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

References

• Ahasan, M. N., and S. K. Debsarma. 2015. “Impact of Data Assimilation in Simulation of Thunderstorm (Squall Line) Event over Bangladesh Using WRF Model, during SAARC-STORM Pilot Field Experiment 2011.” Natural Hazards 75 (2): 1009–1022. doi:10.1007/s11069-014-1369-z.
   Web of Science ®Google Scholar
• Barker, D. M., W. Huang, Y.-R. Guo, A. Bourgeois, and Q. Xiao. 2004. “A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results.” Monthly Weather Review 132 (4): 897–914. doi:10.1175/1520-0493(2004)132<0897:ATVDAS>2.0.CO;2.
   Web of Science ®Google Scholar
• Bean, B. R., and E. Dutton. 1968. Radio Meteorology. Vol. 435. New York: Dover Publications.
   Google Scholar
• Bevis, M., S. Businger, T. A. Herring, C. Rocken, R. A. Anthes, and R. H. Ware. 1992. “GPS Meteorology: Remote Sensing of Atmospheric Water Vapor Using the Global Positioning System.” Journal of Geophysical Research: Atmospheres 97 (D14): 15787–15801.
   Web of Science ®Google Scholar
• Bevis, M., S. Chiswell, S. Businger, T. A. Herring, and Y. Bock. 1996. “Estimating Wet Delays Using Numerical Weather Analyses and Predictions.” Radio Science 31 (3): 477–487. doi:10.1029/96RS00008.
   Web of Science ®Google Scholar
• Buckley, S. M., P. A. Rosen, S. Hensley, and B. D. Tapley. 2003. “Land Subsidence in Houston, Texas, Measured by Radar Interferometry and Constrained by Extensometers.” Journal of Geophysical Research: Solid Earth 108 (B11). doi:10.1029/2002JB001848.
   PubMed Web of Science ®Google Scholar
• Carvalho, D., A. Rocha, M. Gómez-Gesteira, and C. S. Santos. 2014. “Comparison of Reanalyzed, Analyzed, Satellite-Retrieved and NWP Modelled Winds with Buoy Data along the Iberian Peninsula Coast.” Remote Sensing of Environment 152: 480–492. doi:10.1016/j.rse.2014.07.017.
   Web of Science ®Google Scholar
• Chen, C. W., and H. A. Zebker. 2002. “Phase Unwrapping for Large SAR Interferograms: Statistical Segmentation and Generalized Network Models.” IEEE Transactions on Geoscience and Remote Sensing 40 (8): 1709–1719. doi:10.1109/TGRS.2002.802453.
   Web of Science ®Google Scholar
• Cui, X. A., Q. Zeng, C. Liang, J. Jiao, and Q. Tong. 2012. “Research of InSAR Atmospheric Correction Using WRF Model Simulated Result and MERIS Product.” In IGARSS 2012 International Geoscience and Remote Sensing Symposium, Munich, Germany.
   Google Scholar
• Ferretti, A., C. Prati, and F. Rocca. 2000. “Nonlinear Subsidence Rate Estimation Using Permanent Scatterers in Differential SAR Interferometry.” IEEE Transactions on Geoscience and Remote Sensing 38 (5): 2202–2212. doi:10.1109/36.868878.
   Web of Science ®Google Scholar
• Foster, J., B. Brooks, T. Cherubini, C. Shacat, S. Businger, and C. Werner. 2006. “Mitigating Atmospheric Noise for InSAR Using a High Resolution Weather Model.” Geophysical Research Letters 33 (16): L16304. doi:10.1029/2006GL026781.
   Web of Science ®Google Scholar
• Foster, J., J. Kealy, T. Cherubini, S. Businger, Z. Lu, and M. Murphy. 2013. “The Utility of Atmospheric Analyses for the Mitigation of Artifacts in InSAR.” Journal of Geophysical Research: Solid Earth 118: 748–758.
   Web of Science ®Google Scholar
• Gong, W., F. Meyer, P. Webley, and D. Morton. 2013. “Performance of the High‐Resolution Atmospheric Model HRRR‐AK for Correcting Geodetic Observations from Spaceborne Radars.” Journal of Geophysical Research: Atmospheres 118 (20): 11611–11624.
   PubMed Web of Science ®Google Scholar
• Hanssen, R. F. 2001. Radar Interferometry: Data Interpretation and Error Analysis. Vol. 2. New York: Springer.
