Tao Zhang
Environmental Science Associate, Climate & Process Modeling, Environmental and Climate Sciences Department
Brookhaven National Laboratory
Environmental and Climate Sciences Department
Bldg. 490D, Room 3-11
P.O. Box 5000
Upton, NY 11973-5000
(631) 344-8915
tzhang@bnl.gov
My research focuses on using the machine learning technology to identify and capture the main features of the important weather/climate events from observations or reanalysis data. This work can help explore the linear and nonlinear laws, and construct more accurate formal expressions for physical parameterization schemes.
Expertise | Research | Education | Publications | Awards
Expertise
- Machine learning for climate applications
- Uncertainty quantification and parameter tuning for climate system models
- High performance computing for climate applications
Research Activities
- Development experience on Shenwei-TaihuLight (No.1), Tianhe 2 (No.2), Tianhe 1A
- TA of Parallel Programming (undergraduate) of Tsinghua University, 2012-2017
- TA of High Performance Computing Experiment (graduate) of Tsinghua University, 2012-2014
Education
- Department of Computer Science and Technology, Tsinghua University, PhD, 2017
- School of Software Engineering, Tianjin University, B.E., 2011
Selected Publications
- Zhang T, Zhang M, Lin Y, Xue W, Lin W, Yu H, He J, Xin X, Ma H-Y, Xie S, Zheng W (2018) Automatic tuning of the Community Atmospheric Model CAM5.3 by using short-term hindcasts with an improved downhill simplex optimization method. doi: 10.5194/gmd-2018-87
- Fisher RA, Koven CD, Anderegg WRL, Christoffersen BO, Dietze MC, Farrior CE, Holm JA, Hurtt GC, Knox RG, Lawrence PJ, Lichstein JW, Longo M, Matheny AM, Medvigy D, Muller-Landau HC, Powell TL, Serbin SP, Sato H, Shuman JK, Smith B, Trugman AT, Viskari T, Verbeeck H, Weng E, Xu C, Xu X, Zhang T, Moorcroft PR (2017) Vegetation demographics in Earth System Models: A review of progress and priorities. Global Change Biology 24:35–54. doi: 10.1111/gcb.13910
- Zhang T, Li L, Lin Y, Xue W, Xie F, Xu H, Huang X (2015) An automatic and effective parameter optimization method for model tuning. Geoscientific Model Development Discussions 8:3791–3822. doi: 10.5194/gmdd-8-3791-2015
Awards & Recognition
- Schlumberger Calculating Earth Sciences Scholarship, 2014
- IBM Chinese Excellent Student Scholarship, 2011
Brookhaven National Laboratory
Environmental and Climate Sciences Department
Bldg. 490D, Room 3-11
P.O. Box 5000
Upton, NY 11973-5000
(631) 344-8915
tzhang@bnl.gov