SWAT - soil.surface.water¶
- class mef_agri.models.soil.surface.water.model_swat.Water_CNM_V2009(**kwargs)¶
This surface water model corresponds to the SCS curve number procedure outlined in [R1]. In its current version, the curve number is roughly approximated by introducing it as a hyper-parameter and considering crop cover (i.e. an approximation of [R1] table 2:1-1). The retention parameter is computed by considering only the water content in the soil profile ([R1] equ. 2:1.1.6), i.e. no evapotranspiration and frozen top soil layer.
kwargs \(\rightarrow\)
mef_agri.models.base.Model
- can_max()¶
RQ - from mode with id
'crop'
\(c_{\textrm{W-csm},0}\ [mm]\)
- Returns:
max. water storage of canopy
- Return type:
- cn()¶
RQ - from model with id
'zone.soil'
\(s_{\textrm{cn},k}\ [\ ]\)
- Returns:
curve number considering crops
- Return type:
- fc()¶
RQ - from model with id
'zone.soil'
\(s_{\textrm{W-fc},0}\ [\ ]\)
- Returns:
soil moisture at field capacity
- Return type:
- infiltration()¶
MQ - Random Output
\(s_{\textrm{inf},s,k}\ [\frac{mm}{day}]\)
- Returns:
infiltration rate at current day
- Return type:
numpy.ndarray
- initialize(epoch)¶
Initialization of
water_canopy()
andrunoff()
with zero arrays.- Parameters:
epoch (datetime.date) – initialization epoch
- lai()¶
RQ - from model with id
'crop.leaves'
\(c_{\textrm{lai},k}\ [\ ]\)
- Returns:
leaf area index
- Return type:
- lai_max()¶
RQ - from model with id
'crop.leaves'
\(c_{\textrm{laimx},0}\ [\ ]\)
- Returns:
max. attainable lai
- Return type:
- por()¶
RQ - from model with id
'zone.soil'
\(s_{\textrm{por},0}\ [\ ]\)
- Returns:
soil porosity (saturated water content)
- Return type:
- prec()¶
RQ - from model with id
'zone.atmosphere.weather'
\(a_{\textrm{prec},k}\ [\frac{mm}{day}]\)
- Returns:
daily precipitation sum
- Return type:
- precipitation_soil()¶
MQ - Random Output
\(s_{\textrm{prec},s,k}\ [\frac{mm}{day}]\)
- Returns:
amount of precipitation reaching the soil surface
- Return type:
numpy.ndarray
- rdm()¶
RQ - from model with id
'zone.soil'
\(s_{\textrm{rdm},0}\ [m]\)
- Returns:
maximum rootable depth of the soil
- Return type:
- retention()¶
MQ - Random Output
\(s_{\textrm{ret},s,k}\ [mm]\) - [R1] (equ. 2:1.1.6)
- Returns:
retention parameter
- Return type:
numpy.ndarray
- runoff()¶
MQ - Random Output
\(s_{\textrm{W-ro},s,k}\ [\frac{mm}{day}]\) - [R1] (equ. 2:1.1.3)
- Returns:
runoff rate at current day
- Return type:
numpy.ndarray
- sw()¶
RQ - from model with id
'zone.soil'
\(s_{\textrm{W-a},k}\ [mm]\)
- Returns:
water amount in the soil profile
- Return type:
- update(epoch)¶
The following computations are performed
canopy water storage - [R1] (section 2:2.1)
curve number values for wilting point and field capacity - [R1] (equ. 2:1.1.4, 2:1.1.5)
retention values for wilting point and field capacity - [R1] (equ. 2:1.1.2)
shape parameters of retention parameter
retention parameter - [R1] (equ. 2:1.1.6)
- Parameters:
epoch (datetime.date) – current evaluation epoch
- water_canopy()¶
MQ - Random Output
\(s_{\textrm{W-c},k}\ [mm]\)
- Returns:
amount of water stored in the canopy
- Return type:
numpy.ndarray
- wp()¶
RQ - from model with id
'zone.soil'
\(s_{\textrm{W-wp},0}\ [\ ]\)
- Returns:
soil moisture at wilting point
- Return type: