Feasibility Study for Future Space-Borne Coherent Doppler Wind Lidar, Part 3: Impact Assessment Using Sensitivity Observing System Simulation Experiments
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Koji Yamashita | Shoken Ishii | Takuji Kubota | Philippe Baron | Toshiyuki Ishibashi | Kozo Okamoto | Kyoka Gamo | K. Yamashita | K. Okamoto | P. Baron | T. Kubota | Taichu Y. Tanaka | T. Ishibashi | S. Ishii | Kyoka Gamo | T. Tanaka | T. Tanaka
[1] L. Isaksen,et al. THE ATMOSPHERIC DYNAMICS MISSION FOR GLOBAL WIND FIELD MEASUREMENT , 2005 .
[2] L. Isaksen,et al. The assimilation of horizontal line‐of‐sight wind information into the ECMWF data assimilation and forecasting system. Part I: The assessment of wind impact , 2015 .
[3] Ad Stoffelen,et al. Simulation of wind profiles from a space‐borne Doppler wind lidar , 2003 .
[4] J. Thepaut,et al. The ERA‐Interim reanalysis: configuration and performance of the data assimilation system , 2011 .
[5] Riko Oki,et al. Feasibility Study for Future Space-Borne Coherent Doppler Wind Lidar, Part 1: Instrumental Overview for Global Wind Profile Observation , 2017 .
[6] Michiko Masutani,et al. Observation system simulation experiments for a global wind observing sounder , 2012 .
[7] Z. Pu,et al. LIDAR-MEASURED WIND PROFILES The Missing Link in the Global Observing System , 2014 .
[8] Ad Stoffelen,et al. Sensitivity Observing System Experiment (SOSE)-a new effective NWP-based tool in designing the global observing system , 2008 .
[9] Riko Oki,et al. Measurement Performance Assessment of Future Space-Borne Doppler Wind Lidar for Numerical Weather Prediction , 2016 .
[10] Ad Stoffelen,et al. Impact assessment of prospective spaceborne Doppler wind lidar observation scenarios , 2008 .
[11] Stephen J. Lord,et al. Observing system simulation experiments at the National Centers for Environmental Prediction , 2010 .
[12] 気象庁. Outline of the operational numerical weather prediction at the Japan Meteorological Agency , 1977 .
[13] C. Kobayashi,et al. The JRA-55 Reanalysis: General Specifications and Basic Characteristics , 2015 .
[14] Linearity aspects of the ensemble of data assimilations technique , 2015 .
[15] Ad Stoffelen,et al. A cycled sensitivity observing system experiment on simulated Doppler wind lidar data during the 1999 Christmas storm 'Martin' , 2008 .
[16] J. Affeldt,et al. The feasibility study , 2019, The Information System Consultant’s Handbook.
[17] Christopher K. Wikle,et al. Atmospheric Modeling, Data Assimilation, and Predictability , 2005, Technometrics.
[18] Chikako Takahashi,et al. Feasibility Study for Future Spaceborne Coherent Doppler Wind Lidar, Part 2: Measurement Simulation Algorithms and Retrieval Error Characterization , 2017 .
[19] Toshiyuki Ishibashi,et al. Observing system simulation experiments with multiple methods , 2014, Asia-Pacific Environmental Remote Sensing.
[20] Kazuki Shimoji. Motion tracking and cloud height assignment methods for Himawari-8 AMV , 2014 .
[21] Robert Atlas,et al. Atmospheric Observations and Experiments to Assess Their Usefulness in Data Assimilation , 1997 .
[22] H. Tsujino,et al. A New Global Climate Model of the Meteorological Research Institute: MRI-CGCM3 —Model Description and Basic Performance— , 2012 .
[23] Lars Isaksen,et al. Observing‐system impact assessment using a data assimilation ensemble technique: application to the ADM–Aeolus wind profiling mission , 2007 .
[24] Ad Stoffelen,et al. Impact Assessment of Simulated Doppler Wind Lidars with a Multivariate Variational Assimilation in the Tropics , 2008 .
[25] E. Källén,et al. Dynamical response of equatorial waves in four-dimensional variational data assimilation , 2004 .
[26] Ad Stoffelen,et al. ADM‐Aeolus Doppler wind lidar Observing System Simulation Experiment , 2006 .
[27] A. Stoffelen,et al. The performance of Aeolus in heterogeneous atmospheric conditions using high-resolution radiosonde data , 2014 .
[28] R. Atlas,et al. Impact of Doppler lidar wind observations on a single-level meteorological analysis , 2002, SPIE Optics + Photonics.
[29] J. Woollen,et al. Impact of Different Satellite Wind Lidar Telescope Configurations on NCEP GFS Forecast Skill in Observing System Simulation Experiments , 2015 .
[30] Robert Atlas,et al. Observing System Simulation Experiments (OSSEs) to Evaluate the Potential Impact of an Optical Autocovariance Wind Lidar (OAWL) on Numerical Weather Prediction , 2015 .
[31] Masaru Chiba,et al. Global Simulation of Dust Aerosol with a Chemical Transport Model, MASINGAR( ADEC-Aeolian Dust Experiment on Climate Impact-) , 2005 .