Spatiotemporal Variability of Land Surface Albedo over the Tibet Plateau from 2001 to 2019
As an essential climate variable (ECV), land surface albedo plays an important role in the Earth surface radiation budget and regional or global climate change. The Tibetan Plateau (TP) is a sensitive environment to climate change, and understanding its albedo seasonal and inter-annual variations is...
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doaj-07f151341fba4ecea1767e87d3c2d3ef2020-11-25T02:43:22ZengMDPI AGRemote Sensing2072-42922020-04-01121188118810.3390/rs12071188Spatiotemporal Variability of Land Surface Albedo over the Tibet Plateau from 2001 to 2019Xingwen Lin0Jianguang Wen1Qinhuo Liu2Dongqin You3Shengbiao Wu4Dalei Hao5Qing Xiao6Zhaoyang Zhang7Zhenzhen Zhang8College of Geography and Environmental Sciences, Zhejiang Normal University, Hangzhou 321004, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaCollege of Geography and Environmental Sciences, Zhejiang Normal University, Hangzhou 321004, ChinaCollege of Geography and Environmental Sciences, Zhejiang Normal University, Hangzhou 321004, ChinaAs an essential climate variable (ECV), land surface albedo plays an important role in the Earth surface radiation budget and regional or global climate change. The Tibetan Plateau (TP) is a sensitive environment to climate change, and understanding its albedo seasonal and inter-annual variations is thus important to help capture the climate change rules. In this paper, we analyzed the large-scale spatial patterns, temporal trends, and seasonal variability of land surface albedo overall the TP, based on the moderate resolution imaging spectroradiometer (MODIS) MCD43 albedo products from 2001 to 2019. Specifically, we assessed the correlations between the albedo anomaly and the anomalies of normalized difference vegetation index (NDVI), the fraction of snow cover (snow cover), and land surface temperature (LST). The results show that there are larger albedo variations distributed in the mountainous terrain of the TP. Approximately 10.06% of the land surface is identified to have been influenced by the significant albedo variation from the year 2001 to 2019. The yearly averaged albedo was decreased significantly at a rate of 0.0007 (Sen’s slope) over the TP. Additionally, the yearly average snow cover was decreased at a rate of 0.0756. However, the yearly average NDVI and LST were increased with slopes of 0.0004 and 0.0253 over the TP, respectively. The relative radiative forcing (RRF) caused by the land cover change (LCC) is larger than that caused by gradual albedo variation in steady land cover types. Overall, the RRF due to gradual albedo variation varied from 0.0005 to 0.0170 W/m<sup>2</sup>, and the RRF due to LCC variation varied from 0.0037 to 0.0243 W/m<sup>2</sup> during the years 2001 to 2019. The positive RRF caused by gradual albedo variation or the LCC can strengthen the warming effects in the TP. The impact of the gradual albedo variations occurring in the steady land cover types was very low between 2001 and 2019 because the time series was short, and it therefore cannot be neglected when examining radiative forcing for a long time series regarding climate change.https://www.mdpi.com/2072-4292/12/7/1188land surface albedoTibetan Plateauinter-annual variationsMODISNDVIsnow cover |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xingwen Lin Jianguang Wen Qinhuo Liu Dongqin You Shengbiao Wu Dalei Hao Qing Xiao Zhaoyang Zhang Zhenzhen Zhang |
spellingShingle |
Xingwen Lin Jianguang Wen Qinhuo Liu Dongqin You Shengbiao Wu Dalei Hao Qing Xiao Zhaoyang Zhang Zhenzhen Zhang Spatiotemporal Variability of Land Surface Albedo over the Tibet Plateau from 2001 to 2019 Remote Sensing land surface albedo Tibetan Plateau inter-annual variations MODIS NDVI snow cover |
author_facet |
Xingwen Lin Jianguang Wen Qinhuo Liu Dongqin You Shengbiao Wu Dalei Hao Qing Xiao Zhaoyang Zhang Zhenzhen Zhang |
author_sort |
Xingwen Lin |
title |
Spatiotemporal Variability of Land Surface Albedo over the Tibet Plateau from 2001 to 2019 |
title_short |
Spatiotemporal Variability of Land Surface Albedo over the Tibet Plateau from 2001 to 2019 |
title_full |
Spatiotemporal Variability of Land Surface Albedo over the Tibet Plateau from 2001 to 2019 |
title_fullStr |
Spatiotemporal Variability of Land Surface Albedo over the Tibet Plateau from 2001 to 2019 |
title_full_unstemmed |
Spatiotemporal Variability of Land Surface Albedo over the Tibet Plateau from 2001 to 2019 |
title_sort |
spatiotemporal variability of land surface albedo over the tibet plateau from 2001 to 2019 |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2020-04-01 |
description |
As an essential climate variable (ECV), land surface albedo plays an important role in the Earth surface radiation budget and regional or global climate change. The Tibetan Plateau (TP) is a sensitive environment to climate change, and understanding its albedo seasonal and inter-annual variations is thus important to help capture the climate change rules. In this paper, we analyzed the large-scale spatial patterns, temporal trends, and seasonal variability of land surface albedo overall the TP, based on the moderate resolution imaging spectroradiometer (MODIS) MCD43 albedo products from 2001 to 2019. Specifically, we assessed the correlations between the albedo anomaly and the anomalies of normalized difference vegetation index (NDVI), the fraction of snow cover (snow cover), and land surface temperature (LST). The results show that there are larger albedo variations distributed in the mountainous terrain of the TP. Approximately 10.06% of the land surface is identified to have been influenced by the significant albedo variation from the year 2001 to 2019. The yearly averaged albedo was decreased significantly at a rate of 0.0007 (Sen’s slope) over the TP. Additionally, the yearly average snow cover was decreased at a rate of 0.0756. However, the yearly average NDVI and LST were increased with slopes of 0.0004 and 0.0253 over the TP, respectively. The relative radiative forcing (RRF) caused by the land cover change (LCC) is larger than that caused by gradual albedo variation in steady land cover types. Overall, the RRF due to gradual albedo variation varied from 0.0005 to 0.0170 W/m<sup>2</sup>, and the RRF due to LCC variation varied from 0.0037 to 0.0243 W/m<sup>2</sup> during the years 2001 to 2019. The positive RRF caused by gradual albedo variation or the LCC can strengthen the warming effects in the TP. The impact of the gradual albedo variations occurring in the steady land cover types was very low between 2001 and 2019 because the time series was short, and it therefore cannot be neglected when examining radiative forcing for a long time series regarding climate change. |
topic |
land surface albedo Tibetan Plateau inter-annual variations MODIS NDVI snow cover |
url |
https://www.mdpi.com/2072-4292/12/7/1188 |
work_keys_str_mv |
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