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Update multiscale.py
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JiangtaoLiud committed Apr 12, 2022
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10 changes: 4 additions & 6 deletions example/multiscale.py
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from hydroDL.model.rnn import CpuLstmModel as LSTM_CPU
from hydroDL.model.train_multi import trainModel, testModel

root_DB = "./multiscale/coarse_resolution" # location of fine-resolution datasets
root_fine = "./multiscale/fine_resolution" # location of coarse-resolution datasets
root_site = "./multiscale/insitu" # location of in-situ datasets
root_DB = "/data/jxl6499/local/hydroDL_zenodo/example/multiscale/coarse_resolution" # location of fine-resolution datasets
root_fine = "/data/jxl6499/local/hydroDL_zenodo/example/multiscale/fine_resolution" # location of coarse-resolution datasets
root_site = "/data/jxl6499/local/hydroDL_zenodo/example/multiscale/insitu" # location of in-situ datasets
root_DB = "./hydroDL_zenodo/example/multiscale/coarse_resolution" # location of fine-resolution datasets
root_fine = "./hydroDL_zenodo/example/multiscale/fine_resolution" # location of coarse-resolution datasets
root_site = "./hydroDL_zenodo/example/multiscale/insitu" # location of in-situ datasets

all_csv_range = ["2016-01-01", "2019-12-31"] # date for all datasets in the folder
train_range = ["2016-01-01", "2018-12-31"] # date for training period
var_time_series = ["APCP", "TMP", "DLWRF", "DSWRF", "SPFH", "PRES"] # forcing datasets
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