Enhancement Factor Soft Ice Calculator

Infer apparent multiplicative ice-softening enhancement from paired observed and unenhanced modeled strain rates; the factor absorbs calibration/stress errors and is not a forward Glen law or a unique physical cause.

Description

Observed strain relative to an unenhanced model yields an apparent softening factor.

Observed strain relative to an unenhanced model yields an apparent softening factor. Model errors can contribute to that factor.1

Enter aligned nonempty positive observed/model rates. Return ratios and their geometric mean.

When to use Enhancement Factor Soft Ice Calculator

Use Enhancement Factor Soft Ice Calculator when you need to evaluate the supplied records under the calculation and evidence rules below. No unique softening cause, forward Glen-law prediction or stress-error separation is inferred.

Prepare the observed ice, snow, water or geometry measurements and explicit calibration parameters requested. Keep coordinates, datum, density and time units consistent.

How to use Enhancement Factor Soft Ice Calculator and understand its results

  1. Prepare the observed ice, snow, water or geometry measurements and explicit calibration parameters requested. Keep coordinates, datum, density and time units consistent.
  2. Enter observedStrainRatesPerYear, unEnhancedModeledRatesPerYear using the field table and calculation rules, then run the tool.
  3. Read apparentEnhancementFactors, geometricMeanApparentEnhancement. The explanation below defines the units, signs, ordering and any flags or placeholder values.
  4. 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 fieldMeaningValue type; see rules belowRequirement
observedStrainRatesPerYearObserved strain rates per yearlist of numberRequired
unEnhancedModeledRatesPerYearUn enhanced modeled rates per yearlist of numberRequired

Enter aligned nonempty positive observed/model rates. Return ratios and their geometric mean.

factor=observedRate/modeledRate; geometricMean=exp(mean(ln(factors)))

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

Output fieldMeaningValue type
apparentEnhancementFactorsApparent enhancement factorslist of number
geometricMeanApparentEnhancementGeometric mean apparent enhancementnumber
json
{
  "input": {
    "observedStrainRatesPerYear": [
      2,
      6
    ],
    "unEnhancedModeledRatesPerYear": [
      1,
      2
    ]
  },
  "output": {
    "apparentEnhancementFactors": [
      2,
      3
    ],
    "geometricMeanApparentEnhancement": 2.449489742783178
  }
}

Limitations and assumptions

No unique softening cause, forward Glen-law prediction or stress-error separation 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 Rate Factor Arrhenius Temperature Calculator: A single-regime Arrhenius model scales a reference ice rate factor with temperature. Regime and pressure applicability are external assumptions. For a complementary task, use Transverse Strain Rate Calculator: Transverse normal strain is the gradient of transverse velocity along a cross-flow transect. Its sign distinguishes extension and compression.

References

  1. Enhancement Factor Soft Ice Calculator — tool.io

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