@usc.edu Feng Zhu

Ph.D. candidate in Earth Sciences > Paleoclimate Data Analysis & Modeling



I am looking for a postdoc position starting from Summer or Fall 2021.

Here is my CV.

Intro

Welcome!

Hello, world! My name is Feng Zhu. I am a climate scientist, a math enthusiast, a scientific programmer, and an amateur chess player (top 0.5% w/ 2100 Elo rating on Chess.com).

After graduation from UW-Madison with an M.S. in Atmospheric and Oceanic Sciences in Spring 2016, I became a Ph.D. student in Earth Sciences at USC, doing research in paleoclimatology. Now, I am looking for a postdoc position starting from Summer or Fall 2021, and here is my CV.

Research Interests

So many interesting topics.

Atmospheric Modeling

When I was in China, I developed a simplified 2-D Cloud Resolving Model from scratch. Modeling atmospheric dynamics is much fun!

Numerical Methods

The development of cutting-edge numerical methods makes it possible to address analytically unresolvable problems.

Dynamical System

"Can a butterfly in Brazil really cause a tornado in Texas?"

Wavelet & Spectral Analysis

Investigating data in the frequency domain gives lots of insights that cannot be seen in the time domain.

Data Assimilation

Making sense of data.

Machine Learning

Given that i like math and chess, machine learning and AI stuff are naturally interesting to me.

Education

Lazy isn't in my vocabulary.
Sep 2016 – Present

University of Southern California

Ph.D. in Earth Sciences

Los Angeles, CA, USA

Trying to do really good science with my advisor Prof. Julien Emile-Geay.

Sep 2014 – Jun 2016

University of Wisconsin-Madison

M.S. in Atmosheric & Oceanic Science

Madison, WI, USA

I am glad that I did some serious mathematical studies in a very strong math department during my second year at UW-Madison.

Sep 2012 – Jun 2014

Chinese Academy of Meteorological Sciences

M.S. in Meteorology

Beijing, China

Did lots of work in a relatively short time. Thanks to my advisor Dr. Guoqiang Xu and my friends who supported and helped me, I made it!

Sep 2008 – Jun 2012

Nanjing University of Information Science & Technology

B.S. in Atmospheric Scienc

Nanjing, China

The place where dream starts.

Research Projects

fun, fun, fun

Temperature Response to Volcanism in Last Millennium Reanalysis

2020, part of my Ph.D. thesis in Paleoclimatology

The response to volcanic eruptions is a critical benchmark of the performance of climate models. Previous studies of the past millennium have identified discrepancies between model simulations and climate reconstructions regarding the temperature response to volcanic eruptions, raising concerns regarding the source of this mismatch and implications for both models and reconstructions. By evaluating the leading sources of differences between simulations and reconstructions, this study shows that accounting for known factors largely bridges the gap.


Scaling Behavior of Global Mean Surface Temperature

2019, part of my Ph.D. thesis in Paleoclimatology

Climate models are foundational to formulations of climate policy and must successfully reproduce key features of the climate system. The temporal spectrum of observed global surface temperature is one such critical benchmark. This spectrum is known to obey scaling laws connecting astronomical forcings, from orbital to annual scales. We provide evidence that the current hierarchy of climate models is capable of reproducing the increase in variance in global-mean temperature at low frequencies. We suggest that successful climate predictions at decadal-to-centennial horizons hinge critically on the accuracy of initial and boundary conditions, particularly for the deep ocean state.


A Simplified 2-D Cloud Resolving Model

2014, part of my M.S. thesis in Numerical Weather Prediction

A simplified 2-D Cloud Resolving Model (CRM) is developed from scratch. It consists of a fully compressible dynamic core and mainly a WSM6 microphysics scheme transplanted from WRF. The dynamic core is designed on a horizontally stagged Arakawa-C grid with Charney-Phillips vertical variable configuration. The time integration scheme is Runge-Kutta 3-order, and the spacial discretization scheme is 5-order. Physical schemes are WSM6 microphysics with a simple K-theory subgrid mixing scheme and a simple binary (0-1) cloud fraction scheme. Several 2-D ideal experiments are conducted, including density current, convective thermal bubble, internal gravity wave, and an ideal thunderstorm experiment.

Publications

Trying to do more.

2020

Feng Zhu, Julien Emile-Geay, Kevin J. Anchukaitis, Gregory J. Hakim, Andrew Wittenberg, Mariano Morales, and Johnathan King, 2020: Volcanoes and ENSO: a re-appraisal with the Last Millennium Reanalysis. Nature Climate Change. In preparation.

