View source: R/run_pmodel_f_bysite.R
run_pmodel_f_bysite | R Documentation |
Call to the Fortran P-model
run_pmodel_f_bysite(
sitename,
params_siml,
site_info,
forcing,
params_modl,
makecheck = TRUE,
verbose = TRUE
)
sitename |
Site name. |
params_siml |
Simulation parameters.
|
site_info |
A list of site meta info. Required:
|
forcing |
A data frame of forcing climate data, used as input
(see |
params_modl |
A named list of free (calibratable) model parameters.
|
makecheck |
A logical specifying whether checks are performed
to verify forcings and model parameters. |
verbose |
A logical specifying whether to print warnings.
Defaults to |
Depending on the input model parameters, it's possible to run the different P-model setups presented in Stocker et al. 2020 GMD. The P-model version implemented in this package allows more flexibility than the one presented in the paper, with the following functions:
The temperature dependence of the quantum yield efficiency is given by:
\varphi_0 (T) = c (1 + a (T - b)^2 )
if 0 < c (1 + a (T - b)^2 ) < 1
,
\varphi_0 (T) = 0
if c (1 + a (T - b)^2 ) \leq 0
, and
\varphi_0 (T) = 1
if c (1 + a (T - b)^2 ) \geq 1
.
The ORG setup can be reproduced by setting kphio_par_a = 0
and calibrating the kphio
parameter only.
The BRC setup (which calibrates c_L = \frac{a_L b_L}{4}
in Eq. 18) is more difficult to reproduce,
since the temperature-dependency has been reformulated and a custom cost
function would be necessary for calibration. The new parameters
are related to c_L
as follows:
a = -0.0004919819
b = 32.35294
c = 0.6910823 c_L
The soil moisture stress is implemented as
\beta(\theta) = \frac{\beta_0 - 1}{{\theta^{*}}^2}
(\theta - \theta^{*})^2 + 1
if
0 \leq \theta \leq \theta^{*}
and
\beta(\theta) = 1
if \theta > \theta^{*}
.
In Stocker et al. 2020 GMD, the threshold plant-available soil water is set as
\theta^{*}
= 0.6 * whc
where whc
is the site's water holding capacity. Also,
the \beta
reduction at low soil moisture (\beta_0 = \beta(0)
) was parameterized
as a linear function of mean aridity (Eq. 20 in Stocker et al. 2020 GMD) but is
considered a constant model parameter in this package.
Hence, the FULL calibration setup cannot be
exactly replicated.
Model output is provided as a tidy dataframe, with columns:
date
Date of the observation in YYYY-MM-DD format.
year_dec
Decimal representation of year and day of the year (for example, 2007.000 corresponds to 2007-01-01 and 2007.003 to 2007-01-02.
fapar
Fraction of photosynthetic active radiation (fAPAR), taking values between 0 and 1.
gpp
Gross Primary Productivity (GPP) for each time stamp
(in gC m^{-2}
d^{-1}
).
aet
Actual evapotranspiration (AET), calculated by SPLASH following Priestly-Taylor (in mm d^{-1}
).
le
Latent heat flux (in J m^{-2}
d^{-1}
).
pet
Potential evapotranspiration (PET), calculated by SPLASH following Priestly-Taylor (in mm d^{-1}
).
vcmax
Maximum rate of RuBisCO carboxylation
(Vcmax) (in mol C m^{-2}
d^{-1}
).
jmax
Maximum rate of electron transport for RuBP regeneration
(in mol CO_2
m^{-2}
s^{-1}
).
vcmax25
Maximum rate of carboxylation (Vcmax),
normalised to 25^o
C (in mol C m^{-2}
d^{-1}
).
jmax25
Maximum rate of electron transport, normalised to
25^o
C (in mol C m^{-2}
s^{-1}
).
gs_accl
Acclimated stomatal conductance (in
mol C m^{-2}
d^{-1}
Pa^{-1}
).
wscal
Relative soil water content, between 0 (permanent wilting point, PWP) and 1 (field capacity, FC).
chi
Ratio of leaf-internal to ambient CO_{2}
, ci:ca (unitless).
iwue
Intrinsic water use efficiency (iWUE) (in Pa).
rd
Dark respiration (Rd) in gC m^{-2}
d^{-1}
.
tsoil
Soil temperature, in ^{o}
C.
netrad
Net radiation, in W m^{-2}
. If not an input driver, calculated by SPLASH.
wcont
Soil water content, in mm.
snow
Snow water equivalents, in mm.
# Define model parameter values from previous work
params_modl <- list(
kphio = 0.04998, # setup ORG in Stocker et al. 2020 GMD
kphio_par_a = 0.0, # disable temperature-dependence of kphio
kphio_par_b = 1.0,
soilm_thetastar = 0.6 * 240, # old setup with soil moisture stress
soilm_betao = 0.0,
beta_unitcostratio = 146.0,
rd_to_vcmax = 0.014, # from Atkin et al. 2015 for C3 herbaceous
tau_acclim = 30.0,
kc_jmax = 0.41
)
# Run the Fortran P-model
mod_output <- run_pmodel_f_bysite(
# unnest drivers example data
sitename = p_model_drivers$sitename[1],
params_siml = p_model_drivers$params_siml[[1]],
site_info = p_model_drivers$site_info[[1]],
forcing = p_model_drivers$forcing[[1]],
params_modl = params_modl
)
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