The Storm Prediction Center publishes convective outlooks. NWS offices issue watches and warnings. Local TV meteorologists go live during significant events. All of this content is built for consumers - people preparing for the storm.
None of it is designed for people who want to publish their own spring severe weather forecasts. People who have the meteorological training or serious enthusiast experience to evaluate setup parameters before a major outbreak, stake a regional prediction, and build a track record for being right.
That's the gap this guide covers. Spring severe season runs April through June across the central and southern US - the highest-stakes forecasting window of the year for independent forecasters in that region. Here's how to publish structured severe weather forecasts that are specific, verifiable, and worth following.
What makes severe weather forecasting different
Severe weather forecasting has characteristics that make it structurally different from winter storm forecasting:
The timing window is compressed. A winter storm might have a 3-5 day forecast window with relatively stable guidance. A severe weather outbreak has a meaningful forecast window of 24-72 hours before the event and a rapidly-evolving picture during the event. Your forecast needs to be published early enough to be useful and updated as the setup evolves.
Hazard types are multi-variate. A winter storm forecast is primarily about accumulation. A severe weather forecast involves tornado potential, hail size, wind gust thresholds, and flash flooding - often varying significantly by region within the same event. Your regional predictions need to capture which hazard applies where.
Verification is categorical, not continuous. Snow verification is straightforward - how many inches fell versus your predicted range? Severe weather verification is more complex: did a tornado touch down in your predicted region? Did hail reach your stated size threshold? Did wind gusts exceed your predicted range? The verification logic is binary per hazard, not a continuous accuracy score.
Uncertainty communication is critical. More than any other weather type, severe weather forecasting involves genuine uncertainty about whether an event will occur at all, not just its magnitude. A forecast that says "30% tornado probability in the moderate risk zone" is more honest and more useful than one that says "tornadoes possible" without quantification.
The pre-event forecast: what to publish 48-72 hours out
The best severe weather forecasters publish twice: a 48-72 hour outlook that establishes regional threat zones, and a 24-hour update that sharpens the prediction based on updated guidance.
The 48-72 hour forecast should cover:
Regional hazard zones - draw your coverage regions on the map and assign a categorical threat level (enhanced, moderate, slight, marginal in SPC terminology, or your own equivalent). This is where Forecaster HQ's storm forecast template is useful: you can draw any polygon shape and attach a label and value. For severe weather, the "value" field becomes the hazard category or threat percentage.
Primary hazard per zone - which regions are the tornado threat? Which are primarily the wind and hail story? This geographic specificity is what separates a serious forecast from a generic "storms are possible" announcement.
Temporal window - when does the primary threat window open and close? "4pm-10pm CDT Tuesday across the moderate risk zone, with the greatest tornado potential during the 5-8pm window" is a testable prediction. "Storm chances Tuesday" is not.
Your reasoning - what environmental parameters are you looking at? CAPE and shear are the foundation; convective mode, cap strength, and hodograph shape determine whether the setup is a discrete-cell tornado day or a linear squall line event. A paragraph explaining why you're making the prediction you're making is what makes your forecast educational, not just descriptive.
Explicit uncertainty range - where is the confidence lower? A confidence statement per region (high / moderate / low, or a percentage range) makes your forecast more honest and more useful for the audience trying to decide whether to change plans.
The 24-hour update: refining the prediction
By 24 hours before the primary threat window, models have converged enough to sharpen the prediction. This is when you update your regional zones based on the latest guidance, adjust your timing windows, and flag whether the setup has trended better or worse than your initial forecast.
The update doesn't have to be long. The audience who follows you already knows the context from your 48-hour post. The update is: here's what changed, here's what I'm watching, here's my current call.
This incremental update approach is how the forecasters who build reputations in the severe weather community operate. It's also what creates the richest verification record - your initial call at 72 hours, your refined call at 24 hours, and then the verification data after the event. That three-point record is more informative than a single forecast.
What to verify after the event
Severe weather verification is handled automatically on Forecaster HQ for the data types available through NWS and IEM networks. For some severe weather events, additional verification requires checking storm reports manually:
For wind gusts: NWS ASOS station observations provide wind data at observation points throughout your forecast regions. Verification compares your predicted ranges against station-recorded maximums.
For tornado occurrence: Local Storm Reports (LSRs) from IEM and NWS are the verification source. Did a tornado touch down in your predicted region? Was the path consistent with your expected region of greatest threat?
For hail size: LSRs include hail size reports from storm spotters and damage surveys. These are verification-quality data even though they're point observations, not gridded coverage.
After the event, publish the verification data alongside your own assessment: what you got right, what you missed, and what the environment was doing that you either read correctly or misread. The honest post-mortem is the content that builds the most durable credibility.
Building a severe weather audience
The severe weather enthusiast community is concentrated in a few places:
SpotterNetwork and Skywarn communities - trained storm spotters are a technically engaged audience who recognize and appreciate sophisticated forecast analysis. These communities exist at the intersection of enthusiasm and formal training and are highly likely to become loyal followers if you consistently produce quality analysis.
X/Bluesky during active events - the #SevereWeather hashtag and the broader weather Twitter community are extremely active during significant outbreak events. Posting your forecast with your regional map and tagging relevant coverage areas before an event is the fastest way to reach an engaged audience.
Local emergency management networks - county emergency managers, fire departments, and public safety agencies in tornado-prone regions want early, specific forecasts from credible sources. A forecaster with a verified track record who proactively shares forecasts with local emergency management is providing genuine public service - and building relationships that generate long-term credibility.
The verification record is the magnet. The severe weather community has a long memory for forecasters who called specific outbreaks correctly. A visible verification record on your public profile is the single most effective tool for converting new visitors into subscribers.
Getting started before the peak window
The peak of spring severe season runs April through June. If you're starting now, you may still be in the active part of the season - but the principles apply to the full severe weather year, including the secondary severe season (November-December in the southern US and Gulf Coast region).
The workflow is the same regardless of the season:
- Create your Forecaster HQ profile and set up your coverage geography
- Publish your first severe weather outlook for the next significant setup in your region - even if you're uncertain, publish with explicit uncertainty language
- Update incrementally as the event approaches
- Verify after the event and publish the verification data
The track record starts with the first forecast. See what a finished severe weather forecast looks like on Forecaster HQ →
If spring tornado season is your focus, How to Publish Your Spring Tornado and Severe Weather Forecasts Online covers the tornado-specific workflow - drawing SPC-style categorical risk zones, timing your 48h vs. 24h outlooks, and verifying against IEM storm reports after an outbreak.
You're already doing the analysis. The structured forecast is how you make it verifiable.