Air-Sea Fluxes

With colleagues during my postdoc at Lamont-Doherty Earth Observatory in Columbia University, I looked at the effect of spatial resolution on air-sea heat fluxes in global climate models. We have worked collaboratively throughout the project, and co-developed a software package called aerobulk-python that is a Python wrapper for existing Fortran code to carry out the highly complicated air-sea flux bulk formulae used in climate models. The paper is currently in prep, and I will add more details soon!

Energy and Temperature Variance Budgets

During my PhD and Postdoc, I used a novel Fourier analysis technique to compute energy and temperature variance budgets in the ocean, using climate model data. I worked with both idealized and realistic coupled, ocean-atmosphere models, and traced the root mechanisms driving both energy and temperature variance budgets. In both cases, I used open-source, Python code for my analysis, and used both HPC and Cloud computing platforms.


Arbic, B.K., S. Elipot, J.M. Brasch, D. Menemenlis, A.L. Ponte, J.F. Shriver, X. Yu, E.D. Zaron, M.H. Alford, M.C. Buijsman, R. Abernathey, D. Garcia, L. Guan, P.E. Martin, and A.D. Nelson (2022), Near-surface oceanic kinetic energy distributions from drifter observations and numerical models, Journal of Geophysical Research: Oceans, 127, e2022JC018551.

Light, C.X., Arbic, B.K., Martin, P.E. et al. (2022) Effects of grid spacing on high-frequency precipitation variance in coupled high-resolution global ocean-atmosphere models, Climate Dynamics.

Loose, N., Abernathey, R., Grooms, I., Busecke, J., Guillaumin, A.P., Yankovsky, E., Marques, G., Steinberg, J.M., Ross, A.S., Khatri, H., Bachman, S.D., Zanna, L., Martin, P. (2022). GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data, Journal of Open Source Software.

Martin, P. E., Arbic, B. K., & Hogg, A. M. (2021). Drivers of Atmospheric and Oceanic Surface Temperature Variance: A Frequency Domain Approach, Journal of Climate, 34(10), 3975-3990.

Nyadjro, E.S., Arbic, B.K., Buckingham, C.E., Martin, P.E. et al. (2021) Enhancing Satellite Oceanography-Driven Research in West Africa: a Case Study of Capacity Development in an Underserved Region, Remote Sens Earth Syst Sci.

Martin, P. E., Arbic, B. K., McC. Hogg, A., Kiss, A. E., Munroe, J. R., & Blundell, J. R. (2020). Frequency-Domain Analysis of the Energy Budget in an Idealized Coupled Ocean–Atmosphere Model, Journal of Climate, 33(2), 707-726.

Stolbova, V., Martin, P., Bookhagen, B., Marwan, N., and Kurths, J. (2014). Topology and seasonal evolution of the network of extreme precipitation over the Indian subcontinent and Sri Lanka, Nonlin. Processes Geophys., 21, 901–917.

Martin, P., 2014: A Study of Heat Transport and the Runaway Greenhouse Effect using an Idealized Model, Proceedings of the 2014 Summer Program in Geophysical Fluid Dynamics, Woods Hole, MA, Woods Hole Oceanographic Institute