EPIC - crop.leaves¶

class mef_agri.models.crop.leaves.model_epic.Leaves(**kwargs)¶

Model which computes the leaf area index according to [R2] (no biomass, …).

gc()¶

RQ - 'growth_constraint' from model with id 'crop.stress'

\(c_{\textrm{gc},k}\ [\ ]\)

hufl()¶

RQ - 'heat_unit_factor_leaves' from model with id 'crop.development'

\(c_{\textrm{L-huf},k}\ [\ ]\)

hui()¶

RQ - 'heat_unit_index' from model with id 'crop.development'

\(c_{\textrm{D-hui},k}\ [\ ]\)

hui_leaf_decline()¶

MQ - Hyper-Parameter

\(c_{\textrm{L-hld},0}\ [\ ]\) - [R2] (equ. 10, table 2)

initialize(epoch)¶

Initialize class-intern variables and lai_rate_pot() with a zero vector.

lai()¶

MQ - State

\(c_{\textrm{L-lai},k}\ [\ ]\) - [R2] (equ. 7)

lai_max()¶

MQ - Hyper-Parameter

\(c_{\textrm{L-lmx},0}\ [\ ]\) - [R2] (equ. 8, table 2)

lai_rate_pot()¶

MQ - Random Output

\(c_{\textrm{L-lrp},k}\ [\ ]\) - [R2] (equ. 8)

lai_regr_coeff()¶

MQ - Hyper-Parameter

\(c_{\textrm{L-lc},0}\ [\ ]\) - [R2] (equ. 10, table 2)

update(epoch)¶

The following computations are performed

daily change of hufl()
lai_rate_pot()
compute boolean/condition array cld = self.hui.value > self.hui_leaf_decline
save value of lai() at the day when leaf decline starts (i.e. when a realization of hui() exceeds a realization of hui_leaf_decline(), or where cld contains True)
two lai values are computed
- one before leaf decline lai1 \(\rightarrow\) [R2] (equ. 7)
- one after leaf decline has started lai2 \(\rightarrow\) [R2] (equ. 10)
- depending on cld, lai1 or lai2 is set for lai()