2DCNN Prediction of Shenzhen Surface ozone
收藏DataCite Commons2025-02-02 更新2025-04-16 收录
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This dataset includes the 2-D Convolutional neural network (2DCNN) predictions of Shenzhen driven by different sources of meteorological data.The description of files included in this dataset are listed below:train_x.npy: The Python Numpy array of data used to train the 2DCNN modeltest_x.npy: The Python Numpy array of data used as the test set the 2DCNN modelval_x.npy: The Python Numpy array of data used to independently validate the 2DCNN modely_pred_train.npy: The Python Numpy array of 2DCNN prediction of training set. y_pred_test.npy: The Python Numpy array of 2DCNN prediction of test set.y_pred_val.npy: The Python Numpy array of 2DCNN prediction of independent validation set.info.npz: The compressed Python Numpy array of latitudes (lat), longitudes (lon), features(vardic) of the 2DCNN input data. 2DCNN-FNL2021.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-FNL2021 simulation.2DCNN-FNL2019.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-FNL2019 simulation.2DCNN-ERA5-2021.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-ERA5-2021 simulation.2DCNN-ERA5-2019.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-ERA5-2019 simulation.2DCNN-EDA-2021.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-EDA-2021 simulation.2DCNN-EDA-2019.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-EDA-2019 simulation.2DCNN-ESOF-2021-24hr.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-ESOF-2021-24hr simulation.2DCNN-ESOF-2021-48hr.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-ESOF-2021-48hr simulation.2DCNN-ESOF-2021-72hr.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-ESOF-2021-72hr simulation.2DCNN-ESOF-2019-24hr.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-ESOF-2019-24hr simulation.2DCNN-ESOF-2019-48hr.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-ESOF-2019-48hr simulation.2DCNN-ESOF-2019-72hr.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-ESOF-2019-72hr simulation.2DCNN-ESOF-2019.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-ESOF-2019 216 hr forecast.
这个数据集包含基于不同气象数据源驱动的深圳地区二维卷积神经网络(2-D Convolutional neural network)预测结果。数据集所含文件描述如下:
train_x.npy:用于训练二维卷积神经网络模型的Python Numpy数组数据
test_x.npy:作为二维卷积神经网络模型测试集的Python Numpy数组数据
val_x.npy:用于独立验证二维卷积神经网络模型的Python Numpy数组数据
y_pred_train.npy:二维卷积神经网络训练集预测结果的Python Numpy数组
y_pred_test.npy:二维卷积神经网络测试集预测结果的Python Numpy数组
y_pred_val.npy:二维卷积神经网络独立验证集预测结果的Python Numpy数组
info.npz:包含二维卷积神经网络输入数据的纬度(lat)、经度(lon)及特征(vardic)的Python Numpy压缩数组
2DCNN-FNL2021.npz:包含二维卷积神经网络-FNL2021模拟的输入(X)、预测结果(Y)及日期列表的Python Numpy压缩数组
2DCNN-FNL2019.npz:包含二维卷积神经网络-FNL2019模拟的输入(X)、预测结果(Y)及日期列表的Python Numpy压缩数组
2DCNN-ERA5-2021.npz:包含二维卷积神经网络-ERA5-2021模拟的输入(X)、预测结果(Y)及日期列表的Python Numpy压缩数组
2DCNN-ERA5-2019.npz:包含二维卷积神经网络-ERA5-2019模拟的输入(X)、预测结果(Y)及日期列表的Python Numpy压缩数组
2DCNN-EDA-2021.npz:包含二维卷积神经网络-EDA-2021模拟的输入(X)、预测结果(Y)及日期列表的Python Numpy压缩数组
2DCNN-EDA-2019.npz:包含二维卷积神经网络-EDA-2019模拟的输入(X)、预测结果(Y)及日期列表的Python Numpy压缩数组
2DCNN-ESOF-2021-24hr.npz:包含二维卷积神经网络-ESOF-2021-24小时模拟的输入(X)、预测结果(Y)及日期列表的Python Numpy压缩数组
2DCNN-ESOF-2021-48hr.npz:包含二维卷积神经网络-ESOF-2021-48小时模拟的输入(X)、预测结果(Y)及日期列表的Python Numpy压缩数组
2DCNN-ESOF-2021-72hr.npz:包含二维卷积神经网络-ESOF-2021-72小时模拟的输入(X)、预测结果(Y)及日期列表的Python Numpy压缩数组
2DCNN-ESOF-2019-24hr.npz:包含二维卷积神经网络-ESOF-2019-24小时模拟的输入(X)、预测结果(Y)及日期列表的Python Numpy压缩数组
2DCNN-ESOF-2019-48hr.npz:包含二维卷积神经网络-ESOF-2019-48小时模拟的输入(X)、预测结果(Y)及日期列表的Python Numpy压缩数组
2DCNN-ESOF-2019-72hr.npz:包含二维卷积神经网络-ESOF-2019-72小时模拟的输入(X)、预测结果(Y)及日期列表的Python Numpy压缩数组
2DCNN-ESOF-2019.npz:包含二维卷积神经网络-ESOF-2019 216小时预报的输入(X)、预测结果(Y)及日期列表的Python Numpy压缩数组
提供机构:
Science Data Bank
创建时间:
2023-04-17



