This summer, my research was focused on trying to better understand our oceans by analyzing various metrics such as phytoplankton biomass, salinity, and several different nutrients. Phytoplankton are critical to our global climate as they account for nearly 50% of the total photosynthesis on Earth. My research aims to explore their relationship with our changing climate. Using computational analyses (Python) of global climate data, I have been working on a variety of projects involving Coupled Model  Intercomparison Project Phase 6 (CMIP6) data from various climate models. For one such project, I am analyzing differences in present (1991-2010) ocean data and future (2081-2100) climate projections at three locations: ocean station PAPA (45-50N, 140-150W) , NABE (45-50N, 25-35W), and one other Atlantic ocean site (45-50N, 13-18W). I chose these sites because they are where NASA’s EXPORTS projects are focused (https://oceanexports.org/). By doing this we are able to analyze trends in the seasonal cycle of twelve different variables (biomass, chlorophyll, diatoms, zooplankton, primary production, export production at 100m, air-sea CO2 flux, SpCO2, iron, nitrate, silica, and sea surface temperature). One variable of particular interest to our research group is SpCO2 (surface aqueous partial pressure of carbon dioxide). The next component of my project was to create plots of this variable and its temperature and non-temperature dependent components. This allowed me to study how biology and temperature affect SpCO2 throughout the year. By comparing the CMIP6 models to observational data from Fay et al.’s, “SeaFlux: harmonization of air–sea CO2 fluxes from surface pCO2 data products using a standardized approach,” SpCO2 product and World Ocean Atlas temperature data, I was able to assess the reliability of these models. These projects among many others this summer helped us better understand how our oceans are continuing to change.