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Spatio-temporal variation of land surface temperature and temperature lapse rate over mountainous Kashmir Himalaya

机译:克什米尔喜马拉雅山山区地表温度和温度下降率的时空变化

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摘要

In this study,Land Surface Temperature (LST) and its lapse rate over the mountainous Kashmir Himalaya was estimated using MODIS data and correlated with the observed in-situ air temperature (Tair) data.Comparison between the MODIS LST and Tair showed a close agreement with the maximum error of the estimate ±1℃ and the correlation coefficient >0.90.Analysis of the LST data from 2002-2012 showed an increasing trend at all the selected locations except at a site located in the southeastern part of Kashmir valley.Using the GTOPO30 DEM,MODIS LST data was used to estimate the actual temperature lapse rate (ATLR) along various transects across Kashmir Himalaya,which showed significant variations in space and time ranging from 0.3℃ to 1.2℃ per 100 m altitude change.This observation is at variance with the standard temperature lapse rate (STLR) of 0.65℃ used universally in most of the hydrological and other land surface models.Snowmelt Runoff Model (SRM) was used to determine the efficacy of using the ATLR for simulating the stream flows in one of the glaciated and snow-covered watersheds in Kashmir.The use of ATLR in the SRM model improved the R2 between the observed and predicted streamflows from 0.92 to 0.97.It is hoped that the operational use of satellite-derived LST and ATLR shall improve the understanding and quantification of various processes related to climate,hydrology and ecosystem in the mountainous and data-scarce Himalaya where the use of temperature and ATLR are critical parameters for understanding various land surface and climate processes.
机译:在这项研究中,利用MODIS数据估算了地表温度(LST)及其在克什米尔喜马拉雅山上的流逝速率,并将其与实测空气温度(Tair)数据相关联.MODIS LST与Tair之间的比较显示出紧密的一致性估计的最大误差为±1℃,相关系数> 0.90。对2002年至2012年LST数据的分析表明,除克什米尔山谷东南部的一个地点外,所有选定地点的LST数据均呈上升趋势。 GTOPO30 DEM,MODIS LST数据用于估计整个克什米尔喜马拉雅山各样断面的实际温度下降率(ATLR),表明每100 m高度变化的时空变化范围从0.3℃到1.2℃不等。在大多数水文模型和其他陆地表面模型中普遍使用的0.65℃标准温度下降率(STLR)的差异。使用融雪径流模型(SRM)来确定我们的有效性为了模拟喀什米尔冰川和积雪集水区之一中的水流,在SRM模型中使用ATLR可以将观测到的和预计的水流之间的R2从0.92提高到0.97。源自卫星的LST和ATLR将改善对山区和数据稀缺的喜马拉雅山与气候,水文和生态系统有关的各种过程的理解和量化,在这些喜马拉雅山中,使用温度和ATLR是了解各种陆地表面和气候过程的关键参数。

著录项

  • 来源
    《山地科学学报(英文版)》 |2018年第3期|563-576|共14页
  • 作者单位

    Department of Earth Sciences, University of Kashmir, Hazatrabal-Srinagar, 190006, Jammu and Kashmir, India;

    Department of Earth Sciences, University of Kashmir, Hazatrabal-Srinagar, 190006, Jammu and Kashmir, India;

    Department of Earth Sciences, University of Kashmir, Hazatrabal-Srinagar, 190006, Jammu and Kashmir, India;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
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