Name: Mark Taylor
Pronouns: he/him/his
Biography:
Mark Taylor specializes in numerical methods for parallel computing and atmospheric flows. He currently serves as Chief Computational Scientist for the DOE’s Energy Exascale Earth System Model (E3SM) project. He led the development of the spectral element based dynamical core used in E3SM’s atmospheric model. Mark received his Ph.D. from New York University’s Courant Institute of Mathematical Sciences in 1992. He joined Sandia National Laboratories in 2004 and was promoted to Distinguished Member of the Technical Staff in 2018. In 2014 he was awarded (with Drs. David Bader and William Collins) The Secretary of Energy Achievement Award for his work unifying the Department of Energy’s climate modeling research community, enabling the development of high-resolution fully-coupled climate-system simulations. He is currently a member of the Community Earth System Model’s Scientific Steering Committee.
Institution/Lab: Sandia National Laboratories
Website: https://www.sandia.gov/ccr/staff/mark-alan-taylor/
SRP Collaboration Topic/Title: visualization for atmospheric simulation output
Field or research area: Atmospheric science, Computational science, Applied Mathematics
Please select all the topical areas that apply to your project:
Computational Science Applications (i.e., bioscience, cosmology, chemistry, environmental science, nanotechnology, climate, etc.); Data Science (i.e., data analytics, data management & storage systems, visualization)
Brief Abstract:
Produce visualizations from high resolution E3SM global climate simulations. Using python and matplotlib and large E3SM 3km global atmosphere data sets, Find interesting phenomena in the data sets, such as tropical cyclones, atmospheric rivers and mesoscale cloud systems. Plot various fields such as total water content, precipitation rate, cloud reflectivity, superimposed on images of the earth showing oceans and land masks. Generate high resolution publication quality images and animations suitable for use in journal articles, presentations and E3SM publicity.
Desired relevant skills, background, or interests:
Some programming experience in a high level language (python, matlab), linear algebra or numerical linear algebra, interest in linux command line work. Interest in learning python-based visualization libraries (matplotlib, holoviz)
Other comments:
Do any special requirements apply? Permanent Resident OK
Other, specify:
Keywords:
python; linear algebra; computer graphics; visualization; climate modeling; atmospheric modeling
Lightning Talk Title: Cloud resolving atmospheric modeling