Seasonal dynamics of dissolved organic matter in the Mackenzie Delta, Canadian Arctic waters: Implications for ocean colour remote sensing

Juhls, Bennet; Matsuoka, Atsushi; Lizotte, Martine; Bécu, Guislain; Overduin, Pier Paul; Kassar, Jan El; Devred, Émmanuel; Doxaran, David; Ferland, Joannie; Forget, Marie-Helene; Hilborn, Andrea; Hieronymi, Martin; Leymarie, Édouard; Maury, J.; Oziel, Laurent; Tisserand, L.; Anikina, D.O.J.; Dillon, M.; Babin, Marcel

doi:10.1016/j.rse.2022.113327

Cited by 18 publications

(16 citation statements)

References 73 publications

(132 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since, to our best knowledge, no radiometric data from the Lena River water are available, a direct radiometric validation is not possible. However, in previous studies on satellite-retrieved DOC, Polymer showed a good performance and demonstrated a high robustness for Arctic waters impacted by riverine fluxes (Juhls et al, 2022). This is in line with findings by König et al (2019) that even in very high latitudes with sun zenith angles of >60°, surrounded by ice potentially causing adjacency effects, Polymer performs best and produces reasonable results even in the high contrast Arctic sea ice.…”

Section: Atmospheric Correctionsupporting

confidence: 84%

“…Thanks to the robust relationship between CDOM absorption (a CDOM (l)) and DOC concentration (e.g., Matsuoka et al, 2017;Juhls et al, 2019), satellite-derived a CDOM (l) can be used to derive DOC concentrations. While there are a number of studies using remote sensing to estimate surface water DOC concentrations in Arctic coastal and shelf waters (Fichot et al, 2016;Matsuoka et al, 2017;Juhls et al, 2019;Soppa et al, 2019;Lewis & Arrigo, 2020;Juhls et al, 2022), only a few studies show the potential of using satellite data for the retrieval of a CDOM (l) and DOC in Arctic rivers (Griffin et al, 2011;Herrault et al, 2016;Griffin et al, 2018;Huang et al, 2019). These studies make use of high resolution satellite sensors such as SPOT5, Landsat TM, ETM+ and OLI or Sentinel-2 MSI.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optical remote sensing (Sentinel-3 OLCI) used to monitor dissolved organic carbon in the Lena River, Russia

et al. 2023

View full text Add to dashboard Cite

In the past decades the Arctic has experienced stronger temperature increases than any other region globally. Shifts in hydrological regimes and accelerated permafrost thawing have been observed and are likely to increase mobilization of organic carbon and its transport through rivers into the Arctic Ocean. In order to better quantify changes to the carbon cycle, Arctic rivers such as the Lena River in Siberia need to be monitored closely. Since 2018, a sampling program provides frequent in situ observations of dissolved organic carbon (DOC) and colored dissolved organic matter (CDOM) of the Lena River. Here, we utilize this ground truth dataset and aim to test the potential of frequent satellite observations to spatially and temporally complement and expand these observations. We explored all available overpasses (~3250) of the Ocean and Land Colour Instrument (OLCI) on Sentinel-3 within the ice-free periods (May – October) for four years (2018 to 2021) to develop a new retrieval scheme to derive concentrations of DOC. OLCI observations with a spatial resolution of ~300 m were corrected for atmospheric effects using the Polymer algorithm. The results of this study show that using this new retrieval, remotely sensed DOC concentrations agree well with in situ DOC concentrations (MAPD=10.89%, RMSE=1.55 mg L−1, r²=0.92, n=489). The high revisit frequency and wide swath of OLCI allow it to capture the entire range of DOC concentrations and their seasonal variability. Estimated satellite-derived DOC export fluxes integrated over the ice-free periods of 2018 to 2021 show a high interannual variability and agree well with flux estimates from in situ data (RMSD=0.186 Tg C, MAPD=4.05%). In addition, 10-day OLCI composites covering the entire Lena River catchment revealed increasing DOC concentration and local sources of DOC along the Lena from south to north. We conclude that moderate resolution satellite imagers such as OLCI are very capable of observing DOC concentrations in large/wide rivers such as the Lena River despite the relatively coarse spatial resolution. The global coverage of remote sensing offers the expansion to more rivers in order to improve our understanding of the land-ocean carbon fluxes in a changing climate.

show abstract

Section: Atmospheric Correctionsupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Optical remote sensing (Sentinel-3 OLCI) used to monitor dissolved organic carbon in the Lena River, Russia

et al. 2023

View full text Add to dashboard Cite

show abstract

“…This study provides information about the interrelationships between absorption and backscatter by organic material in optically complex coastal waters, which may be valuable for improving quasi‐analytical and inverse remote sensing algorithms for estimating quantities and qualities of organic matter in these waters. Current remote sensing approaches for assessing POC (Lee et al., 2002; Loisel & Stramski, 2000; Maritorena et al., 2002) and DOC (Mannino et al., 2008), including those developed for use in Arctic waters (Juhls et al., 2022; Matsuoka et al., 2013), can potentially benefit from such in situ observations along the coastal Arctic, to improve calibration and validation of ocean color algorithms for nearshore regions and especially regions that are adjacent to the smaller, less well studied Arctic rivers like the Sagavanirktok and Kuparuk that feed Stefansson Sound.…”

