Developing a New Parameterization Scheme of Temperature Lapse Rate for the Hydrological Simulation in a Glacierized Basin Based on Remote Sensing

Temperature lapse rate (TLR) is an important parameter for simulations of snow/glacier melts in alpine watersheds. However, the traditional scheme estimates TLR mainly based on a limited number of stations and may not be suitable for alpine watersheds with scarce observations. To overcome this probl...

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Main Authors: Wanying Song, Handuo Tang, Xueyan Sun, Yuxuan Xiang, Xiaofei Ma, Hongbo Zhang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/19/4973
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author Wanying Song
Handuo Tang
Xueyan Sun
Yuxuan Xiang
Xiaofei Ma
Hongbo Zhang
author_facet Wanying Song
Handuo Tang
Xueyan Sun
Yuxuan Xiang
Xiaofei Ma
Hongbo Zhang
author_sort Wanying Song
collection DOAJ
description Temperature lapse rate (TLR) is an important parameter for simulations of snow/glacier melts in alpine watersheds. However, the traditional scheme estimates TLR mainly based on a limited number of stations and may not be suitable for alpine watersheds with scarce observations. To overcome this problem, this study developed a new basin-oriented TLR scheme based on Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature data which was applied in a typical glacierized watershed on the northern slope of the Himalayas. The new TLR scheme was evaluated by comparison with the station-based traditional TLR scheme in terms of performance in simulations of both snow cover area and runoff using the same hydrological model. The results showed that the monthly TLRs estimated by the new scheme presented a more reasonable seasonal pattern than those estimated by the traditional scheme. The model using the new TLR scheme showed better performance in discharge simulations of low-runoff months than that using the traditional TLR scheme. The R-squared value of multiyear mean monthly snow cover area of the former (0.82) was also higher than that of the latter (0.56). This study provides an efficient framework for estimating TLR based on remote sensing for alpine watersheds with scarce observations.
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spelling doaj.art-a9ea71c4db744d77835f6a09a1b5cc392023-11-23T21:41:46ZengMDPI AGRemote Sensing2072-42922022-10-011419497310.3390/rs14194973Developing a New Parameterization Scheme of Temperature Lapse Rate for the Hydrological Simulation in a Glacierized Basin Based on Remote SensingWanying Song0Handuo Tang1Xueyan Sun2Yuxuan Xiang3Xiaofei Ma4Hongbo Zhang5College of Water Resources & Civil Engineering, China Agricultural University, Beijing 100107, ChinaState Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, ChinaYantai Research Institute, China Agricultural University, Yantai 264032, ChinaState Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaCollege of Water Resources & Civil Engineering, China Agricultural University, Beijing 100107, ChinaTemperature lapse rate (TLR) is an important parameter for simulations of snow/glacier melts in alpine watersheds. However, the traditional scheme estimates TLR mainly based on a limited number of stations and may not be suitable for alpine watersheds with scarce observations. To overcome this problem, this study developed a new basin-oriented TLR scheme based on Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature data which was applied in a typical glacierized watershed on the northern slope of the Himalayas. The new TLR scheme was evaluated by comparison with the station-based traditional TLR scheme in terms of performance in simulations of both snow cover area and runoff using the same hydrological model. The results showed that the monthly TLRs estimated by the new scheme presented a more reasonable seasonal pattern than those estimated by the traditional scheme. The model using the new TLR scheme showed better performance in discharge simulations of low-runoff months than that using the traditional TLR scheme. The R-squared value of multiyear mean monthly snow cover area of the former (0.82) was also higher than that of the latter (0.56). This study provides an efficient framework for estimating TLR based on remote sensing for alpine watersheds with scarce observations.https://www.mdpi.com/2072-4292/14/19/4973temperature lapse ratesnow cover simulationglacier-melt runoffsnowmelt runoffTibetan Plateau
spellingShingle Wanying Song
Handuo Tang
Xueyan Sun
Yuxuan Xiang
Xiaofei Ma
Hongbo Zhang
Developing a New Parameterization Scheme of Temperature Lapse Rate for the Hydrological Simulation in a Glacierized Basin Based on Remote Sensing
Remote Sensing
temperature lapse rate
snow cover simulation
glacier-melt runoff
snowmelt runoff
Tibetan Plateau
title Developing a New Parameterization Scheme of Temperature Lapse Rate for the Hydrological Simulation in a Glacierized Basin Based on Remote Sensing
title_full Developing a New Parameterization Scheme of Temperature Lapse Rate for the Hydrological Simulation in a Glacierized Basin Based on Remote Sensing
title_fullStr Developing a New Parameterization Scheme of Temperature Lapse Rate for the Hydrological Simulation in a Glacierized Basin Based on Remote Sensing
title_full_unstemmed Developing a New Parameterization Scheme of Temperature Lapse Rate for the Hydrological Simulation in a Glacierized Basin Based on Remote Sensing
title_short Developing a New Parameterization Scheme of Temperature Lapse Rate for the Hydrological Simulation in a Glacierized Basin Based on Remote Sensing
title_sort developing a new parameterization scheme of temperature lapse rate for the hydrological simulation in a glacierized basin based on remote sensing
topic temperature lapse rate
snow cover simulation
glacier-melt runoff
snowmelt runoff
Tibetan Plateau
url https://www.mdpi.com/2072-4292/14/19/4973
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