Dryness Index DI Huglin Pairing Checker

Pair independently established dryness and Huglin indices within caller joint rectangular climate classes, preserving overlap/no match; not recomputing existing climate indices, grape suitability or universal zoning.

Description

Dryness and Huglin indices can jointly locate a supplied climate observation within local class rectangles.

Dryness and Huglin indices can jointly locate a supplied climate observation within local class rectangles. Overlapping classes need not produce a unique match.^[1]

Enter unique nonblank class IDs and aligned nonempty two-column ordered dryness/Huglin bounds, plus finite index values. Return all matching IDs in catalog order, including none or multiple.

When to use Dryness Index DI Huglin Pairing Checker

Use Dryness Index DI Huglin Pairing Checker when you need to evaluate the supplied records under the calculation and evidence rules below. No indices, climate zoning or cultivar suitability are computed.

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 Dryness Index DI Huglin Pairing Checker 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 callerPairedClimateClassIds, callerDrynessIndexBandsMm, callerHuglinIndexBands, independentlyEstablishedDrynessIndexMm, independentlyEstablishedHuglinIndex using the field table and calculation rules, then run the tool.
Read callerCompatiblePairedClimateClassIds. 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
callerPairedClimateClassIds	Caller paired climate class ids	list of string	Required
callerDrynessIndexBandsMm	Caller dryness index bands mm	list of list of number	Required
callerHuglinIndexBands	Caller huglin index bands	list of list of number	Required
independentlyEstablishedDrynessIndexMm	Independently established dryness index mm	number	Required
independentlyEstablishedHuglinIndex	Independently established huglin index	number	Required

Enter unique nonblank class IDs and aligned nonempty two-column ordered dryness/Huglin bounds, plus finite index values. Return all matching IDs in catalog order, including none or multiple.

match when both index values fall within inclusive class bands

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

Output field	Meaning	Value type
callerCompatiblePairedClimateClassIds	Caller compatible paired climate class ids	list of string

json

{
  "input": {
    "callerPairedClimateClassIds": [
      "wet-warm",
      "dry-hot"
    ],
    "callerDrynessIndexBandsMm": [
      [
        0,
        100
      ],
      [
        -100,
        0
      ]
    ],
    "callerHuglinIndexBands": [
      [
        1000,
        2000
      ],
      [
        2000,
        3000
      ]
    ],
    "independentlyEstablishedDrynessIndexMm": -20,
    "independentlyEstablishedHuglinIndex": 2500
  },
  "output": {
    "callerCompatiblePairedClimateClassIds": [
      "dry-hot"
    ]
  }
}

Limitations and assumptions

No indices, climate zoning or cultivar suitability are computed.

Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Matrices are limited to 128 rows and 128 entries per row. 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 Cool Night Index Freshness Lookup: A cool-night index depends on the selected observation window and missing-data coverage. A band label does not establish wine freshness. For a complementary task, use GDD Stage Threshold Lookup: Heat-sum thresholds can be audited against recorded chronology. First observed attainment is different from interpolated phenology.

References

Dryness Index DI Huglin Pairing Checker — tool.io

Similar or alternative tools

Cool Night Index Freshness Lookup
A cool-night index depends on the selected observation window and missing-data coverage. A band label does not establish wine freshness.
GDD Stage Threshold Lookup
Heat-sum thresholds can be audited against recorded chronology. First observed attainment is different from interpolated phenology.