WxJournal v2.0

Meteorological Skill & Analytics Platform

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đŸŒŠī¸ Modern Meteorological Journal & Skill Engine

Quantify Your Forecasting Skill.
Verify Against Climate Data.

The dedicated platform for meteorologists and weather enthusiasts to log daily forecasts, verify against automated climate stations (RCC-ACIS, Weather Underground PWS, & Airport METARs), and track MAE, RMSE, & Brier Scores over time.

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Multi-Station Observation Fetching

Connect up to 5 verification stations per location. Automatically fetch official RCC-ACIS climate center observations, Weather Underground PWS data, or airport METAR weather reports with one click.

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NumPy & Pandas Skill Score Engine

Quantify your forecast accuracy with Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) for temperature and wind, plus Brier Scores for precipitation probability.

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Real-Time Historical Record Alerts

Input your high, low, or rainfall forecast and receive instant warnings when your predicted values tie or exceed historical station extremes.

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Synoptic Analogs & Post-Mortem Notes

Filter historical forecast runs by synoptic tags, temperature ranges, frontal types, and detailed post-mortem model failure analyses.

Ready to elevate your meteorological journal?

Create your personal account now to start logging daily forecasts, tracking verification errors, and building your analog library.

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