The seasonality of precipitation on the eastern Antarctic plateau (Dome-C) as derived from LIDAR and ICECAMERA

Antarctica's high latitudes are a challenging place to study precipitation. Despite this, direct monitoring of the habit and size of high-latitude precipitation is crucial for validating the algorithms used to derive precipitation information from radar, and for improving the climatological modeling of polar areas. Precipitation study is primarily done in coastal Antarctica (e.g. Grazioli et al.,2017 ), while the high plateau lacks long-term direct observation of precipitation. A first statistical analysis of precipitation at Concordia Station (-75°S, 123°E, Antarctica) was performed by Del Guasta et al (2024) making possible the study, over the period 2014-2021, of the habit-resolved size of ice crystals for ten representative ice habits, the altitude and temperature of formation, and the composition in terms of ice habits for different precipitation sources. In the present work, based on the same data set, the seasonal variations of habit-resolved grain size and habit composition were investigated. The seasonality of diamond dust's contribution to total precipitation was examined. The knowledge of the altitude of precipitation formation allowed the calculation of HYSPLIT backtrajectories for each precipitation event. For the first time, measurements instead of modeling were used to obtain the pathways of precipitation reaching Concordia Station. The seasonal variations of these pathways were also examined.

Authors

Institutions

Publication Details

Journal
Polar Science
Published
2025-08-27
DOI
https://doi.org/10.1016/j.polar.2025.101265
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The seasonality of precipitation on the eastern Antarctic plateau (Dome-C) as derived from LIDAR and ICECAMERA

Massimo Del Guasta
Polar Science
Atmospheric and Environmental Gas Dynamics
article

The seasonality of precipitation on the eastern Antarctic plateau (Dome-C) as derived from LIDAR and ICECAMERA

Massimo Del Guasta
article en

Abstract

Antarctica's high latitudes are a challenging place to study precipitation. Despite this, direct monitoring of the habit and size of high-latitude precipitation is crucial for validating the algorithms used to derive precipitation information from radar, and for improving the climatological modeling of polar areas. Precipitation study is primarily done in coastal Antarctica (e.g. Grazioli et al.,2017 ), while the high plateau lacks long-term direct observation of precipitation. A first statistical analysis of precipitation at Concordia Station (-75°S, 123°E, Antarctica) was performed by Del Guasta et al (2024) making possible the study, over the period 2014-2021, of the habit-resolved size of ice crystals for ten representative ice habits, the altitude and temperature of formation, and the composition in terms of ice habits for different precipitation sources. In the present work, based on the same data set, the seasonal variations of habit-resolved grain size and habit composition were investigated. The seasonality of diamond dust's contribution to total precipitation was examined. The knowledge of the altitude of precipitation formation allowed the calculation of HYSPLIT backtrajectories for each precipitation event. For the first time, measurements instead of modeling were used to obtain the pathways of precipitation reaching Concordia Station. The seasonal variations of these pathways were also examined.

Polar ScienceVol. 46
National Institute of Optics (IT)
Climate action
Openalex Percentile: Top 79%
Atmospheric and Environmental Gas Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.