Journal Articles (Peer-reviewed)

  1. [19]. Ruiz, J., G.-Y. Lien, K. Kondo, S. Otsuka, and T. Miyoshi, 2021: Reduced non-Gaussianity by 30-second rapid update in convective-scale numerical weather prediction. Nonlin. Processes Geophys.. (Accepted)
  2. [18]. Lien, G.-Y., C.-H. Lin, Z.-M. Huang, W.-H. Teng, J.-H. Chen, C.-C. Lin, H.-H. Ho, J.-Y. Huang, J.-S. Hong, C.-P. Cheng, and C.-Y. Huang, 2021: Assimilation impact of early FORMOSAT-7/COSMIC-2 GNSS radio occultation data with Taiwan's CWB Global Forecast System. Mon. Wea. Rev., 149, 2171–2191. doi:10.1175/MWR-D-20-0267.1
  3. [17]. Lin, Y.-F., C.-C. Wu, T.-H. Yen, Y.-H. Huang, and G.-Y. Lien, 2020: Typhoon Fanapi (2010) and its interaction with Taiwan terrain - Evaluation of the uncertainty in track, intensity and rainfall simulations. J. Meteor. Soc. Japan, 98, 93–113. doi:10.2151/jmsj.2020-006
  4. [16]. Necker, T., S. Geiss, M. Weissmann, J. Ruiz, T. Miyoshi, and G.-Y. Lien, 2020: A convective-scale 1000-member ensemble simulation and potential applications. Q. J. R. Meteorol. Soc., 146, 1423–1442. doi:10.1002/qj.3744
  5. [15]. Chang, Y.-P., S.-C. Yang, K.-J. Lin, G.-Y. Lien, and C.-M. Wu, 2020: Impact of tropical cyclone initialization on its convection development and intensity: A case study of Typhoon Megi (2010). J. Atmos. Sci., 77, 443–464. doi:10.1175/JAS-D-19-0058.1
  6. [14]. Lien, G.-Y., D. Hotta, E. Kalnay, T. Miyoshi, and T.-C. Chen, 2018: Accelerating assimilation development for new observing systems using EFSO. Nonlin. Processes Geophys., 25, 129–143. doi:10.5194/npg-25-129-2018
  7. [13]. Honda, T., S. Kotsuki, G.-Y. Lien, Y. Maejima, K. Okamoto, and T. Miyoshi, 2018b: Assimilation of Himawari-8 all-sky radiances every 10 minutes: Impact on precipitation and flood risk prediction. J. Geophys. Res. Atmos., 123, 965–976. doi:10.1002/2017JD027096
  8. [12]. Honda, T., T. Miyoshi, G.-Y. Lien, S. Nishizawa, R. Yoshida, S. A. Adachi, K. Terasaki, K. Okamoto, H. Tomita, and K. Bessho, 2018a: Assimilating all-sky Himawari-8 satellite infrared radiances: A case of Typhoon Soudelor (2015). Mon. Wea. Rev., 146, 213–229. doi:10.1175/MWR-D-16-0357.1
  9. [11]. Liao, J., B. Gerofi, G.-Y. Lien, T. Miyoshi, S. Nishizawa, H. Tomita, W.-K. Liao, A. Choudhary, and Y. Ishikawa, 2017: A flexible I/O arbitration framework for netCDF-based big data processing workflows on high-end supercomputers. Concurrency Computat.: Pract. Exper., 29, e4161. doi:10.1002/cpe.4161
  10. [10]. Kotsuki, S., T. Miyoshi, K. Terasaki, G.-Y. Lien, and E. Kalnay, 2017: Assimilating the Global Satellite Mapping of Precipitation data with the Nonhydrostatic Icosahedral Atmospheric Model NICAM. J. Geophys. Res. Atmos., 122, 631–650. doi:10.1002/2016JD025355
  11. [9]. Lien, G.-Y., T. Miyoshi, S. Nishizawa, R. Yoshida, H. Yashiro, S. A. Adachi, T. Yamaura, and H. Tomita, 2017: The near-real-time SCALE-LETKF system: A case of the September 2015 Kanto-Tohoku heavy rainfall. SOLA, 13, 1–6. doi:10.2151/sola.2017-001
  12. [8]. Miyoshi, T., G.-Y. Lien, and Coauthors, 2016b: “Big Data Assimilation” toward post-peta-scale severe weather prediction. P. IEEE, 104, 2155–2179. doi:10.1109/JPROC.2016.2602560
