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FA-70891 / Weather index computation / Open access

Magnus dew point with ice branch: relative humidity fraction · case 01

Dew points exceed the air temperature for every humid reading.

Verified by executionVariant 1 · 8 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

The Magnus log term uses RH in percent rather than as a fraction.

THE FAILURE

The Magnus log term uses RH in percent rather than as a fraction.

Unsuccessful approach: Converting to a fraction but using log10 still mis-scales the humidity term.

Case contract

Input temperature in degC and RH in percent. RH <= 0 or RH > 100 returns None. Use Magnus constants a=17.62, b=243.12 when T >= 0 and a=22.46, b=272.62 below freezing; g = ln(RH/100) + aT/(b+T); dew/frost point = b*g/(a-g) rounded to 0.01.

Why this case matters

Dew and frost point drive fog, icing and frost forecasts.

1 / The failure

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json
import math
N = 1
observations = []
def solve(t_c, rh):
    if rh <= 0 or rh > 100:
        return None
    a, b = (17.62, 243.12) if t_c >= 0 else (22.46, 272.62)
    g = math.log(rh) + a * t_c / (b + t_c)
    return round(b * g / (a - g), 2)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['-20 C at 0% RH', [-20, 0], None], ['-20 C at 0.5% RH', [-20, 0.5], -65.32], ['-20 C at 5% RH', [-20, 5], -47.79], ['-20 C at 30% RH', [-20, 30], -31.95], ['-20 C at 50% RH', [-20, 50], -27.02], ['-20 C at 80% RH', [-20, 80], -22.3], ['-20 C at 100% RH', [-20, 100], -20.0], ['-20 C at 104% RH', [-20, 104], None]], [['-20 C at 50% RH', [-20, 50], -27.02], ['-20 C at 104% RH', [-20, 104], None], ['-5 C at 0% RH', [-5, 0], None], ['-5 C at 0.5% RH', [-5, 0.5], -55.32], ['-5 C at 5% RH', [-5, 5], -35.98], ['-5 C at 30% RH', [-5, 30], -18.38], ['-5 C at 50% RH', [-5, 50], -12.87], ['-5 C at 80% RH', [-5, 80], -7.58]], [['-5 C at 0.5% RH', [-5, 0.5], -55.32], ['-5 C at 100% RH', [-5, 100], -5.0], ['-5 C at 104% RH', [-5, 104], None], ['-0.5 C at 0% RH', [-0.5, 0], None], ['-0.5 C at 0.5% RH', [-0.5, 0.5], -52.36], ['-0.5 C at 5% RH', [-0.5, 5], -32.47], ['-0.5 C at 30% RH', [-0.5, 30], -14.32], ['-0.5 C at 50% RH', [-0.5, 50], -8.63]], [['-5 C at 50% RH', [-5, 50], -12.87], ['-0.5 C at 80% RH', [-0.5, 80], -3.17], ['-0.5 C at 100% RH', [-0.5, 100], -0.5], ['-0.5 C at 104% RH', [-0.5, 104], None], ['0 C at 0% RH', [0, 0], None], ['0 C at 0.5% RH', [0, 0.5], -56.21], ['0 C at 5% RH', [0, 5], -35.33], ['0 C at 30% RH', [0, 30], -15.55]], [['-0.5 C at 0.5% RH', [-0.5, 0.5], -52.36], ['0 C at 50% RH', [0, 50], -9.2], ['0 C at 80% RH', [0, 80], -3.04], ['0 C at 100% RH', [0, 100], 0.0], ['0 C at 104% RH', [0, 104], None], ['0.5 C at 0% RH', [0.5, 0], None], ['0.5 C at 0.5% RH', [0.5, 0.5], -55.91], ['0.5 C at 5% RH', [0.5, 5], -34.96]]]
for label, args, expected in fixtures[N - 1]:
    check(label, solve(*args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
-20 C at 0% RHNoneNonePassed
-20 C at 0.5% RH-27.02-65.32Failed
-20 C at 5% RH-2.03-47.79Failed
-20 C at 30% RH21.23-31.95Failed
-20 C at 50% RH28.62-27.02Failed
-20 C at 80% RH35.75-22.3Failed
-20 C at 100% RH39.26-20.0Failed
-20 C at 104% RHNoneNonePassed

