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SCT dual
Cristian Lussana edited this page Mar 29, 2021
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3 revisions
Work in progress
Returned values are: the p-vector of the quality flags
flag | description |
---|---|
-999 | missing flag (observation not checked) |
0 | good observation |
1 | bad observation |
11 | isolated observation, it is the only observation inside the inner circle |
12 | isolated observation, less than num_min_outer observations inside outer circle |
The list of parameters is (type vector = it is possible to specify a sequence of buddy checks):
parameter | description | type |
---|---|---|
sct_dual | do it, true or false | logical |
code.sct_dual | code identifying bad observation flagged by the test | scalar |
i.sct_dual | number of repetitions of the entire sequence of checks | scalar |
break.sct_dual | break the loop over the tests if less than this number of observations has been flagged | scalar |
doit.sct_dual | specify on a provider basis if the observations have to be tested (0=no; 1=yes) | M-vector |
prio.sct_dual | specify on a provider basis the priorities the observations have (the smaller the number, the higher the piority) | M-vector |
event_thresholds.sct_dual | event threshold used to divide the dataset into "yes, the event happend" or "no, the event did not happen". Either a single value or one value for each test AND provider (e.g. N tests, M providers; then N*M values; order is: val-1 (test-1,provider-1), val-2 (test-1,provider-2), val-3 (test-1,provider-3), ... ). | (N*M)-vector |
conditions.sct_dual | condition used to divide the dataset into "yes, the event happend" or "no, the event did not happen". One of: "Eq", "Gt", "Geq", "Lt", "Leq". Either one value valid for all N or N values. | N-vector |
thr_relinfo.sct_dual | SCT dual threshold for the relative information content (typically a number from 0 to 1). Useful to avoid flagging observations in areas where there is a transition between "yes" and "no". Either a single value or one value for each test AND provider (e.g. N tests, M providers; then N*M values; order is: val-1 (test-1,provider-1), val-2 (test-1,provider-2), val-3 (test-1,provider-3), ... ). | (N*M)-vector |
inner_radius.sct_dual | radius (m) of the inner circle | N-vector |
outer_radius.sct_dual | radius (m) of the inner circle | N-vector |
num_min_outer.sct_dual | minimum number of observations required inside the outer circle | N-vector |
num_max_outer.sct_dual | maximum number of observations used | N-vector |
min_horizontal_scale.sct_dual | lower limit for the horizontal decorrelation length scale in OI correlation function | N-vector |
max_horizontal_scale.sct_dual | upper limit for the horizontal decorrelation length scale in OI correlation function | N-vector |
kth_closest_obs_horizontal_scale.sct_dual | horizontal decorrelation length scale in OI correlation function is the average distance between an observation location and the k-th closest location | N-vector |
vertical_scale.sct_dual | vertical decorrelation length scale in OI correlation function | (N*M)-vector |
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