Articles | Volume 17, issue 7
https://doi.org/10.5194/tc-17-2871-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-2871-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Jul 2023
Research article |
| 18 Jul 2023
| 18 Jul 2023
A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era
Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA
Yinghui Liu
Center for Satellite Applications and Research, NOAA/NESDIS, Madison, Wisconsin, USA
Jeffrey R. Key
Center for Satellite Applications and Research, NOAA/NESDIS, Madison, Wisconsin, USA
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A prominent part of the polar climate system is sea ice, a better understanding of which would lead to better understanding Earth's climate. Newly published methods for observing the temperature of sea ice have made possible a new method for estimating daily sea ice thickness growth from space using an energy balance. The method compares well with existing sea ice thickness observations.
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Detailed and accurate vertical distributions of cloud properties are essential to accurately calculate the surface radiative flux and to depict the mean climate state, and such information is more desirable in the Arctic due to its recent rapid changes and the challenging observation conditions. This study presents a feasible way to provide such information by blending cloud observations from surface and space-based instruments with the understanding of their respective strength and limitations.
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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 them against models, observational estimates of these process independent from one another are necessary. We present a large spatial- and temporal-scale observational estimate of these processes.
Sea ice parcels may experience thickness changes primarily through two processes: due to...
