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Sep 6, 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, V40
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 2026-09-01 17:19 |
Comma Separated Values - 3.7 KB -
MD5: 246c9a3d84fea2530bf3ade20a54f245
Uploaded with pyDataverse 2026-09-01 17:19 |
Comma Separated Values - 6.3 KB -
MD5: 8b35b882fc7cdcc91e8df33621e617e6
Uploaded with pyDataverse 2026-09-01 17:19 |
Comma Separated Values - 2.8 MB -
MD5: 32cd3eb429483b66044219ad71c7c5c3
Uploaded with pyDataverse 2026-09-01 16:32 |
Network Common Data Form - 2.0 MB -
MD5: 8c203d67538c47ff3576c138eab99420
Uploaded with pyDataverse 2026-09-01 16:32 |
Comma Separated Values - 68.1 MB -
MD5: c0f7944caec4e268f1487a46851f207a
Uploaded with pyDataverse 2026-09-01 16:30 |
Network Common Data Form - 27.2 MB -
MD5: 1f0264922cbde1819e82e72e7ecfccb9
Uploaded with pyDataverse 2026-09-01 16:31 |
Comma Separated Values - 97.9 KB -
MD5: 433d19e5734c8d329e9680a8a986b5a9
Uploaded with pyDataverse 2026-09-01 16:31 |
Network Common Data Form - 510.2 KB -
MD5: 73edd19d7c10531c470b4480b72fa4ea
Uploaded with pyDataverse 2026-09-01 16:33 |
