autoPIHMgis: Automatically run PIHMgis based on the input data and...

In happynotes/PIHMgisR: GIS Tool for Preparing Input of PIHM

Description

Automatically run PIHMgis based on the input data and parameters. autoPIHMgis

Usage

autoPIHMgis(indata, forcfiles, prjname = "sac", outdir = getwd(),
  a.max = 1e+06 * 0.2, q.min = 33, tol.riv = 200, tol.wb = 200,
  tol.len = 500, AqDepth = 10, years = 2000:2010, clean = TRUE,
  cfg.para = pihmpara(nday = 365 * length(years) +
  round(length(years)/4)), cfg.calib = pihmcalib(),
  mf = MeltFactor(years = years), rm.outlier = TRUE, backup = TRUE)

Arguments

indata	Input data, list of data.
forcfiles	Filenames of .csv forcing data
prjname	Projectname
outdir	Output directory
a.max	Maximum area of triangles. Unit=m2
q.min	Minimum of angles for each triangle
tol.riv	Tolerance to simplify river lines, in meter
tol.wb	Tolerance to simplify watershed boundary, in meter
tol.len	Tolerance to simplyfy river by longituanal length, meter.
AqDepth	Depth of aquifer bottom, which is surface elemvation minus bedrock elevation. meter.
years	Years to generate the LAI, Meltfactor, Roughness Length, which must be same as the period of forcing data.
clean	Whether clean the existing model files in output directory.
cfg.para	model configuration, parameter
cfg.calib	model calibration
mf	Meltfactor
rm.outlier	Whether to remove the outlier in soil/geol;
backup	Whether to write backup files.

Value

PIHM.mesh

Examples

data(sac)
indata = sac
sp.forc =indata[['forc']]
forc.fns = paste0(sp.forc@data[, 'NLDAS_ID'], '.csv')
forc.fns

happynotes/PIHMgisR documentation built on Jan. 25, 2020, 9:51 p.m.