scholarly journals County-Level Climate Uncertainty for Risk Assessments: Volume 22 Appendix U - Historical Sea Ice Thickness

2017 ◽  
Author(s):  
George A. Backus ◽  
Thomas Stephen Lowry ◽  
Shannon M Jones ◽  
La Tonya Nicole Walker ◽  
Barry L Roberts ◽  
...  
2017 ◽  
Author(s):  
George A. Backus ◽  
Thomas Stephen Lowry ◽  
Shannon M. Jones ◽  
La Tonya Nicole Walker ◽  
Barry L. Roberts ◽  
...  

2017 ◽  
Author(s):  
George A. Backus ◽  
Thomas Stephen Lowry ◽  
Shannon M. Jones ◽  
La Tonya Nicole Walker ◽  
Barry L. Roberts ◽  
...  

2017 ◽  
Author(s):  
George A. Backus ◽  
Thomas Stephen Lowry ◽  
Shannon M Jones ◽  
La Tonya Nicole Walker ◽  
Barry L Roberts ◽  
...  

2017 ◽  
Author(s):  
George A. Backus ◽  
Thomas Stephen Lowry ◽  
Shannon M Jones ◽  
La Tonya Nicole Walker ◽  
Barry L Roberts ◽  
...  

2017 ◽  
Author(s):  
George A. Backus ◽  
Thomas Stephen Lowry ◽  
Shannon M. Jones ◽  
La Tonya Nicole Walker ◽  
Barry L. Roberts ◽  
...  

2012 ◽  
Vol 19 (3) ◽  
pp. 583-592 ◽  
Author(s):  
Yinke Dou ◽  
Xiaomin Chang

Abstract Ice thickness is one of the most critical physical indicators in the ice science and engineering. It is therefore very necessary to develop in-situ automatic observation technologies of ice thickness. This paper proposes the principle of three new technologies of in-situ automatic observations of sea ice thickness and provides the findings of laboratory applications. The results show that the in-situ observation accuracy of the monitor apparatus based on the Magnetostrictive Delay Line (MDL) principle can reach ±2 mm, which has solved the “bottleneck” problem of restricting the fine development of a sea ice thermodynamic model, and the resistance accuracy of monitor apparatus with temperature gradient can reach the centimeter level and research the ice and snow substance balance by automatically measuring the glacier surface ice and snow change. The measurement accuracy of the capacitive sensor for ice thickness can also reach ±4 mm and the capacitive sensor is of the potential for automatic monitoring the water level under the ice and the ice formation and development process in water. Such three new technologies can meet different needs of fixed-point ice thickness observation and realize the simultaneous measurement in order to accurately judge the ice thickness.


2021 ◽  
Vol 42 (12) ◽  
pp. 4583-4606
Author(s):  
Mukesh Gupta ◽  
Alain Caya ◽  
Mark Buehner

2015 ◽  
Vol 56 (69) ◽  
pp. 383-393 ◽  
Author(s):  
E. Rachel Bernstein ◽  
Cathleen A. Geiger ◽  
Tracy L. Deliberty ◽  
Mary D. Lemcke-Stampone

AbstractThis work evaluates two distinct calculations of central tendency for sea-ice thickness and quantifies the impact such calculations have on ice volume for the Southern Ocean. The first calculation, area-weighted average thickness, is computed from polygonal ice features and then upscaled to regions. The second calculation, integrated thickness, is a measure of the central value of thickness categories tracked across different scales and subsequently summed to chosen regions. Both methods yield the same result from one scale to the next, but subsequent scales develop diverging solutions when distributions are strongly non-Gaussian. Data for this evaluation are sea-ice stage-of-development records from US National Ice Center ice charts from 1995 to 1998, as proxy records of ice thickness. Results show regionally integrated thickness exceeds area-weighted average thickness by as much as 60% in summer with as few as five bins in thickness distribution. Year-round, the difference between the two calculations yields volume differences consistently >10%. The largest discrepancies arise due to bimodal distributions which are common in ice charts based on current subjective-analysis protocols. We recommend that integrated distribution be used for regional-scale sea-ice thickness and volume estimates from ice charts and encourage similar testing of other large-scale thickness data archives.


Sign in / Sign up

Export Citation Format

Share Document