Feng Zhu, Julien Emile-Geay, Gregory J. Hakim, Johnathan King, and Kevin J. Anchukaitis, 2020: Resolving the differences in the simulated and reconstructed climate response to volcanism over the last millennium. Geophysical Research Letters. doi:10.1029/2019GL086908.

Julien Emile-Geay, Kim M. Cobb, Julia E. Cole, Mary Elliot, and Feng Zhu, 2020: Past ENSO Variability: Obser-vations, Models, and Implications. In El Niño and Southern Oscillation in A Changing Climate, Book Chapter 5. American Geophysical Union. Table of Contents.

2019

Feng Zhu, Julien Emile-Geay, Nicholas P. McKay, Gregory J. Hakim, Deborah Khider, Toby R. Ault, Eric J. Steig, Sylvia Dee, and James W. Kirchner, 2019: Climate models can correctly simulate the continuum of global-average temperature variability. PNAS. doi:10.1073/pnas.1809959116.

PAGES 2k Consortium (Raphael Neukom, Luis A. Barboza, Michael P. Erb, Feng Shi, Julien Emile-Geay, Michael N.Evans, Jörg Franke, Darrell S. Kaufman, Lucie Lücke, Kira Rehfeld, Andrew Schurer,Feng Zhu, Stefan Brön-nimann, Gregory J. Hakim, Benjamin J. Henley, Fredrik Charpentier Ljungqvist, Nicholas McKay, VeronikaValler, and Lucien von Gunten), 2019: Consistent multidecadal variability in global temperature reconstructions and simulations over the Common Era. Nature Geoscience. doi:10.1038/s41561-019-0400-0.

Michael N. Evans, Hugo Goosse, Julien Emile-Geay, Feng Zhu, Sylvia Dee, J. Franke, J. Jeong, J. Rezsöhazy, DianeThompson, D.Amrhein, M. A. Cane, A. Kaplan, E. Kalnay, V. Tallapragada, M. F. Loutre, Luke A Parsons, J.Nadimikeri, Sandy Herho, 2019: Toward community resources for paleoclimate data assimilation, reanalysis, and proxy system modeling. Past Global Changes Magazine. doi:10.22498/pages.27.2.88.

2015

Feng Zhu, Guoqiang Xu, Xiaohui Zheng, and Yuhong Wang, 2015: Superparameterization in GRAPES: the construction of SP-GRAPES and associated preliminary results. Journal of Meteorological Research. doi:10.1007/s13351-015-4074-2.

2014

Feng Zhu, Guoqiang Xu, Li Li, Xiaohui Zheng, and Shengjun Zhang, 2014: An Assessment of the Impact on Precipitation Prediction in the Middle and Lower Reaches of the Yangtze River Made by Assimilating GPSPW Data in Qinghai-Tibet Plateau. Chinese Journal of Atmospheric Sciences (in Chinese). doi:10.3878/j.issn.1006-9895.2013.13117.

Peer Review Activity

Adding values to scholarly work.

2020

Nature - reviewer | "Nature is the world’s most highly cited interdisciplinary science journal, according to the 2013 Journal Citation Reports Science Edition (Thomson Reuters, 2014). Its Impact Factor is 42.351." ORCID reviewer activity record

Academic Presentations

Showtime.

2020

EGU General Assembly, Online, 2020: Resolving the differences in the simulated and reconstructed temperature response to volcanism over the Last Millennium Reanalysis. Online Discussion.

2019

AGU Fall Meeting, San Francisco, CA, USA, 2019: The climate response to Common Era volcanism: insights from the Last Millennium Reanalysis. Talk.

Water Isotopes and Climate Workshop, Boulder, CO, USA, 2019: Direct assimilation of water isotope observations in the Last Millennium Reanalysis. Poster.

Data Assimilation, Reanalyses and Proxy System Modeling in Paleoenvironmental Science (DAPS) 2nd Workshop, College Park, MD, USA, 2019: PAGES2k pseudoproxy emulations. Talk.

Climate Variability across Scales (CVAS) 3rd Workshop, Seattle, WA, USA, 2019: Do climate models underestimate the global temperature variability? Talk.

2018

AGU Fall Meeting, Washington, DC, USA, 2018: Can climate models underestimate the continuum of temperature variability? Talk.

