KOPRI Repository

Emerging unprecedented lake ice loss in climate change projections

Cited 0 time in wos
Cited 0 time in scopus

Full metadata record

DC Field Value Language
dc.contributor.authorLei Huang-
dc.contributor.authorAxel Timmermann-
dc.contributor.author이순선-
dc.contributor.authorKeith B. Rodgers-
dc.contributor.authorRyohei Yamaguchi-
dc.contributor.authorChung, Eui-Seok-
dc.date.accessioned2022-10-25T16:36:47Z-
dc.date.available2022-10-25T16:36:47Z-
dc.date.issued2022-
dc.identifier.urihttps://repository.kopri.re.kr/handle/201206/14001-
dc.description.abstractSeasonal ice in lakes plays an important role for local communities and lake ecosystems. Here we use Large Ensemble simulations conducted with the Community Earth System Model version 2, which includes a lake simulator, to quantify the response of lake ice to greenhouse warming and to determine emergence patterns of anthropogenic lake ice loss. Our model simulations show that the average duration of ice coverage and maximum ice thickness are projected to decrease over the next 80 years by 38 days and 0.23 m, respectively. In the Canadian Arctic, lake ice loss is accelerated by the cold-season polar amplification. Lake ice on the Tibetan Plateau decreases rapidly due to a combination of strong insolation forcing and ice-albedo feedbacks. Comparing the anthropogenic signal with natural variability represented by the Large Ensemble, we find that lake ecosystems in these regions may be exposed to no-analogue ice coverage within the next 4-5 decades.-
dc.languageEnglish-
dc.subject.classification해당사항없음-
dc.titleEmerging unprecedented lake ice loss in climate change projections-
dc.title.alternative미래 기후변화 실험에 나타난 전례없는 호수 얼음의 감소-
dc.typeArticle-
dc.identifier.bibliographicCitationLei Huang, et al. 2022. "Emerging unprecedented lake ice loss in climate change projections". <em>NATURE COMMUNICATIONS</em>, 13(1): 1-12.-
dc.citation.titleNATURE COMMUNICATIONS-
dc.citation.volume13-
dc.citation.number1-
dc.identifier.doi10.1038/s41467-022-33495-3-
dc.citation.startPage1-
dc.citation.endPage12-
dc.description.articleClassificationSCIE-
dc.description.jcrRateJCR 2020:5.556-
dc.identifier.localId2022-0172-
Appears in Collections  
2022-2022, Earth System Model-based Korea Polar Prediction System (KPOPS-Earth) Development and Its Application to the High-impact Weather Events originated from the Changing Arctic Ocean and Sea Ice (22-22) / Kim, Joo-Hong (PE22010)
Files in This Item
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse