Smogseer: A Convolutional LSTM for forecasting air quality from Sentinel-5P data
收藏Zenodo2024-07-28 更新2026-05-26 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.13118497
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资源简介：
Training and checkpoint datasets
S5PL2_5D.nc
This is the Sentinel-5P traning dataset for the Smogseer ConvLSTM model. The dataset was created using the xcube Sentinel Hub data store from the Deep Earth System Data Lab.
The dataset has the following characteristics:
bbox= [68.137207,24.886436,84.836426,34.379713] #WGS84 // lon,lat,lon,lat
res = (bbox[2]-bbox[0])/512 # ~3629m
date_range = ['2019-01-01', '2023-12-31']
timesteps = '5D'
X_val.npy
Validation feature data with shape: (74, 1, 291, 512, 6)
74: dates
1: time steps
291: latitudes
512: longitudes
6: Features ['SO2', 'NO2', 'CH4', 'O3', 'CO', 'HCHO']
Y_val.npy
Validation target data with shape: (74, 1, 291, 512, 1)
74: dates
1: time steps
291: latitudes
512: longitudes
6: Features ['SO2', 'NO2', 'CH4', 'O3', 'CO', 'HCHO']
smogseer50.keras
Model weights for training the ConvLSTM with 50 epochs.
smogseer100.keras
Model weights for training the ConvLSTM with 10 epochs.
提供机构：
Zenodo
创建时间：
2024-07-28
