Preprints
https://doi.org/10.5194/tc-2022-218
https://doi.org/10.5194/tc-2022-218
 
07 Nov 2022
07 Nov 2022
Status: this preprint is currently under review for the journal TC.

A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era

James Anheuser1, Yinghui Liu2, and Jeffrey R. Key2 James Anheuser et al.
  • 1Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, Wisconsin
  • 2Center for Satellite Applications and Research, NOAA/NESDIS, Madison, Wisconsin

Abstract. Thermodynamic and dynamic sea ice thickness processes are affected by differing mechanisms in a changing climate. Independent observational datasets of each are essential for model validation and accurate projections of future sea ice conditions. Here we present the first long-term, sub-seasonal temporal resolution, basin-wide and Eulerian climatology of dynamically and thermodynamically driven sea ice thickness effects across the Arctic. Basin-wide estimates of thermodynamic growth rate are determined by coupling passive microwave retrieved snow–ice interface temperatures to a simple sea ice thermodynamic model, total growth is calculated from weekly Alfred Wegener Institute (AWI) CS2SMOS sea ice thickness spanning fall 2010 through spring 2021, and the dynamics component is calculated as their difference. The dynamic effects are further separated into advection and deformation effects using a sea ice motion dataset. Thermodynamic growth varies from less than 0.04 m wk-1 in the central Arctic to greater than 0.08 m wk-1 in the seasonal ice zones. High positive dynamic effects of greater than 0.04 m wk-1, as high as twice that of thermodynamic growth, are found north of the Canadian Arctic Archipelago where the Transpolar Drift and Beaufort Gyre deposit ice. Strong negative dynamic effects of greater than 0.08 m wk-1 are found where the Transpolar Drift originates, nearly equal to thermodynamic effects in these regions. Yearly results from the winter of 2019–2020 compare well with a recent study of the dynamic and thermodynamic effects on sea ice thickness along the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) drift track during the winter of 2019–2020. Couplets of deformation and advection effects with opposite sign are common across the Arctic, with positive advection effects and negative deformation effects found in the Beaufort Sea and negative advection effects and positive deformation effects found in most other regions. The seasonal cycle shows deformation effect and overall dynamic effects increasing as the winter season progresses.

James Anheuser et al.

Status: open (until 06 Jan 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

James Anheuser et al.

Data sets

A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era: Data Anheuser, James https://doi.org/10.5281/zenodo.7278280

Model code and software

A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era: Code Anheuser, James https://doi.org/10.5281/zenodo.7292123

James Anheuser et al.

Viewed

Total article views: 208 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
151 54 3 208 3 3
  • HTML: 151
  • PDF: 54
  • XML: 3
  • Total: 208
  • BibTeX: 3
  • EndNote: 3
Views and downloads (calculated since 07 Nov 2022)
Cumulative views and downloads (calculated since 07 Nov 2022)

Viewed (geographical distribution)

Total article views: 199 (including HTML, PDF, and XML) Thereof 199 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Dec 2022
Download
Short summary
Sea ice parcels may experience thickness changes primarily through two processes: due to freezing or melting or due to motion relative to other parcels. These processes are independent and will be affected differently in a changing climate. In order to better understand these processes and compare against models, observational estimates of these process independent from one another are necessary. We present the first large spatial and temporal scale observational estimates of these processes.