Reported by SPC 173 days ago.
It is the strongest of the 6 detections recorded within 20 km of this point since 10 March 2026.
What the source measured
SPC reported: Hail 150 in near Oakland, Yalobusha, MS. (MEG)
An estimated 22,314 people live within 50 km of this point.
Nearby, since 10 March 2026
- June 19, 2026 · score 34 · 24.5 km
How we know
One source: SPC. Not yet confirmed by a second, independent source.
Our own score for this event is 40 out of 100, at 85 % confidence.
The score is ours, computed from intensity, exposed population and local history — not the source’s.
Event Data
| Type | Severe weather |
| Severity | high |
| Calamity Score (ours) | 40 / 100 |
| Our confidence | 85% |
| Coordinates | 34.0600, -89.9100 |
| Nearest City | Oxford (50 km) |
| Population Exposed | 22.3K within 50 km |
| Impact Tier | significant |
| Timestamp | 2026-03-10T01:15:00.000Z |
| Source | https://www.spc.noaa.gov/climo/reports/today.html |
Score Breakdown
Technical Details
| ReportType | hail |
| Speed | 150 |
| Location | Oakland |
| County | Yalobusha |
| State | MS |
| Comments | (MEG) |
| Iem TypeSummary | H |
| Iem Magnitude | 1.5 |
| Iem Unit | Inch |
| Iem City | Oakland |
| Iem County | Yalobusha |
| Iem State | MS |
| Iem Wfo | MEG |
| MergedSources | [{"id":"iem_H_34.060_-89.910_1773105300000","source":"iem","severity":"low","severityValue":25,"timestamp":1773105300000}] |
Safety Information
Always follow official guidance from your local emergency management agency. This platform provides scientific monitoring data and is not a substitute for official warnings. If you are in immediate danger, contact your local emergency number.
Series begins 10 February 2026. Comparisons refer to that period only. Collection gap: 14-26 August 2026.
This data is aggregated algorithmically from scientific sources. Not a replacement for official emergency warnings.
Calamity.live data shows a weather event with CalamityScore 40/100, near Oxford (United States), based on data from spc. Source: Calamity.live, a platform aggregating real-time data from 191 scientific monitoring sources.