Development and analysis of a continuous record of global near-surface soil freeze/thaw patterns from AMSR-E and AMSR2 data
Monitoring near-surface soil freeze/thaw patterns is becoming essential under the context of global changes as it is more sensitive to climatic fluctuation compared with subsurface thermal characteristics and its evolution could be an early warning of changes in near-surface permafrost. It requires...
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ftcopernicus:oai:publications.copernicus.org:tcd51255 2023-05-15T17:56:42+02:00 Development and analysis of a continuous record of global near-surface soil freeze/thaw patterns from AMSR-E and AMSR2 data Hu, Tongxi Zhao, Tianjie Shi, Jiancheng Wang, Tianxing Ji, Dabin Bitar, Ahmad Al Peng, Bin Cui, Yurong 2018-09-26 application/pdf https://doi.org/10.5194/tc-2016-115 https://tc.copernicus.org/preprints/tc-2016-115/ eng eng doi:10.5194/tc-2016-115 https://tc.copernicus.org/preprints/tc-2016-115/ eISSN: 1994-0424 Text 2018 ftcopernicus https://doi.org/10.5194/tc-2016-115 2020-07-20T16:24:06Z Monitoring near-surface soil freeze/thaw patterns is becoming essential under the context of global changes as it is more sensitive to climatic fluctuation compared with subsurface thermal characteristics and its evolution could be an early warning of changes in near-surface permafrost. It requires continuous long term and stable data record for understanding hydrological, ecological and biogeochemical responses of permafrost to global climate change. AMSR2 (Advanced Microwave Scanning Radiometer 2) is designed as a successor of AMSR-E (Advanced Microwave Scanning Radiometer – Earth Observing System) to ensure continuity of such observation. In this study, a linear regression is used to inter-calibrate the AMSR-E and AMSR2 brightness temperatures. Then discriminant function algorithm is adopted to produce a long term freeze/thaw data record. It is compared with in situ air temperature measurements from both the temporal and spatial aspects. The results show that the accuracy is consistent between AMSR-E and AMSR2 with a value above 85 %, according to the result of spatial distribution accuracy. Analysis is conducted with this data record to explore the spatial distribution of frost days, its changing trend and the frost probability of each pixel on a specific date. The mean annual frost days of high northern latitude (HNL, > 45° N) zone is 214.2 ± 69.5 days and the trend of frost days indicates that the frost period is decreasing at a rate of −0.0065 day/month in 27 % of the domain which is defined by significance level of the F-test, and most of which are concentrated in the high latitude area specifically over the Northeast of Canada, Central and Eastern Russia and most part of Eastern Europe. The significant changes in frost days mostly occur in regions of discontinuous permafrost and transient permafrost. The spatial distribution of the frost days and its trend variations are found to be consistent with the minimum temperature anomalies trend. It indicates that the global warming is not constant at different regions over the globe. Further analysis over the Qinghai-Tibetan Plateau where discontinuous permafrost, island permafrost, seasonally frozen ground exist demonstrated that the frost period is shortening slightly over the past decade, and the last frost date is advanced over more than half of the region. It is considered to be a remarkable indication for permafrost degradation in this area. Text permafrost Copernicus Publications: E-Journals Canada |
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English |
description |
Monitoring near-surface soil freeze/thaw patterns is becoming essential under the context of global changes as it is more sensitive to climatic fluctuation compared with subsurface thermal characteristics and its evolution could be an early warning of changes in near-surface permafrost. It requires continuous long term and stable data record for understanding hydrological, ecological and biogeochemical responses of permafrost to global climate change. AMSR2 (Advanced Microwave Scanning Radiometer 2) is designed as a successor of AMSR-E (Advanced Microwave Scanning Radiometer – Earth Observing System) to ensure continuity of such observation. In this study, a linear regression is used to inter-calibrate the AMSR-E and AMSR2 brightness temperatures. Then discriminant function algorithm is adopted to produce a long term freeze/thaw data record. It is compared with in situ air temperature measurements from both the temporal and spatial aspects. The results show that the accuracy is consistent between AMSR-E and AMSR2 with a value above 85 %, according to the result of spatial distribution accuracy. Analysis is conducted with this data record to explore the spatial distribution of frost days, its changing trend and the frost probability of each pixel on a specific date. The mean annual frost days of high northern latitude (HNL, > 45° N) zone is 214.2 ± 69.5 days and the trend of frost days indicates that the frost period is decreasing at a rate of −0.0065 day/month in 27 % of the domain which is defined by significance level of the F-test, and most of which are concentrated in the high latitude area specifically over the Northeast of Canada, Central and Eastern Russia and most part of Eastern Europe. The significant changes in frost days mostly occur in regions of discontinuous permafrost and transient permafrost. The spatial distribution of the frost days and its trend variations are found to be consistent with the minimum temperature anomalies trend. It indicates that the global warming is not constant at different regions over the globe. Further analysis over the Qinghai-Tibetan Plateau where discontinuous permafrost, island permafrost, seasonally frozen ground exist demonstrated that the frost period is shortening slightly over the past decade, and the last frost date is advanced over more than half of the region. It is considered to be a remarkable indication for permafrost degradation in this area. |
format |
Text |
author |
Hu, Tongxi Zhao, Tianjie Shi, Jiancheng Wang, Tianxing Ji, Dabin Bitar, Ahmad Al Peng, Bin Cui, Yurong |
spellingShingle |
Hu, Tongxi Zhao, Tianjie Shi, Jiancheng Wang, Tianxing Ji, Dabin Bitar, Ahmad Al Peng, Bin Cui, Yurong Development and analysis of a continuous record of global near-surface soil freeze/thaw patterns from AMSR-E and AMSR2 data |
author_facet |
Hu, Tongxi Zhao, Tianjie Shi, Jiancheng Wang, Tianxing Ji, Dabin Bitar, Ahmad Al Peng, Bin Cui, Yurong |
author_sort |
Hu, Tongxi |
title |
Development and analysis of a continuous record of global near-surface soil freeze/thaw patterns from AMSR-E and AMSR2 data |
title_short |
Development and analysis of a continuous record of global near-surface soil freeze/thaw patterns from AMSR-E and AMSR2 data |
title_full |
Development and analysis of a continuous record of global near-surface soil freeze/thaw patterns from AMSR-E and AMSR2 data |
title_fullStr |
Development and analysis of a continuous record of global near-surface soil freeze/thaw patterns from AMSR-E and AMSR2 data |
title_full_unstemmed |
Development and analysis of a continuous record of global near-surface soil freeze/thaw patterns from AMSR-E and AMSR2 data |
title_sort |
development and analysis of a continuous record of global near-surface soil freeze/thaw patterns from amsr-e and amsr2 data |
publishDate |
2018 |
url |
https://doi.org/10.5194/tc-2016-115 https://tc.copernicus.org/preprints/tc-2016-115/ |
geographic |
Canada |
geographic_facet |
Canada |
genre |
permafrost |
genre_facet |
permafrost |
op_source |
eISSN: 1994-0424 |
op_relation |
doi:10.5194/tc-2016-115 https://tc.copernicus.org/preprints/tc-2016-115/ |
op_doi |
https://doi.org/10.5194/tc-2016-115 |
_version_ |
1766164954034995200 |