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May 5, 2025 - 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.; Pedersen, A.Ø.; 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.; Prinz, R., 2022, "PROMICE and GC-Net automated weather station data in Greenland", https://doi.org/10.22008/FK2/IW73UU, GEUS Dataverse, V24
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: f972e43fe5ec77f64927d3cbce6c1888
Uploaded with pyDataverse 2025-05-01 14:47 |
Comma Separated Values - 3.4 KB -
MD5: 80a9f73028ac0171b53c071b01534503
Uploaded with pyDataverse 2025-05-01 14:46 |
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MD5: d2cde2f0f8711d14e19ed48a4296e2be
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Comma Separated Values - 2.8 MB -
MD5: 09dfa258e384fc874cacf4a5fe703c6d
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Network Common Data Form - 1.9 MB -
MD5: ae4db525194e3d8facc007e658b5eed1
Uploaded with pyDataverse 2025-05-01 14:22 |
Comma Separated Values - 64.9 MB -
MD5: 91c2793983405e0bcbe1e8f139c910ef
Uploaded with pyDataverse 2025-05-01 14:21 |
Network Common Data Form - 24.1 MB -
MD5: 4f995ad8b7b118fa5e0554ab17f77c4a
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Comma Separated Values - 102.7 KB -
MD5: 6555c2cb5ac370007d10759c28a41134
Uploaded with pyDataverse 2025-05-01 14:22 |
Network Common Data Form - 525.6 KB -
MD5: cdd426035258319d9bfd20dcb772afdc
Uploaded with pyDataverse 2025-05-01 14:23 |