Blocking High Omega Block Classifier

Observed geopotential contour geometry and persistent flow evidence for caller omega-block classes, no identification from single pressure. Independently declared positive evidence requirements; overlapping/unknown classes retained. Caller independently establishes matching units, evidence, method edition and applicability; output is not compliance, diagnosis, work-safety approval, geological identity or validated hazard prediction.

Description

An omega-block interpretation concerns a persistent circulation pattern rather than any isolated high pressure reading.

An omega-block interpretation concerns a persistent circulation pattern rather than any isolated high pressure reading.^[1]

Your declared criteria determine what evidence supports each candidate pattern. The tool compares your observed and known flags with your declared positive requirements, retaining unresolved candidates.

When to use Blocking High Omega Block Classifier

Use this tool to calculate or review the supplied observations under the stated rules. Establish the observation method, units, averaging period and applicable reference or calibration.

How to use Blocking High Omega Block Classifier and understand its results

Establish the observation method, units, averaging period and applicable reference or calibration.
Enter callerOmegaBlockingClassIds, callerOmegaBlockingRequiredEvidence, observedOmegaBlockingEvidence, knownOmegaBlockingEvidenceFlags, using the field meanings and rules below, then run the tool.
Read compatibleCallerClasses, fullyWitnessedCallerClasses, using the output meanings and calculation rules below. Distinguish compatible candidates from fully witnessed classes; compatibility can retain unknown required evidence.
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
callerOmegaBlockingClassIds	Caller omega blocking class ids	list of string	Required
callerOmegaBlockingRequiredEvidence	Caller omega blocking required evidence	numeric matrix	Required
observedOmegaBlockingEvidence	Observed omega blocking evidence	list of number	Required
knownOmegaBlockingEvidenceFlags	Known omega blocking evidence flags; binary 1 means the matched observation is known, 0 means unknown	list of number	Required

Use unique nonblank class IDs and a nonempty binary requirement matrix aligned by class and evidence column. Every class must require at least one positive feature. A one requires presence; zero ignores the feature and does not require absence. Supply binary observed evidence and known flags. A known required zero excludes a class; an unknown required feature retains compatibility but prevents full witnessing. Return all compatible classes and the subset with every required feature known and present. Classes may overlap.

compatible_c=∀j(requirement_cj=0 or known_j=0 or evidence_j=1); witnessed_c=∀j(requirement_cj=0 or (known_j=1 and evidence_j=1))

Use the matching field units and the exact boundary, ordering and reference rules above.

Output field	Meaning	Value type
compatibleCallerClasses	Compatible caller classes	list of string
fullyWitnessedCallerClasses	Fully witnessed caller classes	list of string

json

{
  "input": {
    "callerOmegaBlockingClassIds": [
      "a",
      "b"
    ],
    "callerOmegaBlockingRequiredEvidence": [
      [
        1,
        0
      ],
      [
        0,
        1
      ]
    ],
    "observedOmegaBlockingEvidence": [
      1,
      0
    ],
    "knownOmegaBlockingEvidenceFlags": [
      1,
      0
    ]
  },
  "output": {
    "compatibleCallerClasses": [
      "a",
      "b"
    ],
    "fullyWitnessedCallerClasses": [
      "a"
    ]
  }
}

Limitations and assumptions

The observations and reference conditions must be independently established. This result does not supply missing measurements, uncertainty or an official warning. Compatible classes with unknown evidence are not positive identifications. Fully witnessed classes satisfy only the declared positive requirements.

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 Cut Off Low Cold Pool Detachment Checker: A cut-off low interpretation requires evidence of a circulation or cold pool detached from the relevant flow. For a complementary comparison, use Air Mass Source Region Classifier: Air-mass source classifications depend on independently established source-region and thermodynamic evidence.

References

Blocking High Omega Block Classifier — tool.io

Similar or alternative tools

Cut Off Low Cold Pool Detachment Checker
A cut-off low interpretation requires evidence of a circulation or cold pool detached from the relevant flow.
Air Mass Source Region Classifier
Air-mass source classifications depend on independently established source-region and thermodynamic evidence.