Preprints
https://doi.org/10.5194/essd-2022-306
https://doi.org/10.5194/essd-2022-306
14 Sep 2022
 | 14 Sep 2022
Status: this discussion paper is a preprint. It has been under review for the journal Earth System Science Data (ESSD). The manuscript was not accepted for further review after discussion.

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

Alessandra D'Angelo, Cynthia Garcia-Eidell, Christopher Knowlton, Andrea Gingras, Holly Morin, Dwight Coleman, Jessica Kaelblein, Humair Raziuddin, Nikolas VanKeersbilck, Tristan J. Rivera, Krystian Kopka, Yoana Boleaga, Korenna Estes, Andrea Nodal, Ericka Schulze, Theressa Ewa, Mirella Shaban, Samira Umar, Rosanyely Santana, Jacob Strock, Erich Gruebel, Michael Digilio, Rick Ludkin, Donglai Gong, Zak Kerrigan, Mia Otokiak, Frances Crable, Nicole Trenholm, Triston Millstone, Kevin Montenegro, Melvin Kim, Gibson Porter, Tomer Ketter, Max Berkelhammer, Andrew L. King, Miguel Angel Gonzalez-Meler, and Brice Loose

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 (https://doi.org/10.18739/A2W66995R). 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.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Alessandra D'Angelo, Cynthia Garcia-Eidell, Christopher Knowlton, Andrea Gingras, Holly Morin, Dwight Coleman, Jessica Kaelblein, Humair Raziuddin, Nikolas VanKeersbilck, Tristan J. Rivera, Krystian Kopka, Yoana Boleaga, Korenna Estes, Andrea Nodal, Ericka Schulze, Theressa Ewa, Mirella Shaban, Samira Umar, Rosanyely Santana, Jacob Strock, Erich Gruebel, Michael Digilio, Rick Ludkin, Donglai Gong, Zak Kerrigan, Mia Otokiak, Frances Crable, Nicole Trenholm, Triston Millstone, Kevin Montenegro, Melvin Kim, Gibson Porter, Tomer Ketter, Max Berkelhammer, Andrew L. King, Miguel Angel Gonzalez-Meler, and Brice Loose

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-306', Anonymous Referee #1, 11 Oct 2022
  • RC2: 'Comment on essd-2022-306', Anonymous Referee #2, 12 Oct 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-306', Anonymous Referee #1, 11 Oct 2022
  • RC2: 'Comment on essd-2022-306', Anonymous Referee #2, 12 Oct 2022
Alessandra D'Angelo, Cynthia Garcia-Eidell, Christopher Knowlton, Andrea Gingras, Holly Morin, Dwight Coleman, Jessica Kaelblein, Humair Raziuddin, Nikolas VanKeersbilck, Tristan J. Rivera, Krystian Kopka, Yoana Boleaga, Korenna Estes, Andrea Nodal, Ericka Schulze, Theressa Ewa, Mirella Shaban, Samira Umar, Rosanyely Santana, Jacob Strock, Erich Gruebel, Michael Digilio, Rick Ludkin, Donglai Gong, Zak Kerrigan, Mia Otokiak, Frances Crable, Nicole Trenholm, Triston Millstone, Kevin Montenegro, Melvin Kim, Gibson Porter, Tomer Ketter, Max Berkelhammer, Andrew L. King, Miguel Angel Gonzalez-Meler, and Brice Loose

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 https://doi.org/10.18739/A2W66995R

Alessandra D'Angelo, Cynthia Garcia-Eidell, Christopher Knowlton, Andrea Gingras, Holly Morin, Dwight Coleman, Jessica Kaelblein, Humair Raziuddin, Nikolas VanKeersbilck, Tristan J. Rivera, Krystian Kopka, Yoana Boleaga, Korenna Estes, Andrea Nodal, Ericka Schulze, Theressa Ewa, Mirella Shaban, Samira Umar, Rosanyely Santana, Jacob Strock, Erich Gruebel, Michael Digilio, Rick Ludkin, Donglai Gong, Zak Kerrigan, Mia Otokiak, Frances Crable, Nicole Trenholm, Triston Millstone, Kevin Montenegro, Melvin Kim, Gibson Porter, Tomer Ketter, Max Berkelhammer, Andrew L. King, Miguel Angel Gonzalez-Meler, and Brice Loose

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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.
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