Global Forecast System

The Global Forecast System (GFS) is a global numerical weather prediction system containing a global computer model and variational analysis run by the United States' National Weather Service (NWS).

An example of a forecast product from the GFS, in this case a 96-hour forecast of 850 mb geopotential height and temperature

Operation

The mathematical model is run four times a day, and produces forecasts for up to 16 days in advance, but with decreased spatial resolution after 10 days. The forecast skill generally decreases with time (as with any numerical weather prediction model) and for longer term forecasts, only the larger scales retain significant accuracy. It is one of the predominant synoptic scale medium-range models in general use.

Principles

The GFS model is a spectral model with an approximate horizontal resolution of 13 km for the first 10 days and 27 km from 240 to 384 hours (16 days). In the vertical, the model is divided into 64 layers and temporally, it produces forecast output every hour for the first 120 hours,[1] three hourly through day 10 and 12 hourly through day 16. The output from the GFS is also used to produce model output statistics.

Variants

In addition to the main model, the GFS is also the basis of a lower-resolution 20-member (22, counting the control and operational members) ensemble that runs concurrently with the operational GFS and is available on the same time scales. This ensemble is referred to as the "Global Ensemble Forecast System" (GEFS). Ensemble model output statistics are available out to 8 days. The GFS ensemble is combined with Canada's Global Environmental Multiscale Model ensemble to form the North American Ensemble Forecast System (NAEFS).

Usage

As with most works of the U.S. government, GFS data is not copyrighted and is available for free in the public domain under provisions of U.S. law. Because of this, the model serves as the basis for the forecasts of numerous private, commercial, and foreign weather companies.

Accuracy

By 2015 the GFS model had fallen behind the accuracy of other global weather models.[2][3] This was most notable in the GFS model incorrectly predicting Hurricane Sandy turning out to sea until four days before landfall, while the European Centre for Medium-Range Weather Forecasts' model predicted landfall correctly at 7 days. Much of this was suggested to be due to limits in computational resources within the National Weather Service. In response, the NWS purchased new supercomputers, increasing processing power from 776 teraflops to 5.78 petaflops.[4][5][6] In 2018, the processing power was increased again to 8.4 petaflops, [7] The agency also tested a potential replacement model with different mechanics, the flow-following, finite-volume icosahedral model (FIM), in the early 2010s; it abandoned that model around 2016 after it did not show substantial improvement over the GFS.

In 2019, as a result of the recent tenfold increase in computing power, an upgrade to the GFS model is planned that will increase its horizontal resolution to 9 km and 128 layers out to 16 days, compared to the current run of 13 km and 64 layers out to 10 days. [7]

As of the 12z run on 19 July 2017, the GFS model has been upgraded. Unlike the recently upgraded ECMWF, the new GFS behaves a bit differently in the tropics and in other regions compared to the previous version.[8] This version accounts more accurately for variables such as the Madden–Julian oscillation and the Saharan Air Layer.

Upgraded dynamical core

On June 12, 2019, after several years of testing, NOAA upgraded the GFS with a new dynamical core, the GFDL Finite-Volume Cubed-Sphere Dynamical Core (FV3), which uses the finite volume method instead of the spectral method used by earlier versions of the GFS. The resulting model, initially developed under the name FV3GFS, inherited the GFS moniker, with the legacy GFS continuing to be run until September 2019.[9][10] Initial testing of the FV3-based GFS showed promise, improving upon the large-scale prediction skill and hurricane track accuracy of the legacy GFS.[11]

gollark: According to the latest research this is highly unlikely.
gollark: https://tenor.com/view/clock-helvetica-falling-numbers-glitch-gif-17952481↓ Tux1's clock
gollark: Yes, this is obvious via use of apiaristic calculus.
gollark: Or possibly just Tux1 doing geometry problems and using a maths holoprojector, it's hard to tell.
gollark: ↑ Tux1 calculating how many bee strikes are inbound and how little time he has to escape

See also

References
  1. Timothy McClung. "Technical Implementation Notice 16-11 Amended". Nation Weather Service. Archived from the original on 5 June 2016. Retrieved 5 June 2016.
  2. Berger, Eric (21 June 2016). "The US weather model is now the fourth best in the world". Ars Technica.
  3. Berger, Eric (11 March 2016). "The European forecast model already kicking America's butt just improved". Ars Technica. Retrieved 16 August 2016.
  4. Kravets, David (5 January 2015). "National Weather Service will boost its supercomputing capacity tenfold". Ars Technica. Retrieved 16 August 2016.
  5. Rice, Doyle (22 February 2016). "Supercomputer quietly puts U.S. weather resources back on top". USA Today. Retrieved 16 August 2016.
  6. "NOAA completes weather and climate supercomputer upgrades". NOAA. Retrieved 16 August 2016.
  7. "NOAA kicks off 2018 with massive supercomputer upgrade | National Oceanic and Atmospheric Administration". www.noaa.gov. Retrieved 20 August 2018.
  8. Team, NCO Web. "NCO PMB – Upcoming Changes". www.nco.ncep.noaa.gov. Retrieved 19 July 2017.
  9. "Service Change Notice 19-40" (PDF). NOAA. Retrieved 12 June 2019.
  10. http://www.noaa.gov/media-release/noaa-to-develop-new-global-weather-model
  11. https://www.aip.org/fyi/2018/noaa-budget-cuts-get-chilly-reception-congress
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