Not sure if this is the right post for this but I've been inputting the model runs from this post for a good few weeks into AI to see If it can work out the most reliable provider. This it what it's come up with.
Subject: Personal Model Verification: ECMWF vs GEFS vs GFS (Summer Track Record)
Having tracked the model runs closely over the past few months against actual UK synoptic behavior, I’ve put together a quick post-mortem on how the main global models have performed.
1. THE WINNER: ECMWF / AIFS
• Synoptic Accuracy: Hands down the most grounded of the group. Whenever GFS attempted to introduce phantom Atlantic troughing or severe thermal spikes at T+240, the Euro was far quicker to lock onto the persistent European High-Pressure block (1016mb–1030mb).
• AIFS Performance: The AI-driven AIFS run performed remarkably well at nailing the core temperature envelope for southern England (maintaining the 22°C–25°C baseline with brief 29°C spikes) without getting spooked by operational noise.
2. THE TRUTH FILTER: GEFS (ENSEMBLES)
• Outlier Filtering: Essential for cutting through the operational hysteria. When social media started hyping up "40°C heatwaves," the GEFS mean consistently held ground in the manageable high-20s.
• North-South Split: Correctly identified weeks in advance that the Atlantic storm track would be deflected northward—properly keeping high rain totals over Scotland while keeping the South locked in dry conditions.
3. THE WILDCARD: GFS OPERATIONAL
• High Volatility: Continuously struggled at long lead times (T+180h+).
• Phantom Fronts: Kept teasing Channel breakdowns that completely evaporated within 48 hours as the continental ridge squeezed them out.
• Low-Pressure Phantom Spikes: Just recently spun up a deep 960mb ex-hurricane off Newfoundland heading straight for the UK, only to completely drop it from the charts on the very next 0z run.
SUMMARY / KEY TAKEAWAYS
1. ECMWF / AIFS: Best for determining real synoptic positioning (whether Highs will actually hold or break).
2. GEFS Ensembles: Best for realistic temperature bounds and filtering out phantom heat spikes.
3. GFS Op: Useful for catching early hints of trend changes, but unreliable for medium- to long-range details until supported by ECM.
Originally Posted by: Robsterwebb