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Full-Text Articles in Meteorology
Verification Of The Cobb Snowfall Forecasting Algorithm, Josh Barnwell
Verification Of The Cobb Snowfall Forecasting Algorithm, Josh Barnwell
Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research
Forecasting storm total snow accumulation is one of the most difficult aspects of meteorological forecasting. The forecaster has to interpret three main variables in order to forecast snowfall accurately. These forecasting variables are the duration of the snowfall, the amount of liquid water the storm will produce, and the snow density or snow ratio. With the advancement of computer models in recent history, the need for a quick and easy interpretation of these variables has grown, and to improve on previous forecasting techniques’ disadvantages with including the three snow forecasting variables. The Cobb Method snowfall forecasting algorithm utilizes model data …
Trends Of Wind And Wind Power Over The Coterminous United States, Eric M. Holt
Trends Of Wind And Wind Power Over The Coterminous United States, Eric M. Holt
Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research
The trends of wind and wind power at a typical wind turbine hub height (80 m) are analyzed using the North American Regional Reanalysis (NARR) dataset for 1979-2009. Based upon the wind speeds at NARR’s vertical layers right above and below the 80 m level, the wind speeds at 80 m are estimated using two methods assuming the wind profile respectively as linear and power-law distribution with respect to the altitude in the lower boundary layer. Furthermore, we calculate the following variables at 80 m that are needed for the estimation and interpretation of wind power: the air density, zonal …
Improved Verification And Analysis Of National Weather Service Point Forecast Matrices, Paul Fajman
Improved Verification And Analysis Of National Weather Service Point Forecast Matrices, Paul Fajman
Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research
Verification is the process of determining the quality of forecast information. Office and personal forecast verifications are significantly lacking throughout the National Weather Service for many reasons. The primary reasons are that verification is time consuming, tedious, and monotonous. This research attempted to ease that process by creating new computer procedures to automate the verification process. The new procedures were tested using two years of forecasting data from November 2007 to November 2009 from the Omaha/Valley Weather Forecasting Office to serve as a framework for future verifications. Point Forecast Matrices (PFM) produced by the National Weather Service twice daily and …