Simple abiotic model configuration

[See also the configuration details]

Configuration for the abiotic_simple model includes two sections:

• A small set of constants values ([abiotic_simple.constants]), and

• A set of upper and lower bounds on the predicted microclimate variables ([abiotic_simple.bounds]).

In both cases, these default configuration will probably be enough to get an initial configuration running for your simulation but may then need to be adjusted for your study system.

Abiotic simple constants

[abiotic_simple.constants]
leaf_emissivity = 0.98
soil_emissivity = 0.95
placeholder = 10.0

abiotic_simple.constants.leaf_emissivity

Leaf emissivity, unitless.

Leaf emissivity is a measure of how efficiently a leaf emits thermal radiation compared to a perfect blackbody, typically ranging from 0.95 to 0.99. Value for tropical vegetation is taken from Ma et al. (2019). Default = 0.98

abiotic_simple.constants.soil_emissivity

Soil emissivity, dimensionless.

Soil emissivity is a measure of how efficiently the soil surface emits thermal radiation compared to a perfect blackbody, with values typically ranging from 0.90 to 0.98 depending on soil texture, moisture, and surface roughness. Value taken from Mölders (2005). Default = 0.95

abiotic_simple.constants.placeholder

Placeholder value for test. Default = 10.0

Abiotic simple bounds

[abiotic_simple.constants]
air_temperature = [
    -20.0,
    80.0,
    -1.27,
]
relative_humidity = [
    0.001,
    99.999,
    5.4,
]
vapour_pressure_deficit = [
    0.001,
    10.0,
    -252.24,
]
wind_speed = [
    0.001,
    100.0,
    -0.1,
]
soil_temperature = [
    -10.0,
    50.0,
]

abiotic_simple.constants.air_temperature

Bounds and gradient for air temperature, [C].

Gradient for linear regression to calculate air temperature as a function of leaf area index from Hardwick et al. (2015). Default = (-20.0, 80.0, -1.27)

abiotic_simple.constants.relative_humidity

Bounds and gradient for relative humidity, dimensionless.

Gradient for linear regression to calculate relative humidity as a function of leaf area index from Hardwick et al. (2015). Default = (0.001, 99.999, 5.4)

abiotic_simple.constants.vapour_pressure_deficit

Bounds and gradient for vapour pressure deficit, [kPa].

Gradient for linear regression to calculate vapour pressure deficit as a function of leaf area index from Hardwick et al. (2015). Default = (0.001, 10.0, -252.24)

abiotic_simple.constants.wind_speed

Bounds and gradient for wind speed, [m s-1].

Gradient for linear regression to calculate wind speed as a function of leaf area index. The value is choses arbitrarily and needs to be replaced with observations. Default = (0.001, 100.0, -0.1)

abiotic_simple.constants.soil_temperature

Bounds for soil temperature, [C]. Default = (-10.0, 50.0)