Generate synthetic environmental data for ZooMSS testing

Creates simple synthetic environmental time series with optional seasonal variation for testing ZooMSS model runs when real environmental data is not available.

Usage

createEnviroData(
  n_years,
  dt,
  base_sst = 15,
  base_chl = 0.5,
  seasonal = TRUE,
  sst_amplitude = 3,
  chl_amplitude = 0.2
)

Arguments

n_years

Number of years to generate

dt

Time step size in years

base_sst

Base sea surface temperature in deg C (default: 15)

base_chl

Base chlorophyll concentration in mg/m^3 (default: 0.5)

seasonal

Logical, whether to add seasonal variation (default: TRUE)

sst_amplitude

Amplitude of SST seasonal variations in deg C (default: 3)

chl_amplitude

Amplitude of chlorophyll seasonal variations in mg/m^3 (default: 0.2)

Value

Data frame with columns: time, sst, chl

Details

Create Environmental Time Series

This function generates synthetic sea surface temperature and chlorophyll time series that can be used for testing ZooMSS model behavior. The function can create either static environmental conditions or seasonal cycles with sinusoidal variation. This is particularly useful for:

• Testing model sensitivity to environmental forcing

• Creating idealized scenarios for model exploration

• Generating data when real environmental data is unavailable

The seasonal option creates SST and chlorophyll cycles that are out of phase, mimicking typical ocean patterns where chlorophyll peaks when SST is lower.

Examples

# Create seasonal environmental data
env_data <- createEnviroData(
  n_years = 10,
  dt = 0.01,
  seasonal = TRUE
)

# Create static environmental conditions
static_data <- createEnviroData(
  n_years = 5,
  dt = 0.01,
  seasonal = FALSE,
  base_sst = 20,
  base_chl = 1.0
)