Automatic weather stations

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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31 to 40 of 495 Results

FRE_hour.csv Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland Comma Separated Values - 12.4 MB - MD5: ba361767ca6d9830a29d1d83ec3d424a Uploaded with pyDataverse 2025-07-01 14:28
FRE_hour.nc Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland Network Common Data Form - 8.8 MB - MD5: 3a888af9e7f7c359d1c13114fb5bbcbb Uploaded with pyDataverse 2025-07-01 14:27
FRE_month.csv Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland Comma Separated Values - 20.7 KB - MD5: 2b8a5b543341ed04e7b3e7d1fe614836 Uploaded with pyDataverse 2025-07-01 14:27
FRE_month.nc Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland Network Common Data Form - 348.2 KB - MD5: c15d19e6cc3461b02aeb94c81ce7f8a6 Uploaded with pyDataverse 2025-07-01 14:28
HUM_day.csv Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland Comma Separated Values - 2.9 MB - MD5: 53409dcf35be091f14c3972c6515f8b3 Uploaded with pyDataverse 2025-07-01 14:47
HUM_day.nc Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland Network Common Data Form - 2.1 MB - MD5: 18b66e634f14ec91aa6c4b5b539f3def Uploaded with pyDataverse 2025-07-01 14:48
HUM_hour.csv Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland Comma Separated Values - 64.9 MB - MD5: ec9b75d91e34d1f4f75b8e9c0e0c7472 Uploaded with pyDataverse 2025-07-01 14:46
HUM_hour.nc Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland Network Common Data Form - 21.9 MB - MD5: 57abbb42fc1981b57b4ac6f61550b5c6 Uploaded with pyDataverse 2025-07-01 14:47
HUM_month.csv Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland Comma Separated Values - 107.9 KB - MD5: 1c8806fce0eced5863429f3b4bb51ee3 Uploaded with pyDataverse 2025-07-01 14:48
HUM_month.nc Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland Network Common Data Form - 516.6 KB - MD5: 3486b6fbfc99488040e3fb27b95cfece Uploaded with pyDataverse 2025-07-01 14:47

FRE_hour.csv

Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Comma Separated Values - 12.4 MB -

Uploaded with pyDataverse 2025-07-01 14:28

FRE_hour.nc

Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Network Common Data Form - 8.8 MB -

Uploaded with pyDataverse 2025-07-01 14:27

FRE_month.csv

Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Comma Separated Values - 20.7 KB -

Uploaded with pyDataverse 2025-07-01 14:27

FRE_month.nc

Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Network Common Data Form - 348.2 KB -

Uploaded with pyDataverse 2025-07-01 14:28

HUM_day.csv

Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Comma Separated Values - 2.9 MB -

Uploaded with pyDataverse 2025-07-01 14:47

HUM_day.nc

Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Network Common Data Form - 2.1 MB -

Uploaded with pyDataverse 2025-07-01 14:48

HUM_hour.csv

Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Comma Separated Values - 64.9 MB -

Uploaded with pyDataverse 2025-07-01 14:46

HUM_hour.nc

Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Network Common Data Form - 21.9 MB -

Uploaded with pyDataverse 2025-07-01 14:47

HUM_month.csv

Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Comma Separated Values - 107.9 KB -

Uploaded with pyDataverse 2025-07-01 14:48

HUM_month.nc

Jul 2, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Network Common Data Form - 516.6 KB -

Uploaded with pyDataverse 2025-07-01 14:47

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