aggregateTo.seasonal: Aggregate 8am to 8am data to yearly sums and seasonal sums
In KNMI/Hackathon-RDWD-QualityMonitoring: What the package does (short line)

Description Usage Arguments Details Author(s)

Since the variability is seasonal dependent we would like to be able to compare certain seasons only. The function takes the R object, calculates aggregates and returns this in the object, included updated meta data.

1 2	aggregateTo.seasonal(obj, all.stations = TRUE, sta_type = "AWS", var_id = "RD", sta_id = NULL)

`obj`	The R object containing all timeseries and metadata
`all.stations`	default is "TRUE" means all stations are aggregated. If all.stations = FALSE, an array of sta_ID needs to be provided.
`sta_type`	default is "AWS", but could be extended to for instance "WOW" in the future.
`var_id`	default is "RD" for daily rainfall.
`sta_id`	defines the string of sta_id's that need to be aggregated. Only applies when all.stations = FALSE. #@example aggregated.seasonal <- aggregate.to.seasonal(obj)