R/vahydro_import_all_metrics.R
In HARPgroup/cbp6:
Defines functions
vahydro_import_all_metrics
Documented in
vahydro_import_all_metrics
#' Import All Metrics from VAHydro Function
#' @description Imports all metrics from VAHydro for a given scenario
#' @param seg.or.gage indicate segment name or gage number
#' @param mod.scenario input scenario code
#' @param token input token number for access
#' @param site input site name
#' @return dataframe of all metrics
#' @export vahydro_import_all_metrics
vahydro_import_all_metrics <- function(seg.or.gage, mod.scenario, token, site) {
overall.mean <- vahydro_import_metric(met.varkey = "overall_mean", met.propcode = '', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
jan.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml1', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
feb.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml2', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
mar.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml3', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
apr.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml4', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
may.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml5', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
jun.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml6', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
jul.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml7', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
aug.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml8', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
sep.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml9', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
oct.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml10', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
nov.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml11', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
dec.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml12', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
jan.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm1', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
feb.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm2', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
mar.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm3', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
apr.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm4', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
may.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm5', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
jun.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm6', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
jul.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm7', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
aug.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm8', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
sep.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm9', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
oct.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm10', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
nov.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm11', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
dec.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm12', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
jan.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh1', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
feb.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh2', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
mar.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh3', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
apr.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh4', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
may.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh5', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
jun.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh6', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
jul.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh7', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
aug.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh8', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
sep.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh9', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
oct.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh10', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
nov.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh11', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
dec.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh12', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
one.day.min <- vahydro_import_metric(met.varkey = "min_low_flow", met.propcode = 'min1', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
three.day.min <- vahydro_import_metric(met.varkey = "min_low_flow", met.propcode = 'min3', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
seven.day.min <- vahydro_import_metric(met.varkey = "min_low_flow", met.propcode = 'min7', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
thirty.day.min <- vahydro_import_metric(met.varkey = "min_low_flow", met.propcode = 'min30', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
ninety.day.min <- vahydro_import_metric(met.varkey = "min_low_flow", met.propcode = 'min90', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
one.day.med.low <- vahydro_import_metric(met.varkey = "med_low_flow", met.propcode = 'medl1', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
three.day.med.low <- vahydro_import_metric(met.varkey = "med_low_flow", met.propcode = 'medl3', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
seven.day.med.low <- vahydro_import_metric(met.varkey = "med_low_flow", met.propcode = 'medl7', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
thirty.day.med.low <- vahydro_import_metric(met.varkey = "med_low_flow", met.propcode = 'medl30', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
ninety.day.med.low <- vahydro_import_metric(met.varkey = "med_low_flow", met.propcode = 'medl90', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
one.day.max <- vahydro_import_metric(met.varkey = "max_high_flow", met.propcode = 'max1', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
three.day.max <- vahydro_import_metric(met.varkey = "max_high_flow", met.propcode = 'max3', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
seven.day.max <- vahydro_import_metric(met.varkey = "max_high_flow", met.propcode = 'max7', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
thirty.day.max <- vahydro_import_metric(met.varkey = "max_high_flow", met.propcode = 'max30', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
ninety.day.max <- vahydro_import_metric(met.varkey = "max_high_flow", met.propcode = 'max90', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
