Greenland ice sheet subsurface temperature compilation scripts
These scripts process the 10 m subsurface temperature from various sources and compile them into a single dataset. It builds an Artificial Neural Network on that dataset using temperature and snowfall data from the ERA5 reanalysis dataset. The output of the ANN is monthly grids of 10 m subsurface te...
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| Format: | Other/Unknown Material |
| Language: | unknown |
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Zenodo
2023
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| Online Access: | https://doi.org/10.5281/zenodo.8113540 |
| Summary: | These scripts process the 10 m subsurface temperature from various sources and compile them into a single dataset. It builds an Artificial Neural Network on that dataset using temperature and snowfall data from the ERA5 reanalysis dataset. The output of the ANN is monthly grids of 10 m subsurface temperature. This output is then compared to three regional climate model output RACMO, HIRHAM and MAR. |
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