Create_Forcing_Inputs: Extract and prepare model's inputs data in the airGR format...

In hllauca/GR2MSemiDistr: A package for hydrological modeling with a semi-distribute GR2M model adaptation in large-sample studies.

Extract and prepare model's inputs data in the airGR format (DatesR, P and E) from gridded P and E monthly data.

Description

Extract and prepare model's inputs data in the airGR format (DatesR, P and E) from gridded P and E monthly data.

Usage

Create_Forcing_Inputs(
  Subbasins,
  Precip,
  PotEvap,
  Qobs = NULL,
  DateIni,
  DateEnd,
  IniGrids = "01/1981",
  Save = FALSE,
  Update = FALSE,
  Resolution = 0.01,
  Buffer = 1.1,
  Members = NULL
)

Arguments

Subbasins	Subbasins' shapefile. Must contain the following attributes: 'Area' (in km2), 'Region' (in letters), and 'COMID' (identifier number).
Precip	Raster brick of the precipitation data in [mm/month].
PotEvap	Raster brick of the evapotranspiration data in [mm/month].
Qobs	Observed streamflow data in [m3/s] at the basin outlet. Must have the dates of the output dataset.
DateIni	Initial date of the output database in 'mm/yyyy' format.
DateEnd	Ending date of the output database in 'mm/yyyy' format.
IniGrids	Initial date of the gridded data (P and PE) in 'mm/yyy' format.
Save	Boolean to save results as a text file in the 'Outputs' location. FALSE as default.
Update	Boolean for the updating mode where only the last month's values will be returned. FALSE as default.
Resolution	Resampling resolution for improving subbasins' data extraction. 0.01degrees as default.
Buffer	Factor for increase subbasins' limits extents. 1.1 as default.
Members	Número de miembros del conjunto modelo. Only for streamflow forecasting purposes. NULL por defecto.

Value

Return a dataframe of model's inputs data in the airGR format (DatesR, P, E, Q).

References

Cesar Aybar, Carlos Fernández, Adrian Huerta, Waldo Lavado, Fiorella Vega & Oscar Felipe-Obando (2020) Construction of a high-resolution gridded rainfall dataset for Peru from 1981 to the present day, Hydrological Sciences Journal, 65:5, 770-785, DOI: 10.1080/02626667.2019.1649411

Llauca H, Lavado-Casimiro W, Montesinos C, Santini W, Rau P. PISCO_HyM_GR2M: A Model of Monthly Water Balance in Peru (1981–2020). Water. 2021; 13(8):1048. https://doi.org/10.3390/w13081048

Examples

# Load data
require(GR2MSemiDistr)
data(pisco_pr)
data(pisco_pe)
data(qobs)
data(roi)

# Create a database with model's inputs data
data <- Create_Forcing_Inputs(Subbasins=roi,
                              Precip=pisco_pr,
                              PotEvap=pisco_pe,
                              Qobs=qobs,
                              DateIni='01/1981',
                              DateEnd='12/2016',
                              IniGrids='01/1981')
View(data)

hllauca/GR2MSemiDistr documentation built on March 2, 2024, 3:33 a.m.