In rabutler/CRSSIO: Package to Manage the Input and Output of CRSS Data

CRSSIO

Stable version (v0.6.3):

Development version:

R Package to manage code for manipulating the input and output data for CRSS.

Usage

The CRSSIO package includes functions for manipulating and creating input data necessary to run CRSS and for processing CRSS output data. It uses a "prefix_verb_noun" naming system for most functions. Functions that create input for CRSS use the crssi_ prefix, while those that process CRSS output use the crsso_ prefix. The nf_, natsalt_, and ism_ prefixes are also used for multiple functions that deal with natural flow names, natural salt names, and with ISM related functions.

Functions that use the create verb will create files on the user's computer. Functions that use the change verb will edit files that already exist on the user's computer. Functions that use the get verb will return data.

The final noun of the function describes what is created or retrieved. Ex: crssi_create_dnf_files() creates the DNF (direct natural flow) files.

crssi_

• Create CRSS input files with crssi_create_dnf_files(), crssi_create_cmip_nf_files(), and crssi_create_hist_nf_xlsx()
• These files can also be created with a GUI through an R Studio Addin (see ?crss_input_addin)
• Modify existing CRSS natural flow input files with crssi_change_nf_start_date(), crssi_change_nf_file_names(), and crssi_change_evap_files()
• trimCCNFFiles trims the climate change hydrology input files to a specified time period

crsso_

• sys_cond_matrix() and crsso_get_sys_cond_table() help create the standard System Conditions Table from CRSS output. Commonly referred to as the "5-year table" but it can go through as many years as simulation data exists. Ex:

library(CRSSIO)
library(RWDataPlyr) # install_github("BoulderCodeHub/RWDataPlyr")
# create the RiverWare data aggregator
rwa <- sys_cond_rwa()

# use example data in RWDataPlyr to create system condition table
# first get all of the data
scenFolder <- "ISM1988_2014,2007Dems,IG,Most"
scenName <- "scenA"
scenPath <- system.file('extdata','Scenario/',package = 'RWDataPlyr')
sysData <- RWDataPlyr::rdf_aggregate(
  rwa,
  rdf_dir = file.path(scenPath, scenFolder),
  scenario = scenName
)

# then create the system condition table
sysCondTable <- crsso_get_sys_cond_table(sysData, 2018:2022)
# sysCondTable[['limitedTable']] to access results

Natural Flow and Salt Names

• Vectors of the natural flow gage names (nf_gage_names()), along with corresponding CRSS natural inflow input slot names (nf_file_names()), corresponding CRSS natural salt input slot names (natsalt_file_names()), and corresponding abbreviated, i.e., variable, names (nf_gage_abbrv()).

Other CRSS Functions

• elevation_to_storage() converts elevations to storage values for reservoirs modeled in CRSS.
• ism_get_site_matrix() applies the index sequential method (ISM) to a single time series of data.

Installation

Only available from GitHub. Use the following to install:

install.packages('devtools')
library(devtools)
devtools::install_github('BoulderCodeHub/CRSSIO')

Log:

For details, see the News

• 2018-11-29: version 0.6.3 available
• 2018-03-23: version 0.6.2 available
• 2018-01-23: version 0.6.1 available
• 2018-01-17: version 0.6.0 available
• 2017-08-30: version 0.5.0 available
• 2017-05-10: version 0.4.1 available
• 2017-03-31: version 0.4.0 available
• 2016-10-04: version 0.3 available
• 2016-05-30: version 0.2.1 available
• 2016-05-05: version 0.2 available
• 2015-02-10: version 0.1 available

rabutler/CRSSIO documentation built on May 26, 2019, 8:51 p.m.