SHA-256 / 26cc6bf58f43b02fb2155703c91f16f28184e4d2960488518f648543581363df

2 / The unsuccessful fix

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json
import math
N = 1
observations = []
def solve(t_c, rh):
    if rh <= 0 or rh > 100:
        return None
    a, b = (17.62, 243.12) if t_c >= 0 else (22.46, 272.62)
    g = math.log10(rh / 100.0) + a * t_c / (b + t_c)
    return round(b * g / (a - g), 2)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['-20 C at 0% RH', [-20, 0], None], ['-20 C at 0.5% RH', [-20, 0.5], -65.32], ['-20 C at 5% RH', [-20, 5], -47.79], ['-20 C at 30% RH', [-20, 30], -31.95], ['-20 C at 50% RH', [-20, 50], -27.02], ['-20 C at 80% RH', [-20, 80], -22.3], ['-20 C at 100% RH', [-20, 100], -20.0], ['-20 C at 104% RH', [-20, 104], None]], [['-20 C at 50% RH', [-20, 50], -27.02], ['-20 C at 104% RH', [-20, 104], None], ['-5 C at 0% RH', [-5, 0], None], ['-5 C at 0.5% RH', [-5, 0.5], -55.32], ['-5 C at 5% RH', [-5, 5], -35.98], ['-5 C at 30% RH', [-5, 30], -18.38], ['-5 C at 50% RH', [-5, 50], -12.87], ['-5 C at 80% RH', [-5, 80], -7.58]], [['-5 C at 0.5% RH', [-5, 0.5], -55.32], ['-5 C at 100% RH', [-5, 100], -5.0], ['-5 C at 104% RH', [-5, 104], None], ['-0.5 C at 0% RH', [-0.5, 0], None], ['-0.5 C at 0.5% RH', [-0.5, 0.5], -52.36], ['-0.5 C at 5% RH', [-0.5, 5], -32.47], ['-0.5 C at 30% RH', [-0.5, 30], -14.32], ['-0.5 C at 50% RH', [-0.5, 50], -8.63]], [['-5 C at 50% RH', [-5, 50], -12.87], ['-0.5 C at 80% RH', [-0.5, 80], -3.17], ['-0.5 C at 100% RH', [-0.5, 100], -0.5], ['-0.5 C at 104% RH', [-0.5, 104], None], ['0 C at 0% RH', [0, 0], None], ['0 C at 0.5% RH', [0, 0.5], -56.21], ['0 C at 5% RH', [0, 5], -35.33], ['0 C at 30% RH', [0, 30], -15.55]], [['-0.5 C at 0.5% RH', [-0.5, 0.5], -52.36], ['0 C at 50% RH', [0, 50], -9.2], ['0 C at 80% RH', [0, 80], -3.04], ['0 C at 100% RH', [0, 100], 0.0], ['0 C at 104% RH', [0, 104], None], ['0.5 C at 0% RH', [0.5, 0], None], ['0.5 C at 0.5% RH', [0.5, 0.5], -55.91], ['0.5 C at 5% RH', [0.5, 5], -34.96]]]
for label, args, expected in fixtures[N - 1]:
    check(label, solve(*args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
-20 C at 0% RHNoneNonePassed
-20 C at 0.5% RH-41.9-65.32Failed
-20 C at 5% RH-32.87-47.79Failed
-20 C at 30% RH-25.33-31.95Failed
-20 C at 50% RH-23.1-27.02Failed
-20 C at 80% RH-21.01-22.3Failed
-20 C at 100% RH-20.0-20.0Passed
-20 C at 104% RHNoneNonePassed

SHA-256 / db47e62d3e1d570dcca16fda5de2989e3f5c1e61303474f84b080def0b43fe52

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This mechanism has 8 recorded checks per implementation. The open-access tier publishes the failure and the unsuccessful fix; the repaired source that passes every check, and the observations that prove it, are available to members.

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Verification & scope

Stipulated deterministic teaching model of an operational weather index; coefficients and thresholds are fixed by the contract and no claim of standards conformance is made. This reproducer isolates one failure mechanism. Results cover the supplied fixtures. Variants within a family share a test contract and should remain grouped when constructing evaluation splits. Related mechanisms with a shared evaluation_group must also remain together; these controlled models are not independent production incidents.

Observations recorded using Python 3.12.14 at 2026-09-29T14:48:24.866494+00:00.

Case digest / 8fc9d3135bf49895016fa27f21158bd40fe6497d733fe2394e2ec90c47207e11