CCPortal
DOI10.1016/j.atmosres.2018.12.025
Analyzing the ability to reconstruct the moisture field using commercial microwave network data
David N.; Sendik O.; Rubin Y.; Messer H.; Gao H.O.; Rostkier-Edelstein D.; Alpert P.
发表日期2019
ISSN0169-8095
起始页码213
结束页码222
卷号219
英文摘要The atmospheric greenhouse effect and the hydrological cycle of Earth are key components enabling the planet to support life. Water vapor is a central element in both of these, accounting for approximately half of the present day greenhouse effect, and comprising the most important gaseous source of atmospheric infrared opacity. Specifically, it functions as the fuel for the development of convective storm clouds. This parameter, however, is considered one of the least studied due to the limitations of conventional monitoring instruments. The current predominate monitoring tools are humidity gauges and satellites which suffer from a lack of spatial representativeness and difficulties in measuring at ground level altitudes, respectively. This study demonstrates the potential to reconstruct the 2-Dimensional humidity field using commercial microwave links which form the infrastructure for data transmission in cellular networks. Water vapor attenuates the waves transmitted by the system and thus these microwave links can potentially form as a virtual network for monitoring the humidity field. The results show a correlation of between 0.79 and 0.93 with root mean square differences ranging from 1.78 to 2.92 g/m 3 between conventional humidity gauges and the humidity estimates calculated for the same points in space by the proposed technology. The results obtained are the first to point out the improved performance of humidity measurements when using data from multiple microwave links. These outcomes indicate the tremendous potential of this novel approach for improving the initialization of meteorological forecasting models thus potentially improving the ability to cope with the dangers associated with extreme weather. © 2018
语种英语
scopus关键词Earth (planet); Gages; Greenhouse effect; Greenhouses; Microwave links; Microwaves; Water vapor; Atmospheric greenhouse; Convective storms; Conventional monitoring; Forecasting models; Humidity measurements; Hydrological cycles; Microwave networks; Root mean square differences; Atmospheric humidity; atmospheric moisture; correlation; data transmission; humidity; microwave imagery; monitoring; reconstruction; water vapor; wave attenuation
来源期刊Atmospheric Research
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/162046
作者单位Institute of Industrial Science, The University of Tokyo, Tokyo, Japan; The School of Computer Science, Tel Aviv University, Tel Aviv, Israel; The School of Geosciences, Department of Geophysics, Tel Aviv University, Tel Aviv, Israel; The School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel; The School of Civil and Environmental Engineering, Cornell University, Ithaca, NY, United States; Department of Applied Mathematics, the Environmental Sciences Division, Israel Institute for Biological Research, Ness-Ziona, Israel
推荐引用方式
GB/T 7714
David N.,Sendik O.,Rubin Y.,et al. Analyzing the ability to reconstruct the moisture field using commercial microwave network data[J],2019,219.
APA David N..,Sendik O..,Rubin Y..,Messer H..,Gao H.O..,...&Alpert P..(2019).Analyzing the ability to reconstruct the moisture field using commercial microwave network data.Atmospheric Research,219.
MLA David N.,et al."Analyzing the ability to reconstruct the moisture field using commercial microwave network data".Atmospheric Research 219(2019).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[David N.]的文章
[Sendik O.]的文章
[Rubin Y.]的文章
百度学术
百度学术中相似的文章
[David N.]的文章
[Sendik O.]的文章
[Rubin Y.]的文章
必应学术
必应学术中相似的文章
[David N.]的文章
[Sendik O.]的文章
[Rubin Y.]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。