| Title: |
PROMICE | GC-NET automatic weather station data |
| Authors: |
Fausto, Robert S.; How, Penelope; Vandecrux, Baptiste; Lund, Mads C.; Box, Jason E.; Mankoff, Kenneth D.; Andersen, Signe B.; As, Dirk; Bahbah, Rasmus; Citterio, Michele; Colgan, William; Jakobsgaard, Henrik T.; Karlsson, Nanna B.; Kjeldsen, Kristian K.; Larsen, Signe H.; Olsen, Charlotte; Oraschewski, Falk; Rutishauser, Anja; Shields, Christopher L.; Solgaard, Anne M.; Stevens, Ian T.; Svendsen, Synne H.; Langley, Kirsty; Messerli, Alexandra; Bjørk, Anders A.; Andersen, Jonas K.; Abermann, Jakob; Steiner, Jakob; Prinz, Rainer; Hynek, Berhard; Lea, James M.; Brough, Stephen; Ahlstrøm, Andreas P. |
| Source: |
eISSN: 1866-3516 |
| Publication Year: |
2025 |
| Collection: |
Copernicus Publications: E-Journals |
| Description: |
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. The dataset integrates records from more than 50 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 workflows, 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 ) 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). |
| Document Type: |
text |
| File Description: |
application/pdf |
| Language: |
English |
| DOI: |
10.5194/essd-2025-687 |
| Availability: |
https://doi.org/10.5194/essd-2025-687; https://essd.copernicus.org/preprints/essd-2025-687/ |
| Accession Number: |
edsbas.5E8F6855 |
| Database: |
BASE |