Mochi Liao
- Ph.D. in Hydrology and Fluid Dynamics
Name: Mochi Liao
Email: mochi.liao@duke.edu
Phone:
Address:
Education
- 09/2023 – Present: Postdoctoral Fellow, University of Illinois Urbana-Champaign.
- 09/2017 – 07/2023: Ph.D. in Hydrology and Fluid Dynamics, Duke University.
- 09/2013 – 06/2017: B.E. in Hydrology and Water Resources, Wuhan University.
Research Experience
- 07/2015 – 09/2015: Research Assistant, State Key Laboratory, Wuhan University
- 06/2016 – 09/2016: Research Assistant, York University, Canada.
- 09/2017 – 06/2018: Research Fellowship, Duke University.
- 06/2018 – Present: Research Assistant, Duke University.
Scholarships and Awards
- Senol Utku Award, 2023
- AGU Precipitation Award, AGU, 2022
- CUAHSI Summer Institute fellow, CUAHSI, 2022.
- NASA Earth and Space Science Fellowship, NASA, U.S., 2018 – 2021.
- CUAHSI Travel Grant, CUAHSI, 2019.
- Conference Travel Award, Duke CEE, 2019.
- National Scholarship, Ministry of Education, China, 2014 – 2015.
- Outstanding Freshman Scholarship, Wuhan University, China, 2013.
Publications and Conferences
- Liao, M., & Barros, A.P., 2023. Physics-Guided AI Framework to Predict and Correct Radar QPE Errors. Water Resources Research. https://doi.org/10.1029/2023WR034456.
- Liao, M., & Barros, A.P., 2022. Physics-Guided AI Framework to Predict and Correct Radar QPE Errors. AGU 2022
- Liao, M., & Barros, A.P., 2022. Toward Optimal Rainfall – Hydrologic QPE Correction in Headwater Basins. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2022.113107.
- Liao, M., & Barros, A.P. Toward Optimal Rainfall - Hydrologic QPE Correction in Headwater Basins. EGU 2022 (Talk).
- Liao, M., & Barros, A. P. (2019). The Integrated Precipitation and Hydrology Experiment - Hydrologic Applications for the Southeast US (IPHEX-H4SE) Part IV: High-Resolution Enhanced Stage IV-Raingauge Combined Precipitation Product.
- Liao, M., & Barros, A.P. Uphill From Discharge to Spatial Rainfall - Toward a Generalized Topology of Physically-Based Orographic QPE Corrections. AGU 2020 (Talk).
- Liao, M., & Barros, A.P. Toward Optimal Rainfall - Using Hydrologic Dynamics to Unravel the Space-Time Structure of QPE Error. AGU 2019 (Poster).
- Liao, M., Barros, A.P., Kirstetter, P., & Petersen, W.A. Toward Optimum Orographic QPE - Learning from Error during IPHEx and Beyond. AGU 2018 (Poster).