Gfs model update

The federal agency said Monday that there was improvement in precipitation, temperature and hurricane forecasting compared to the older version, and improvement in the accuracy of extreme weather events. Louis W.

Uccellini, the director of the National Weather Service, said in a media conference call Monday afternoon. There was also longer lead times as much as 36 hours, and reduced bias in the model. Tallapragada also noted improvements in the accuracy of lower-level temperatures as well as winter weather and rainfall predictions.

The chief modeler said that the predictions with the recent snow storm in Colorado were better with the newer and now operational version compared to the older one. Data assimilation brings in weather data into the forecast model such as surface observations and satellite data so that it can create a forecast.

After the model update, NOAA wants to improve the way data is ingested into the model to allow for more data to enter. The better forecasts from the global model would assist weather forecasters, such as those in the Pinpoint Weather Team, with providing a more accurate forecast and better lead times with tropical and severe weather. The supercomputers that will be running the newer version are located in Reston, Va.

The computers were said to be among the 30 fastest in the world and would have a combined computing power of 8. This story was updated to add the on-air version of this story with more detail on how weather models work. Skip to content. Eye Cams. Hurricane Headquarters. Remembering Bobby Bowden. Highlight Of The Week. Art Myers Signing Off.

Election Results. Gas Prices. Community Classroom. Teacher of the Month. Shop Double Dollar Deals. Shop Ask The Experts. Those equations can be drastically different depending on the region, its terrain, its man-made objects and many other inputs. Moreover, forecasting requires a vast array of meteorological data, collected by satellites, observation systems, automatic and manned stations, aircraft, ships, weather balloons and so on. That is why there are dozens of forecast models currently in existence, each tailored for a specific task.

There are two main types of forecast models: global ones, covering the entire planet, and local ones, covering specific areas, such as continents, countries, mountain ranges and so on. Both global and local models also vary in their resolutions, which is the distance between two grid points.

Bigger resolutions of 50 to 10 km in size are usually deployed in relatively flat terrains, while mountain ranges require the nodes to be a lot closer to each other, usually 5, 2 or 1 km. Resolution: various 14 km in Windy. The ECMWF is a European global forecast seamless model and it is widely regarded as the best and most reliable model currently in existence.

It uses a concept called 4D, which is an assimilation that allows the model to be constantly updated as new satellite or other input data becomes available. Good for oceans. Official website. The most important variables of the ICON are considered to be air density and virtual potential temperature, horizontal and vertical wind speed, humidity, cloud water, cloud ice, rain and snow.

This model runs every 12 hours, with its output running out to 3 days. The global model is considered reliable, and is a base for some regional small-scale models e. New Zealand. The CFS is a global numerical model. The model is based on 11 years of weather observations.

On each calendar date, the straight average value, determined from the available 11 values, is in general composed of the following components: the true climatological annual cycle, meteorological noise, climatological noise, model noise. The model forecast period is 9 months. It may have poor prediction value, but looks useful for long-term planning. Resolution: down to m 8 km in Windy. The WRF was a result of a collaborative effort of several agencies and laboratories across the globe in the s.

It is a codebase for further forecast model processing. It is applicable globally and can take local geography and topography into account. It has a wide range of different physical parameters and demands vast resources to process.