Delay

Description

Delay

Usage

delay_setup()

Value

a number for amount of time to delay

A subset of USGS stations in HUC 17

Description

A subset of USGS stations in HUC 17

Usage

pnw_wy

Format

A data frame with 18934 rows and 30 variables:

Station

name of USGS station

site_no

station site id number

wy

water year

peak_va

peak flow value

peak_dt

peak flow date

drainage_area

drainage area in sq.miles

lat

latitude

long

longitude

altitude

altitude in meters

obs_per_wy

observations per water year per site

wy_count

water year count per site

Flow_sum

Sum of Flow

Flow_max

Maximum of Flow

Flow_min

Minimum of Flow

Flow_mean

Mean of Flow

Flow_median

Median of Flow

Flow_stdev

Standard Deviation of Flow

Flow_coef_var

Coeffiecient of Variation of Flow

Flow_max_dnorm

Maximum of Flow normalized by drainage area

Flow_min_dnorm

Minimum of Flow normalized by drainage area

Flow_mean_dnorm

Mean of Flow normalized by drainage area

Flow_med_dnorm

Median of Flow normalized by drainage area

Flow_max_sdnorm

Maximum of Flow normalized by drainage area

Flow_min_sdnorm

Minimum of Flow normalized by standard deviation

Flow_mean_sdnorm

Mean of Flow normalized by standard deviation

Flow_med_sdnorm

Median of Flow normalized by standard deviation

Flow_sd_norm

Standard Deviation of Flow normalized by standard deviation

decade

decade

COMID

comid of site

DamIndex

dam index

Value

a tibble

Options

Description

Options

Usage

wwOptions(
  date_range = "pfn",
  period = 11,
  dates = NULL,
  site_status = "all",
  floor_iv = "1 hour",
  ...
)

Arguments

Value

A list with API options.

Note

A site is considered active if; it has collected time-series (automated) data within the last 183 days (6 months) or it has collected discrete (manually collected) data within 397 days (13 months).

Examples

## Not run: 

library(whitewater)
yaak_river_dv <- ww_dvUSGS('12304500',
parameter_cd = '00060',
wy_month = 10)

yaak_river_iv <- ww_floorIVUSGS(yaak_river_dv)

#change floor method

yaak_river_iv <- ww_floorIVUSGS(yaak_river_dv,
                                options = wwOptions(floor_iv = '6-hour'))

#change number of days

yaak_river_iv <- ww_floorIVUSGS(yaak_river_dv,
                                options = wwOptions(floor_iv = '2-hour',
                                                    period = 365))

# get by date range


yaak_river_wy <- ww_floorIVUSGS(yaak_river_dv,
                                options = wwOptions(date_range = 'date_range',
                                                    dates = c('2022-03-01', '2022-05-11')))


# site status as 'active'

yaak_river_wy <- ww_floorIVUSGS(yaak_river_dv,
                                options = wwOptions(site_status = 'active',
                                                    date_range = 'date_range',
                                                    dates = c('2022-03-01', '2022-05-11')))

## End(Not run)

Get Current Conditions

Description

Get Current Conditions

Usage

ww_current_conditions()

Value

a tibble with current conditions and attributes from USGS dashboard.

Note

The time zone used in the URL call is the R session time zone. Also, the time is 1-hour behind. Here are the attributes that are with the data.frame: AgencyCode,SiteNumber,SiteName,SiteTypeCode,Latitude,Longitude, CurrentConditionID,ParameterCode,TimeLocal,TimeZoneCode,Value, ValueFlagCode,RateOfChangeUnitPerHour,StatisticStatusCode,FloodStageStatusCode.

Examples

## Not run: 

current_conditions <- ww_current_conditions()


## End(Not run)

Process USGS daily values

Description

This function is a wrapper around readNWISdv but includes added variables like water year, lat/lon, station name, altitude and tidied dates.

Usage

ww_dvUSGS(
  sites,
  parameter_cd = "00060",
  start_date = "",
  end_date = "",
  stat_cd = "00003",
  parallel = FALSE,
  wy_month = 10,
  verbose = TRUE,
  ...
)

Arguments

Value

A tibble with daily metrics and added meta-data.

Note

Use it the same way you would use readNWISdv.

