2020
DOI: 10.3390/data5040097
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An Eddy Covariance Mesonet For Measuring Greenhouse Gas Fluxes in Coastal South Carolina

Abstract: Coastal ecosystems are vulnerable to climate change and have been identified as sources of uncertainty in the global carbon budget. Here we introduce a recently established mesonet of eddy covariance towers in South Carolina and describe the sensor arrays and data workflow used to produce three site-years of flux observations in coastal ecosystems. The tower sites represent tidal salt marsh (US-HB1), mature longleaf pine forest (US-HB2), and longleaf pine restoration (replanted clearcut; US-HB3). Coastal ecosy… Show more

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Cited by 6 publications
(3 citation statements)
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“…For US-Ha1, extension of the NEE landscape would involve additional EC platforms to fill gaps across the selected area (e.g., 16,500 ha), utilize select remote sensing data and employ models to integrate the data. EC network data fused with remote sensing and diverse models are well described including, for example, FLUXCOM [57,65], and subregional networks [88][89][90][91][92]. An encouraging result has been found in the Howland Forest EC site (US-Ho1), where annual mean NEE fluxes between co-located towers were found to be within 5% of each other [93].…”
Section: Discussionmentioning
confidence: 88%
“…For US-Ha1, extension of the NEE landscape would involve additional EC platforms to fill gaps across the selected area (e.g., 16,500 ha), utilize select remote sensing data and employ models to integrate the data. EC network data fused with remote sensing and diverse models are well described including, for example, FLUXCOM [57,65], and subregional networks [88][89][90][91][92]. An encouraging result has been found in the Howland Forest EC site (US-Ho1), where annual mean NEE fluxes between co-located towers were found to be within 5% of each other [93].…”
Section: Discussionmentioning
confidence: 88%
“…However, NEE research methods clearly require technological development and cost reduction to accommodate commercial projects including scale-up of NEE data from the NEE footprint to larger areas, controlling for lateral flux leakage, and accounting for the uncertainties of NEE CO2 flux data. The limitations cited are under active development by the forest research and management communities worldwide [19], [60], [61]. A1.)…”
Section: Table 1 Comparison Of Cfcp Features (Annotations Provided In Appendix 1)mentioning
confidence: 99%
“…However, NEE research methods clearly require technological development and cost reduction to accommodate commercial projects including scale-up of NEE data from the NEE footprint to larger areas, controlling for lateral flux leakage, and accounting for the uncertainties of NEE CO2 flux data. The limitations cited are under active development by the forest research and management communities worldwide [25], [95], [96]. A1.)…”
Section: Comparative Analysis Of Cfcp Features (Annotations Provided In Appendix 1)mentioning
confidence: 99%