  13. [7]. Miyoshi, T., M. Kunii, J. Ruiz, G.-Y. Lien, S. Satoh, T. Ushio, K. Bessho, H. Seko, H. Tomita, and Y. Ishikawa, 2016a: “Big Data Assimilation” revolutionizing severe weather prediction. Bull. Amer. Meteor. Soc., 97, 1347–1354. doi:10.1175/BAMS-D-15-00144.1
  14. [6]. Lien, G.-Y., T. Miyoshi, and E. Kalnay, 2016b: Assimilation of TRMM Multisatellite Precipitation Analysis with a low-resolution NCEP Global Forecast System. Mon. Wea. Rev., 144, 643–661. doi:10.1175/MWR-D-15-0149.1
  15. [5]. Lien, G.-Y., E. Kalnay, T. Miyoshi, and G. J. Huffman, 2016a: Statistical properties of global precipitation in the NCEP GFS model and TMPA observations for data assimilation. Mon. Wea. Rev., 144, 663–679. doi:10.1175/MWR-D-15-0150.1
  16. [4]. Lien, G.-Y., E. Kalnay, and T. Miyoshi, 2013: Effective assimilation of global precipitation: Simulation experiments. Tellus A, 65, 19915. doi:10.3402/tellusa.v65i0.19915
  17. [3]. Wu, C.-C., Y.-H. Huang, and G.-Y. Lien, 2012: Concentric eyewall formation in Typhoon Sinlaku (2008). Part I: Assimilation of T-PARC data based on the ensemble Kalman filter (EnKF). Mon. Wea. Rev., 140, 506–527. doi:10.1175/MWR-D-11-00057.1
  18. [2]. Yen, T.-H., C.-C. Wu, and G.-Y. Lien, 2011: Rainfall simulations of Typhoon Morakot with controlled translation speed based on EnKF data assimilation. Terr. Atmos. Ocean. Sci., 22, 647–660. doi:10.3319/TAO.2011.07.05.01(TM)
  19. [1]. Wu, C.-C., G.-Y. Lien, J.-H. Chen, and F. Zhang, 2010: Assimilation of tropical cyclone track and structure based on the Ensemble Kalman Filter (EnKF). J. Atmos. Sci., 67, 3806–3822. doi:10.1175/2010JAS3444.1

[ Google Scholar Citation Page ]

Presentations (Selected)

  1. [19]. Lien, G.-Y., C.-H. Lin, Z.-M. Huang, W.-H. Teng, J.-H. Chen, C.-C. Lin, H.-H. Ho, J.-Y. Huang, 2020: Assimilation of FORMOSAT-7/COSMIC-2 GNSS radio occultation data with the global NWP system at Central Weather Bureau. 5th Intl. Conf. on GPS Radio Occultation, Hsinchu, Taiwan, AB033. [Available online]
  2. [18]. Lien, G.-Y., C.-H. Lin, Z.-M. Huang, W.-H. Teng, T.-Y. Lin, J.-H. Chen, and Taiwan Analysis Center for COSMIC (TACC), 2019: Assimilation of early FORMOSAT-7/COSMIC-2 GNSS radio occultation data with the global NWP system at Central Weather Bureau (CWB). AGU Fall Meeting 2019, San Francisco, LA, USA, Amer. Geophys. Union, G21B-0727. [Available online; Poster PDF]
  3. [17]. Lien, G.-Y., S. Nishizawa, and Coauthors, 2018: The computational aspect of the SCLAE-LETKF data assimilation system for rapid-update-cycle, high-resolution radar data assimilation. Japan Geosci. Union Meeting 2018, Makuhari, Japan. [Available online; Poster PDF]
  4. [16]. Lien, G.-Y. and T. Miyoshi, 2018: Issues regarding maintaining ensemble spreads, balance, and high-resolution information in rapid-update-cycle radar data assimilation with the LETKF. Japan Geosci. Union Meeting 2018, Makuhari, Japan. [Available online]
  5. [15]. Lien, G.-Y., J. Ruiz, and T. Miyoshi, 2017: 30-second-cycle LETKF assimilation of phased array weather radar data. Seventh WMO Symp. on Data Assimilation, Florianopolis, Brazil, World Meteor. Organization. [Available online]
  6. [14]. Lien, G.-Y., T. Miyoshi, and J. Ruiz, 2017: 30-second-cycle LETKF assimilation of phased array weather radar data. JpGU-AGU Joint Meeting 2017, Makuhari, Japan. [Available online]