Examples

## Not run: 

library(whitewater)
yaak_river_dv <- ww_dvUSGS('12304500',
parameter_cd = '00060',
wy_month = 10)

#parallel

#get sites

huc17_sites <- dataRetrieval::whatNWISdata(huc = 17,
siteStatus = 'active',
service = 'dv',
parameterCd = '00060')

library(future)
#need to call future::plan()
plan(multisession(workers = availableCores()-1))

pnw_dv <- ww_dvUSGS(huc17_sites$site_no,
parameter_cd = '00060',
wy_month = 10,
parallel = TRUE)


## End(Not run)

Floor IV USGS

Description

This function generates instantaneous NWIS data from https://waterservices.usgs.gov/ and then floors to a user defined interval with wwOptions ('1 hour' is default) by taking the mean.

Usage

ww_floorIVUSGS(
  procDV,
  sites = NULL,
  parameter_cd = NULL,
  options = wwOptions(),
  parallel = FALSE,
  verbose = TRUE,
  ...
)

Arguments

Value

A tibble with a user defined interval time step.

Note

For performance reasons, with multi-site retrievals you may retrieve data since October 1, 2007 only. If a previously created ww_dvUSGS object is not used then the user needs to provide a sites vector. This will run ww_dvUSGS in the background.

Examples

## Not run: 

library(whitewater)
yaak_river_dv <- ww_dvUSGS('12304500',
parameter_cd = '00060',
wy_month = 10)

yaak_river_iv <- ww_floorIVUSGS(yaak_river_dv)

#change floor method

yaak_river_iv <- ww_floorIVUSGS(yaak_river_dv,
                                options = wwOptions(floor_iv = '6-hour'))

#change number of days

yaak_river_iv <- ww_floorIVUSGS(yaak_river_dv,
                                options = wwOptions(floor_iv = '2-hour',
                                                    period = 365))

# get by date range


yaak_river_wy <- ww_floorIVUSGS(yaak_river_dv,
                                options = wwOptions(date_range = 'date_range',
                                                    dates = c('2022-03-01', '2022-05-11')))

#parallel

#get sites

huc17_sites <- dataRetrieval::whatNWISdata(huc = 17,
siteStatus = 'active',
service = 'dv',
parameterCd = '00060')

library(future)
#need to call future::plan()
plan(multisession(workers = availableCores()-1))

pnw_dv <- ww_dvUSGS(huc17_sites$site_no,
parameter_cd = '00060',
wy_month = 10,
parallel = TRUE)

pnw_iv <- ww_floorIVUSGS(pnw_dv,
                    parallel = TRUE)

## End(Not run)

Instantaneous USGS

Description

This function generates Instantaneous NWIS data from https://waterservices.usgs.gov/.

Usage

ww_instantaneousUSGS(
  procDV,
  sites = NULL,
  parameter_cd = NULL,
  options = wwOptions(),
  parallel = FALSE,
  verbose = TRUE,
  ...
)

Arguments

Value

A tibble with instantaneous values.

Note

For performance reasons, with multi-site retrievals you may retrieve data since October 1, 2007 only. If a previously created ww_dvUSGS object is not used then the user needs to provide a sites vector. This will run ww_dvUSGS in the background.

Examples

## Not run: 

library(whitewater)
yaak_river_dv <- ww_dvUSGS('12304500',
parameter_cd = '00060',
wy_month = 10)

yaak_river_iv <- ww_instantaneousUSGS(yaak_river_dv)

#change number of days

yaak_river_iv <- ww_instantaneousUSGS(yaak_river_dv,
                                options = wwOptions(period = 365))

# get by date range

yaak_river_wy <- ww_instantaneousUSGS(yaak_river_dv,
                                options = wwOptions(date_range = 'date_range',
                                                    dates = c('2022-03-01', '2022-05-11')))

# get most recent

yaak_river_wy <- ww_instantaneousUSGS(yaak_river_dv,
                                options = wwOptions(date_range = 'recent'))

#parallel

#get sites

huc17_sites <- dataRetrieval::whatNWISdata(huc = 17,
siteStatus = 'active',
service = 'dv',
parameterCd = '00060')

library(future)
#need to call future::plan()
plan(multisession(workers = availableCores()-1))

pnw_dv <- ww_dvUSGS(huc17_sites$site_no,
parameter_cd = '00060',
wy_month = 10,
parallel = TRUE)

pnw_iv <- ww_instantaneousUSGS(pnw_dv,
                    parallel = TRUE)

## End(Not run)

Month-Only Stats (USGS)

Description

This function uses the results of the ww_dvUSGS object to generate mean, maximum, median, standard deviation and coefficient of variation for month only.

