Cool Night Index Freshness Lookup

Audit actual caller-defined night-window mean minima with observation coverage and independently supplied cool-night bands; no default hemisphere month, wine freshness or cultivar suitability inference.

Description

A cool-night index depends on the selected observation window and missing-data coverage.

A cool-night index depends on the selected observation window and missing-data coverage. A band label does not establish wine freshness.^[1]

Enter aligned nonempty finite minima/binary evidence, strictly increasing edges and unique labels with one extra class. Require at least one known night; return mean, coverage counts and label.

When to use Cool Night Index Freshness Lookup

Use Cool Night Index Freshness Lookup when you need to evaluate the supplied records under the calculation and evidence rules below. No default month, hemisphere, wine quality or cultivar suitability is inferred.

Prepare the measured vineyard records, aligned lists and independently verified local limits or catalog requested. Keep units, crop stages and observation periods consistent.

How to use Cool Night Index Freshness Lookup and understand its results

Prepare the measured vineyard records, aligned lists and independently verified local limits or catalog requested. Keep units, crop stages and observation periods consistent.
Enter observedNightMinimumTemperaturesC, nightObservationFlags, callerCoolNightClassUpperEdgesC, callerCoolNightClassLabels using the field table and calculation rules, then run the tool.
Read knownMeanNightMinimumC, knownNightCount, unknownNightCount, callerCoolNightClassLabel. The explanation below defines the units, signs, ordering and any flags or placeholder values.
If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.

Input field	Meaning	Value type; see rules below	Requirement
observedNightMinimumTemperaturesC	Observed night minimum temperatures c	list of number	Required
nightObservationFlags	Night observation flags	list of number	Required
callerCoolNightClassUpperEdgesC	Caller cool night class upper edges c	list of number	Required
callerCoolNightClassLabels	Caller cool night class labels	list of string	Required

Enter aligned nonempty finite minima/binary evidence, strictly increasing edges and unique labels with one extra class. Require at least one known night; return mean, coverage counts and label.

mean=sum(known minima)/knownCount; class=first inclusive upper edge

Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.

Output field	Meaning	Value type
knownMeanNightMinimumC	Known mean night minimum c	number
knownNightCount	Known night count	number
unknownNightCount	Unknown night count	number
callerCoolNightClassLabel	Caller cool night class label	string

json

{
  "input": {
    "observedNightMinimumTemperaturesC": [
      10,
      12,
      20
    ],
    "nightObservationFlags": [
      1,
      1,
      0
    ],
    "callerCoolNightClassUpperEdgesC": [
      12,
      18
    ],
    "callerCoolNightClassLabels": [
      "cool",
      "intermediate",
      "warm"
    ]
  },
  "output": {
    "knownMeanNightMinimumC": 11,
    "knownNightCount": 2,
    "unknownNightCount": 1,
    "callerCoolNightClassLabel": "cool"
  }
}

Limitations and assumptions

No default month, hemisphere, wine quality or cultivar suitability is inferred.

Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Numeric lists are limited to 10,000 entries; string lists to 128 strings of at most 128 characters each. The rules above may impose smaller limits. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.

Alternative or Complementary methods

Use Dryness Index DI Huglin Pairing Checker: Dryness and Huglin indices can jointly locate a supplied climate observation within local class rectangles. Overlapping classes need not produce a unique match. For a complementary task, use Midday Stem Water Potential Stress Classifier: Stem water potential is a signed measurement requiring a defined protocol. Stress labels and evidence availability should remain explicit.

References

Cool Night Index Freshness Lookup — tool.io

Similar or alternative tools

Dryness Index DI Huglin Pairing Checker
Dryness and Huglin indices can jointly locate a supplied climate observation within local class rectangles. Overlapping classes need not produce a unique match.
Midday Stem Water Potential Stress Classifier
Stem water potential is a signed measurement requiring a defined protocol. Stress labels and evidence availability should remain explicit.