   Google Scholar
• Hobiger, T., Y. Kinoshita, S. Shimizu, R. Ichikawa, M. Furuya, T. Kondo, and Y. Koyama. 2010. “On the Importance of Accurately Ray-Traced Troposphere Corrections for Interferometric SAR Data.” Journal of Geodesy 84 (9): 537–546. doi:10.1007/s00190-010-0393-3.
   Web of Science ®Google Scholar
• Hong, S.-Y., J. Dudhia, and S.-H. Chen. 2004. “A Revised Approach to Ice Microphysical Processes for the Bulk Parameterization of Clouds and Precipitation.” Monthly Weather Review 132 (1): 103–120. doi:10.1175/1520-0493(2004)132<0103:ARATIM>2.0.CO;2.
   Web of Science ®Google Scholar
• Huang, X.-Y., Q. Xiao, D. M. Barker, X. Zhang, J. Michalakes, W. Huang, T. Henderson, J. Bray, Y. Chen, Z. Ma, J. Dudhia, Y. Guo, X. Zhang, D.-J. Won, H.-C. Lin, and Y.-H. Kuo. 2009. “Four-Dimensional Variational Data Assimilation for WRF: Formulation and Preliminary Results.” Monthly Weather Review 137 (1): 299–314. doi:10.1175/2008MWR2577.1.
   Web of Science ®Google Scholar
• Kain, J. S. 2004. “The Kain–Fritsch Convective Parameterization: An Update.” Journal of Applied Meteorology 43 (1): 170–181. doi:10.1175/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2.
   Google Scholar
• Kalnay, E. 2003. Atmospheric Modeling, Data Assimilation, and Predictability. Cambridge: Cambridge University Press.
   Google Scholar
• Li, Z. 2004. “Production of Regional 1 Km X 1 Km Water Vapor Fields through the Integration of GPS and MODIS Data.” In The 17th International Technical Meeting of the Satellite Division of the Institute of Navigation ION GNSS, Long Beach, CA.
   Google Scholar
• Li, Z., E. J. Fielding, P. Cross, and J.-P. Muller. 2006. “Interferometric Synthetic Aperture Radar Atmospheric Correction: GPS Topography‐Dependent Turbulence Model.” Journal of Geophysical Research: Solid Earth 111 (B2). doi:10.1029/2005JB003711.
   PubMed Web of Science ®Google Scholar
• Li, Z., J. P. Muller, and P. Cross. 2003. “Comparison of Precipitable Water Vapor Derived from Radiosonde, GPS, and Moderate‐Resolution Imaging Spectroradiometer Measurements.” Journal of Geophysical Research: Atmospheres 108 (D20). doi:10.1029/2003JD003372.
   PubMed Web of Science ®Google Scholar
• Li, Z., J.-P. Muller, P. Cross, P. Albert, J. Fischer, and R. Bennartz. 2006c. “Assessment of the Potential of MERIS Near‐Infrared Water Vapour Products to Correct ASAR Interferometric Measurements.” International Journal of Remote Sensing 27 (2): 349–365. doi:10.1080/01431160500307342.
   Web of Science ®Google Scholar
• Li, Z., J. P. Muller, P. Cross, and E. J. Fielding. 2005. “Interferometric Synthetic Aperture Radar (InSAR) Atmospheric Correction: GPS, Moderate Resolution Imaging Spectroradiometer (MODIS), and InSAR Integration.” Journal of Geophysical Research: Solid Earth 110 (B3). doi:10.1029/2004JB003446.
   Web of Science ®Google Scholar
• Liu, S., R. Hanssen, and A. Mika. 2009. “On the Value of High-Resolution Weather Models for Atmospheric Mitigation in SAR Interferometry.” In IGARSS 2009 International Geoscience and Remote Sensing Symposium, Cape town, July 12–17.
   Google Scholar
• Mateus, P., G. Nico, R. Tomé, J. Catalão, and P. Miranda 2009. “Approaches to Mitigate Atmosphere Artefacts in SAR Interferograms: GPS Vs. WRF Model.” In Proceedings of Fringe 2009 Workshop, Frascati, November 30–December 4.
   Google Scholar
• Meng, Z., and F. Zhang. 2008. “Tests of an Ensemble Kalman Filter for Mesoscale and Regional-Scale Data Assimilation. Part III: Comparison with 3DVAR in a Real-Data Case Study.” Monthly Weather Review 136: 522–540. doi:10.1175/2007MWR2106.1.