Usage

ww_monthUSGS(procDV, sites = NULL, parallel = FALSE, verbose = TRUE, ...)

Arguments

Value

A tibble filtered by month and added meta-data.

Note

If a previously created ww_dvUSGS object is not used then the user needs to provide a sites vector. This will run ww_dvUSGS in the background.

Examples

## Not run: 

library(whitewater)
yaak_river_dv <- ww_dvUSGS('12304500',
parameter_cd = '00060',
wy_month = 10)

yaak_river_month <- ww_monthUSGS(yaak_river_dv)


## End(Not run)

Get Peak Flows

Description

Get Peak Flows

Usage

ww_peakUSGS(sites, parallel = FALSE, wy_month = 10, verbose = TRUE, ...)

Arguments

Value

a tibble with peaks by water year

USGS stats

Description

This function uses the readNWISstat to gather daily, monthly or yearly percentiles.

Usage

ww_statsUSGS(
  procDV,
  sites = NULL,
  temporalFilter = "daily",
  parameter_cd = NULL,
  days = 10,
  parallel = FALSE,
  verbose = TRUE,
  ...
)

Arguments

Value

a tibble with associated site statistics.

Note

Be aware, the parameter values ('Flow', 'Wtemp', etc) are calculated from the ww_floorIVUSGS function by taking the daily mean of the hourly data. Thus, the instantaneous values will look different than the daily mean values, as it should. The .temporalFilter argument is used to generate the window of percentiles.

Examples

## Not run: 
# get by date range

yaak_river_dv <- ww_dvUSGS('12304500')

#daily
yaak_river_stats <- ww_statsUSGS(yaak_river_dv,
                                 temporalFilter = 'daily',
                                 days = 10)
#monthly
yaak_river_stats <- ww_statsUSGS(yaak_river_dv,
                                 temporalFilter = 'monthly',
                                 days = 10)
#yearly
yaak_river_stats <- ww_statsUSGS(yaak_river_dv,
                                 temporalFilter = 'yearly',
                                 days = 10)

## End(Not run)

Water Year Stats (USGS)

Description

This function uses the results of the ww_dvUSGS object to generate mean, maximum, median, standard deviation and some normalization methods (drainage area, scaled by log and standard deviation) per water year.

Usage

ww_wyUSGS(procDV, sites = NULL, parallel = FALSE, verbose = TRUE, ...)

Arguments

Value

A tibble filtered by water year with added meta-data.

Note

If a previously created ww_dvUSGS object is not used then the user needs to provide a sites vector. This will run ww_dvUSGS in the background.

Examples

## Not run: 

library(whitewater)
yaak_river_dv <- ww_dvUSGS('12304500',
parameter_cd = '00060',
wy_month = 10)

yaak_river_wy <- ww_wyUSGS(yaak_river_dv)

#parallel

#get sites

huc17_sites <- dataRetrieval::whatNWISdata(huc = 17,
siteStatus = 'active',
service = 'dv',
parameterCd = '00060')

library(future)
#need to call future::plan()
plan(multisession(workers = availableCores()-1))

pnw_dv <- ww_dvUSGS(huc17_sites$site_no,
parameter_cd = '00060',
wy_month = 10,
parallel = TRUE)

pnw_wy <- ww_wyUSGS(pnw_dv,
                    parallel = TRUE)

## End(Not run)

Water Year & Monthly Stats (USGS)

Description

This function uses the results of the ww_dvUSGS object to generate mean, maximum, median, standard deviation and coefficient of variation per water year per month.

Usage

ww_wymUSGS(procDV, sites = NULL, parallel = FALSE, verbose = TRUE, ...)

Arguments

Value

A tibble filtered by water year and month with added meta-data.

Note

If a previously created ww_dvUSGS object is not used then the user needs to provide a sites vector. This will run ww_dvUSGS in the background.

Examples

## Not run: 

library(whitewater)
yaak_river_dv <- ww_dvUSGS('12304500',
parameter_cd = '00060',
wy_month = 10)

yaak_river_wym <- ww_wymUSGS(yaak_river_dv)


## End(Not run)