Impacts of assimilating all or GOES-like AHI infrared channels radiances on QPFs over Eastern China
暂无分享,去创建一个
Fuzhong Weng | Xiaolei Zou | Zhengkun Qin | X. Zou | F. Weng | Z. Qin
[1] Fuzhong Weng,et al. Characterization of Bias of Advanced Himawari Imager Infrared Observations from NWP Background Simulations Using CRTM and RTTOV , 2016 .
[2] Steven J. Nieman,et al. Upper-Tropospheric Winds Derived from Geostationary Satellite Water Vapor Observations , 1997 .
[3] Fuzhong Weng,et al. A fast radiative transfer model for SSMIS upper atmosphere sounding channels , 2007 .
[4] John K. Williams,et al. Probabilistic 0–1-h Convective Initiation Nowcasts that Combine Geostationary Satellite Observations and Numerical Weather Prediction Model Data , 2015 .
[5] Fuzhong Weng,et al. Advances in Radiative Transfer Modeling in Support of Satellite Data Assimilation , 2007 .
[6] Zhengkun Qin,et al. Improved Tropical Storm Forecasts withGOES-13/15Imager Radiance Assimilation and Asymmetric Vortex Initialization in HWRF , 2015 .
[7] X. Zou,et al. Evaluating Added Benefits of Assimilating GOES Imager Radiance Data in GSI for Coastal QPFs , 2013 .
[8] N. Roberts,et al. Numerical Aspects of the Application of Recursive Filters to Variational Statistical Analysis. Part II: Spatially Inhomogeneous and Anisotropic General Covariances , 2003 .
[9] John S. Kain,et al. Convective parameterization for mesoscale models : The Kain-Fritsch Scheme , 1993 .
[10] M. D. E. Szyndel,et al. Evaluation of potential benefit of assimilation of SEVIRI water vapour radiance data from Meteosat‐8 into global numerical weather prediction analyses , 2005 .
[11] Andi Walther,et al. A Naive Bayesian Cloud-Detection Scheme Derived fromCALIPSOand Applied within PATMOS-x , 2012 .
[12] C. Velden,et al. Winds derived from geostationary satellite moisture channel observations: Applications and impact on numerical weather prediction , 1996 .
[13] John S. Kain,et al. The Kain–Fritsch Convective Parameterization: An Update , 2004 .
[14] Timothy L. Olander,et al. The Impact of Multispectral GOES-8 Wind Information on Atlantic Tropical Cyclone Track Forecasts in 1995. Part I: Dataset Methodology, Description, and Case Analysis , 1998 .
[15] X. Zou,et al. Improved Coastal Precipitation Forecasts with Direct Assimilation ofGOES-11/12Imager Radiances , 2011 .
[16] Christopher S. Velden,et al. The Impact of Multispectral GOES-8 Wind Information on Atlantic Tropical Cyclone Track Forecasts in 1995. Part II: NOGAPS Forecasts , 1998 .
[17] R. Purser,et al. Three-Dimensional Variational Analysis with Spatially Inhomogeneous Covariances , 2002 .
[18] J. Mecikalski,et al. Forecasting Convective Initiation by Monitoring the Evolution of Moving Cumulus in Daytime GOES Imagery , 2004 .
[19] Testing of a new nonlocal boundary layer vertical diffusion scheme in numerical weather prediction applications [presentation] , 2004 .
[20] Yan Shen,et al. A high spatiotemporal gauge‐satellite merged precipitation analysis over China , 2014 .
[21] Ying-Hwa Kuo,et al. Bridging research to operations transitions: Status and plans of community GSI , 2016 .
[22] Song‐You Hong,et al. The WRF Single-Moment 6-Class Microphysics Scheme (WSM6) , 2006 .
[23] Test of a Modified Infrared-Only ABI Cloud Mask Algorithm for AHI Radiance Observations , 2016 .
[24] Jean-Noël Thépaut,et al. Assimilation of Meteosat radiance data within the 4D‐Var system at ECMWF: Assimilation experiments and forecast impact , 2004 .
[25] Kristopher M. Bedka,et al. Demonstration of a GOES-R Satellite Convective Toolkit to “Bridge the Gap” between Severe Weather Watches and Warnings: An Example from the 20 May 2013 Moore, Oklahoma, Tornado Outbreak , 2016 .
[26] P. Dahlgren,et al. Assimilation of SEVIRI infrared radiances with HIRLAM 4D‐Var , 2009 .
[27] Florence Rabier,et al. Land surface temperature estimation to improve the assimilation of SEVIRI radiances over land , 2011 .
[28] J. Kain,et al. A One-Dimensional Entraining/Detraining Plume Model and Its Application in Convective Parameterization , 1990 .
[29] K. Okamoto. Assimilation of overcast cloudy infrared radiances of the geostationary MTSAT‐1R imager , 2013 .