Investigating Relationship Between Soil Moisture and Precipitation Globally Using Remote Sensing Observations

IF 0.9 Q4 WATER RESOURCES
Robin Sehler, Jingjing Li, JT Reager, Hengchun Ye
{"title":"Investigating Relationship Between Soil Moisture and Precipitation Globally Using Remote Sensing Observations","authors":"Robin Sehler,&nbsp;Jingjing Li,&nbsp;JT Reager,&nbsp;Hengchun Ye","doi":"10.1111/j.1936-704X.2019.03324.x","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>The complex relationship between precipitation and soil moisture plays a critical role in land surface hydrology. Traditionally, the analysis of this relationship is restricted by the spatial coverage of both soil moisture and precipitation data that are collected through in-situ observations at limited locations. In this study, we utilized the National Aeronautics and Space Administration (NASA)’s remote sensing products of soil moisture (SMAP: Soil Moisture Active Passive) and precipitation (TRMM: Tropical Rainfall Measuring Mission), which provide near-global coverage, to investigate the co-variation of precipitation and soil moisture regionally, as a function of ecosystem types and climate regimes. We apply information on land cover and climate regimes to provide insight about correlation strength of soil moisture and precipitation. The results indicate that most of the globe has a moderate to strong positive correlation of SMAP soil moisture and TRMM precipitation data during the study period. In relation to land cover, soil moisture and precipitation have the strongest correlations in regions of limited vegetation, whereas forests and densely vegetated regions have weaker correlations. As for climate regimes, they have the strongest correlations in arid or cold regions, and weaker correlations in humid, temperate locations. While remotely sensed soil moisture data are less reliable in dense vegetation, these results confirm that drier, less vegetated climates show a highly linear relationship between soil moisture and rainfall.</p>\n </div>","PeriodicalId":45920,"journal":{"name":"Journal of Contemporary Water Research & Education","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2020-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/j.1936-704X.2019.03324.x","citationCount":"57","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Contemporary Water Research & Education","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/j.1936-704X.2019.03324.x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 57

Abstract

The complex relationship between precipitation and soil moisture plays a critical role in land surface hydrology. Traditionally, the analysis of this relationship is restricted by the spatial coverage of both soil moisture and precipitation data that are collected through in-situ observations at limited locations. In this study, we utilized the National Aeronautics and Space Administration (NASA)’s remote sensing products of soil moisture (SMAP: Soil Moisture Active Passive) and precipitation (TRMM: Tropical Rainfall Measuring Mission), which provide near-global coverage, to investigate the co-variation of precipitation and soil moisture regionally, as a function of ecosystem types and climate regimes. We apply information on land cover and climate regimes to provide insight about correlation strength of soil moisture and precipitation. The results indicate that most of the globe has a moderate to strong positive correlation of SMAP soil moisture and TRMM precipitation data during the study period. In relation to land cover, soil moisture and precipitation have the strongest correlations in regions of limited vegetation, whereas forests and densely vegetated regions have weaker correlations. As for climate regimes, they have the strongest correlations in arid or cold regions, and weaker correlations in humid, temperate locations. While remotely sensed soil moisture data are less reliable in dense vegetation, these results confirm that drier, less vegetated climates show a highly linear relationship between soil moisture and rainfall.

Abstract Image

基于遥感观测的全球土壤水分与降水关系研究
降水和土壤水分之间的复杂关系在地表水文中起着至关重要的作用。传统上,这种关系的分析受到土壤湿度和降水数据的空间覆盖率的限制,这些数据是通过在有限位置进行现场观测收集的。在这项研究中,我们利用美国国家航空航天局(NASA)的土壤湿度遥感产品(SMAP:土壤湿度主动-被动)和降水遥感产品(TRMM:热带降雨测量任务),提供了接近全球的覆盖范围,以调查降水和土壤湿度在区域内的共同变化,作为生态系统类型和气候制度的函数。我们应用土地覆盖和气候状况的信息来深入了解土壤水分和降水的相关性强度。结果表明,在研究期间,全球大部分地区的SMAP土壤湿度和TRMM降水数据具有中等到强烈的正相关关系。就土地覆盖而言,在植被有限的地区,土壤水分和降水的相关性最强,而森林和植被茂密的地区的相关性较弱。至于气候状况,它们在干旱或寒冷地区的相关性最强,在潮湿、温带地区的相关性较弱。虽然遥感土壤湿度数据在茂密的植被中不太可靠,但这些结果证实,更干燥、植被较少的气候显示出土壤湿度和降雨量之间的高度线性关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
9
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信