DOI: 10.1016/j.atmosres.2018.12.025
Scopus记录号: 2-s2.0-85059677173
论文题名: Analyzing the ability to reconstruct the moisture field using commercial microwave network data
作者: David N. ; Sendik O. ; Rubin Y. ; Messer H. ; Gao H.O. ; Rostkier-Edelstein D. ; Alpert P.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2019
卷: 219 起始页码: 213
结束页码: 222
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
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 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/122313
Appears in Collections: 气候变化事实与影响
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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
Recommended Citation:
David N.,Sendik O.,Rubin Y.,et al. Analyzing the ability to reconstruct the moisture field using commercial microwave network data[J]. Atmospheric Research,2019-01-01,219