Cut Off Low Cold Pool Detachment Checker

Independently traced closed/cutoff circulation and cold-pool detachment observations. 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

A cut-off low interpretation requires evidence of a circulation or cold pool detached from the relevant flow.

A cut-off low interpretation requires evidence of a circulation or cold pool detached from the relevant flow.^[1]

Declare the applicable detachment criteria before classifying observations. The tool compares your observed and known flags with your declared positive requirements, retaining unresolved candidates.

When to use Cut Off Low Cold Pool Detachment Checker

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 Cut Off Low Cold Pool Detachment Checker and understand its results

Establish the observation method, units, averaging period and applicable reference or calibration.
Enter callerColdPoolDetachmentClassIds, callerColdPoolDetachmentRequiredEvidence, observedColdPoolDetachmentEvidence, knownColdPoolDetachmentEvidenceFlags, 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
callerColdPoolDetachmentClassIds	Caller cold pool detachment class ids	list of string	Required
callerColdPoolDetachmentRequiredEvidence	Caller cold pool detachment required evidence	numeric matrix	Required
observedColdPoolDetachmentEvidence	Observed cold pool detachment evidence	list of number	Required
knownColdPoolDetachmentEvidenceFlags	Known cold pool detachment 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": {
    "callerColdPoolDetachmentClassIds": [
      "a",
      "b"
    ],
    "callerColdPoolDetachmentRequiredEvidence": [
      [
        1,
        0
      ],
      [
        0,
        1
      ]
    ],
    "observedColdPoolDetachmentEvidence": [
      1,
      0
    ],
    "knownColdPoolDetachmentEvidenceFlags": [
      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 Blocking High Omega Block Classifier: An omega-block interpretation concerns a persistent circulation pattern rather than any isolated high pressure reading. For a complementary comparison, use Occlusion Stage Life Cycle Lookup: Occlusion stages describe the evolution of a frontal system as its fronts and warm air interact.

References

Cut Off Low Cold Pool Detachment Checker — tool.io

Similar or alternative tools

Blocking High Omega Block Classifier
An omega-block interpretation concerns a persistent circulation pattern rather than any isolated high pressure reading.
Occlusion Stage Life Cycle Lookup
Occlusion stages describe the evolution of a frontal system as its fronts and warm air interact.