Dissertations and Theses

Date of Award

2023

Document Type

Thesis

Department

Earth and Atmospheric Sciences

First Advisor

Maria Tzortziou

Second Advisor

Nir Krakauer

Third Advisor

Karin Block

Keywords

biogeochemistry, remote sensing, modeling, coastal waters

Abstract

The Arctic region, undergoing significant environmental changes due to rapid warming, faces alterations in air temperatures, melting permafrost, declining sea ice, and changes in riverine inputs. These shifts have profound implications for Arctic coastal ecology and biogeochemical cycles. This study, focusing on Alaska's North Slope, explores the influence of freshwater fluxes on water optical properties, vital for accurate satellite remote sensing interpretations. Our approach combined field measurements, existing data, and satellite remote sensing retrievals to identify biogeochemical gradients and their seasonal and interannual variations. A novel finding was the unique CDOM composition in Prudhoe Bay, characterized by a lower molecular weight of organic matter, potentially due to high primary production or low terrestrial inputs. Seasonal influences on chlorophyll-a concentrations and primary productivity were identified, driven by changes in light availability and nutrient supply due to sea ice coverage. While the coefficient of determination (R^2) between the MDN and Level-2 chlorophyll-a data were both found to be low compared to the observed data, the utilization of weights in a Taylor diagram analysis provided more nuanced insights. By considering the influence of river distance and discharge in the weighted calculations, the analysis revealed distinct characteristics of the two algorithms. Specifically, the Level-2 chlorophyll algorithm exhibited a stronger relationship with the observed data but was less accurate in its estimates. In contrast, the MDN-trained chlorophyll algorithm demonstrated more accurate predictions but had a weaker relationship with the observed data. This approach underscores the importance of considering weighted metrics in evaluating the performance of different algorithms, offering a more comprehensive understanding of their behavior in relation to observed data. Our nine-year comprehensive study emphasizes the complex relationship between environmental factors and chlorophyll-a concentrations, with the nuanced differences between the two algorithms highlighting the need for considering multiple metrics in evaluating their performance. The findings of this study contribute to our understanding of the Arctic marine ecosystem's response to environmental changes, particularly the role of sea ice and river discharge in shaping primary productivity. The insights gained underscore the need for sustained monitoring and research, especially for effective management and conservation of fragile Arctic ecosystems amid ongoing climate change

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