five

STILT footprints data set 3

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NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/12803854
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资源简介:
This repository contains the third batch of training data sets of measurement footprints. The footprints are used to train the deep learning model presented in our paper titled "FootNet v1.0: Development of a machine learning emulator of atmospheric transport". Preprint of the manuscript could be accessed at https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1526/. The footprints are provided in Numpy compressed array format, which could be decompressed with Python 3.10.6 and NumPy 1.23.4.
创建时间:
2024-07-24
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