Bucket vs Engine Intake SST Correction Lookup
Audit actual bucket/engine-intake SST difference against exact independently verified platform/method/epoch bias reference, not blanket correction. Independently verified caller edition/site/specimen reference, no fabricated table. 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
Bucket and engine-intake sea-surface temperatures can differ under platform and measurement conditions.
Bucket and engine-intake sea-surface temperatures can differ under platform and measurement conditions.1
This audit retrieves your exact numeric reference and retains the signed observed-minus-reference difference.
When to use Bucket vs Engine Intake SST Correction Lookup
Use this tool to compare an observation with its exact numeric reference. Match the observation interval, units, datum, coordinate signs and model regime.
How to use Bucket vs Engine Intake SST Correction Lookup and understand its results
- Match the observation interval, units, datum, coordinate signs and model regime.
- Enter callerSstMethodBiasIds, callerSstMethodBiasValues, querySstMethodBiasId, observedSstMethodBiasValue, using the field meanings and rules below, then run the tool.
- Read callerMatchedReferenceValue, signedObservedMinusReference. 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 |
|---|---|---|---|
| callerSstMethodBiasIds | Caller sst method bias ids | list of string | Required |
| callerSstMethodBiasValues | Caller sst method bias values | list of number | Required |
| querySstMethodBiasId | Query sst method bias id; use the exact reference token or coordinate domain stated below | string | Required |
| observedSstMethodBiasValue | Observed sst method bias value | number | Required |
Supply nonempty aligned unique nonblank reference keys and finite reference numbers. Query one exact existing key and provide a finite observation in the same units. Return the matched number and observed-minus-reference; signed inputs are accepted and no special physical range is inferred. Unknown keys fail.
reference=values[indexOf(keys,query)]; difference=observed−reference Use the matching field units and the exact boundary, ordering and reference rules above.
| Output field | Meaning | Value type |
|---|---|---|
| callerMatchedReferenceValue | Caller matched reference value | number |
| signedObservedMinusReference | Signed observed minus reference; preserve the subtraction order and sign defined in the mechanics | number |
{
"input": {
"callerSstMethodBiasIds": [
"a",
"b"
],
"callerSstMethodBiasValues": [
2,
4
],
"querySstMethodBiasId": "b",
"observedSstMethodBiasValue": 5
},
"output": {
"callerMatchedReferenceValue": 4,
"signedObservedMinusReference": 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. Reference records and their claimed verification are supplied by the caller; the tool does not retrieve or verify them.
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 Indian Ocean Dipole Gradient Classifier: The Indian Ocean Dipole gradient compares western and eastern sea-surface-temperature anomalies on a matched baseline. For a complementary comparison, use Atlantic Multidecadal Window Average Calculator: A multidecadal index average depends on the anomaly baseline and the amount of time actually observed.
References
Similar or alternative tools
- Indian Ocean Dipole Gradient Classifier
The Indian Ocean Dipole gradient compares western and eastern sea-surface-temperature anomalies on a matched baseline.
- Atlantic Multidecadal Window Average Calculator
A multidecadal index average depends on the anomaly baseline and the amount of time actually observed.