TY - JOUR
T1 - PROMICE | GC-NET automatic weather station data
AU - Fausto, Robert S.
AU - How, Penelope
AU - Vandecrux, Baptiste
AU - Lund, Mads C.
AU - Box, Jason E.
AU - Mankoff, Kenneth D.
AU - Andersen, Signe B.
AU - van As, Dirk
AU - Bahbah, Rasmus
AU - Citterio, Michele
AU - Colgan, William
AU - Jakobsgaard, Henrik T.
AU - Karlsson, Nanna B.
AU - Kjeldsen, Kristian K.
AU - Larsen, Signe H.
AU - Olsen, Charlotte
AU - Oraschewski, Falk M.
AU - Rutishauser, Anja
AU - Shields, Christopher L.
AU - Solgaard, Anne M.
AU - Stevens, Ian T.
AU - Svendsen, Synne H.
AU - Langley, Kirsty
AU - Messerli, Alexandra
AU - Bjørk, Anders A.
AU - Andersen, Jonas K.
AU - Abermann, Jakob
AU - Steiner, Jakob
AU - Prinz, Rainer
AU - Hynek, Berhard
AU - Lea, James M.
AU - Brough, Stephen
AU - Ahlstrøm, Andreas P.
N1 - Publisher Copyright:
© 2026 Robert S. Fausto et al.
PY - 2026/4/22
Y1 - 2026/4/22
N2 - We present a new version of the PROMICE | GC-NET automatic weather station (AWS) data product, combining observations from two Greenland AWS networks; PROMICE and GC-NET. As of late 2025, the dataset integrates records from 52 active and historical AWS sites across the Greenland Ice Sheet, peripheral glaciers and land areas. This new version includes improvements in station design, sensor configuration, and data processing. Two primary station types are used: dual-boom masts in the accumulation area, and free-standing tripods with a single instrument boom in the ablation area. Data are processed with pypromice, an open-source Python package designed for standardized, transparent, and reproducible work-flows, including calibration, filtering, variable derivation, and correction. The resulting products are distributed in CF-compliant NetCDF and CSV formats and include both measured and derived variables for applications in polar meteorology, climatology, and glaciology. Access is open under license CC-BY 4.0. A GitHub-based issue tracker (https://github.com/GEUS-Glaciology-and-Climate/PROMICE-AWS-data-issues, last access: 12 November 2025) supports community-driven quality control within a living data framework. The datasets are openly available at https://doi.org/10.22008/FK2/IW73UU (How et al., 2022a).
AB - We present a new version of the PROMICE | GC-NET automatic weather station (AWS) data product, combining observations from two Greenland AWS networks; PROMICE and GC-NET. As of late 2025, the dataset integrates records from 52 active and historical AWS sites across the Greenland Ice Sheet, peripheral glaciers and land areas. This new version includes improvements in station design, sensor configuration, and data processing. Two primary station types are used: dual-boom masts in the accumulation area, and free-standing tripods with a single instrument boom in the ablation area. Data are processed with pypromice, an open-source Python package designed for standardized, transparent, and reproducible work-flows, including calibration, filtering, variable derivation, and correction. The resulting products are distributed in CF-compliant NetCDF and CSV formats and include both measured and derived variables for applications in polar meteorology, climatology, and glaciology. Access is open under license CC-BY 4.0. A GitHub-based issue tracker (https://github.com/GEUS-Glaciology-and-Climate/PROMICE-AWS-data-issues, last access: 12 November 2025) supports community-driven quality control within a living data framework. The datasets are openly available at https://doi.org/10.22008/FK2/IW73UU (How et al., 2022a).
UR - https://www.scopus.com/pages/publications/105037525767
U2 - 10.5194/essd-18-2829-2026
DO - 10.5194/essd-18-2829-2026
M3 - Article
AN - SCOPUS:105037525767
SN - 1866-3508
VL - 18
SP - 2829
EP - 2873
JO - Earth System Science Data
JF - Earth System Science Data
IS - 4
ER -