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Alexandra Jonko

Alexandra Jonko

Phone (505) 667-7832


  • Computational Physics and Applied Mathematics
  • Numerical modeling
  • Monte Carlo methods
  • Statistics
  • Uncertainty quantification
  • Earth and Space Sciences
  • Climate modeling
  • Computer and Computational Sciences
  • High performance computing
  • Information Science and Technology
  • Visualization
  • Earth and Space Sciences
  • Atmospheric Science
  • Meteorology


I am an Atmospheric scientist with an interest in studying interactions and feedbacks between wildfires and the changing climate. I am currently working with HIGRAD/FIRETEC on exploring the effects of complex topography on fire behavior, something that is not yet included in climate and Earth System models used to project wildfire behavior under climate change.

Past experience also includes:

  • Extensive experience working with climate model data archived as part of CMIP3 and CMIP5
  • Expertise using various climate feedback quantification methods
  • Building energy balance models of climate, and modifying and running more complex global climate models
  • Dabbling in Bayesian inference and uncertainty quantification


Ph.D., Atmospheric Science, Oregon State University,  Corvallis, OR, 2012

M.S./B.S., Meteorology, University of Bonn, Bonn, Germany, 2007


LANL Positions

Postdoc Research Associate, Computational Earth Science (EES-16), November 2016 - present

Postdoc Research Associate, Computational Physics and Methods (CCS-2), December 2014 - October 2016


Professional Societies

American Geophysical Union

Earth Science Women's Network



NASA Earth and Space Science Fellowship, 2009 - 2012 Oregon State University College of Earth, Ocean and Atmospheric Science Wayne V. Burt Award for Academic Excellence in Physical Oceanography and Atmospheric Science, 2011 German Academic Exchange Service (DAAD) Scholarship for thesis research abroad, 2006



See my google scholar profile for up-to-date information.

Jonko, A., N. Urban and B. Nadiga: Bayesian hierarchical inference of equilibrium climate sensitivity from a combinations of CMIP5 climate models and observational data. In prep.

Goosse, H., J. Kay, K. Armour, A. Bodas-Salcedo, H. Chefner, D. Docquier, A. Jonko, P. Kushner, O. Lecompte, F. Massonnet, H.-S. Park, F. Pithan, G. Svensson, V. Varma and M. Vancoppenolle: Beyond radiative feedbacks: a process-oriented perspective on climate feedbacks in polar regions. In prep for Bull. Am. Meteorol. Soc.

Jonko, A. and P. N. DiNezio: Climate Model Data Challenges: A Users’ Perspective. Submitted to Nature Climate Change.

Bennett, K.E., J.R. Urrego Blanco, A. Jonko, A. Atchley, T. Bohn, N.M. Urban and R. Middleton:  Global sensitivity analysis of large-scale simulated water balance indicators under future climate change climate in the Colorado Basin. Submitted to J. Geophys. Res.

Haut, T., C. Ahrens, A. Jonko, R. Lowrie and A. Till, 2017: A new multigroup method for cross-sections that vary rapidly in energy. J.Q.S.R.T, 178, 461-471.

Weijer, W., M. Veneziani, A. Stoessel, M.W. Hecht, N. Jeffrey, A. Jonko, T. Hodos and H. Wang, 2016: Local Atmospheric Response to an Open-Ocean Polynya in a High-Resolution Climate Model. J. Climate, DOI: http://dx.doi.org/10.1175/JCLI-D-16-0120.1

Good, P., B. Booth, R. Chadwick, Ed. Hawkins, A. Jonko and J.A. Lowe, 2016: Large differences in regional precipitation change between a first and second 2K of global warming. Nature Communications, DOI: 10.1038/ncomms13667

Jonko, A., 2015: Warming trends: Adapting to nonlinear change. Nature Climate Change, 5, 103-104.

Gordon, N.D., A. Jonko, P.M. Forster and K.M. Shell, 2013: An Observationally Based Constraint on the Water-Vapor Feedback. J. Geophys. Res., DOI: 10.1002/2013JD020184.

Jonko, A., K. M. Shell, B. M. Sanderson and G. Danabasoglu, 2013: Climate feedbacks in CCSM3 simulations with varying CO2 forcing. Part II: Variation of climate feedbacks and sensitivity with forcing. J. Climate, 26, 2784-2795.

Jonko, A., K. M. Shell, B. M. Sanderson and G. Danabasoglu, 2012: Climate feedbacks in CCSM3 simulations with varying CO2 forcing. Part I: Adapting the linear radiative kernel technique to feedback calculations under a broad range of forcings. J. Climate, 25, 5260-5272.

Jonko, A., A. Hense and J. J. Feddema, 2010: Effects of land cover change on the tropical circulation in a GCM. Clim. Dyn., 35, 635-649.


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