partition_tea: partition ET by TEA

In bgctw/etpart: Partitioning evapotranspiration into transpiration and evaporation

Description

The Transpiration Estimation Algorithm (TEA) partitions ET by first constraining the data to dry conditions where T/ET~1 (see tea_filter) and then learning water use efficiency (WUE) relationship with predictors from the resulting training data (see link{tea_fit_wue}). The learned model is then used to predict WUE, T, and ET for each

Usage

partition_tea(data, control = tea_config())

Arguments

data	data.frame with required columns: XX
control	list with configuration options see tea_config

Value

see tea_predict, data with predictions percentiles of WUE, E and T appended.

bgctw/etpart documentation built on Dec. 19, 2021, 8:49 a.m.