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 [1 ]
Nico, Giovanni [2 ]
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 | 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.
引用
收藏
页码:1890 / 1893
页数:4
相关论文
共 6 条
  • [1] Mitigating atmospheric effects in InSAR measurements through high-resolution data assimilation and numerical simulations with a weather prediction model
    Yun, Ye
    Zeng, Qiming
    Green, Benjamin W.
    Zhang, Fuqing
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2015, 36 (08) : 2129 - 2147
  • [2] A Spatially Varying Scaling Method for InSAR Tropospheric Corrections Using a High-Resolution Weather Model
    Shen, Lin
    Hooper, Andrew
    Elliott, John
    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2019, 124 (04) : 4051 - 4068
  • [3] On the Potential of Improving WRF Model Forecasts by Assimilation of High-Resolution GPS-Derived Water-Vapor Maps Augmented with METEOSAT-11 Data
    Leontiev, Anton
    Rostkier-Edelstein, Dorita
    Reuveni, Yuval
    REMOTE SENSING, 2021, 13 (01) : 1 - 16
  • [4] A Synergistic Use of a High-Resolution Numerical Weather Prediction Model and High-Resolution Earth Observation Products to Improve Precipitation Forecast
    Lagasio, Martina
    Parodi, Antonio
    Pulvirenti, Luca, I
    Meroni, Agostino N.
    Boni, Giorgio
    Pierdicca, Nazzareno
    Marzano, Frank S.
    Luini, Lorenzo
    Venuti, Giovanna
    Realini, Eugenio
    Gatti, Andrea
    Tagliaferro, Giulio
    Barindelli, Stefano
    Guarnieri, Andrea Monti
    Goga, Klodiana
    Terzo, Olivier
    Rucci, Alessio
    Passera, Emanuele
    Kranzlmueller, Dieter
    Rommen, Bjorn
    REMOTE SENSING, 2019, 11 (20)
  • [5] Inclusion of high resolution MODIS maps on a 3D tropospheric water vapor GPS tomography model
    Benevides, Pedro
    Catalao, Joao
    Nico, Giovanni
    Miranda, Pedro M. A.
    REMOTE SENSING OF CLOUDS AND THE ATMOSPHERE XX, 2015, 9640
  • [6] Estimation of Local-Scale Precipitable Water Vapor Distribution Around Each GNSS Station Using Slant Path Delay: Evaluation of a Severe Tornado Case Using High-Resolution NHM
    Shoji, Yoshinori
    Mashiko, Wataru
    Yamauchi, Hiroshi
    Sato, Eiichi
    SOLA, 2015, 11 : 31 - 35