FORECASTING THE WEATHER, PARTICULARLY STORMS, FROM PILOT-BALLOON OBSERVATIONS

Forecasting dust storms using the CARMA-dust model and MM5 weather data

An operational model for the forecast of dust storms in Northern Africa, the Middle East and Southwest Asia has been developed for the United States Air Force Weather Agency (AFWA). The dust forecast model uses the 5th generation Penn State Mesoscale Meteorology Model (MM5) as input to the University of Colorado CARMA dust transport model. AFWA undertook a 60 day evaluation of the effectiveness...

Forecasting severe ice storms using numerical weather prediction: the March 2010 Newfoundland event

The northeast coast of North America is frequently hit by severe ice storms. These freezing rain events can produce large ice accretions that damage structures, frequently power transmission and distribution infrastructure. For this reason, it is highly desirable to model and forecast such icing events, so that the consequent damages can be prevented or mitigated. The case study presented in th...

Effectiveness of Adaptive Observations in Improving Numerical Weather Forecasting

Over the past 40 years there have been significant improvements in weather forecasting. These improvements are primarily due to (1) improved model physics and increased numerical grid resolution made possible by ever-increasing computational power, and (2) improved model initialization made possible by the use of satellite-derived remotely sensed data. In spite of these improvements, however, w...

7 . 8 Forecasting Dust Storms using CARMA - Dust Model and MM 5 Weather Data

An operational model for the forecast of dust storms in Northern Africa, the Middle East and Southwest Asia has been developed for the United States Air Force Weather Agency (AFWA). The dust forecast model uses the 5 generation Penn State Mesoscale Meteorology Model (MM5) and the University of Colorado CARMA dust transport model. In a unique study, AFWA undertook a 60 study to evaluate the effe...

Long-range Weather Forecasting