one.day.med.high <- vahydro_import_metric(met.varkey = "med_high_flow", met.propcode = 'medh1', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
three.day.med.high <- vahydro_import_metric(met.varkey = "med_high_flow", met.propcode = 'medh3', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
seven.day.med.high <- vahydro_import_metric(met.varkey = "med_high_flow", met.propcode = 'medh7', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
thirty.day.med.high <- vahydro_import_metric(met.varkey = "med_high_flow", met.propcode = 'medh30', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
ninety.day.med.high <- vahydro_import_metric(met.varkey = "med_high_flow", met.propcode = 'medh90', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
one.pct.non.exceedance <- vahydro_import_metric(met.varkey = "non-exceedance", met.propcode = 'ne1', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
five.pct.non.exceedance <- vahydro_import_metric(met.varkey = "non-exceedance", met.propcode = 'ne5', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
fifty.pct.non.exceedance <- vahydro_import_metric(met.varkey = "non-exceedance", met.propcode = 'ne50', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
ninety.five.pct.non.exceedance <- vahydro_import_metric(met.varkey = "non-exceedance", met.propcode = 'ne95', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
ninety.nine.pct.non.exceedance <- vahydro_import_metric(met.varkey = "non-exceedance", met.propcode = 'ne99', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
sep.ten.pct <- vahydro_import_metric(met.varkey = "monthly_non-exceedance", met.propcode = 'mne9_10', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
seven.q.ten <- vahydro_import_metric(met.varkey = "7q10", met.propcode = '', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
drought.of.record.year <- vahydro_import_metric(met.varkey = "dor_year", met.propcode = '', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
drought.of.record.mean <- vahydro_import_metric(met.varkey = "dor_mean", met.propcode = '', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
mean.baseflow <- vahydro_import_metric(met.varkey = "baseflow", met.propcode = '', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
metrics <- data.frame(overall.mean, jan.low.flow, feb.low.flow, mar.low.flow, apr.low.flow, may.low.flow,
jun.low.flow, jul.low.flow, aug.low.flow, sep.low.flow, oct.low.flow, nov.low.flow,
dec.low.flow, jan.mean.flow, feb.mean.flow, mar.mean.flow, apr.mean.flow,
may.mean.flow, jun.mean.flow, jul.mean.flow, aug.mean.flow, sep.mean.flow,
oct.mean.flow, nov.mean.flow, dec.mean.flow, jan.high.flow, feb.high.flow,
mar.high.flow, apr.high.flow, may.high.flow, jun.high.flow, jul.high.flow,
aug.high.flow, sep.high.flow, oct.high.flow, nov.high.flow, dec.high.flow,
one.day.min, three.day.min, seven.day.min, thirty.day.min, ninety.day.min,
one.day.med.low, three.day.med.low, seven.day.med.low, thirty.day.med.low, ninety.day.med.low,
one.day.max, three.day.max, seven.day.max, thirty.day.max, ninety.day.max,
one.day.med.high, three.day.med.high, seven.day.med.high, thirty.day.med.high, ninety.day.med.high,
one.pct.non.exceedance, five.pct.non.exceedance, fifty.pct.non.exceedance,
ninety.five.pct.non.exceedance, ninety.nine.pct.non.exceedance, sep.ten.pct,
seven.q.ten, drought.of.record.year, drought.of.record.mean, mean.baseflow)
return(metrics)
}
HARPgroup/cbp6 documentation built on Nov. 8, 2022, 1:22 a.m.
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Defines functions vahydro_import_all_metrics
Documented in vahydro_import_all_metrics
#' Import All Metrics from VAHydro Function
#' @description Imports all metrics from VAHydro for a given scenario
#' @param seg.or.gage indicate segment name or gage number
#' @param mod.scenario input scenario code
#' @param token input token number for access
#' @param site input site name
#' @return dataframe of all metrics
#' @export vahydro_import_all_metrics
vahydro_import_all_metrics <- function(seg.or.gage, mod.scenario, token, site) {
overall.mean <- vahydro_import_metric(met.varkey = "overall_mean", met.propcode = '', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
jan.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml1', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
feb.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml2', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
mar.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml3', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
apr.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml4', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
may.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml5', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
jun.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml6', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
jul.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml7', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
aug.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml8', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
sep.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml9', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
oct.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml10', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
nov.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml11', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
dec.low.flow <- vahydro_import_metric(met.varkey = "monthly_low_flow", met.propcode = 'ml12', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
jan.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm1', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
feb.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm2', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
mar.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm3', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
apr.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm4', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
may.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm5', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
jun.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm6', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
jul.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm7', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
aug.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm8', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
sep.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm9', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
oct.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm10', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
nov.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm11', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
dec.mean.flow <- vahydro_import_metric(met.varkey = "monthly_mean_flow", met.propcode = 'mm12', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
