Greenland ice sheet ice and firn temperature reconstruction at 10 m depth, 1950-2022 ...
This dataset contains monthly grids of 10 m subsurface temperatures (T10m) for the Greenland ice sheet between 1954 and 2022. These grids have been produced by an Artificial Neural Network (ANN) which take as input ERA5 snowfall and air temperatures and is trained on more than 4500 observations of T...
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| Format: | Dataset |
| Language: | unknown |
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GEUS Dataverse
2023
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| Online Access: | https://dx.doi.org/10.22008/fk2/c24wvn https://dataverse.geus.dk/citation?persistentId=doi:10.22008/FK2/C24WVN |
| Summary: | This dataset contains monthly grids of 10 m subsurface temperatures (T10m) for the Greenland ice sheet between 1954 and 2022. These grids have been produced by an Artificial Neural Network (ANN) which take as input ERA5 snowfall and air temperatures and is trained on more than 4500 observations of T10m from multiple sources. For a full description of the observation dataset, ANN training and performance, please see: Vandecrux, B., Fausto, R. S., Box, J., Covi, F., Hock, R., Rennermalm, A., Heilig, A., Abermann, J., van As, D., Bjerre, E., Fettweis, X., Smeets, P.C.J.P., Kuipers Munneke, P., van den Broeke, M., Brils, M., Langen, P.L., Mottram, R., Ahlstrøm, A.: Historical snow and ice temperature compilation documents the recent warming of the Greenland ice sheet, manuscript in development, 2023 The dataset is composed of two netcdf files: - T10m_prediction.nc which contains the ANN's prediction - T10m_uncertainty.nc which contains the ANN's estimated uncertainty Both files have latitude and longitude ... |
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