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So which model is generally speaking more accurate? Statistically speaking, the very clear answer is that the ECMWF consistently performs better than the GFS, as the model skill score graph above shows.

?MOS stands for Model Output Statistics. Forecast models such as the Global Forecast System (GFS) don't automatically produce a point forecast for a specific town or airport, so MOS takes the 'raw' model forecast and applies a statistical method that produces an objective, site-specific forecast for a town or airport.

Types of Weather Models The ECMWF is generally considered the most accurate, just slightly so, than the American system. However, they do provide access to weather predictions worldwide. The most accurate model, on average, is the European model.

N/X = nighttime minimum/daytime maximum surface temperatures. TMP = surface temperature valid at that hour. DPT = surface dewpoint valid at that hour. CLD = forecast categories of total sky cover valid at that hour. WDR = forecasts of the 10-meter wind direction at the hour, given in tens of degrees.

MOS forecasts can be valuable advisories, but TAFs are the official sources for airport forecasts. That's because they are created by meteorologists at the National Weather Services' weather forecast offices who are familiar with local weather patterns.

MOS is an automated weather product that generates forecasts for over 2000 U.S. airports, including many that do not receive official TAFs.

The LAMP bested the TAF in accurately forecasting IFR-or-better ceilings, with the LAMP being correct 78 percent of the time versus 56 percent for the TAF. The LAMP predicted LIFR when in actuality IFR-or-better ceilings prevailed nearly half (48 percent) of those times.

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GFS MOS is a suite of text-bulletin and graphical products developed and supported by MDL. Both product types include meteorolgical guidance for a suite of variables (Temperature, Dewpoint, Precipitation Amount, etc.).

The National Blend of Models (NBM) is a nationally consistent and skillful suite of calibrated forecast guidance based on a blend of both NWS and non-NWS numerical weather prediction model data and post-processed model guidance.