Arctic warming hotspot in the northern Barents Sea linked to declining sea-ice import

Nature Climate Change, Journal Year: 2018, Volume and Issue: 8(7), P. 634 - 639

Published: June 21, 2018

Language: Английский

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Warming amplification over the Arctic Pole and Third Pole: Trends, mechanisms and consequences

Earth-Science Reviews, Journal Year: 2021, Volume and Issue: 217, P. 103625 - 103625

Published: April 14, 2021

Language: Английский

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Variability and trends in the Arctic Sea ice cover: Results from different techniques

Journal of Geophysical Research Oceans, Journal Year: 2017, Volume and Issue: 122(8), P. 6883 - 6900

Published: July 13, 2017

Abstract Variability and trend studies of sea ice in the Arctic have been conducted using products derived from same raw passive microwave data but by different groups algorithms. This study provides consistency assessment four leading products, namely, Goddard Bootstrap (SB2), NASA Team (NT1), EUMETSAT Ocean Sea Ice Satellite Application Facility (OSI‐SAF 1.2), Hadley HadISST 2.2 evaluating variability trends cover. All provide generally similar patterns significant disagreements concentration distributions especially marginal zone adjacent regions winter meltponded areas summer. The discrepancies are primarily due to ways techniques account for occurrences new meltponding. However, results show that consistent representation state NT1 usually highest lowest monthly extents, respectively. also extent area at −3.88%/decade −4.37%/decade, respectively, compared an average −4.36%/decade −4.57%/decade all four. Trend maps spatial distribution with largest negative occurring Kara/Barents Beaufort regions, where has retreating fastest. good agreement updated strong confidence quantification rate decline

Language: Английский

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Positive Trend in the Antarctic Sea Ice Cover and Associated Changes in Surface Temperature

Journal of Climate, Journal Year: 2016, Volume and Issue: 30(6), P. 2251 - 2267

Published: Dec. 15, 2016

Abstract The Antarctic sea ice extent has been slowly increasing contrary to expected trends due global warming and results from coupled climate models. After a record high in 2012 the was even higher 2014 when magnitude exceeded 20 × 106 km2 for first time during satellite era. positive trend is confirmed with newly reprocessed data that addressed inconsistency issues series. variability area studied alongside surface temperature 34-yr period starting 1981, of analysis show strong correlation −0.94 growth season −0.86 melt season. coefficients are stronger one-month lag at −0.96 −0.98 season, suggesting cover strongly influenced by temperature. atmospheric circulation as represented southern annular mode (SAM) index appears be relatively weak. A case study comparing low 2015 also shows sensitivity changes suggest consequence spatial ability current models forecast can improved through better performance reproducing observed temperatures region.

Language: Английский

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Remote sensing of earth’s energy budget: synthesis and review

International Journal of Digital Earth, Journal Year: 2019, Volume and Issue: 12(7), P. 737 - 780

Published: March 28, 2019

The Earth's climate is largely determined by its energy budget. Since the 1960s, satellite remote sensing has been used in estimating these budget components at both top of atmosphere (TOA) and surface. Besides broadband sensors that have traditionally for monitoring Energy Budget (EEB), data from a variety narrowband aboard polar-orbiting geostationary satellites also extensively employed to estimate EEB components. This paper provides comprehensive review missions, state-of-the art estimation algorithms products, synthesizes current understanding spatio-temporal variations. TOA include total solar irradiance, reflected shortwave radiation/planetary albedo, outgoing longwave radiation, imbalance. surface incident net downward upwelling land sea temperature, emissivity, all-wave sensible latent heat fluxes. Some challenges, outlook such as virtual constellation different sensors, temporal homogeneity tests long time-series ensemble, products intercomparison are discussed.

Language: Английский

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An emergent constraint on future Arctic sea-ice albedo feedback

Nature Climate Change, Journal Year: 2019, Volume and Issue: 9(12), P. 972 - 978

Published: Nov. 11, 2019

Language: Английский

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Trans-Arctic shipping routes expanding faster than the model projections

Global Environmental Change, Journal Year: 2022, Volume and Issue: 73, P. 102488 - 102488

Published: Feb. 18, 2022

Language: Английский

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Robust comparison of climate models with observations using blended land air and ocean sea surface temperatures

Geophysical Research Letters, Journal Year: 2015, Volume and Issue: 42(15), P. 6526 - 6534

Published: July 30, 2015

Abstract The level of agreement between climate model simulations and observed surface temperature change is a topic scientific policy concern. While the Earth system continues to accumulate energy due anthropogenic other radiative forcings, estimates recent evolution fall at lower end projections. Global mean temperatures from are typically calculated using air temperatures, while corresponding observations based on blend sea temperatures. This work quantifies systematic bias in model‐observation comparisons arising differential warming rates over oceans. A further arises treatment regions where ice boundary has changed. Applying methodology HadCRUT4 record fields accounts for 38% discrepancy trend models period 1975–2014.

Language: Английский

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The influence of global climate change on the environmental fate of persistent organic pollutants: A review with emphasis on the Northern Hemisphere and the Arctic as a receptor

Global and Planetary Change, Journal Year: 2016, Volume and Issue: 146, P. 89 - 108

Published: Oct. 2, 2016

Language: Английский

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The adaptation challenge in the Arctic

Nature Climate Change, Journal Year: 2015, Volume and Issue: 5(12), P. 1046 - 1053

Published: Nov. 24, 2015

Language: Английский

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