Analysis of an Observing System Experiment for the Joint Polar Satellite System
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[1] Massimo Bonavita,et al. The Role of Satellite Data in the Forecasting of Hurricane Sandy , 2014 .
[2] John Derber,et al. The Use of TOVS Cloud-Cleared Radiances in the NCEP SSI Analysis System , 1998 .
[3] Fuzhong Weng,et al. On water vapor Jacobian in fast radiative transfer model , 2010 .
[4] W. Paul Menzel,et al. Retrieval of Cloud Parameters from Satellite Sounder Data: A Simulation Study , 1989 .
[5] Xie Zhenghui,et al. A new way to predict forecast skill , 2003 .
[6] John Derber,et al. The National Meteorological Center's spectral-statistical interpolation analysis system , 1992 .
[7] Ronald Gelaro,et al. Examination of observation impacts derived from observing system experiments (OSEs) and adjoint models , 2009 .
[8] Edward J. Kim,et al. S‐NPP ATMS instrument prelaunch and on‐orbit performance evaluation , 2014 .
[9] John Derber,et al. The use of TOVS level‐1b radiances in the NCEP SSI analysis system , 2000 .
[10] Fuzhong Weng,et al. Determination of precipitable water and cloud liquid water over oceans from the NOAA 15 advanced microwave sounding unit , 2001 .
[11] E. Kalnay,et al. Estimating observation impact without adjoint model in an ensemble Kalman filter , 2008 .
[12] Gail E. Bingham,et al. Noise performance of the CrIS instrument , 2013 .
[13] Denis Tremblay,et al. Suomi NPP CrIS measurements, sensor data record algorithm, calibration and validation activities, and record data quality , 2013 .
[14] Rolf H. Langland,et al. Estimation of observation impact using the NRL atmospheric variational data assimilation adjoint system , 2004 .
[15] M. Goldberg,et al. Joint Polar Satellite System: The United States next generation civilian polar‐orbiting environmental satellite system , 2013 .
[16] B. Cook,et al. Phenological versus meteorological controls on land‐atmosphere water and carbon fluxes , 2013 .
[17] Eugenia Kalnay,et al. Three years of operational prediction of forecast skill at NMC , 1995 .
[18] David D. Parrish,et al. GSI 3DVar-Based Ensemble-Variational Hybrid Data Assimilation for NCEP Global Forecast System: Single-Resolution Experiments , 2013 .
[19] L. Cucurull,et al. Operational Implementation of COSMIC Observations into NCEP’s Global Data Assimilation System , 2008 .
[20] James A. Jung,et al. A Two-Season Impact Study of Four Satellite Data Types and Rawinsonde Data in the NCEP Global Data Assimilation System , 2008 .
[21] Richard A. Anthes,et al. Impact of Loss of U.S. Microwave and Radio Occultation Observations in Operational Numerical Weather Prediction in Support of the U.S. Data Gap Mitigation Activities , 2014 .
[22] C. Cardinali. Monitoring the observation impact on the short‐range forecast , 2009 .
[23] A. Hollingsworth,et al. Some aspects of the improvement in skill of numerical weather prediction , 2002 .
[24] Kayo Ide,et al. An OSSE-Based Evaluation of Hybrid Variational–Ensemble Data Assimilation for the NCEP GFS. Part I: System Description and 3D-Hybrid Results , 2015 .
[25] Richard T. Marriott,et al. Forecast sensitivity to observations in the Met Office Global numerical weather prediction system , 2014 .
[26] Takemasa Miyoshi,et al. Ensemble-based observation impact estimates using the NCEP GFS , 2013 .
[27] R. J. Purser,et al. A bending angle forward operator for global positioning system radio occultation measurements , 2013 .
[28] L. Cucurull. Improvement in the Use of an Operational Constellation of GPS Radio Occultation Receivers in Weather Forecasting , 2010 .
[29] J. Derber,et al. Introduction of the GSI into the NCEP Global Data Assimilation System , 2009 .
[30] Fuzhong Weng,et al. Validation of the Community Radiative Transfer Model by using CloudSat data , 2008 .