These datasets contain streamflow and related environmental variables for training and testing purposes. They are used in examples to demonstrate the SCE package functionality with different levels of complexity.
data("Streamflow_training_10var")
data("Streamflow_training_22var")
data("Streamflow_testing_10var")
data("Streamflow_testing_22var")Streamflow_training_10var: Basic environmental variables (12 columns):
Date and time of measurement
Monthly mean daily precipitation (mm)
Monthly mean daily solar radiation (W/m^2)
Monthly mean daily maximum temperature (°C)
Monthly mean daily minimum temperature (°C)
Monthly mean daily vapor pressure (Pa)
Monthly snowmelt (m)
Soil water content layer 1 (m^3/m^3)
Soil water content layer 2 (m^3/m^3)
Soil water content layer 3 (m^3/m^3)
Soil water content layer 4 (m^3/m^3)
Monthly mean daily streamflow (cfs)
Streamflow_training_22var: Extended variables with climate indices (24 columns):
Streamflow measurements
Interdecadal Pacific Oscillation
IPO with 1-month lag
IPO with 2-month lag
Nino 3.4 index
Nino 3.4 with 1-month lag
Nino 3.4 with 2-month lag
Pacific Decadal Oscillation
PDO with 1-month lag
PDO with 2-month lag
Pacific North American pattern
PNA with 1-month lag
PNA with 2-month lag
Monthly precipitation
2-month precipitation
Solar radiation
2-month solar radiation
Maximum temperature
2-month maximum temperature
Minimum temperature
2-month minimum temperature
Vapor pressure
2-month vapor pressure
Testing datasets: Same structure as corresponding training datasets.
Dataset Structure:
10var datasets: Basic environmental variables (12 columns)
22var datasets: Extended variables with climate indices (24 columns)
Training datasets: Used for model building
Testing datasets: Used for model evaluation
Climate Indices: IPO (Interdecadal Pacific Oscillation), Nino3.4 (El Niño), PDO (Pacific Decadal Oscillation), PNA (Pacific North American pattern)
Data Sources: ERA5 Land, Daymet, USGS, and climate indices databases