A PyTorch implementation of the Multi-Mode CNN to reconstruct Chlorophyll-a time series in the global ocean from oceanic and atmospheric physical drivers

Research Derby project to study the connection between MJO, chlorophyll-a, and SST

Monitoring water quality in the Santa Monica Bay using Landsat 8 OLI satellite data.

This is a paleolimnological analysis using tidypaleo in R. View the Github page to walk through each step of the analysis.

We have created a few Jupyter Notebooks to use NASA PACE data featuring GeoSpatial's HyperCoast software used to download, view and process the PACE data.

Analysis and visualization of water monitoring data collected at VCU's Rice River Center. The script models chlorophyll A concentrations as function of different temperature-based ratios (e.g., temp:discharge) using OLS linear regression, as well as one nonlinear model. Work done in support of Dr. Paul Bukaveckas' lab at VCU.