Arctic Sea Ice Volume Variability over 1901–2010: A Model-Based ReconstructionSource: Journal of Climate:;2019:;volume 032:;issue 015::page 4731DOI: 10.1175/JCLI-D-19-0008.1Publisher: American Meteorological Society
Abstract: AbstractPIOMAS-20C, an Arctic sea ice reconstruction for 1901?2010, is produced by forcing the Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS) with ERA-20C atmospheric data. ERA-20C performance over Arctic sea ice is assessed by comparisons with measurements and data from other reanalyses. ERA-20C performs similarly with respect to the annual cycle of downwelling radiation, air temperature, and wind speed compared to reanalyses with more extensive data assimilation such as ERA-Interim and MERRA. PIOMAS-20C sea ice thickness and volume are then compared with in situ and aircraft remote sensing observations for the period of ~1950?2010. Error statistics are similar to those for PIOMAS. We compare the magnitude and patterns of sea ice variability between the first half of the twentieth century (1901?40) and the more recent period (1980?2010), both marked by sea ice decline in the Arctic. The first period contains the so-called early-twentieth-century warming (ETCW; ~1920?40) during which the Atlantic sector saw a significant decline in sea ice volume, but the Pacific sector did not. The sea ice decline over the 1979?2010 period is pan-Arctic and 6 times larger than the net decline during the 1901?40 period. Sea ice volume trends reconstructed solely from surface temperature anomalies are smaller than PIOMAS-20C, suggesting that mechanisms other than warming, such as changes in ice motion and deformation, played a significant role in determining sea ice volume trends during both periods.
|
Collections
Show full item record
contributor author | Schweiger, Axel J. | |
contributor author | Wood, Kevin R. | |
contributor author | Zhang, Jinlun | |
date accessioned | 2019-10-05T06:43:57Z | |
date available | 2019-10-05T06:43:57Z | |
date copyright | 4/15/2019 12:00:00 AM | |
date issued | 2019 | |
identifier other | JCLI-D-19-0008.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4263249 | |
description abstract | AbstractPIOMAS-20C, an Arctic sea ice reconstruction for 1901?2010, is produced by forcing the Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS) with ERA-20C atmospheric data. ERA-20C performance over Arctic sea ice is assessed by comparisons with measurements and data from other reanalyses. ERA-20C performs similarly with respect to the annual cycle of downwelling radiation, air temperature, and wind speed compared to reanalyses with more extensive data assimilation such as ERA-Interim and MERRA. PIOMAS-20C sea ice thickness and volume are then compared with in situ and aircraft remote sensing observations for the period of ~1950?2010. Error statistics are similar to those for PIOMAS. We compare the magnitude and patterns of sea ice variability between the first half of the twentieth century (1901?40) and the more recent period (1980?2010), both marked by sea ice decline in the Arctic. The first period contains the so-called early-twentieth-century warming (ETCW; ~1920?40) during which the Atlantic sector saw a significant decline in sea ice volume, but the Pacific sector did not. The sea ice decline over the 1979?2010 period is pan-Arctic and 6 times larger than the net decline during the 1901?40 period. Sea ice volume trends reconstructed solely from surface temperature anomalies are smaller than PIOMAS-20C, suggesting that mechanisms other than warming, such as changes in ice motion and deformation, played a significant role in determining sea ice volume trends during both periods. | |
publisher | American Meteorological Society | |
title | Arctic Sea Ice Volume Variability over 1901–2010: A Model-Based Reconstruction | |
type | Journal Paper | |
journal volume | 32 | |
journal issue | 15 | |
journal title | Journal of Climate | |
identifier doi | 10.1175/JCLI-D-19-0008.1 | |
journal fristpage | 4731 | |
journal lastpage | 4752 | |
tree | Journal of Climate:;2019:;volume 032:;issue 015 | |
contenttype | Fulltext |