morphing_epw: Morphing EPW weather variables
In epwshiftr: Create Future 'EnergyPlus' Weather Files using 'CMIP6' Data

Description Usage Arguments Details Value References

morphing_epw() takes an epw_cmip6_data object generated using extract_data() and calculates future core EPW weather variables using Morphing Method.

1	morphing_epw(data, years = NULL, labels = NULL, methods = NULL)

`data`	An `epw_cmip6_data`object generated using `extract_data()`
`years`	An integer vector indicating the target years to be considered. If `NULL`, all years in input data will be considered. Default: `NULL`.
`labels`	A character or factor vector used for grouping input `years`. Usually are the outputs of `base::cut()`. `labels` should have the same length as `years`. If given, climate data of `years` grouped by `labels` will be averaged. Default: `NULL`.
`methods`	A named character giving the methods of morphing procedures of each variables. Possible variable names are `tdb`, `rh`, `p`, `hor_ir`, `glob_rad`, `wind`. Possible values are: `"stretch"`, `"shift"` and `"combined"`. For example: `c(tdb = "stretch", rh = "shift")`. `"combined"` is only applicable to `tdb`. The default morphing method for each variable is listed in the Return section. If `NULL`, the default methods will be used. Default: `NULL`.

The EPW weather variables that get morphed are listed in details.

An epw_cmip6_morphed object, which is basically a list of 12 elements:

No.	Element	Type	Morphing Method	Description
1	`epw`	eplusr::Epw	N/A	The original EPW file used for morphing
2	`tdb`	`data.table::data.table()`	Stretch	Data of dry-bulb temperature after morphing
3	`tdew`	`data.table::data.table()`	Derived	Data of dew-point temperature after morphing
4	`rh`	`data.table::data.table()`	Stretch	Data of relative humidity after morphing
5	`p`	`data.table::data.table()`	Stretch	Data of atmospheric pressure after morphing
6	`hor_ir`	`data.table::data.table()`	Stretch	Data of horizontal infrared radiation from the sky after morphing
7	`glob_rad`	`data.table::data.table()`	Stretch	Data of global horizontal radiation after morphing
8	`norm_rad`	`data.table::data.table()`	Derived	Data of direct normal radiation after morphing
9	`diff_rad`	`data.table::data.table()`	Stretch	Data of diffuse horizontal radiation after morphing
10	`wind`	`data.table::data.table()`	Stretch	Data of wind speed after morphing
11	`total_cover`	`data.table::data.table()`	Derived	Data of total sky cover after morphing
12	`opaque_cover`	`data.table::data.table()`	Derived	Data of opaque sky cover after morphing

Each data.table::data.table() listed above contains x columns

No.	Column	Type	Description
1	`activity_drs`	Character	Activity DRS (Data Reference Syntax)
2	`institution_id`	Character	Institution identifier
3	`source_id`	Character	Model identifier
4	`experiment_id`	Character	Root experiment identifier
5	`member_id`	Character	A compound construction from `sub_experiment_id` and `variant_label`
6	`table_id`	Character	Table identifier
7	`lat`	Double	The averaged values of input latitude
8	`lon`	Double	The averaged values of input longitude
9	`interval`	Factor	The year value of data morphed
10	Variable Name	Double	The morphed data, where `Variable Name` is the corresponding EPW weather variable name
11	`delta`	Double	The shift factor. Will be `NA` for derivied values
12	`alpha`	Double	The stretch factor. Will be `NA` for derivied values

Belcher, S., Hacker, J., Powell, D., 2005. Constructing design weather data for future climates. Building Services Engineering Research and Technology 26, 49–61. https://doi.org/10.1191/0143624405bt112oa

epwshiftr documentation built on May 26, 2021, 5:08 p.m.