2020
DOI: 10.1002/essoar.10504012.1
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Configuration and validation of an oceanic physical and biogeochemical model to investigate coastal eutrophication: case study in the Southern California Bight

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Cited by 6 publications
(12 citation statements)
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“…Thus, ANTH largely simulates the effects of nutrient and carbon enrichment of the SCB caused by human activities. The model is validated against in situ physical and biogeochemical observations from the Bight monitoring program, CalCOFI, and other data sources, including satellite observations (26). This validation shows an excellent agreement of the ANTH simulation with observations of nutrients, O2, carbon, phytoplankton, and their dynamics.…”
Section: Significancementioning
confidence: 83%
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“…Thus, ANTH largely simulates the effects of nutrient and carbon enrichment of the SCB caused by human activities. The model is validated against in situ physical and biogeochemical observations from the Bight monitoring program, CalCOFI, and other data sources, including satellite observations (26). This validation shows an excellent agreement of the ANTH simulation with observations of nutrients, O2, carbon, phytoplankton, and their dynamics.…”
Section: Significancementioning
confidence: 83%
“…5. The model is validated against a comprehensive database of physical and biogeochemical observations (65) from the SCB and provides a realistic representation of physical and biogeochemical cycles in the SCB (26). The model code is available at 10.5281/zenodo.3988618 (66), the in situ data used for model validation at 10.5281/zenodo.3988574 (67), and local land-based and atmospheric nutrient input data at 10.5281/zenodo.4448224 (64).…”
Section: Methodsmentioning
confidence: 99%
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“…The value of such observations extends beyond the testing of the hypothesis that wastewater plumes affect water column biogeochemical parameters (pH, DO, chlorophyll a) and rates of nutrient and carbon cycling. To support California's climate action strategies, a spatially explicit, 3-dimensional numerical ocean model of the SCB was developed and is being applied to examine the relative effects of climate change, natural climate cycles, and local terrestrial and atmospheric carbon and nutrient inputs (Kessouri et al, 2020;Deutsch et al, 2021). However, in order to support conversations on the utility of nutrient management as a climate change mitigation strategy, such models must be validated carefully against observations of biogeochemical state and rate data.…”
Section: Introductionmentioning
confidence: 99%