Urbino Summer School in Paleoclimatology, Urbino, Italy, 2018: Do climate models underestimate the global temperature variability? Poster.

2017

AGU Fall Meeting, New Orleans, LA, USA, 2017: Bridging the spectral divide: a case study with PAGES2k, the CESM Last Millennium Ensemble, and proxy system models. Poster.

Last Millennium Reanalysis 3rd Annual Workshop, Boulder, CO, USA, 2017: Bridging the spectral divide: a case study with PAGES2k, the CESM Last Millennium Ensemble, and proxy system models. Poster.

2015

Joint Center of Satellite Data Assimilation Summer Colloquium, Fort Collins, CO, USA, 2015: Why Is It Theoretically Possible That An Improved Initial Condition Can Degrade the Forecast in Fraternal-twin OSSEs? Talk.

Research Experience

Lots of different topics.
Sep 2020 - Present

PReSto: A Paleoclimate Reconstruction Storehouse to Broaden Access and AccelerateScientific Inference

Research Assistant funded by National Oceanic and Atmospheric Administration (NOAA)

Los Angeles, CA, USA

Designing the architecture of the PReSto system. Porting the lightweight implementation of the Last MillenniumReanalysis (LMR) paleoclimate data assimilation framework (LMRt) to the system. Developing post-processingand visualization functionalities for the system.

Sep 2018 - Aug 2020

The Global Climate Response to Volcanic Eruptions in the Last Millennium Reanalysis

Research Assistant funded by National Oceanic and Atmospheric Administration (NOAA)

Los Angeles, CA, USA

Developing LMRt. Investigating the temperature and ENSO response to volcanism over the last millennium, andevaluating/resolving the differences between climate model simulations and proxy observations.

Sep 2016 - Aug 2018

PAGES2k Phase 2 Project

Fellowship funded by USC Dornsife College

Los Angeles, CA, USA

Developing the paleoclimate data analysis and visualization Python package, Pyleoclim, for PAGES2k phase 2 multiproxy database, including correlation analysis, spectral analysis, wavelet analysis, etc.

Sep 2013 - Jun 2014

Parameterization of Cloud Fraction over East Asian Monsoon Region

Research Assistant funded by National Natural Science Foundation of China (NSFC)

Beijing, China

Developing a new 2D Cloud Resolving Model (CRM). Embedding the 2D CRM into the meso-scale model GRAPES. Evaluating the impact of super-parameterization on cloud fraction simulation over East Asian Monsoon Region.

Sep 2012 - Jun 2013

The Development and Evaluation of Variation Scheme for Assimilating GPS Data

Research Assistant funded by National Natural Science Foundation of China (NSFC)

Beijing, China

Evaluating the impact of 3D-VAR assimilation of GPSPW data in the region of Tibetan Plateau on precipitation prediction in the area of Middle and Lower Reaches of Yangtze River.

Teaching Experience

"If you can't explain it simply, you don't understand it well enough."
Fall 2018

GEOL 150: Climate Change

Teaching Assistant funded by USC Dornsife College

Los Angeles, CA, USA

[15 students/session, 3 sessions/semester] Teaching lab sections for the course. Duties include mini-lectures, hands-on experiments demo, lab quiz design and grading, course discussion and exam grading, etc.

Spring 2018

GEOL 107: Oceanography

Teaching Assistant funded by USC Dornsife College

Los Angeles, CA, USA

[15 students/session, 3 sessions/semester] Teaching lab sections for the course. Duties include mini-lectures, hands-on experiments demo, lab quiz design and grading, course discussion and exam grading, etc.

Spring 2017

GEOL 150: Climate Change

Teaching Assistant funded by USC Dornsife College

Los Angeles, CA, USA

[20 students/session, 2 sessions/semester] Teaching lab sections for the course. Duties include mini-lectures, hands-on experiments demo, lab quiz design and grading, course discussion and exam grading, etc.

Internship Experience

Learn by doing.
Summer 2019

autoTS: Automated Machine Learning for Time Series Analysis

Summer Internship funded by Information Sciences Institute of USC

Los Angeles, CA, USA

Developing the fundamental codebase for efficient & automated timeseries analysis, providing expert curated rules, and designing unit tests.

Programming Skills

I am a semi-programmer!
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GNU/Linux

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git/GitHub

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Fortran

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C/C++

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Python

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R

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Matlab

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Mathematica

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NCL

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LaTeX

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Vim

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HTML/CSS