spwb_land_day | R Documentation |
Functions to perform one-day simulations on a watershed described by a set of connected grid cells.
Function spwb_land_day
implements a distributed hydrological model that simulates daily local water balance, from spwb_day
,
on grid cells of a watershed while accounting for overland runoff, subsurface flow and groundwater flow between cells.
Function growth_land_day
is similar to spwb_land_day
, but includes daily local carbon balance, growth and mortality processes in grid cells,
provided by growth_day
.
spwb_land_day(
r,
sf,
SpParams,
meteo = NULL,
date = NULL,
local_control = medfate::defaultControl(soilDomains = "single"),
watershed_control = default_watershed_control(),
progress = TRUE
)
growth_land_day(
r,
sf,
SpParams,
meteo = NULL,
date = NULL,
local_control = medfate::defaultControl(soilDomains = "single"),
watershed_control = default_watershed_control(),
progress = TRUE
)
r |
An object of class |
sf |
An object of class |
SpParams |
A data frame with species parameters (see |
meteo |
Input meteorological data (see |
date |
A string with the date to be simulated. |
local_control |
A list of control parameters (see |
watershed_control |
A list of watershed control parameters (see |
progress |
Boolean flag to display progress information for simulations. |
See details in spwb_land
. Subwatershed units and parallelization are not possible, at present, for single-day watershed simulations.
Functions spwb_land_day
and spwb_land_day
return a sf object:
geometry
: Spatial geometry.
state
: A list of model input objects for each simulated stand.
aquifer
: A numeric vector with the water volume in the aquifer of each cell.
snowpack
: A numeric vector with the snowpack water equivalent volume of each cell.
result
: A list of cell detailed results (only for those indicated in the input), with contents depending on the local model.
outlet
: A logical vector indicating outlet cells (for subsequent simulations).
outlet_backlog
: A list vector indicating channel backlog of outlet cells.
MinTemperature
: Minimum temperature (degrees Celsius).
MaxTemperature
: Maximum temperature (degrees Celsius).
PET
: Potential evapotranspiration (in mm).
Rain
: Rainfall (in mm).
Snow
: Snowfall (in mm).
Snowmelt
: Snow melt (in mm).
Interception
: Rainfall interception (in mm).
NetRain
: Net rainfall, i.e. throughfall, (in mm).
Infiltration
: The amount of water infiltrating into the soil (in mm).
InfiltrationExcess
: The amount of water exceeding the soil infiltration capacity (in mm).
SaturationExcess
: The amount of water that reaches the soil surface because of soil saturation (in mm).
Runoff
: The amount of water exported via surface runoff (in mm).
DeepDrainage
: The amount of water draining from soil to the aquifer via deep drainage (in mm).
CapillarityRise
: Water entering the soil via capillarity rise (mm) from the water table.
SoilEvaporation
: Bare soil evaporation (in mm).
Transpiration
: Woody plant transpiration (in mm).
HerbTranspiration
: Herbaceous transpiration (in mm).
InterflowInput
: The amount of water that reaches the soil of the cell from adjacent cells via subsurface flow (in mm).
InterflowOutput
: The amount of water that leaves the soil of the cell towards adjacent cells via subsurface flow (in mm).
InterflowBalance
: The balance of water circulating via subsurface flow (in mm).
BaseflowInput
: The amount of water that reaches the aquifer of the cell from adjacent cells via groundwater flow (in mm).
BaseflowOutput
: The amount of water that leaves the aquifer of the cell towards adjacent cells via groundwater flow (in mm).
BaseflowBalance
: The balance of water circulating via groundwater flow (in mm).
AquiferExfiltration
: The amount of water of the cell that generates surface runoff due to the aquifer reaching the soil surface (in mm).
Miquel De Cáceres Ainsa, CREAF.
Maria González-Sanchís, Universitat Politecnica de Valencia.
Daniel Caviedes-Voullième, Forschungszentrum Julich.
Mario Morales-Hernández, Universidad de Zaragoza.
Francés, F., Vélez, J.I. & Vélez, J.J. (2007). Split-parameter structure for the automatic calibration of distributed hydrological models. Journal of Hydrology, 332, 226–240.
Caviedes-Voullième, D., Morales-Hernández, M., Norman, M.R. & Ogzen-Xian, I. (2023). SERGHEI (SERGHEI-SWE) v1.0: a performance-portable high-performance parallel-computing shallow-water solver for hydrology and environmental hydraulics. Geoscientific Model Development, 16, 977-1008.
default_watershed_control
, spwb_day
, growth_day
,
spwb_land
,
# Load example watershed data after burnin period
data("example_watershed_burnin")
# Set request for daily model results in cells number 3, 6 (outlet) and 9
example_watershed_burnin$result_cell <- FALSE
example_watershed_burnin$result_cell[c(3,6,9)] <- TRUE
# Get bounding box to determine limits
b <- sf::st_bbox(example_watershed_burnin)
b
# Define a raster topology, using terra package,
# with the same CRS as the watershed. In this example cells have 100 m side.
# Coordinates in the 'sf' object are assumed to be cell centers
r <-terra::rast(xmin = 401380, ymin = 4671820, xmax = 402880, ymax = 4672620,
nrow = 8, ncol = 15, crs = "epsg:32631")
# Load example meteo data frame from package meteoland
data("examplemeteo")
# Load default medfate parameters
data("SpParamsMED")
# Watershed control parameters (TETIS model; Frances et al. 2007)
ws_control <- default_watershed_control("tetis")
# Launch simulation
date <- "2001-03-01"
sf_out <- spwb_land_day(r, example_watershed_burnin, SpParamsMED, examplemeteo,
date = date,
watershed_control = ws_control)
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