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Impute Missing Climate Data Using Climatological Daily Means

Source: R/aux_functions.R
impute_climate_to_end_date.Rd

This function imputes missing dates in a climate time series using the average value for each (month, day) combination across all prior years in the dataset. It is useful for filling in short gaps at the end of a time series, such as imputing values for December 2023 using earlier years' averages.

Usage

impute_climate_to_end_date(data, end_date)

Arguments

data

A data frame with at least the following columns:

  • dates (Date): The observation date.

  • CumulativeRainfall, anom, temp: Numeric climate variables to impute.

end_date

A Date object indicating the final date that should be present. The function will impute values from the last available date up to end_date. Assumes the dates column ends before this value.

Value

A data frame with the original data and appended imputed values, sorted by dates.

Examples

# Suppose your climate data ends at 2023-12-01
# met_360_completed <- impute_climate_to_end_date(met_360, as.Date("2023-12-31"))