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: | Software |
| Language: | unknown |
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Zenodo
2023
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| Online Access: | https://dx.doi.org/10.5281/zenodo.8027443 https://zenodo.org/record/8027443 |
| 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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