Automatic weather stations (AWS) data from both the accumulation area (two boom product) and the ablation area (one boom product) on the Greenland ice sheet. Please download the data with the highest edition number for the latest developments and data.
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Oct 9, 2025 - pypromice v1.7.0
Python Source Code - 1.2 KB - MD5: 5c1b416b13739c4f41954b0252e192db
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Python Source Code - 1.5 KB - MD5: f2c2b408c7e4b682b73136e9c98b7cfc
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Comma Separated Values - 1001 B - MD5: 5223be01a2ab6cdb43cb93e7e5dfb9c5
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Comma Separated Values - 13.9 KB - MD5: d5dc76c6daa1688ea47d3834fda102ab
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Unknown - 231 B - MD5: 83d450a466c6b478b791dd751e2b243c
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Python Source Code - 1.7 KB - MD5: 7bd8bda04e9284075dfb2044e20cc87d
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Python Source Code - 15.4 KB - MD5: 109465151254c91234b3c256c3b2665d
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 8, 2025
How, P.; Lund, M.C.; Ahlstrøm, A.P.; Andersen, S.B.; Box, J.E.; Citterio, M.; Colgan, W.T.; Fausto, R.S.; Karlsson, N.B.; Jakobsen, J.; Jakobsgaard, H.T.; Larsen, S.H.; Mankoff, K.D.; Nielsen, R.B.; Rutishauser, A.; Shield, C.L.; Solgaard, A.M.; Stevens, I.T.; van As, D.; Vandecrux, B.; Abermann, J.; Bjørk, A.A.; Langley, K.; Lea, J.; Messerli, A.; Prinz, R., 2022, "PROMICE and GC-Net automated weather station data in Greenland", https://doi.org/10.22008/FK2/IW73UU, GEUS Dataverse, V28
PROMICE and GC-Net automated weather station (AWS) data in Greenland. The data is available either as csv or netcdf files. Station locations, installation (if necessary, decommission) date, location type (tundra, ice sheet, local glacier), station type (one or two levels of measu...
Adobe PDF - 101.1 KB - MD5: be0141e96439ee84b892a169e3e94cfa
Uploaded with pyDataverse 2025-10-01 15:14
Comma Separated Values - 3.5 KB - MD5: 6e1cfa1f959922f47d69448d21ac025b
Uploaded with pyDataverse 2025-10-01 15:13
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