fmi_parameters {eseis} | R Documentation |
Create reference model reference parameter catalogue
Description
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.
Usage
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
)
Arguments
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 |
|
Details
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.
Value
List
object with model reference parameters.
Author(s)
Michael Dietze
Examples
## 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)