View source: R/fmi_parameters.R
fmi_parameters | R Documentation |
In order to run the fluvial model inversion (FMI) routine, a set of randomised target parameter combinations needs to be created. This function does this job.
fmi_parameters(
n,
d_s,
s_s,
r_s,
q_s,
h_w,
w_w,
a_w,
f_min,
f_max,
r_0,
f_0,
q_0,
v_0,
p_0,
e_0,
n_0_a,
n_0_b,
res
)
n |
|
d_s |
|
s_s |
|
r_s |
|
q_s |
|
h_w |
|
w_w |
|
a_w |
|
f_min |
|
f_max |
|
r_0 |
|
f_0 |
|
q_0 |
|
v_0 |
|
p_0 |
|
e_0 |
|
n_0_a |
|
n_0_b |
|
res |
|
All parameters must be provided as single values, except for those parameters that shall be randomised, which must be provided as a vector of length two. This vector defines the range within which uniformly distributed random values will be generated and assigned.
List
object with model reference parameters.
Michael Dietze
## create two parameter sets where h_w (water level) and q_s (sediment
## flux) are randomly varied.
ref_pars <- fmi_parameters(n = 2,
h_w = c(0.02, 2.00),
q_s = c(0.001, 50.000) / 2650,
d_s = 0.01,
s_s = 1.35,
r_s = 2650,
w_w = 6,
a_w = 0.0075,
f_min = 5,
f_max = 80,
r_0 = 6,
f_0 = 1,
q_0 = 10,
v_0 = 350,
p_0 = 0.55,
e_0 = 0.09,
n_0_a = 0.6,
n_0_b = 0.8,
res = 100)
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