optimizeVPRM_DE: run DEoptim to estimate VPRM parameter values

In Timothy-W-Hilton/VPRMLandSfcModel: R implementation of VPRM with parameter estimation

run DEoptim to estimate VPRM parameter values

Description

define VPRM parameter windows (upper and lower) and call DEoptim to estimate VPRM parmeters. Helper function for estimate_VPRM_pars.

Usage

optimizeVPRM_DE(
  driver_data,
  DEcontrol,
  refresh = 5,
  msg = "",
  lambda_prior = c(0, 1.5),
  alpha_prior = c(0, 1.5),
  beta_prior = c(-4, 4),
  PAR0_prior = c(0.1, 6000),
  model_form = "Mahadevan07"
)

Arguments

driver_data	May be a VPRM_driver_data object or a data frame. If a data frame, driver_data must contain the variables Tscale, Pscale, Wscale, EVI, and PAR, and NEE_obs.
DEcontrol	DEoptim.control object
refresh	how many DE iterations in between progress writeouts
msg	character string; message to be displayed before DE is called. Useful for log files.
lambda_prior	2-element vector; upper and lower lambda values for optimization. Default is c(0.0, 1.5).
alpha_prior	2-element vector; upper and lower alpha values for optimization. Default is c(0.0, 1.5).
beta_prior	2-element vector; upper and lower beta values for optimization. Default is c(-4.0, 4.0).
PAR0_prior	2-element vector; upper and lower PAR_0 values for optimization. Default is c(0.1, 6000).
model_form	string, optional; form of VPRM model to use. Options are "Mahadevan07" (default) to use the VPRM formulation of Mahadevan et al. (2007), or "urban" to use the urbanVPRM formulation of Hardiman et al. (2017). If set to "urban", the driver data must include variables ISA proportion (impervious surface area, 0.0 to 1.0) and refEVI (reference EVI).

Value

DEoptim object. DEoptim output for best VPRM parameter estimate.

Author(s)

Timothy W. Hilton

References

Mahadevan, P., Wofsy, S., Matross, D., Xiao, X., Dunn, A., Lin, J., Gerbig, C., Munger, J., Chow, V., and Gottlieb, E.: A satellite-based biosphere parameterization for net ecosystem CO2 exchange: Vegetation Photosynthesis and Respiration Model (VPRM), Global Biogeochem. Cy., 22, GB2005, doi:10.1029/2006GB002735, 2008.

Hardiman, B. S., Wang, J. A., Hutyra, L. R., Gately, C. K., Getson, J. M., & Friedl, M. A. (2017). Accounting for urban biogenic fluxes in regional carbon budgets. Science of The Total Environment, 592, 366–372. https://doi.org/10.1016/j.scitotenv.2017.03.028

Examples

data(Park_Falls)

Timothy-W-Hilton/VPRMLandSfcModel documentation built on July 29, 2023, 8:43 p.m.