   Web of Science ®Google Scholar
• National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000. “National Centers for Environmental Prediction, Updated Daily: NCEP FNL Operational Model Global Tropospheric Analyses, Continuing from July 1999.” Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory, Boulder, CO (Updated daily.). Accessed October 17, 2014. http://dx.doi.org/10.5065/D6M043C6
   Google Scholar
• National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2008. “NCEP ADP Global Upper Air and Surface Weather Observations (PREPBUFR format), May 1997 – Continuing.” Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory (Updated daily.). Accessed January 16, 2015. http://rda.ucar.edu/datasets/ds337.0/
   Google Scholar
• Niell, A. 2001. “Preliminary Evaluation of Atmospheric Mapping Functions Based on Numerical Weather Models.” Physics and Chemistry of the Earth, Part A: Solid Earth and Geodesy 26 (6–8): 475–480. doi:10.1016/S1464-1895(01)00087-4.
   Web of Science ®Google Scholar
• Puysségur, B., R. Michel, and J.-P. Avouac. 2007. “Tropospheric Phase Delay in Interferometric Synthetic Aperture Radar Estimated from Meteorological Model and Multispectral Imagery.” Journal of Geophysical Research: Solid Earth 112 (B5). doi:10.1029/2006JB004352.
   Web of Science ®Google Scholar
• Rosen, P. A., S. Hensley, G. Peltzer, and M. Simons. 2004. “Updated Repeat Orbit Interferometry Package Released.” Eos, Transactions American Geophysical Union 85 (5): 47–47. doi:10.1029/2004EO050004.
   Google Scholar
• Skamarock, W., J. Klemp, J. Dudhia, D. Gill, D. Barker, M. Duda, X. Huang, W. Wang, and J. Powers. 2008. “A Description of the Advanced Research WRF Version 3.” NCAR technical note NCAR/TN/u2013475+ STR.
   Google Scholar
• Talagrand, O. 1997. “Assimilation of Observations, an Introduction.” Journal of the Meteorological Society of Japan 75 (1B): 191–209.
   Web of Science ®Google Scholar
• Wadge, G., P. Webley, I. James, R. Bingley, A. Dodson, S. Waugh, T. Veneboer, G. Puglisi, M. Mattia, and D. Baker. 2002. “Atmospheric Models, GPS and InSAR Measurements of the Tropospheric Water Vapour Field over Mount Etna.” Geophysical Research Letters 29 (19): 11-1–11-4. doi:10.1029/2002GL015159.
   Web of Science ®Google Scholar
• Wadge, G., M. Zhu, R. Holley, I. James, P. Clark, C. Wang, and M. Woodage. 2010. “Correction of Atmospheric Delay Effects in Radar Interferometry Using a Nested Mesoscale Atmospheric Model.” Journal of Applied Geophysics 72 (2): 141–149. doi:10.1016/j.jappgeo.2010.08.005.
   Web of Science ®Google Scholar
• Williams, S., Y. Bock, and P. Fang. 1998. “Integrated Satellite Interferometry: Tropospheric Noise, GPS Estimates and Implications for Interferometric Synthetic Aperture Radar Products.” Journal of Geophysical Research: Solid Earth 103 (B11): 27051–27067.
   Web of Science ®Google Scholar
• Zebker, H. A., P. A. Rosen, and S. Hensley. 1997. “Atmospheric Effects in Interferometric Synthetic Aperture Radar Surface Deformation and Topographic Maps.” Journal of Geophysical Research 102 (B4): 7547–7563.
   Web of Science ®Google Scholar
• Zeng, Q., Y. Li, and X. Li. 2007. “Correction of Tropospheric Water Vapour Effect on ASAR Interferogram Using Synchronous MERIS Data.” In IGARSS 2007 International Geoscience and Remote Sensing Symposium, Barcelona, July 23–28.
   Google Scholar
• Zhang, F., M. Zhang, and J. Poterjoy. 2013. “E3dvar: Coupling an Ensemble Kalman Filter with Three-Dimensional Variational Data Assimilation in a Limited-Area Weather Prediction Model and Comparison to E4dvar.” Monthly Weather Review 141 (3): 900–917. doi:10.1175/MWR-D-12-00075.1.
   Web of Science ®Google Scholar
• Zhang, M., and F. Zhang. 2012. “E4dvar: Coupling an Ensemble Kalman Filter with Four-Dimensional Variational Data Assimilation in a Limited-Area Weather Prediction Model.” Monthly Weather Review 140 (2): 587–600. doi:10.1175/MWR-D-11-00023.1.
   Web of Science ®Google Scholar