streamflow: Streamflow Dataset
In SCE: Stepwise Clustered Ensemble

streamflow_datasets

R Documentation

Streamflow Dataset

Description

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.

Usage

data("streamflow_training_10var")
data("streamflow_training_22var")
data("streamflow_testing_10var")
data("streamflow_testing_22var")

Format

streamflow_training_10var: Basic environmental variables (12 columns):

Date: Date and time of measurement
Prcp: Monthly mean daily precipitation (mm)
SRad: Monthly mean daily solar radiation (W/m^2)
Tmax: Monthly mean daily maximum temperature (^\circC)
Tmin: Monthly mean daily minimum temperature (^\circC)
VP: Monthly mean daily vapor pressure (Pa)
smlt: Monthly snowmelt (m)
swvl1: Soil water content layer 1 (m^3/m^3)
swvl2: Soil water content layer 2 (m^3/m^3)
swvl3: Soil water content layer 3 (m^3/m^3)
swvl4: Soil water content layer 4 (m^3/m^3)
Flow: Monthly mean daily streamflow (cfs)

streamflow_training_22var: Extended variables with climate indices (24 columns):

Flow: Streamflow measurements
IPO: Interdecadal Pacific Oscillation
IPO_lag1: IPO with 1-month lag
IPO_lag2: IPO with 2-month lag
Nino3.4: Nino 3.4 index
Nino3.4_lag1: Nino 3.4 with 1-month lag
Nino3.4_lag2: Nino 3.4 with 2-month lag
PDO: Pacific Decadal Oscillation
PDO_lag1: PDO with 1-month lag
PDO_lag2: PDO with 2-month lag
PNA: Pacific North American pattern
PNA_lag1: PNA with 1-month lag
PNA_lag2: PNA with 2-month lag
Precipitation: Monthly precipitation
Precipitation_2Mon: 2-month precipitation
Radiation: Solar radiation
Radiation_2Mon: 2-month solar radiation
Tmax: Maximum temperature
Tmax_2Mon: 2-month maximum temperature
Tmin: Minimum temperature
Tmin_2Mon: 2-month minimum temperature
VP: Vapor pressure
VP_2Mon: 2-month vapor pressure

Testing datasets: Same structure as corresponding training datasets.

Details

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 Nino), PDO (Pacific Decadal Oscillation), PNA (Pacific North American pattern)

Data Sources: ERA5 Land, Daymet, USGS, and climate indices databases