tianyu jiang

Compiled a report detailing the current market for the rubber industry in China.

* ➢ Statistical analysis on weather/climate events based on real-world data and numerical model. * ➢ Develop probabilistic model and catastrophe model for weather impact quantification. * Develop an inverse model to quantitatively understand the flooding impact and upstream cause. * Create an extreme weather recognition suite (including floods and droughts) for predicting and estimating hazardous weather over West Coast of U.S. * Develop a risk model to estimate hurricane impact on Gulf coast with Python. * Develop a Matlab-based probabilistic model to quantify the Tobacco loss distribution resulting from extreme weather events for a Chinese agricultural insurance product * Develop a well-recognized state-of the-art atmospheric river detection method * Result is highlighted in American Meteorological Society Annual Meeting

* ➢ Data mining and numerical model evaluation * Perform statistical analysis on large-scale datasets * Conduct numerical simulation to mimic real-world extreme weather.

Used the NASA climate model (GISS ModelE), to evaluate dynamical coupling between the troposphere and stratosphere.

Developed a visualization system for a land surface model. Used a combination of MATLAB, FORTRAN and Visual Basic.