Bio: Ye Mu is a PhD student of climate science with the University of California, Santa Barbara's Department of Geography and graduate student researcher at the Earth Research Institute (ERI). Before joining the University of California, Santa Barbara in September, 2021, Ye completed his Master of Science degree at the San Diego State University and was a research assistant for two years. Ye's research uses large datasets to understand atmospheric systems and climatic modes on the variability of climate extremes.
My UCSB webpage: https://www.geog.ucsb.edu/people/students/ye-mu
Research Group: Climate Variations and Change (CLIVAC) research group
2022 - American Association of Geographers (AAG) Climate Specialty Group student paper competition third place
2021&22 - Jack and Laura Dangermond Geography Travel Scholarship, UCSB
2021 - American Association of Geographers (AAG) Climate Specialty Group student annual meeting fellowship
2021 - Student Success Fee (SSF) grant for geography students to attend the AAG conference, San Diego State University
2021 - Student Success Fee (SSF) grant for Climate Talks, San Diego State University, https://ggsa.sdsu.edu/ggsas-2021-virtual-climate-talks/
2020 - Graduate Student Travel Fund (Spring Cycle), San Diego State University
2020 - William & Vivian Finch Scholarship for Remote Sensing, Department of Geography, San Diego State University
2020 - Student Success Fee (SSF) grant for geography students to attend the American Association of Geographers (AAG) conference, San Diego State University
5) Mar-2022 - Variability of rainfall and associated mechanisms across the Brazilian Legal Amazon. AAG Annual Meeting 2022. Changes in Hydroclimates and Extremes 2.
4) Dec-2021 - Detecting Trends in Dry Season Rainfall from the Satellite Precipitation Estimates and a Dense Rain Gauge Network over the Southwestern Brazilian Amazon. AGU Fall Meeting 2021, New Orleans, H15P-1235.
3) Apr-2021 - Forests mitigate drought in an agricultural region of the Brazilian Amazon. AAG Annual Meeting 2021. Hydroclimatology session II.
2) Dec-2020 - Improving the CHIRPS (V2. 0) precipitation estimates for rainfall extremes using a dense rain gauge network over the Brazilian Amazon. AGU Fall Meeting 2020, H200.
1) Feb-2020 - Land-Cover Classification Using Spectral Mixture Analysis and Random Forest. Student Research Symposium, San Diego State University.
Reviewer for journal: Atmospheric Research; Ecological Indicators; Earth and Space Science; Meteorologische Zeitschrift.