measure.corlongterm: Correlation on Long time scales

In SantanderMetGroup/VALUE: Climate data validation in the framework of the COST action VALUE

Correlation on Long time scales

Description

Function to compute the temporal correlation between the observed and predicted time series.

Usage

measure.corlongterm(
  indexObs = NULL,
  indexPrd = NULL,
  obs,
  prd,
  dates,
  method = c("pearson", "kendall", "spearman"),
  t.aggr = "annual",
  timescale = 1,
  detrend = FALSE,
  plot = FALSE
)

Arguments

indexObs	index computed from the observations
indexPrd	index computed from the predictions
obs	A vector of observations
prd	A vector of predictions
dates	dates
method	Character. Type of correlation applied. Options: c("pearson","kendall","spearman").
t.aggr	Character. Temporal aggregation options. Current accepted values are either "annual" or "seasonal".
timescale	Integer. Approximate filtering time scale (according to the t.aggr units).
detrend	Logical. Whether the aggregated time series should be linearly detrended prior to filtering
plot	Logical, for internal use only. Should the original (aggregated) and filtered series be plotted?

Value

A float number corresponding to the correlation coefficient of choice between the predicted and observed series.

Author(s)

D. Maraun, J. Bedia

SantanderMetGroup/VALUE documentation built on July 8, 2023, 7:03 a.m.