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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