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PROMICE | GC-NET automatic weather station data

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1 Citationer (Scopus)

Resumé

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).

OriginalsprogEngelsk
Sider (fra-til)2829-2873
Antal sider45
TidsskriftEarth System Science Data
Vol/bind18
Udgave nummer4
DOI
StatusUdgivet - 22 apr. 2026

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  1. Verdensmål 13 - Klimaindsats
    Verdensmål 13 Klimaindsats

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  • Programområde 5: Natur og klima

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