Steam Fog Evaporation Mixing Checker

Observed warm-water/cold-air moisture/mixing evidence, no saturation/visibility inferred from temperature alone. 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

Steam fog involves moisture exchange and mixing between warmer water and colder air.

Steam fog involves moisture exchange and mixing between warmer water and colder air.^[1]

This tool compares your positive evidence requirements with known observations and keeps unknown evidence visible.

When to use Steam Fog Evaporation Mixing Checker

Use this tool to calculate or review the supplied observations under the stated rules. Match the observation method, units, averaging period and independently established reference.

How to use Steam Fog Evaporation Mixing Checker and understand its results

Match the observation method, units, averaging period and independently established reference.
Enter callerSteamFogMixingClassIds, callerSteamFogMixingRequiredEvidence, observedSteamFogMixingEvidence, knownSteamFogMixingEvidenceFlags, using the field meanings and rules below, then run the tool.
Read compatibleCallerClasses, fullyWitnessedCallerClasses. 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
callerSteamFogMixingClassIds	Caller steam fog mixing class ids	list of string	Required
callerSteamFogMixingRequiredEvidence	Caller steam fog mixing required evidence	numeric matrix	Required
observedSteamFogMixingEvidence	Observed steam fog mixing evidence	list of number	Required
knownSteamFogMixingEvidenceFlags	Known steam fog mixing 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": {
    "callerSteamFogMixingClassIds": [
      "a",
      "b"
    ],
    "callerSteamFogMixingRequiredEvidence": [
      [
        1,
        0
      ],
      [
        0,
        1
      ]
    ],
    "observedSteamFogMixingEvidence": [
      1,
      0
    ],
    "knownSteamFogMixingEvidenceFlags": [
      1,
      0
    ]
  },
  "output": {
    "compatibleCallerClasses": [
      "a",
      "b"
    ],
    "fullyWitnessedCallerClasses": [
      "a"
    ]
  }
}

Limitations and assumptions

The observations and reference conditions must be independently established. This result is a record summary or stated model screen, not an official warning or a validated event forecast. 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 Upslope Fog LCL Height Checker: A parcel lifted upslope can be compared with its independently established lifting condensation level. For a complementary comparison, use Warm Front Overrunning Precip Type Lookup: Overrunning precipitation type depends on a matched atmospheric profile, including conditions above the surface.

References

Steam Fog Evaporation Mixing Checker — tool.io

Similar or alternative tools

Upslope Fog LCL Height Checker
A parcel lifted upslope can be compared with its independently established lifting condensation level.
Warm Front Overrunning Precip Type Lookup
Overrunning precipitation type depends on a matched atmospheric profile, including conditions above the surface.