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Lesson 03 of 0830 minBeyond SKYWARN

Why the hail record is wrong

Reports under-measure, the archive has a seam in it, and the radar product everyone checks against was built to over-forecast on purpose.

By the end of this lesson
M5.3.aExplain size quantization around coin and object references.
M5.3.bState that Storm Data and warning sizes underestimate maximum hail diameter, citing the field evidence.
M5.3.cExplain the nocturnal and population reporting biases.
M5.3.dExplain what MESH is, why it is not ground truth, and how this platform uses it.

Everything snaps to a coin

Hail diameters are continuous. Reports are not. A stone that is genuinely 1.15 inches gets reported as a quarter, and one at 1.6 inches becomes a golf ball, because the reference objects are what people have to hand. The result is a record that clusters on a dozen values and is empty between them.

This is not a criticism of spotters; it is what the method does. It is also fixable in one move, which lesson 2 already gave you: measure it and say you measured it. A measured 1.15 inches is worth more than an estimated quarter precisely because it does not land on the grid.

And everything lands low

Blair and colleagues went and checked. Their field campaign sampled 73 severe thunderstorms between 2011 and 2015, measuring what actually fell, and compared it to the record.

Companion work put the underestimate of a storm's maximum size at close to a factor of two. Supercells produced the largest stones by a wide margin, which is lesson 1's physics showing up in the archive. The record is a floor, not a measurement.

Nobody is outside at three in the morning

Two biases decide whether hail enters the record at all, and neither is about the hail. Reports need a person, so they thin out at night and away from towns, in exactly the way module 1 lesson 7 described for tornadoes.

Wendt and Jirak quantified the night half by comparing human reports against Maximum Estimated Size of HailA radar-derived estimate of the largest hail a storm is producing. It describes hail in the cloud, so it can disagree with what actually reaches the ground., the radar hail estimate. About 30% of significant hail reports occurred at night, against about 40% of MESH. Radar, which does not sleep, finds a larger share of its hail after dark than people do. Their plain-language version: "Human observers are increasingly less likely to be available to observe severe hail after sunset." Across the whole record MESH diagnoses severe hail hours two to four times more often than Storm Data has reports.

MESH is not a measurement

MESH comes from Severe Hail IndexA thermally weighted integration of the radar reflectivity profile above the freezing level. MESH is derived from it, and so is the probability that a storm is producing severe hail., a thermally weighted integration of the How much of the radar pulse bounced back from whatever the beam was passing through on that tilt. It is the familiar green-to-red precipitation picture, and it describes what is up in the beam, not what is reaching the ground. profile above the The height at which the air reaches 0 °C. A hailstone has to survive the fall from there to the ground, so a high freezing level means more melting and smaller hail at the surface., with Probability of Severe HailThe chance a storm is producing hail of an inch or more, derived from SHI against a threshold that scales with the height of the wet-bulb zero. derived against a threshold that scales with the wet-bulb-zero height. What matters for a spotter is not the machinery but the design intention, which Witt and colleagues stated when they built it.

So MESH is roughly the diameter that three quarters of stones fall short of. A report coming in under MESH is the expected case, not a contradiction. And the skill numbers are sobering:

QuestionBest productSkill
Was there hail at all?Reflectivity at Lowest AltitudeThe reflectivity from the lowest usable radar tilt. At 55 dBZ or more it is the best single radar answer to "was there hail here at all", though it cannot size the stones. at or above 55 The unit radar reflectivity is measured in. Roughly, 20 is drizzle, 40 is a proper thunderstorm core and 60 or more usually means hail.Heidke Skill ScoreHow much better a forecast or detection does than chance, where 1 is perfect and 0 is no better than guessing. The best radar discriminator for severe hail scores 0.38, which is honest rather than impressive. 0.42
Was it severe?MESH at or above 30 mmHSS 0.38
Was it The upper tier of severe: hail of two inches or more, or wind of 65 knots or more. It is also the range where radar loses almost all skill at sizing hail.?nothingHSS under 0.2

Ortega 2018, against nearly 40,000 field-collected hail reports. Read the last row twice: radar cannot reliably size giant hail. That is exactly the range where a careful ground measurement is worth the most.

One more seam in the record

The severe threshold moved from 0.75 to 1.00 inch on 5 January 2010, and the NWS estimated around 40% of severe thunderstorm warnings had previously been issued for hail below the new mark. That makes the date a genuine discontinuity: hail climatology before 2010 is not directly comparable to after it, and any trend drawn straight through it is measuring a paperwork change.

Knowledge checkNot graded · the exam draws a fresh variant of this item

MESH over your location reads 1.75 inches. You measure a stone at 1.25 inches. What does the difference mean?

The algorithm's authors said what fraction of hail should fall below their estimate.
Sources for this lessonBlair et al. 2017, Wea. Forecasting 32(3), 1101–1119: high-resolution hail observations and their implications for NWS warning operationsWendt & Jirak 2021, Wea. Forecasting 36(2), 645–659: an hourly climatology of operational MRMS MESH-diagnosed severe and significant hail, with comparisons to Storm Data hail reportsWitt et al. 1998, Wea. Forecasting 13(2), 286–303: an enhanced hail detection algorithm for the WSR-88DOrtega 2018, Electron. J. Severe Storms Meteor. 13(1), 1–36: evaluating multi-radar multi-sensor products for surface hail-fall diagnosisNWS Service Change Notice 09-52: the one-inch hail severe criterion, operational 5 January 2010Allen & Tippett 2015, Electron. J. Severe Storms Meteor. 10(1), 1–31: the characteristics of United States hail reports 1955–2014

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