Cirrus formation regimes - Data driven identification and quantification of mineral dust effect
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https://zenodo.org/record/13168762
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This repository contains the data for the paper:
Authors: Kai Jeggle , David Neubauer , Hanin Binder and Ulrike LohmannTitel: Cirrus formation regimes - Data driven identification and quantification of mineral dust effectDate: 2024
Note that the scripts can be found in the accompanying code repository (https://github.com/tabularaza27/cloud_clustering)Contents:├── cirrus_cloud_trajectories.ftr├── cluster_input_data.ftr├── cluster_models│ └── temperature_clustering_k4_12│ ├── cloud_ids.npy│ ├── model_params.json│ └── trained_model.hdf5
│ └── temperature_clustering_k4_24│ ├── cloud_ids.npy│ ├── model_params.json│ └── trained_model.hdf5
├── cluster_predictions.ftr└── readme.txtFor more info, please have a look at the readme.txtThis is an updated version of the data, containing updated models and predictions based on the Journal revisions
创建时间：
2025-03-28
