Objective Overshooting Top and Cold V Detection Overshooting tops and the cold (“enhanced”) U/V signature are important indicators of storm severity and aviation turbulence Objective detection algorithms for these two signatures are required for the GOES-R ABI Aviation Algorithm Working Group 2 km WRF Simulated Total Hydrometeor Mixing Ratio Isosurface Colored By 3-D WRF Temperature Field K. Bedka and GOES-R ABI Proxy Data Team (UW-CIMSS)

Difference Between OT and Surrounding Anvil: 50 Cases Minimum OT Temperature: 450 Cases

Objective Day/Night Overshooting Top Detection 1 km AVHRR Objective Day/Night Overshooting Top Detection IR window imagery is used to identify overshooting tops occurring during both day and night A study of 450 enhanced-V producing overshooting top cases (Brunner et al. (WAF, 2007)) shows that tops are: isolated clusters of pixels (< 12 km2 area) colder than 215 K and NWP tropopause temp significantly colder (> 6.5 K) than the surrounding anvil cloud Higher ABI spatial resolution leads to better observation of cold BT minima and improved overshooting detection Overshooting Detection Using 2 km ABI Overshooting Detection Using 4 km GOES-12 Summer 2006 Turbulence Frequency 0-25 km Radius: 25% 26-50 km Radius: 15% 51-100 km Radius: 9% K. Bedka and R. Dworak (UW-CIMSS)

Objective Overshooting Top Turbulence Validation Match Distance # Matches Frequency of Light Frequency of Moderate Frequency of Severe 0-25 km 1710 17.5% 7.1% .23% 26-50 km 3112 12.4% 2.2% .06% 51-100 km 16056 7.9% 1.2% Next step is to identify frequency of turbulence associated with non-overshooting cold pixels that failed OT detection algorithm criteria...i.e. those not significantly colder than surrounding pixels

Toward Objective Mountain Wave Detection in WV Imagery Pattern recognition techniques are being investigated to objectively isolate interference patterns MODIS cloud mask being used to screen out wave patterns than can occur in jet stream cirrus clouds MODIS WV Imagery