  7. [13]. Lien, G.-Y. and T. Miyoshi, 2017: Implicit thinning and localization of dense observation data in the LETKF: A case of phased array weather radar. RIKEN Intl. Symp. on Data Assimilation 2017, Kobe, Japan. [Available online]
  8. [12]. Lien, G.-Y., T. Miyoshi, S. Nishizawa, R. Yoshida, H. Yashiro, and H. Tomita, 2016: Radar data assimilation at sub-kilometer scales. The 7th EnKF Data Assimilation Workshop, State College, PA, USA. [Available online]
  9. [11]. Lien, G.-Y., T. Miyoshi, S. Nishizawa, R. Yoshida, H. Yashiro, T. Honda, and H. Tomita, 2016: Issues regarding the high-performance computing associated with the rapid-update-cycle ensemble data assimilation. Japan Geosci. Union Meeting 2016, Makuhari, Japan. [Available online]
  10. [10]. Lien, G.-Y., T. Miyoshi, S. Nishizawa, R. Yoshida, H. Yashiro, S. Adachi, and H. Tomita, 2015: The SCALE-LETKF system and its early applications. RIKEN-UMD Data Assimilation Conf. 2015, College Park, MD, USA.
  11. [9]. Lien, G.-Y., T. Miyoshi, S. Nishizawa, H. Yashiro, R. Yoshida, and H. Tomita, 2015: Ensemble data assimilation for a large parallel numerical weather prediction model: Development of the SCALE-LETKF system. The 5th AICS Intl. Symp., Kobe, Japan. [Poster PDF]
  12. [8]. Lien, G.-Y., E. Kalnay, and T. Miyoshi, 2014: Ensemble assimilation of global large-scale precipitation. AOGS 11th Annual Meeting, Sapporo, Japan, Asia Oceania Geosciences Society, AS29-A024.
  13. [7]. Lien, G.-Y., E. Kalnay, and T. Miyoshi, 2014: The statistical characteristics of the precipitation variable in a global model and satellite observations from the point of view of ensemble data assimilation. 18th Conf. on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface, Atlanta, GA, USA, Amer. Meteor. Soc., 11.2. [Available online]
  14. [6]. Lien, G.-Y., E. Kalnay, and T. Miyoshi, 2013: Local ensemble transform kalman filter assimilation of precipitation with the NCEP Global Forecasting System. Sixth WMO Symp. on Data Assimilation, College Park, MD, USA, World Meteor. Organization, G-p24. [Available online; Poster PDF]
  15. [5]. Lien, G.-Y., E. Kalnay, and T. Miyoshi, 2013: Local ensemble transform Kalman filter experiments with the NCEP global numerical weather prediction model. The 3rd AICS Intl. Symp., Kobe, Japan. [Poster PDF]
  16. [4]. Lien, G.-Y., E. Kalnay, and T. Miyoshi, 2013: Effective assimilation of global precipitation: Simulation experiments. Extended Abstracts, 17th Conf. on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface, Austin, TX, USA, Amer. Meteor. Soc., 9.2. [Available online]
  17. [3]. Lien, G.-Y., E. Kalnay, and T. Miyoshi, 2012: Ensemble Kalman filter assimilation of precipitation with a simplified AGCM. The 5th EnKF Workshop, Rensselaerville, NY, USA. [Poster PDF]
  18. [2]. Wu, C.-C., G.-Y. Lien, J.-H. Chen, and Y.-H. Huang, 2010: Concentric eyewall formation in Typhoon Sinlaku (2008)—Part I: Assimilation of T-PARC data based on the ensemble Kalman filter (EnKF). 29th Conf. on Hurricanes and Tropical Meteorology, Tucson, AZ, USA, Amer. Meteor. Soc., 10B.2. [Available online]
  19. [1]. Lien, G.-Y., C.-C. Wu, J.-H. Chen, and F. Zhang, 2010: Assimilation of tropical cyclone track and structure based on the ensemble Kalman filter (EnKF). 29th Conf. on Hurricanes and Tropical Meteorology, Tucson, AZ, USA, Amer. Meteor. Soc., 11C.5. [Available online]