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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111 to 120 of 495 Results

NAE_month.csv Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland Comma Separated Values - 120.6 KB - MD5: 4fcf9989a516e4c83d92835d0bbfe685 Uploaded with pyDataverse 2025-09-01 14:44
NAE_month.nc Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland Network Common Data Form - 526.2 KB - MD5: a34fec2e1e14b6b01e024ce56d340d4c Uploaded with pyDataverse 2025-09-01 14:45
NAU_day.csv Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland Comma Separated Values - 3.2 MB - MD5: 5fabab79352945f1bb361e395faa05ef Uploaded with pyDataverse 2025-09-01 13:36
NAU_day.nc Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland Network Common Data Form - 2.4 MB - MD5: b20929adc6f9aead099640623910e59b Uploaded with pyDataverse 2025-09-01 13:37
NAU_hour.csv Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland Comma Separated Values - 70.2 MB - MD5: 6b0b5408126f47f3a4b5efac601b7383 Uploaded with pyDataverse 2025-09-01 13:37
NAU_hour.nc Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland Network Common Data Form - 27.0 MB - MD5: a35830cec714454f7e0c02957a16d9fa Uploaded with pyDataverse 2025-09-01 13:38
NAU_month.csv Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland Comma Separated Values - 117.3 KB - MD5: 06d57ec4705bd4f2a5546fe1a13f3765 Uploaded with pyDataverse 2025-09-01 13:37
NAU_month.nc Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland Network Common Data Form - 526.4 KB - MD5: 12470fd2994853cdacea879c9648f71e Uploaded with pyDataverse 2025-09-01 13:37
NEM_day.csv Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland Comma Separated Values - 1.6 MB - MD5: aaa860ef717d0438e6de70b62373b317 Uploaded with pyDataverse 2025-09-01 14:32
NEM_day.nc Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland Network Common Data Form - 1.3 MB - MD5: 6d28cc8a8e13b4869c733af6ba1cfe09 Uploaded with pyDataverse 2025-09-01 14:32

NAE_month.csv

Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Comma Separated Values - 120.6 KB -

Uploaded with pyDataverse 2025-09-01 14:44

NAE_month.nc

Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Network Common Data Form - 526.2 KB -

Uploaded with pyDataverse 2025-09-01 14:45

NAU_day.csv

Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Comma Separated Values - 3.2 MB -

Uploaded with pyDataverse 2025-09-01 13:36

NAU_day.nc

Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Network Common Data Form - 2.4 MB -

Uploaded with pyDataverse 2025-09-01 13:37

NAU_hour.csv

Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Comma Separated Values - 70.2 MB -

Uploaded with pyDataverse 2025-09-01 13:37

NAU_hour.nc

Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Network Common Data Form - 27.0 MB -

Uploaded with pyDataverse 2025-09-01 13:38

NAU_month.csv

Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Comma Separated Values - 117.3 KB -

Uploaded with pyDataverse 2025-09-01 13:37

NAU_month.nc

Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Network Common Data Form - 526.4 KB -

Uploaded with pyDataverse 2025-09-01 13:37

NEM_day.csv

Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Comma Separated Values - 1.6 MB -

Uploaded with pyDataverse 2025-09-01 14:32

NEM_day.nc

Sep 1, 2025 - PROMICE and GC-Net automated weather station data in Greenland

Network Common Data Form - 1.3 MB -

Uploaded with pyDataverse 2025-09-01 14:32

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