ASSIMILATION OF INSAR PROPAGATION DELAY MAPS IN HIGH-RESOLUTION NUMERICAL WEATHER MODEL: IMAGING OF WATER VAPOR STRUCTURES IN ATMOSPHERE
被引:0
|
作者:
Mateus, Pedro
论文数: 0引用数: 0
h-index: 0
机构:
Univ Lisbon, Fac Ciencias, IDL, Lisbon, PortugalUniv Lisbon, Fac Ciencias, IDL, Lisbon, Portugal
Mateus, Pedro
[1
]
Nico, Giovanni
论文数: 0引用数: 0
h-index: 0
机构:
CNR, Ist Applicaz Calcolo, Bari, ItalyUniv Lisbon, Fac Ciencias, IDL, Lisbon, Portugal
Nico, Giovanni
[2
]
Catalao, Joao
论文数: 0引用数: 0
h-index: 0
机构:
Univ Lisbon, Fac Ciencias, IDL, Lisbon, PortugalUniv Lisbon, Fac Ciencias, IDL, Lisbon, Portugal
Catalao, Joao
[1
]
机构:
[1] Univ Lisbon, Fac Ciencias, IDL, Lisbon, Portugal
[2] CNR, Ist Applicaz Calcolo, Bari, Italy
来源:
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
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2018年
关键词:
SAR interferometry;
Sentinel-1;
Atmosphere propagation delay;
Water Vapor;
Numerical Weather Model;
SAR INTERFEROMETRY;
GPS;
D O I:
暂无
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
In this work we present a methodology to estimate the 3D distribution of water vapor in atmosphere based on the use of SAR interferometry (InSAR) and Sentinel-1 data. Maps of propagation delay in atmosphere are assimilated in a high resolution Numerical Weather Model to enhance the forecast of atmosphere parameters. These are used to compute the atmosphere refractivity. Furthermore, 3D maps of hydrometers in atmosphere are derived after the assimilation of InSAR data. Both refractivity and hydrometeors maps are used to map 3D Water vapor patterns in atmosphere. Examples of InSAR signatures of water vapor in atmosphere are shown. We show how the 3D maps liquid refractivity and hydrometeors can be a useful tool to map moisture in atmosphere in case of convective phenomena in atmosphere.