jan.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh1', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
feb.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh2', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
mar.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh3', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
apr.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh4', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
may.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh5', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
jun.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh6', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
jul.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh7', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
aug.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh8', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
sep.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh9', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
oct.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh10', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
nov.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh11', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
dec.high.flow <- vahydro_import_metric(met.varkey = "monthly_high_flow", met.propcode = 'mh12', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
one.day.min <- vahydro_import_metric(met.varkey = "min_low_flow", met.propcode = 'min1', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
three.day.min <- vahydro_import_metric(met.varkey = "min_low_flow", met.propcode = 'min3', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
seven.day.min <- vahydro_import_metric(met.varkey = "min_low_flow", met.propcode = 'min7', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
thirty.day.min <- vahydro_import_metric(met.varkey = "min_low_flow", met.propcode = 'min30', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
ninety.day.min <- vahydro_import_metric(met.varkey = "min_low_flow", met.propcode = 'min90', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
one.day.med.low <- vahydro_import_metric(met.varkey = "med_low_flow", met.propcode = 'medl1', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
three.day.med.low <- vahydro_import_metric(met.varkey = "med_low_flow", met.propcode = 'medl3', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
seven.day.med.low <- vahydro_import_metric(met.varkey = "med_low_flow", met.propcode = 'medl7', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
thirty.day.med.low <- vahydro_import_metric(met.varkey = "med_low_flow", met.propcode = 'medl30', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
ninety.day.med.low <- vahydro_import_metric(met.varkey = "med_low_flow", met.propcode = 'medl90', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
one.day.max <- vahydro_import_metric(met.varkey = "max_high_flow", met.propcode = 'max1', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
three.day.max <- vahydro_import_metric(met.varkey = "max_high_flow", met.propcode = 'max3', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
seven.day.max <- vahydro_import_metric(met.varkey = "max_high_flow", met.propcode = 'max7', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
thirty.day.max <- vahydro_import_metric(met.varkey = "max_high_flow", met.propcode = 'max30', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
ninety.day.max <- vahydro_import_metric(met.varkey = "max_high_flow", met.propcode = 'max90', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
one.day.med.high <- vahydro_import_metric(met.varkey = "med_high_flow", met.propcode = 'medh1', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
three.day.med.high <- vahydro_import_metric(met.varkey = "med_high_flow", met.propcode = 'medh3', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
seven.day.med.high <- vahydro_import_metric(met.varkey = "med_high_flow", met.propcode = 'medh7', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
thirty.day.med.high <- vahydro_import_metric(met.varkey = "med_high_flow", met.propcode = 'medh30', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
ninety.day.med.high <- vahydro_import_metric(met.varkey = "med_high_flow", met.propcode = 'medh90', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
one.pct.non.exceedance <- vahydro_import_metric(met.varkey = "non-exceedance", met.propcode = 'ne1', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
five.pct.non.exceedance <- vahydro_import_metric(met.varkey = "non-exceedance", met.propcode = 'ne5', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
fifty.pct.non.exceedance <- vahydro_import_metric(met.varkey = "non-exceedance", met.propcode = 'ne50', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
ninety.five.pct.non.exceedance <- vahydro_import_metric(met.varkey = "non-exceedance", met.propcode = 'ne95', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
ninety.nine.pct.non.exceedance <- vahydro_import_metric(met.varkey = "non-exceedance", met.propcode = 'ne99', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
sep.ten.pct <- vahydro_import_metric(met.varkey = "monthly_non-exceedance", met.propcode = 'mne9_10', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
seven.q.ten <- vahydro_import_metric(met.varkey = "7q10", met.propcode = '', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
drought.of.record.year <- vahydro_import_metric(met.varkey = "dor_year", met.propcode = '', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
drought.of.record.mean <- vahydro_import_metric(met.varkey = "dor_mean", met.propcode = '', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
mean.baseflow <- vahydro_import_metric(met.varkey = "baseflow", met.propcode = '', seg.or.gage = seg.or.gage, mod.scenario = mod.scenario, token = token, site = site)
metrics <- data.frame(overall.mean, jan.low.flow, feb.low.flow, mar.low.flow, apr.low.flow, may.low.flow,
jun.low.flow, jul.low.flow, aug.low.flow, sep.low.flow, oct.low.flow, nov.low.flow,
dec.low.flow, jan.mean.flow, feb.mean.flow, mar.mean.flow, apr.mean.flow,
may.mean.flow, jun.mean.flow, jul.mean.flow, aug.mean.flow, sep.mean.flow,
oct.mean.flow, nov.mean.flow, dec.mean.flow, jan.high.flow, feb.high.flow,
mar.high.flow, apr.high.flow, may.high.flow, jun.high.flow, jul.high.flow,
aug.high.flow, sep.high.flow, oct.high.flow, nov.high.flow, dec.high.flow,
one.day.min, three.day.min, seven.day.min, thirty.day.min, ninety.day.min,
one.day.med.low, three.day.med.low, seven.day.med.low, thirty.day.med.low, ninety.day.med.low,
one.day.max, three.day.max, seven.day.max, thirty.day.max, ninety.day.max,
one.day.med.high, three.day.med.high, seven.day.med.high, thirty.day.med.high, ninety.day.med.high,
one.pct.non.exceedance, five.pct.non.exceedance, fifty.pct.non.exceedance,
ninety.five.pct.non.exceedance, ninety.nine.pct.non.exceedance, sep.ten.pct,
seven.q.ten, drought.of.record.year, drought.of.record.mean, mean.baseflow)
return(metrics)
}
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