Interannual Variations of TOA Albedo over the Arctic, Antarctic and Tibetan Plateau in 2000–2019
Recent changes in Earth’s climate system have significantly affected the radiation budget and its year-to-year variations at top of the atmosphere (TOA). Observing high-latitude TOA fluxes is still challenging from space, because spatial inhomogeneity of surface/atmospheric radiative processes and s...
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ftdoajarticles:oai:doaj.org/article:dba649e82eaf417eabd5b40ba6938ca6 2023-05-15T13:10:27+02:00 Interannual Variations of TOA Albedo over the Arctic, Antarctic and Tibetan Plateau in 2000–2019 Dong L. Wu Jae Nyung Lee Kyu-Myong Kim Young-Kwon Lim 2020-05-01T00:00:00Z https://doi.org/10.3390/rs12091460 https://doaj.org/article/dba649e82eaf417eabd5b40ba6938ca6 EN eng MDPI AG https://www.mdpi.com/2072-4292/12/9/1460 https://doaj.org/toc/2072-4292 doi:10.3390/rs12091460 2072-4292 https://doaj.org/article/dba649e82eaf417eabd5b40ba6938ca6 Remote Sensing, Vol 12, Iss 1460, p 1460 (2020) interannual variations albedo shortwave radiation top of the atmosphere 4-year oscillation lagged correlation Science Q article 2020 ftdoajarticles https://doi.org/10.3390/rs12091460 2022-12-30T20:32:31Z Recent changes in Earth’s climate system have significantly affected the radiation budget and its year-to-year variations at top of the atmosphere (TOA). Observing high-latitude TOA fluxes is still challenging from space, because spatial inhomogeneity of surface/atmospheric radiative processes and spectral variability can reflect sunlight very differently. In this study we analyze the 20-year TOA flux and albedo data from CERES and MISR over the Arctic, the Antarctic, and Tibetan Plateau (TP), and found overall great consistency in the TOA albedo trend and interannual variations. The observations reveal a lagged correlation between the Arctic and subarctic albedo fluctuations. The observed year-to-year variations are further used to evaluate the reanalysis data, which exhibit substantial shortcomings in representing the polar TOA flux variability. The observed Arctic flux variations are highly correlated with cloud fraction (CF), except in the regions where CF > 90% or where the surface is covered by ice. An empirical orthogonal function (EOF) analysis shows that the first five EOFs can account for ~50% of the Arctic TOA variance, whereas the correlation with climate indices suggests that Sea Ice Extent (SIE), North Atlantic Oscillation (NAO) and 55°N–65°N cloudiness are the most influential processes in driving the TOA flux variabilities. Article in Journal/Newspaper albedo Antarc* Antarctic Arctic North Atlantic North Atlantic oscillation Sea ice Subarctic Directory of Open Access Journals: DOAJ Articles Arctic Antarctic The Antarctic Remote Sensing 12 9 1460 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
interannual variations albedo shortwave radiation top of the atmosphere 4-year oscillation lagged correlation Science Q |
spellingShingle |
interannual variations albedo shortwave radiation top of the atmosphere 4-year oscillation lagged correlation Science Q Dong L. Wu Jae Nyung Lee Kyu-Myong Kim Young-Kwon Lim Interannual Variations of TOA Albedo over the Arctic, Antarctic and Tibetan Plateau in 2000–2019 |
topic_facet |
interannual variations albedo shortwave radiation top of the atmosphere 4-year oscillation lagged correlation Science Q |
description |
Recent changes in Earth’s climate system have significantly affected the radiation budget and its year-to-year variations at top of the atmosphere (TOA). Observing high-latitude TOA fluxes is still challenging from space, because spatial inhomogeneity of surface/atmospheric radiative processes and spectral variability can reflect sunlight very differently. In this study we analyze the 20-year TOA flux and albedo data from CERES and MISR over the Arctic, the Antarctic, and Tibetan Plateau (TP), and found overall great consistency in the TOA albedo trend and interannual variations. The observations reveal a lagged correlation between the Arctic and subarctic albedo fluctuations. The observed year-to-year variations are further used to evaluate the reanalysis data, which exhibit substantial shortcomings in representing the polar TOA flux variability. The observed Arctic flux variations are highly correlated with cloud fraction (CF), except in the regions where CF > 90% or where the surface is covered by ice. An empirical orthogonal function (EOF) analysis shows that the first five EOFs can account for ~50% of the Arctic TOA variance, whereas the correlation with climate indices suggests that Sea Ice Extent (SIE), North Atlantic Oscillation (NAO) and 55°N–65°N cloudiness are the most influential processes in driving the TOA flux variabilities. |
format |
Article in Journal/Newspaper |
author |
Dong L. Wu Jae Nyung Lee Kyu-Myong Kim Young-Kwon Lim |
author_facet |
Dong L. Wu Jae Nyung Lee Kyu-Myong Kim Young-Kwon Lim |
author_sort |
Dong L. Wu |
title |
Interannual Variations of TOA Albedo over the Arctic, Antarctic and Tibetan Plateau in 2000–2019 |
title_short |
Interannual Variations of TOA Albedo over the Arctic, Antarctic and Tibetan Plateau in 2000–2019 |
title_full |
Interannual Variations of TOA Albedo over the Arctic, Antarctic and Tibetan Plateau in 2000–2019 |
title_fullStr |
Interannual Variations of TOA Albedo over the Arctic, Antarctic and Tibetan Plateau in 2000–2019 |
title_full_unstemmed |
Interannual Variations of TOA Albedo over the Arctic, Antarctic and Tibetan Plateau in 2000–2019 |
title_sort |
interannual variations of toa albedo over the arctic, antarctic and tibetan plateau in 2000–2019 |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12091460 https://doaj.org/article/dba649e82eaf417eabd5b40ba6938ca6 |
geographic |
Arctic Antarctic The Antarctic |
geographic_facet |
Arctic Antarctic The Antarctic |
genre |
albedo Antarc* Antarctic Arctic North Atlantic North Atlantic oscillation Sea ice Subarctic |
genre_facet |
albedo Antarc* Antarctic Arctic North Atlantic North Atlantic oscillation Sea ice Subarctic |
op_source |
Remote Sensing, Vol 12, Iss 1460, p 1460 (2020) |
op_relation |
https://www.mdpi.com/2072-4292/12/9/1460 https://doaj.org/toc/2072-4292 doi:10.3390/rs12091460 2072-4292 https://doaj.org/article/dba649e82eaf417eabd5b40ba6938ca6 |
op_doi |
https://doi.org/10.3390/rs12091460 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
9 |
container_start_page |
1460 |
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1766230130415370240 |