aggregate2yrmon: Aggregate sub-daily data first to a monthly mean diurnal...

In laubblatt/cleaRskyQuantileRegression: Calculate monthly fractional clear-sky shortwave transmission from global radiation records

Description

The aggregation tries to avoid sampling biases (e.g. missing data at night time) with 26 days required and then average the monthly mean diurnal cycle

Usage

aggregate2yrmon(dth = NULL, Date = NULL, Time = NULL,
  IncomingShortwave = NULL, ..., nminmon = 26)

Arguments

dth	a data.table with column names Date, Time; if not supplied it will be constructed from vectors
Date	a vector of Dates in the format of data.table::as.IDate
Time	a vector of Times in the format of data.table::as.ITime
IncomingShortwave	a vector of subdaily (hourly or half-hourly) observations of solar radiation
...	further vectors which shall be aggregated
nminmon	numeric, sets the required number of existing days for averaging

Details

Provide either a data table dth or vectors of Date, Time, IncomingShortwave

Value

data.table with aggregated data per year and month

Author(s)

Maik Renner, mrenner [at] bgc-jena.mpg.de

laubblatt/cleaRskyQuantileRegression documentation built on Nov. 27, 2019, 12:26 p.m.