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Lightning Observations and Applications at Various Scales. Scott D. Rudlosky Physical Scientist NOAA/NESDIS/STAR College Park, MD. Located at the University of Maryland’s Cooperative Institute for Climate and Satellites (CICS) a nd Earth System Science Interdisiplinary Center (ESSIC).
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Lightning Observations and Applications at Various Scales Scott D. Rudlosky Physical Scientist NOAA/NESDIS/STAR College Park, MD Located at the University of Maryland’s Cooperative Institute for Climate and Satellites (CICS) and Earth System Science Interdisiplinary Center (ESSIC)
Locations of Present LMA Networks Intra-Cloud (IC) Lightning • The first flash in a storm is almost always intra-cloud (IC), and the great majority of flashes are IC (typically > 3 to 1) • Local LMA networks detect VHF radiation “sources” (at 60 MHz) that are emitted by IC flashes and upper portions of CG flashes • Few National Weather Service (NWS) offices have real-time access to these data
CHUVA – Sao Paulo LMA Deployment LINET Sensor LMA Sensor Sensor Locations LMA Sensor LMA Computer, Battery, Charger
CHUVA =Cloud processes of tHe main precipitation systems in Brazil: A contribUtion to cloud resolVing modeling and to the GPM (GlobAl Precipitation Measurement)
Lightning Observation From Space Tropical Rainfall Measurement Mission The Future !!!
LMA Density 2×2 km Reflectivity at 4 km AGL GLM Proxy 8×8 km Develop and Evaluate GLM-Proxy Data LMA Resolution GLM Resolution LMA Resolution GLM Resolution
Combining Lightning and Radar Observations • Rotation and Hail Parameters • Observed for temporal trends • Accumulated to create paths • Tracked within individual storms • A “lightning jump” clearly precedes severe weather at the surface (see below) Rotation Track - 120 min Hail Swath - 120 min
Washington DC Lightning Mapping Array • The DCLMA has been operational with 8 sensors since late 2006 (two added in 2009) • Provides insights into storm-scale processes • Improves situational awareness during severe weather warning operations LMA Flash Extent Density
COMET Collaborative Research Project • Development and Evaluation of WES Cases to Investigate the Use of Pseudo-GLM Products during Warning Operations at the Sterling WFO • Background • Study began during Fall 2011 • Working closely with Steve Zubrick and Bryan Jackson • Original graduate student left school (replacement selected) • Research Progress • Select cases of interest (20 April 2008, 3 June 2009) • Gather archived data (lightning, radar, and model-derived) • Compose outlines for WES cases • Create pseudo-GLM products (Geoffrey Stano) • Incorporate pGLM products • Develop WES cases