CV
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Education
- B.S. in Hydraulic Engineering, Tsinghua University, 2019
- Ph.D in Atmospheric and Oceanic Sciences, University of Colorado Boulder, 2024 (expected)
Research interests
- Tropical climate variability
- Subseasonal forecasts
- Air-sea interaction
- Madden-Julian Oscillation
- Indian Summer Monsoon
- Machine learning
Publications
- Du, D., Subramanian, A. C., Han, W., Wei, H. H., Sarojini, B. B., Balmaseda, M., & Vitart, F. (2023). Assessing the Impact of Ocean In Situ Observations on MJO Propagation Across the Maritime Continent in ECMWF Subseasonal Forecasts. Journal of Advances in Modeling Earth Systems, 15(2).
- Du, D., Subramanian, A. C., Han, W., Chapman, W. E., Weiss, J. B., & Bradley, E. (2023) Increase in MJO Predictability Under Global Warming. Nature Climate Change .
- Du, D., Subramanian, A. C., Han, W., Ninad, U., & Runge, J. (accepted, 2024). Causal Analysis Discovers an Enhanced Impact of Tropical Western Pacific on Indian Summer Monsoon Subseasonal Anomalies. Geophysical Research Letters.
- Wei, H.-H., C. Subramanian, A., Karnauskas, K.B., Du, D., Balmaseda, M.A., B. Sarojini, B., Vitart, F., DeMott, C.A. & Mazloff, M.R. (2023), The role of in-situ ocean data assimilation in ECMWF subseasonal forecasts of SST and MLD over the tropical Pacific Ocean. Quarterly Journal of the Royal Meteorological Society.
- Work in Progress: Du, D., Subramanian, A. C., Han, W., Hackert, E., Molod, A., & Lim, Y.-K. Assessing the Impact of Sea Surface Salinity Assimilation on Subseasonal Forecasts in NASA GEOS-S2S v2 Model.
Services
- Reviewer of QJRMS and Climate Dynamics
- Mentor for a REU student on the topic of Tropical Instability Waves, 2021
- Teaching Assistant for Introduction to Oceanography, 2019
Skills
- Fluent in Python and Linux
- Processing CMIP6 model outputs with large ensembles
- Setting up CESM2 experiments
- Setting up AGCM experiments such as ECHAM
- Running ROMS
- Building machine learning models
Honors and Awards
- The 2nd place of student oral presentation at the 11th MJO symposium at AMS, 2023
- Selected to attend the NCAR ASP summer colloquium “the sciences of S2S predictions”, 2021
- Academic Excellence Award and Academic Progress Award, Tsinghua University, 2015-2019