AN OVERVIEW OF OPERATIONAL
FORECASTING FOR WET MICROBURSTS
This tutorial is based on Roeder (1999) and Roeder and Wheeler (1998). Please contact
William P. Roeder
45th Weather Squadron, USAF
Cape Canaveral, FL
if you would like a copy of his original presentations.
1. Introduction
Many advances in the understanding of microbursts have been made over the past 20 years. Although tornadic events are more highly publicized, the damage inflicted by microbursts can be similar to most tornadoes. Microbursts pose a risk to life and property, as well as being a significant threat to the aviation community. Although difficult at times, accurate and timely forecasts for microbursts may be possible if proper forecasting techniques are used. This tutorial will focus explicitly on forecasting the phenomena known as "wet" microbursts.
Wet microbursts are downbursts accompanied by significant precipitation at the surface (Fujita, 1985) which are warmer than their environment (Wakimoto, 1998). These downbursts rely more on the drag of precipitation for downward acceleration of parcels than negative buoyancy which tend to drive "dry" microbursts. As a result, higher mixing ratios are necessary for these downbursts to form (hence the name "wet" microbursts). Melting of ice, particularly hail, appears to play an important role in downburst formation (Wakimoto and Bringi, 1988), especially in the lowest one kilometer above ground level (Proctor, 1989). These factors, among others, make forecasting wet microbursts a difficult task.
A good example of those who need the skills to accurately forecast microbursts are the 45th Weather Squadron (45WS) located at Patrick Air Force Base (PAFB) in Florida. The forecasting responsibilities of the 45WS include Kennedy Space Center (KSC), Cape Canaveral Air Force Station (CCAS), and PAFB: a total population of over 25,000 people and $8 billion worth of resources and facilities (not including payloads). Each year, the 45WS issues over 175 convective and 1200 lightning watches, advisories, and warnings (some of the criteria for their convective wind warnings are listed in Table 1). The impact of these statements can be significant, especially if they result in high false alarm rates, delayed operations schedule, and/or insufficient warning lead time. For the 45WS, as well as for other forecasters, there is always room for improvement in these areas.