Vita

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

Education

MIT

Ph.D., 2017

Massachusetts Institute of Technology

Department of Earth, Atmospheric and Planetary Sciences

Advisors: Dr. Chien Wang and Professor Ron Prinn

Cornell

B.S., magna cum laude, 2010

Cornell University

Department of Earth and Atmospheric Sciences

Thesis Advisor: Professor Natalie Mahowald

Awards and Honors

AMS

Outstanding Student Presentation Award

American Meteorological Society, 2015

NSF

Graduate Research Fellowship

National Science Foundation, 2012

AMS

Father James B. Macelwane Award in Meteorology

American Meteorological Society, 2011

ASEE

National Defense Science and Engineering Fellowship

ASEE (declined), 2012

Teaching

  • Global Warming Science
    TA for MOOC covering the fundamentals of climate science, with an emphasis on understanding the physics driving anthropogenic global warming.
  • Atmospheric Physics and Chemistry
    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.
  • Object-Oriented Programming and Data Structures
    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/review

  1. Rothenberg, D.: Parameterization of sub-grid scale aerosol-cloud processes for climate models using auto-machine learning.
  2. Rothenberg, D., Selin, N., Solomon, S., Garcia-Menendez, F.: Quantifying the "time of emergence" of air quality climate penalties.
  3. Garimella, S., Rothenberg, D., Wolf, M. J., Zawadowicz, M. A., Froyd, K. D., Murphy, D. M., Wang., C., and Czizco, D. J.: A previously unrealized climate and health co-benefit from reduced coal fly ash emissions

Published

  1. Dimanchev, E. G., Paltesev, S., Yuan, M., Rothenberg, D., Tessum, C. W., Marshall, J. D., and Selin, N. E.: Health co-benefits of sub-national renewable energy policy in the US, Environ. Res. Lett. 14, 085012, doi:10.1088/1748-9326/ab31d9, 2019.
  2. Rothenberg, D., Wang, C., and Avramov, A.: On the representation of aerosol activation and its influence on model-derived estimates of the aerosol indirect effect, Atmos. Chem. Phys., doi:10.5194/acp-18-7961-2018, 2018.
  3. Jin, Q., Grandey, B. S., Rothenberg, D., Avramov, A., Wang, C.: Impacts of Ship Emission Regulations, DMS Emissions, and Aerosol Mixing States on Cloud Radiative Effects of International Shipping Emissions, Atmos. Chem. Phys., Discuss., doi:10.5194/acp-2018-416, 2018.
  4. Tong, C. H. M., Yim, S., Rothenberg, D., Wang, C., Lin, C-Y, Chen, Y., Lau, N-C: Projecting the impacts of atmospheric conditions under climate change on air quality over the Pearl River Delta region, Atmos. Envirom., doi:10.1016/j.atmosenv.2018.08.053, 2018.
  5. Grandey, B. S., Rothenberg, D., Avramov, A., Jin, Q., Lee, H., Wang, C.: Effective radiative forcing in the aerosol—climate model CAM5.3-MARC-ARG compared to default CAM5.3, Atmos. Chem. Phys., 18, 15783-15810, doi:10.5194/acp-18-15783-2018, 2018.
  6. Rothenberg, Daniel and Chien Wang: An aerosol activation metamodel of v1.2.0 of the pyrcel cloud parcel model: development and offline assessment for use in an aerosol–climate model, Geosci. Model Dev., doi:10.5194/gmd-10-1817-2017, 2017.
  7. 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.
  8. 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
  9. 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.
  10. 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.
  11. 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.

Talks

  1. Rothenberg, Daniel. Rapidly Prototyping High-performance Meteorological Data Systems Using Xarray and Numba. Ninth Symposium on Advances in Modeling and Analysis Using Python, AMS Annual Meeting. Phoenix, AZ, 2019.
  2. Rothenberg, D., Wang, C., and Avramov, A. Contributions of Uncertainty in Droplet Nucleation to the Indirect Effect in Global Models. AGU Fall Meeting. San Francisco, 2016. | PPTX
  3. 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
  4. 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
  5. 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
  6. 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

Other

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