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Award Abstract # 1724424
Collaborative Research: Thermodynamic and Dynamic Drivers of the Arctic Sea Ice Mass Budget at MOSAiC

NSF Org: OPP
Office of Polar Programs (OPP)
Recipient: TRUSTEES OF DARTMOUTH COLLEGE
Initial Amendment Date: August 16, 2017
Latest Amendment Date: August 16, 2017
Award Number: 1724424
Award Instrument: Standard Grant
Program Manager: Colleen Strawhacker
colstraw@nsf.gov
 (703)292-7432
OPP
 Office of Polar Programs (OPP)
GEO
 Directorate for Geosciences
Start Date: October 1, 2017
End Date: September 30, 2023 (Estimated)
Total Intended Award Amount: $484,759.00
Total Awarded Amount to Date: $484,759.00
Funds Obligated to Date: FY 2017 = $484,759.00
History of Investigator:
  • Donald Perovich (Principal Investigator)
    donperovich@gmail.com
Recipient Sponsored Research Office: Dartmouth College
7 LEBANON ST
HANOVER
NH  US  03755-2170
(603)646-3007
Sponsor Congressional District: 02
Primary Place of Performance: Dartmouth College Thayer School of Engineering
14 Engineering Drive
Hanover
NH  US  03755-4401
Primary Place of Performance
Congressional District:
02
Unique Entity Identifier (UEI): EB8ASJBCFER9
Parent UEI: T4MWFG59C6R3
NSF Program(s): ARCSS-Arctic System Science
Primary Program Source: 0100XXXXDB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 1079
Program Element Code(s): 521900
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.078

ABSTRACT

Energy fluxes to the sea ice, and the processes that control them in time and space, comprise some of the largest uncertainties in current models of the central Arctic system and are likely changing as the sea ice thins. This project will make observations to provide the type of information that model developers need for representing emergent Arctic processes. These observations will be the first set of comprehensive, coupled atmosphere-ice-ocean energy and momentum flux measurements collected within a well-defined network. They will enable a process-based understanding of ice thermodynamics and dynamics via synergistic use of a coupled model. The Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition is a tremendous opportunity to leverage large US and international investments

MOSAiC is motivated by the changing Arctic system and declining sea ice, and their significant implications for the global climate system and numerous stakeholders. The initiative seeks to address leading deficiencies in model representation of coupled, atmosphere-ice-ocean processes in the Arctic system through intensive, year-round observations from a drifting station in the central Arctic and coordinated multi-scale modeling. This project will examine the detailed interplay of sea-ice thermodynamic and dynamic processes and how they control the state of the ice over a full year. This project will entail an observational array of five nodes installed at approximately 15 km separation in the central Arctic sea ice, each of which has systems to measure continuously the states of the upper ocean and lower atmosphere, the heat and momentum fluxes from the ocean and atmosphere to the ice, and the ice thermodynamic state and mass balance. A network of position buoys will be used to measure ice movement and deformation across the observing domain. Regional, coupled-system model simulations will provide the means to synthesize observational information towards process understanding. Together these tools will be used to build comprehensive sea ice energy, upper ocean heat, and sea-ice momentum budgets, examine how these co-vary in space and time over all seasons, and develop temporally-evolving process relationships among multiple key parameters. They will use the detailed observations and coupled regional model to examine how energy transfer processes (thermodynamics) are influenced by sea-ice deformation (dynamics) on sub-seasonal to seasonal time scales, and they will assess sea-ice predictability related to dynamic and thermodynamic process relationships, using a full year of quasi-operational, 10-day sea-ice forecasts.

