Mitigating atmospheric effects in InSAR measurements through high-resolution data assimilation and numerical simulations with a weather prediction model-Reference-Cited by-同舟云学术

Mitigating atmospheric effects in InSAR measurements through high-resolution data assimilation and numerical simulations with a weather prediction model

Published:2015-04-18 Issue:8 Volume:36 Page:2129-2147
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Yun Ye¹²,Zeng Qiming¹,Green Benjamin W.²,Zhang Fuqing²

Affiliation:

1. Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China

2. Department of Meteorology, The Pennsylvania State University, University Park, Pennsylvania, USA

Funder

National Natural Science Foundation of China

National Science and Technology Support Program of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2015.1034894

Reference33 articles.

1. Impact of data assimilation in simulation of thunderstorm (squall line) event over Bangladesh using WRF model, during SAARC–STORM Pilot Field Experiment 2011

2. A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results

3. GPS meteorology: Remote sensing of atmospheric water vapor using the global positioning system

4. Estimating wet delays using numerical weather analyses and predictions

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