daily_indices: Daily Climate Indices
In jjvanderwal/climates: Methods for working with weather & climate

Description Usage Arguments Value Author(s) Examples

daily_indices implements a suite of basic climate indices based on daily records It is written to run one year of data at a time for scalability to large gridded domains.

1 2	daily_indices(tmin = NULL, tmax = NULL, prec = NULL, tmean = NULL, thresholds = NULL, time_PCICt = NULL)

`tmin`	a data.frame or matrix with greater than 359 and less than 367 columns representing daily minimum temperature data; rows represent different locations.
`tmax`	a data.frame or matrix as with `tmin` representing maximum temperature data.
`prec`	a data.frame or matrix as with `tmin` representing precipitation data.
`tmean`	a data.frame or matrix as with `tmin` representing mean temperature data.
`thresholds`	A named list with the following structure: thresholds=list(days_tmax_abv_thresh=c(), days_tmin_blw_thresh=c(), days_prcp_abv_thresh=c(), longest_run_tmax_abv_thresh=c(), longest_run_prcp_blw_thresh=c(), growing_degree_day_thresh=c(), heating_degree_day_thresh=c(), cooling_degree_day_thresh=c(), growing_season_lngth_thresh=c()) where thresholds are in celsius or mm for temperature or precipitation respectively. Multiple thresholds can be specified as a vector and entire statistics can be omitted.
`time_PCICt`	The time vector cooresponding to the data.frames or matrices in PCICt format.

a matrix with columns representing variables requested and the number of rows(and order of them) the same as the input tmin, tmax, prec or tmean.

David Blodgett dblodgett@usgs.gov

## Not run: 
data(daily_indices_example, package='climates')
output<-daily_indices(tmin=tmin_data, tmax=tmax_data, prec=prcp_data,
tmean=tave_data, thresholds,time_PCICt)

## End(Not run)