Improved predictive models are an important means for addressing major societal needs related to Arctic change and declining sea ice. The project will provide an observational and process-based foundation for model development that has been called for by model developers and international experts. Moreover, it will offer insight into the sources of sea ice predictability, which will help to constrain future research pathways for improved sea ice models. The observations will enable a wide array of coupled system research that reaches well beyond the proposed project to impact research on other aspects of the Arctic physical, biological, and biogeochemical systems. Moreover, this project will support development towards autonomous ocean and atmospheric flux measurements that will help fill critical gaps in the Arctic observing network. Educational content developed around the project's research themes will support student learning on the physics of the Arctic system and enable broader scientific outreach efforts.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Fong, Allison A and Hoppe, Clara_J M and Aberle, Nicole and Ashjian, Carin J and Assmy, Philipp and Bai, Youcheng and Bakker, Dorothee_C E and Balmonte, John P and Barry, Kevin R and Bertilsson, Stefan and Boulton, William and Bowman, Jeff and Bozzato, De "Overview of the MOSAiC expedition: Ecosystem" Elem Sci Anth , v.12 , 2024 https://doi.org/10.1525/elementa.2023.00135 Citation Details
Perovich, Don and Raphael, Ian and Moore, Ryleigh and Clemens-Sewall, David and Lei, Ruibo and Sledd, Anne and Polashenski, Chris "Sea ice heat and mass balance measurements from four autonomous buoys during the MOSAiC drift campaign" Elem Sci Anth , v.11 , 2023 https://doi.org/10.1525/elementa.2023.00017 Citation Details
Planck, Cameron J. and Whitlock, James and Polashenski, Chris and Perovich, Donald "The evolution of the seasonal ice mass balance buoy" Cold Regions Science and Technology , v.165 , 2019 10.1016/j.coldregions.2019.102792 Citation Details

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

As the Arctic continues to rapidly change, one of the most influential changes is the rapid decline of the Arctic sea ice. The Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition was designed to study this declining sea ice, to explore the responsible processes, and to understand the implications of this change on the ecosystem, circulation patterns, and other global processes. MOSAiC was a year-long, international expedition that drifted with the central Arctic sea ice. This project was one of many coordinated efforts to observe the Arctic atmosphere-sea ice-ocean system from the perspectives of physical, chemical, and biological processes.  The project was specifically designed to quantify the thermodynamic and dynamic drivers of variability in the sea ice. 

During the year-long field expedition, the collaborative research team deployed a collection of observing systems across an array of four primary nodes with spacing of approximately 15 km. Each node included a Seasonal Ice Mass Balance Buoy, an Autonomous Ocean Flux Buoy, and an Atmospheric Surface Flux Station (or equivalent meteorological tower). Additionally, a large network of position buoys was deployed at various scales across the domain. Collectively, these systems made measurements to quantify most of the key components of the sea-ice, upper-ocean, and lower-atmosphere energy and momentum budgets, as well as sea ice movement and deformation on various scales.  The measurement array faced challenges during the year due to the extreme conditions and sea ice dynamics, resulting in some limitations to the distributed measurements, particularly during the second half of the expedition. Nonetheless, the project still assembled some of the most comprehensive observations of this type in the central Arctic, including successful measurements during the rarely observed central Arctic winter. Quality-assured data products have been publicly archived at the Arctic Data Center and have already been broadly utilized by the climate research community.

Scientifically, the project has supported key advances in understanding multi-scale sea ice deformation and its variability seasonally and in relation to atmospheric and oceanic stresses. These observations represented the first time this variability was tracked with high temporal resolution over a full ice growth and melt cycle. The sea ice mass balance was measured for different types of ice, revealing winter ice growth rates of less than one centimeter per day and summer melt rates as large as a few centimeters per day. The snow thermal conductivity was found to be about 0.41 W m-1 K-1, which is one third larger than the value assumed in many models. Measurements in the ocean have shown the importance of ice-ocean form drag and large-scale barotropic flow for momentum transfer across the coupled ocean-ice-atmosphere system. Additionally, it was found that vertical ocean heat fluxes across the pycnocline were highly episodic and typically less than one W m-2. Atmospheric radiative and turbulent heat fluxes were found to frequently oppose each other, intermittently modulated by the presence of leads in the sea ice. The partitioning of atmospheric energy fluxes is constrained by the snow and sea ice thermal conduction, which is dependent on snow-ice physical properties and thicknesses. Near-surface observations were used to successfully derive the annual evolution of surface roughness, supporting improved characterization of, for example, atmospheric momentum transfer to the sea ice. Observation-based, energy budget process relationships have been used to evaluate a suite of operational and research-grade coupled forecast models, revealing significant deficiencies in their representation of clouds, boundary layer processes, and/or snow and ice thermal properties. The data and researchers at part of this collaborative project have already contributed to more than 60 publications, with more to come.

The project’s impact beyond science has been significant. The team has used the excitement of the expedition and the compelling nature of the Arctic to reach broad public and educational audiences. Activities have included curriculum development for audiences from K-12 to college levels, public lectures, and key roles in a MOSAiC documentary film, among others. Through these impacts, the project’s science has been used as a mechanism to raise societal awareness of the changing Arctic system and its global implications.


Last Modified: 11/26/2023
Modified by: Donald K Perovich

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