GFE Grid Monitor (GM)
02 July 2018 at 21Z

User Guide 

The GFE Grid Monitor compares GFE gridded data sets and presents graphics that represent summaries of those comparisons toward the goal of enhancing forecaster situational awareness. It does not modify grids, although future enhancements may allow forecasters to launch tools that can change grid values. While the Grid Monitor is intended to be used for comparing gridded forecasts to gridded analyses of observations and forecasts to forecasts, it designed to compare any GFE gridded data set with any other GFE data set of the same weather element. So, if your site has configured GFE to display climatological data sets, for example, the Grid Monitor will allow those comparisons by default with only minor configuration required. 

The main purpose of the Grid Monitor is to enhance forecaster awareness of the state of their forecast as compared to gridded observations. However, it has been designed as a framework to allow many more potential uses. Because of this framework design, forecasters may discover more uses for the monitor than originally conceived. Below we list a few of these uses. 

Assess the Quality of the Official Forecast 
The most important function of the Grid Monitor is to compare working (Fcst) or Official forecast weather elements to gridded analyses of observations. This gives the forecaster the ability to objectively assess the quality of any gridded forecast at each forecast point. The summary graphic displays an unbiased comparison between the forecast and the gridded analysis of choice (RTMA, MSAS, Obs). The area over which the comparison is made can be defined by the forecaster as well as graphical representation of this comparison. 

Assess the Quality of the Any Model or Consensus 
To examine how well a particular model or consensus blend has been performing, forecasters may compare any forecast data set to a gridded analysis of observations. This allows them to determine the quality of any forecast in real­time, providing guidance as to which forecast data set is performing best, and a potential contributor to the official forecast.

Compare the Official Forecast to any Model or Consensus 
The Grid Monitor can also assess how well the Official forecast compares to any forecast model or consensus model blend. Users only need to change the data set that is compared to the GFE forecast and comparison graphics will be generated for those data sets. This allows forecasters to assess whether new models are colder/warmer or wetter/drier than the current forecast. 

Compare any Model or Consensus to any other model or Consensus 
Occasionally forecasters may want to employ the Grid Monitor to compare elements from two numerical models to determine how they differ. For example, one can compare how the latest NAM12 compared to a Consensus generated from a suite of models, or compare the latest GFS40 to the previous run of the GFS40 to determine any temporal trends implied by the latest model run.

Compare any Gridded Data Set to Climatology 
To better understand how much a model, consensus, or Official forecast deviates from climatology, forecasters can also compare these data sets to climatology, presuming climatological data sets are configured in your GFE. This is a quick and easy way to determine how the current forecast compares to what is expected for current time of year. 

Area¬≠Specific Comparison 
Any of the above mentioned comparisons can be restricted to a specific geographic (Edit) area. This provides the user with the ability to assess regions that may have a tendency to diverge from the guidance or forecast with greater variability than others within the county warning area.

GFE Forecast Monitor (GFM)
02 July 2018 at 21:39Z

The GFM has the goal of enhancing forecaster situational awareness. It does not modify grids...

The GFE Forecast Monitor (GFM) program was developed to aid the forecaster in monitoring hourly forecasts by comparing them to the latest observations. The GFM will alert the forecaster when the forecast is exceeding set thresholds of temperature, dewpoint, relative humidity, wind speed and direction, cloud cover, and weather.