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Nov 9, 2026 - Automatic weather stations
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, V41
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 - 101.9 KB -
MD5: d3130a455cd0687bf1181379fdf3bc61
Uploaded with pyDataverse 2026-11-07 03:09 |
Comma Separated Values - 3.7 KB -
MD5: b22be5a7ceb2f7d95ba495fbbd288feb
Uploaded with pyDataverse 2026-11-07 03:08 |
Comma Separated Values - 6.6 KB -
MD5: 92bbff7f37050811732cf34a74266cf1
Uploaded with pyDataverse 2026-11-07 03:08 |
Comma Separated Values - 14.0 KB -
MD5: 85913b102898e693573009b2f7ceada0
Uploaded with pyDataverse 2026-11-07 03:07 |
Comma Separated Values - 2.8 MB -
MD5: bb6ee662b787e85525fc35353aa2f192
Uploaded with pyDataverse 2026-11-07 02:26 |
Network Common Data Form - 2.0 MB -
MD5: f4565a283c2825eedd32ac630fceb424
Uploaded with pyDataverse 2026-11-07 02:26 |
Comma Separated Values - 68.4 MB -
MD5: f384733586aa0b5ab1d227cc1d9b876b
Uploaded with pyDataverse 2026-11-07 02:24 |
Network Common Data Form - 27.7 MB -
MD5: 220d1b918887d9c5bd8adbd20a9c0564
Uploaded with pyDataverse 2026-11-07 02:25 |
Comma Separated Values - 98.1 KB -
MD5: 35705e90d825b11c1343ca960ae42d5e
Uploaded with pyDataverse 2026-11-07 02:25 |
