14 Sep 2022
14 Sep 2022
Status: this preprint is currently under review for the journal ESSD.

Water masses distribution in the Canadian Arctic Archipelago: Implementation of the Optimal MultiParameter analysis (OMP)

Alessandra D'Angelo1, Cynthia Garcia-Eidell2, Christopher Knowlton3, Andrea Gingras1, Holly Morin3, Dwight Coleman3, Jessica Kaelblein3, Humair Raziuddin2, Nikolas VanKeersbilck4, Tristan J. Rivera5, Krystian Kopka6, Yoana Boleaga6, Korenna Estes7, Andrea Nodal8, Ericka Schulze5, Theressa Ewa2, Mirella Shaban5, Samira Umar2, Rosanyely Santana9, Jacob Strock1, Erich Gruebel3, Michael Digilio6, Rick Ludkin10, Donglai Gong11, Zak Kerrigan1, Mia Otokiak12, Frances Crable2, Nicole Trenholm13, Triston Millstone14, Kevin Montenegro9, Melvin Kim14, Gibson Porter12, Tomer Ketter15, Max Berkelhammer2, Andrew L. King16, Miguel Angel Gonzalez-Meler2, and Brice Loose1 Alessandra D'Angelo et al.
  • 1University of Rhode Island, Graduate School of Oceanography, Narragansett, RI 02882, USA
  • 2University of Illinois at Chicago, Chicago, IL 60607, USA
  • 3Inner Space Center, University of Rhode Island Graduate School of Oceanography, Narragansett, RI 02882, USA
  • 4The University of Iceland at Reykjavik, 102 Reykjavík, Iceland
  • 5Virginia Commonwealth University, Richmond, VA 23284, USA
  • 6City University of New York, City College, NY 10031, USA
  • 7California State University Fresno, Fresno, CA 93740, USA
  • 8Oregon State University, Corvallis, OR 97331, USA
  • 9Florida International University, Miami, FL 33199, USA
  • 10Haldimand Bird Observatory, Ontario, Canada
  • 11Virginia Institute of Marine Science, Gloucester Point, VA 23062, USA
  • 12Nunavut Impact Review Board, Nunavut, Canada
  • 13University of Maryland, College Park, MD 20742, USA
  • 14California State University Channel Islands, Camarillo, CA 93012, USA
  • 15University of New Hampshire, Durham, NH 03824, USA
  • 16Norwegian Institute for Water Research, 0579 Oslo, Norway

Abstract. The Canadian Arctic Archipelago (CAA) acts as a watershed discharge in the Arctic Ocean, as it is characterized by advection from the Pacific and Atlantic waters, ice melt, local river discharge and net precipitation. Its waters are characterized by the mixing of Pacific and Atlantic water origin, and the meltwater supply originating from the Devon Ice Cap Glaciers and marine-terminating rivers. The Special Report on the Ocean and Cryosphere in a Changing Climate published by the IPCC in 2021, showed how the runoff into the Arctic Ocean increased for Eurasian and North American rivers by 3.3 ± 1.6 % and 2.0 ± 1.8 % respectively (1976–2017), hence, monitoring the freshwater supply within the CAA is crucial in a warming scenario. This paper aims to describe the water mass structures within the CAA, by analyzing physical and chemical tracers collected in 2019 during the Northwest Passage expedition held in July and August onboard the Swedish icebreaker Oden. The uniqueness of this study is the wide dataset composed of physical and chemical parameters ( Here, we implemented the Optimal Multiparameter analysis for the detection of the source water fractions, such as, Atlantic Water (AW), Pacific Water (PW), Meteoric Water (MW), and Sea Ice Meltwater (SIM). For this analysis, we used a nutrient ratio tracer defined Arctic Nitrate-Phosphate tracer, together with the absolute salinity and δ18O from the water samples. Our analysis confirmed the intrusion of the PW from the west in the upper layers and of AW from the east in the deeper layers. We also discriminated the meltwaters between glacial and sea ice origin and showed their spatial distribution in the study area. This study provides unique set of data from this under observed region and can serve as baseline for further analysis and continued data collection.

Alessandra D'Angelo et al.

Status: open (until 09 Nov 2022)

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Alessandra D'Angelo et al.

Data sets

Northwest Passage Project seawater dataset, July - August 2019, Canadian Arctic Archipelago Alessandra D'Angelo, Brice Loose, Valentine Kass, Holly Morin, Humair Raziuddin, et al. 2022

Alessandra D'Angelo et al.


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Short summary
The Canadian Arctic Archipelago (CAA) is characterized by advection from the Pacific (PW) and Atlantic waters (AW), ice melt, local river discharge and net precipitation. In a changing Arctic, it is crucial to monitor the hydrography of this Region. We combined chemical and physical parameters into an Optimal MultiParameter Analysis, for the detection of the source water fractions characterizing the CAA. The outcome was effective about the PW and AW, and discriminated the meltwaters origin.