Section: Discussionmentioning

confidence: 99%

Optical Insight Into Riverine Influences on Dissolved and Particulate Organic Carbon in a Coastal Arctic Lagoon System

et al. 2023

View full text Add to dashboard Cite

Arctic coastal margins receive organic material input from rivers, melted sea ice, and coastal erosion, phenomena that are all undergoing changes related to global climate. The optical properties of coastal Arctic waters contain information on this organic material, and we examined three optical properties of seawater (absorption, backscatter, and fluorescence) for their relationships to variability in dissolved and particulate organic carbon (DOC and POC) in Stefansson Sound, Alaska, a coastal Arctic embayment. During open water periods in 2018 and 2019, DOC was inversely correlated with salinity (r2 = 0.97) and positively correlated with dissolved organic matter fluorescence (fDOM; r2 = 0.67). DOC showed strong correlation with the nonparticulate absorption coefficient at 440 nm (ag(440)) only in 2018 (r2 = 0.95). The vertical structure of fDOM in Stefansson Sound aligned with density profiles more strongly in 2018 than in 2019, and higher levels of fDOM, ag(440), and backscatter seen near the bottom in 2019 suggest wind‐driven mixing and/or bottom resuspension events. In both years, DOC correlated strongly with the spectral slope of the absorption coefficient between 412 and 550 nm (r2 = 0.70), and POC was well correlated with spectral backscattering at 470, 532, and 660 nm (r2 = 0.90, 0.71, and 0.59). These interannual differences in the spatial and vertical distributions of DOC and POC, and their respective correlations with optical proxies, likely reflect regional climatological factors such as precipitation over the adjacent watersheds, wind patterns, and residual sea ice in late summer.

show abstract

“…A major challenge in oceanic carbon monitoring has been the development of methods targeting the dissolved carbon pools ((DOC) and DIC) because they have limited or no impact on ocean color. Chromophoric dissolved organic matter (CDOM) is a subset of the DOC pool, and as it is colored it can be used as a proxy for DOC estimation (Mannino et al 2014, Cao et al 2018, Juhls et al 2022. Robust relations between DOC concentration and CDOM absorption (both as a function of depth or when isolated by an ocean basin) have eluded researchers (Nelson et al 2010, Nelson andSiegel 2013).…”

Section: Ocean Carbon Monitoring Challengesmentioning

confidence: 99%

Assessment of the NASA carbon monitoring system wet carbon stakeholder community: data needs, gaps, and opportunities

Brown

Mitchell

Halabisky

et al. 2023

Environ. Res. Lett.

View full text Add to dashboard Cite

Wet carbon ecosystems are a critical part of the carbon cycle, yet they are underrepresented in many policy and science communities due to the relative under-investment in stakeholder and boundary organizations. Wet carbon systems include the hydrosphere and carbon cycling systems that operate in wetlands, oceans, rivers, streams, lakes, ponds, and permafrost. In this article, we provide evidence from a desk review of wet carbon stakeholders, that includes individuals, groups or organizations that are affected by climate change, and utilize carbon data. These stakeholders are involved in decision-making processes in wet carbon ecosystems, and can be private companies, non-governmental organizations, government agencies ranging in scope from local to federal, parastatals, international organizations, and more. In this paper, we identify and describe the links and interests of wet carbon stakeholders and analyze the gaps between scientific understanding and information needs. A continued focus on wet carbon systems could lead to increased stakeholder engagement and methodological and scientific progress. Our study revealed that stakeholder interest in wet carbon systems was not primarily determined by its role in the carbon cycle, but rather by its significance for local policy, economics, or ecology. To bridge the gap between stakeholders and available wet carbon data, we need improved communication of data availability and uncertainty, capacity building, engagement between stakeholder groups, and data continuity. Enhanced stakeholder engagement across various systems will facilitate greater utilization of carbon monitoring data derived from remote sensing; thereby creating more informed stakeholders as well as more effective decision-making processes.

show abstract

Seasonal dynamics of dissolved organic matter in the Mackenzie Delta, Canadian Arctic waters: Implications for ocean colour remote sensing

Cited by 18 publications

References 73 publications

Optical remote sensing (Sentinel-3 OLCI) used to monitor dissolved organic carbon in the Lena River, Russia

Optical remote sensing (Sentinel-3 OLCI) used to monitor dissolved organic carbon in the Lena River, Russia

Optical Insight Into Riverine Influences on Dissolved and Particulate Organic Carbon in a Coastal Arctic Lagoon System

Assessment of the NASA carbon monitoring system wet carbon stakeholder community: data needs, gaps, and opportunities

Contact Info

Product

Resources

About