of the water vapour came from local snow sublimation, and 30\u202f% from the atmospheric river itself, highlighting both large-scale advection and local interactions at the surface.\t<\/p>\n\t\t\t<\/div>\n\t<\/div>\n<\/div>\n

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\n\t\tMars 2025\t<\/div>\n\t\t\t\t\t

\n\t\t\t\n\t\t\ud83d\udcc4 [Article] OF\u2013CEAS laser spectroscopy to measure water isotopes in dry environments: example of application in Antarctica (Lauwers et al., 2025)\t\t\t<\/a>\n\t\t<\/h4>\n\t\t\t\t\t

\n\t\tWater vapour isotopes are important tools to better understand processes governing the atmospheric hydrological cycle. In polar regions, their measurement helps to improve the interpretation of water isotopic records in ice cores. However, in situ water vapour isotopic monitoring is an important challenge, especially in dry places of East Antarctica. We present here an alternative laser spectroscopy technique adapted for such measurements, with a limit of detection down to 10 ppm humidity.\t<\/p>\n\t\t\t<\/div>\n\t<\/div>\n<\/div>\n

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\n\t\tF\u00e9vrier 2025\t<\/div>\n\t\t\t\t\t

\n\t\t\t\n\t\t\ud83d\udcc4 [Article] Antarctic Water Stable Isotopes in the Global Atmospheric Model LMDZ6: From Climatology to Boundary Layer Processes (Dutrievoz et al., 2025)\t\t\t<\/a>\n\t\t<\/h4>\n\t\t\t\t\t

\n\t\tThe transport of water isotopes by the atmosphere plays a key role in interpreting Antarctic climate archives. This study evaluates the LMDZ6iso atmospheric model using snow, precipitation and vapour isotope measurements from both coastal and inland East Antarctica. The model is assessed at spatial, seasonal and diurnal scales, and the contribution of individual processes to boundary layer vapour isotopes is analysed. Results highlight the importance of isotopic exchanges during sublimation and condensation at low temperature, and suggest that including these processes would improve the representation of water isotopes in climate models.\t<\/p>\n\t\t\t<\/div>\n\t<\/div>\n<\/div>\n

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\n\t\tOctobre 2024\t<\/div>\n\t\t\t\t\t

\n\t\t\t\n\t\t\ud83d\udcc4 [Article] Designing a Fully-Tunable and Versatile TKE-l Turbulence Parameterization for the Simulation of Stable Boundary Layers (Vignon et al., 2024)\t\t\t<\/a>\n\t\t<\/h4>\n\t\t\t\t\t

\n\t\tThis study introduces a new fully tunable TKE-l parameterization for turbulent diffusion in planetary atmospheres. The scheme is designed with a minimal set of adjustable parameters and a mixing length formulation that accounts for both stability and wind shear, making it applicable to Earth and Mars. Emphasis is placed on ensuring numerical stability at large time steps, a key challenge in simulating stable boundary layers. After calibration on idealized 1D cases, the parameterization successfully reproduces Antarctic and Martian nocturnal boundary layers in 3D simulations, demonstrating its robustness and versatility.\t<\/p>\n\t\t\t<\/div>\n\t<\/div>\n<\/div>\n

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\n\t\tJuillet 2024\t<\/div>\n\t\t\t\t\t

\n\t\t\t\n\t\t\ud83d\udcc4 [Rapport de stage] Nuages antarctiques : \u00e9valuation du mod\u00e8le LMDZ \u00e0 partir d'observations satellitaires\t\t\t<\/a>\n\t\t<\/h4>\n\t\t\t\t\t

\n\t\tDans le cadre de son stage de M2, Justine Charrel a \u00e9valu\u00e9 la couverture nuageuse au-dessus de l\u2019Antarctique dans la derni\u00e8re version du mod\u00e8le climatique LMDZ6A \u00e0 partir des observations du satellite CALIPSO.\t<\/p>\n\t\t\t<\/div>\n\t<\/div>\n<\/div>\n

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\n\t\tMai 2024\t<\/div>\n\t\t\t\t\t

\n\t\t\t\n\t\t\ud83d\udcc4 [Article] Understanding the drivers of near-surface winds in Ad\u00e9lie Land, East Antarctica (Davrinche et al., 2024)\t\t\t<\/a>\n\t\t<\/h4>\n\t\t\t\t\t

\n\t\tCoastal surface winds in Antarctica are amongst the strongest winds on Earth. They are either driven by the cooling of the surface air mass by the ice sheet (katabatic) or by large-scale pressure systems. Here we compute the relative contribution of these drivers. We find that seasonal variations in the wind speed come from the katabatic acceleration, but, at a 3-hourly timescale, none of the large-scale or katabatic accelerations can be considered as the main driver.\t<\/p>\n\t\t\t<\/div>\n\t<\/div>\n<\/div>\n\t<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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