Erica D.

Phd Candidate @Scripps Institution Of Oceanography

San Diego, CA, US

Advanced to PhD candidacy July 2023•Utilized coding languages (MATLAB, Python, NCL), GIS (ArcGIS/QGIS), Microsoft products, and other technical applications to perform complex statistical analysis on large geophysical datasets•Analyzed WRF regional climate model data to identify atmospheric precursors to extreme precipitation events in Southern California\'s (CA) mountainous regions using rigorous statistical methods •Developed high-resolution multi-sensor quantitative precipitation estimates (QPEs) for Southern CA by integrating bias-corrected satellite data with sub-daily rain gauge interpolations using novel methods•Conducted analysis of precipitation extremes in Southern CA using the developed high-resolution QPEs and radiosonde observations; applied statistical methods and tools including Python, MATLAB, and GIS to investigate atmospheric conditions and storm characteristics at fine spatiotemporal scales•Quantified hydro-meteorological triggers of shallow landslides in Southern CA by analyzing high-resolution multi-sensor QPE data and landslide inventories; utilized machine learning techniques in Python and spatial analysis tools in ArcGIS to identify key drivers•Published research findings in high-impact scientific journals (e.g, Journal of Hydrometeorology)•Delivered presentations at key national and international scientific conferences (e.g, the American Geophysical Union, American Meteorological Society, and European Geophysical Union annual meetings)