New Insights in Regional Climate Change: Coupled Land Albedo Change Estimation in Greenland from 1981 to 2017
Land albedo is an essential variable in land surface energy balance and climate change. Within regional land, albedo has been altered in Greenland as ice melts and runoff increases in response to global warming against the period of the pre-industrial revolution. The assessment of spatiotemporal var...
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ftdoajarticles:oai:doaj.org/article:7d5f163725bb461082b17df27ad19133 2023-05-15T16:25:57+02:00 New Insights in Regional Climate Change: Coupled Land Albedo Change Estimation in Greenland from 1981 to 2017 Fei Peng Haoran Zhou Gong Chen Qi Li Yongxing Wu Heming Liang 2020-02-01T00:00:00Z https://doi.org/10.3390/rs12050756 https://doaj.org/article/7d5f163725bb461082b17df27ad19133 EN eng MDPI AG https://www.mdpi.com/2072-4292/12/5/756 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs12050756 https://doaj.org/article/7d5f163725bb461082b17df27ad19133 Remote Sensing, Vol 12, Iss 5, p 756 (2020) greenland albedo change ice-snow coupled model intercomparison project 5 (cmip5) detections and attributions (d& a) Science Q article 2020 ftdoajarticles https://doi.org/10.3390/rs12050756 2022-12-31T15:16:48Z Land albedo is an essential variable in land surface energy balance and climate change. Within regional land, albedo has been altered in Greenland as ice melts and runoff increases in response to global warming against the period of the pre-industrial revolution. The assessment of spatiotemporal variation in albedo is a prerequisite for accurate prediction of ice sheet loss and future climate change, as well as crucial prior knowledge for improving current climate models. In our study, we employed the satellite data product from the global land surface satellite (GLASS) project to obtain the spatiotemporal variation of albedo from 1981 to 2017 using the non-parameter-based M-K (Mann-Kendall) method. It was found that the albedo generally showed a decreasing trend in the past 37 years (−0.013 ± 0.001 decade −1 , p < 0.01); in particular, the albedo showed a significant increasing trend in the middle part of the study area but a decreasing trend in the coastal area. The interannual and seasonal variations of albedo showed strong spatial-temporal heterogeneity. Additionally, based on natural and anthropogenic factors, in order to further reveal the potential effects of spatiotemporal variation of albedo on the regional climate, we coupled climate model data with observed data documented by satellite and adopted a conceptual experiment for detections and attributions analysis. Our results showed that both the greenhouse gas forcing and aerosol forcing induced by anthropogenic activities in the past 37 decades were likely to be the main contributors (46.1%) to the decrease of albedo in Greenland. Here, we indicated that overall, Greenland might exhibit a local warming effect based on our study. Albedo−ice melting feedback is strongly associated with local temperature changes in Greenland. Therefore, this study provides a potential pathway to understanding climate change on a regional scale based on the coupled dataset. Article in Journal/Newspaper Greenland Ice Sheet Directory of Open Access Journals: DOAJ Articles Greenland Kendall ENVELOPE(-59.828,-59.828,-63.497,-63.497) Remote Sensing 12 5 756 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
greenland albedo change ice-snow coupled model intercomparison project 5 (cmip5) detections and attributions (d& a) Science Q |
spellingShingle |
greenland albedo change ice-snow coupled model intercomparison project 5 (cmip5) detections and attributions (d& a) Science Q Fei Peng Haoran Zhou Gong Chen Qi Li Yongxing Wu Heming Liang New Insights in Regional Climate Change: Coupled Land Albedo Change Estimation in Greenland from 1981 to 2017 |
topic_facet |
greenland albedo change ice-snow coupled model intercomparison project 5 (cmip5) detections and attributions (d& a) Science Q |
description |
Land albedo is an essential variable in land surface energy balance and climate change. Within regional land, albedo has been altered in Greenland as ice melts and runoff increases in response to global warming against the period of the pre-industrial revolution. The assessment of spatiotemporal variation in albedo is a prerequisite for accurate prediction of ice sheet loss and future climate change, as well as crucial prior knowledge for improving current climate models. In our study, we employed the satellite data product from the global land surface satellite (GLASS) project to obtain the spatiotemporal variation of albedo from 1981 to 2017 using the non-parameter-based M-K (Mann-Kendall) method. It was found that the albedo generally showed a decreasing trend in the past 37 years (−0.013 ± 0.001 decade −1 , p < 0.01); in particular, the albedo showed a significant increasing trend in the middle part of the study area but a decreasing trend in the coastal area. The interannual and seasonal variations of albedo showed strong spatial-temporal heterogeneity. Additionally, based on natural and anthropogenic factors, in order to further reveal the potential effects of spatiotemporal variation of albedo on the regional climate, we coupled climate model data with observed data documented by satellite and adopted a conceptual experiment for detections and attributions analysis. Our results showed that both the greenhouse gas forcing and aerosol forcing induced by anthropogenic activities in the past 37 decades were likely to be the main contributors (46.1%) to the decrease of albedo in Greenland. Here, we indicated that overall, Greenland might exhibit a local warming effect based on our study. Albedo−ice melting feedback is strongly associated with local temperature changes in Greenland. Therefore, this study provides a potential pathway to understanding climate change on a regional scale based on the coupled dataset. |
format |
Article in Journal/Newspaper |
author |
Fei Peng Haoran Zhou Gong Chen Qi Li Yongxing Wu Heming Liang |
author_facet |
Fei Peng Haoran Zhou Gong Chen Qi Li Yongxing Wu Heming Liang |
author_sort |
Fei Peng |
title |
New Insights in Regional Climate Change: Coupled Land Albedo Change Estimation in Greenland from 1981 to 2017 |
title_short |
New Insights in Regional Climate Change: Coupled Land Albedo Change Estimation in Greenland from 1981 to 2017 |
title_full |
New Insights in Regional Climate Change: Coupled Land Albedo Change Estimation in Greenland from 1981 to 2017 |
title_fullStr |
New Insights in Regional Climate Change: Coupled Land Albedo Change Estimation in Greenland from 1981 to 2017 |
title_full_unstemmed |
New Insights in Regional Climate Change: Coupled Land Albedo Change Estimation in Greenland from 1981 to 2017 |
title_sort |
new insights in regional climate change: coupled land albedo change estimation in greenland from 1981 to 2017 |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12050756 https://doaj.org/article/7d5f163725bb461082b17df27ad19133 |
long_lat |
ENVELOPE(-59.828,-59.828,-63.497,-63.497) |
geographic |
Greenland Kendall |
geographic_facet |
Greenland Kendall |
genre |
Greenland Ice Sheet |
genre_facet |
Greenland Ice Sheet |
op_source |
Remote Sensing, Vol 12, Iss 5, p 756 (2020) |
op_relation |
https://www.mdpi.com/2072-4292/12/5/756 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs12050756 https://doaj.org/article/7d5f163725bb461082b17df27ad19133 |
op_doi |
https://doi.org/10.3390/rs12050756 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
5 |
container_start_page |
756 |
_version_ |
1766014813399416832 |