Climate & Ocean Physics

Understanding, Modelling & Predicting

Recent Posts

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Ocean Transport & Eddy Energy funded by NSF and NOAA


New Awards and Fellowships


Ocean Heat Content and Thermosteric Sea Level Update: 1870-2018


Dan Jones interviewed me for his podcast Climate Scientists


led by PhD student Tom Bolton


Recent Publications

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Bold = Student or postdoc in the Climate & Ocean Physics Group

(2019). Assessing external and internal sources of Atlantic Multidecadal Variability using models, proxy data and early instrumental indices. J. of Climate, 32(22), 7727-7745, doi:10.1175/JCLI-D-19-0177.1.

PDF Project

(2019). Global reconstruction of historical ocean heat storage and transport. Proc. Natl. Acad. Sci., 116 (4) 1126-1131, 10.1073/pnas.1808838115.

PDF Project Slides PDF Supp Material Press PNAS Global OHC data Notes and links for updated dataset 1870-2018

(2019). Ocean Obs' 2019: Towards comprehensive observing and modeling systems for monitoring and predicting regional to coastal sea level. Frontiers in Marine Science, 6, 437, doi:10.3389/fmars.2019.00437.

PDF Project


Alex Todd

postdoc, UK-FAFMIP project


Former Group Members

Arthur Guillaumin

Ocean Turbulence and Machine Learning

Emily Newsom

Postdoc, TICTOC

Mike Byrne

Marie Curie Fellow


Postdoc, CPT Ocean Eddies

Tom Bolton

PhD Student


In Spring 2020, I will teach:

– for undergraduate students: Fundamental Dynamics of Earth’s Atmosphere and Climate (Math-UA 228). Mondays, Wednesdays 9:30-10:45AM, in CIWW 312.

– for graduate students, an Advanced Topics course: Machine Learning in Atmosphere, Ocean and Climate Science (MATH-GA.3011-001). Mondays, 1:25-3:15PM, in CIWW 517.


I am looking for students (undergrad or grad) and postdocs to join our group, including through course projects, and internships. If you are interested, contact me at, after reading about our research interests and possible opportunities.

PhD students: I am accepting applications through the NYU CAOS graduate program, Applied Math program, and the Center for Data Science.

Postdocs Opportunities:

  • Machine Learning for Climate, apply here. The topic of research is flexible as long as you combine machine learning tools with climate dynamics problems (prediction, parametrization, inference). Note that only applications submitted in full via Interfolio will be considered.

  • Ocean Transport and eddy energy (Climate Process Team), apply here. There are 3 other positions available at WHOI, CU Boulder and, Princeton. The NYU postdoc will work on 1) unifying eddy closures of buoyancy, momentum and energy; and 2) understanding and parametrizing the vertical eddy energy structure.

  • I am also accepting applicants for the following postdoc fellowships: James S. McDonnell, NSF Atmospheric and Geospace Sciences, NSF Earth Sciences, NOAA Climate & Global Change, NYU Courant instructors.