Watching your rear Neil I. Fox with help from Elizabeth Hatter and Liz Heiberg Dept. Soil, Environmental and Atmospheric Science University of Missouri - Columbia
The importance of rear edge propagation velocity in flash flood forecasting Why worry about your rear How your rear moves compared to your middle Using knowledge of your rear operationally Stop the rear jokes
Why worry about your rear? Current nowcasting tools (e.g., SCIT tracks, TITAN) concentrate on the motion of storm ‘center’ Excellent for Severe Weather warning Flash flood forecasting: Interested in total duration of precipitation Event management / Emergency services like to know end time
Storm velocity Current storm tracks tell you when stuff will arrive In (flash) flood forecasting the characterization of storm velocity (stationarity) is the least well parameterized factor.
This study looked at A comparison of WATADS generated SCIT storm cell velocities and diagnosed rear edge motion vectors Hypothesis The rear edge of a storm tends to move more slowly than the center (therefore durations of storms will be underestimated)The rear edge of a storm tends to move more slowly than the center (therefore durations of storms will be underestimated)
This study then looked at The use of three measures of storm velocity as indicators of flash flood potential 1/v c1/v c 1/v r1/v r (v c -v r )/v c v r(v c -v r )/v c v r The last of these is defined as the ‘Storm Duration Factor’
Difference between v c & v r
Storm duration factor (SDF) Duration (D) over a point at distance x : Rainfall accumulation (R a ) at x assuming steady-state rainfall rate R:
Data Data was taken from a number of cases where (flash) flooding occurred Level II data, analyzed using WATADS A range of storm types, locations and situations Not all storm cells observed caused flooding
Case studies KLSX 05/07/2000 KEAX 08/18/2002 KHTX 05/05/2003 KEWX 06/28/2002
Analysis Centroid velocities found using the NSSL algorithms (SCIT) fastest cell if there’s a choicefastest cell if there’s a choice Rear edge velocities found by locating position from tracing centroid vector backward until Z falls below threshold Positions for scans 15 mins apart used to calculate velocities (to reduce errors)
Rear edge location
Analysis The three measures were plotted against rainfall accumulations for the subsequent 60 minutesfor the subsequent 60 minutes 25 km, 50 km and 75 km ahead of storm center location25 km, 50 km and 75 km ahead of storm center location
Comparison of v c & v r
Velocities 70 data points Mean v c = 27.4 ± 7.7 m s -1 Mean v r = 13.0 ± 5.9 m s -1
1/v c & precip accumulation
1/v r & precip accumulation
SDF & precip accumulation
Results All correlation coefficients are horrible If you squint you can kind of see what you want to see More work required!!
Extensions More analysis Breakdown by storm type Better selection of points of interest areas of interest?areas of interest? Incorporation of rainfall rate?