Abbreviated curriculum vitæ; an updated professional copy can be found here.



Ph.D., 2016 (Exp.)

Massachusetts Institute of Technology

Department of Earth, Atmospheric and Planetary Sciences

Advisors: Dr. Chien Wang and Professor Ron Prinn


B.S., magna cum laude, 2010

Cornell University

Department of Earth and Atmospheric Sciences

Thesis Advisor: Professor Natalie Mahowald

Awards and Honors


Outstanding Student Presentation Award

American Meteorological Society, 2015


Graduate Research Fellowship

National Science Foundation, 2012


Father James B. Macelwane Award in Meteorology

American Meteorological Society, 2011


National Defense Science and Engineering Fellowship

ASEE (declined), 2012


  • TA for MOOC covering the fundamentals of climate science, with an emphasis on understanding the physics driving anthropogenic global warming.
  • TA for MIT EAPS/Chemical Engineering course focused on the application of modeling in atmospheric chemistry. Students are exposed to techniques applied in the field, including process modeling and inverse modeling for state estimation. As a TA I authored problem sets on these topics and gave lectures on modeling aerosol physics and processes.
  • Climate Change Science
    Lectured on climate science/physics for annual MIT IAP programming sponsored by the Joint Program on the Science and Policy of Global Change.
  • Course Consultant and TA for course in Cornell's Computer Science department aimed at introducing students to OO concepts and techniques, as well as algorithmic analysis and data structures.

Highlighted Publications and Talks

In prep

  1. Rothenberg, Daniel and Chien Wang: Development and Evaluation of ametamodel for droplet activation in a mixing-state-resolving coupled aerosol-climate model.
  2. Rothenberg, D., Wang, C., and Avramov, A.: Impact of activation parameterizations on aerosol-cloud interactions in a global climate model.


  1. Garimella, S., Kristensen, T. B., Ignatius, K., Welti, A., Voigtländer, J., Kulkarni, G. R., Sagan, F., Kok, G. L., Dorsey, J., Nichman, L., Rothenberg, D., Rösch, M., Kirchgäßner, A., Ladkin, R., Wex, H., Wilson, T. W., Ladino, L. A., Abbatt, J. P. D., Stetzer, O., Lohmann, U., Stratmann, F., and Cziczo, D. J.: The SPectrometer for Ice Nuclei (SPIN): An instrument to investigate ice nucleation Atmos. Meas. Tech, doi:10.5194/amt-9-2781-2016, 2016.
  2. Rothenberg, Daniel and Chien Wang: Metamodeling of Droplet Activation for Global Climate Models, J. Atmos. Sci., 73, 1255–1272. doi:10.1175/JAS-D-15-0223.1, 2016
  3. Rothenberg, D., Mahowald, N., Lindsay, K., Doney, S. C., Moore, J. K., and Thornton, P.: Volcano impacts on climate and biogeochemistry in a coupled carbon–climate model, Earth Syst. Dynam., 3, 121-136, doi:10.5194/esd-3-121-2012, 2012.
  4. Mahowald, N., Lindsay, K., Rothenberg, D., Doney, S. C., Moore, J. K., Thornton, P., Randerson, J. T., and Jones, C. D.: Desert dust and anthropogenic aerosol interactions in the Community Climate System Model coupled-carbon-climate model, Biogeosciences, 8, 387-414, doi:10.5194/bg-8-387-2011, 2011.
  5. Mahowald, N. M., Kloster, S., Engelstaedter, S., Moore, J. K., Mukhopadhyay, S., McConnell, J. R., Albani, S., Doney, S. C., Bhattacharya, A., Curran, M. A. J., Flanner, M. G., Hoffman, F. M., Lawrence, D. M., Lindsay, K., Mayewski, P. A., Neff, J., Rothenberg, D., Thomas, E., Thornton, P. E., and Zender, C. S.: Observed 20th century desert dust variability: impact on climate and biogeochemistry, Atmos. Chem. Phys., 10, 10875-10893, doi:10.5194/acp-10-10875-2010, 2010.


  1. Rothenberg, D.M, Avramov, A., Wang, C., Garimella, S., Wolf, M., and Cziczo, D. Understanding Fundamental Aerosol-Cloud Interactions and their Contributions to the Aerosol Indirect Effect. NOAA Geophysical Fluid Dynamics Laboratory. Princeton, NJ. 2016
  2. Rothenberg, Daniel. A Python-based Parcel Model Framework for Studying Aerosol-Cloud Processes. Sixth Symposium on Advances in Modeling and Analysis Using Python. New Orleans, 2016. | PDF
  3. Rothenberg, Daniel, Chien Wang and Alexander Avramov. Evaluating Advanced Aerosol Activation Treatments in a Coupled Climate/Mixing-State Resolving Aerosol Model. 95th Annual Meeting of the American Meteorological Society, 7th Symposium on Aerosol-Cloud-Climate Interactions. Phoenix, AX. 2015. | PDF
  4. Rothenberg, Daniel and Nick Barnes. Lessons From Deploying the USHCN Pairwise Homogenization Algorithm in Python. 92nd Annual Meeting of the American Meteorological Society, Second Symposium on Advances in Modeling and Analysis Using Python. New Orleans, LA. 2012


  1. "Seeing through the Haze of Clouds and Climate", Down to Earth blog, Physics Today, 2016