Unified Model Atmospheric Forecast Model Data for Machine Learning Cloud-Base Height
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https://zenodo.org/record/5082106
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资源简介：
Unified Model data, in pp format, for machine learning of cloud-base height based on profiles of temperature, humidity, pressure and cloud fraction. The model configuration is Global Atmosphere 6, running with a resolution of N320 (which is coarser than what was running operationally at the time). Each simulation is run for 24 hours, re-initialising every 24 hours. A separate data file is provided every 6 hours. Data points are on a latitude-longitude grid in the horizontal and on a stretched grid in the vertical. See https://gmd.copernicus.org/articles/10/1487/2017/ for details of the model configuration.
Data from January 2016 is for training.
Data from July 2017 is for development/validation
Data from October 2017 is for final testing.
创建时间：
2022-01-12
