Chris Osburn

Bio

Chris uses geospatial analytics to investigate how land use and extreme weather events affect the biogeochemistry of coastal waters. He develops algorithms and modeling approaches to relate the chemistry of natural waters to their optical properties to study fluxes and cycling of carbon and nutrients between the land and ocean through rivers and estuaries. Other interests include investigating the influence of land use and global change on carbon cycles in lakes.

Publications

• A Pan-Arctic Algorithm to Estimate Dissolved Organic Carbon Concentrations From Colored Dissolved Organic Matter Spectral Absorption , GEOPHYSICAL RESEARCH LETTERS (2023)
• Lignin phenol quantification from machine learning-assisted decomposition of liquid chromatography-absorbance spectroscopy data , LIMNOLOGY AND OCEANOGRAPHY-METHODS (2023)
• Recent increases of rainfall and flooding from tropical cyclones (TCs) in North Carolina (USA): implications for organic matter and nutrient cycling in coastal watersheds , BIOGEOCHEMISTRY (2023)
• Routine Estimation of Dissolved Organic Matter Sources Using Fluorescence Data and Linear Least Squares , ACS ES&T WATER (2023)
• Accumulation of recalcitrant dissolved organic matter in aerobic aquatic systems , LIMNOLOGY AND OCEANOGRAPHY LETTERS (2022)
• Improving lignin quantification and characterization in seawater using spectral liquid chromatography and PARAFAC2 , (2022)
• Simulated response of St. Joseph Bay, Florida, seagrass meadows and their belowground carbon to anthropogenic and climate impacts , MARINE ENVIRONMENTAL RESEARCH (2022)
• Temporal Stability of Seagrass Extent, Leaf Area, and Carbon Storage in St. Joseph Bay, Florida: a Semi-automated Remote Sensing Analysis , ESTUARIES AND COASTS (2022)
• A pan-Arctic algorithm for DOC concentrations from CDOM spectra , (2021)
• Calcification-driven CO2 emissions exceed "Blue Carbon" sequestration in a carbonate seagrass meadow , SCIENCE ADVANCES (2021)