Hansen Rattray Mixing Classifier
Audit independently computed normalized surface/mean circulation or bottom/surface salinity contrast against caller reference-chart coordinate bands; no forced estuary class or ambiguous chart resolution. Unknown criterion indices distinguish zero placeholders from known zero margins. Caller independently establishes units, regime, calibration and applicability; this does not establish design-code compliance, authenticity, operational safety, treatment efficacy or a validated forecast.
Description
Hansen–Rattray coordinates describe estuarine circulation and stratification within a particular reference chart.
Hansen–Rattray coordinates describe estuarine circulation and stratification within a particular reference chart.1
This tool compares known coordinates with your inclusive bands while preserving unknown criteria separately.
When to use Hansen Rattray Mixing Classifier
Use this tool to calculate or review the supplied observations under the stated rules. Match the observation interval, units, datum, coordinate signs and model regime.
How to use Hansen Rattray Mixing Classifier and understand its results
- Match the observation interval, units, datum, coordinate signs and model regime.
- Enter observedHansenRattrayCoordinate, callerVerifiedHansenRattrayCoordinateLower, callerVerifiedHansenRattrayCoordinateUpper, knownHansenRattrayCoordinateCriterionFlags, using the field meanings and rules below, then run the tool.
- Read signedKnownBandMargins, knownReviewIndices, unknownCriterionIndices. Inspect nested result fields where present, and review unknown records separately from known matches.
- Correct any reported input issue and run again. Before using a successful result, check the stated units, signs, reference scope and observation coverage.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| observedHansenRattrayCoordinate | Observed hansen rattray coordinate | list of number | Required |
| callerVerifiedHansenRattrayCoordinateLower | Caller verified hansen rattray coordinate lower | list of number | Required |
| callerVerifiedHansenRattrayCoordinateUpper | Caller verified hansen rattray coordinate upper | list of number | Required |
| knownHansenRattrayCoordinateCriterionFlags | Known hansen rattray coordinate criterion flags; binary 1 means the matched observation is known, 0 means unknown | list of number | Required |
Use nonempty aligned finite observations, lower and upper bounds, and binary known flags. Require lower≤upper for every row. For known rows return min(observed−lower,upper−observed); strictly negative margins enter the review list. Unknown rows receive zero placeholders and appear in the separate unknown-criterion list. A known boundary is included; an unknown zero is not passing evidence.
margin_i=known_i?min(observed_i−lower_i,upper_i−observed_i):0 Use the matching field units and the exact boundary, ordering and reference rules above.
| Output field | Meaning | Value type |
|---|---|---|
| signedKnownBandMargins | Signed known band margins; preserve the subtraction order and sign defined in the mechanics | list of number |
| knownReviewIndices | Known review indices; zero-based positions in the relevant supplied record or adjacent-pair list | list of number |
| unknownCriterionIndices | Unknown criterion indices; zero-based positions in the relevant supplied record or adjacent-pair list; unresolved records kept separate from known results | list of number |
{
"input": {
"observedHansenRattrayCoordinate": [
2,
5
],
"callerVerifiedHansenRattrayCoordinateLower": [
1,
1
],
"callerVerifiedHansenRattrayCoordinateUpper": [
3,
4
],
"knownHansenRattrayCoordinateCriterionFlags": [
1,
0
]
},
"output": {
"signedKnownBandMargins": [
1,
0
],
"knownReviewIndices": [],
"unknownCriterionIndices": [
1
]
}
}Limitations and assumptions
The stated observation or model covers only the supplied record and reference regime. It does not fill missing measurements, supply uncertainty estimates or produce a validated forecast.
Missing required fields, unknown fields, wrong types and violated rules return input issues. Numeric values and outputs must be finite. Lists and matrices must be dense, without missing cells. Numeric lists allow at most 10000 entries; ordinary string lists allow at most 128 strings of 128 UTF-16 units each; numeric matrices allow at most 128 rows and 128 columns, subject to narrower requirements above.
Alternative or Complementary methods
For a related step, use Estuarine Circulation Ratio UE Calculator: An estuarine circulation ratio compares surface flow with residual flow over a matched section. For a complementary comparison, use Van Den Burgh K Intrusion Parameter Calculator: The Van den Burgh relation links an axial dispersion gradient to residual flow under a stated coordinate convention.
References
-
Hansen Rattray Mixing Classifier — tool.io
Similar or alternative tools
- Estuarine Circulation Ratio UE Calculator
An estuarine circulation ratio compares surface flow with residual flow over a matched section.
- Van Den Burgh K Intrusion Parameter Calculator
The Van den Burgh relation links an axial dispersion gradient to residual flow under a stated coordinate convention.