Assimilating atmospheric observations into the ocean using strongly coupled ensemble data assimilation
暂无分享,去创建一个
Stephen G. Penny | Takemasa Miyoshi | Eugenia Kalnay | E. Kalnay | T. Miyoshi | S. Penny | Travis C. Sluka | T. Sluka
[1] 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 .
[2] T. Miyoshi. The Gaussian Approach to Adaptive Covariance Inflation and Its Implementation with the Local Ensemble Transform Kalman Filter , 2011 .
[3] Kristian Mogensen,et al. A coupled data assimilation system for climate reanalysis , 2016 .
[4] F. Molteni,et al. Atlantic forcing of Pacific decadal variability , 2016, Climate Dynamics.
[5] G. Shutts. A kinetic energy backscatter algorithm for use in ensemble prediction systems , 2005 .
[6] F. Molteni. Atmospheric simulations using a GCM with simplified physical parametrizations. I: model climatology and variability in multi-decadal experiments , 2003 .
[7] F. Kucharski,et al. Sensitivity of ENSO characteristics to a new interactive flux correction scheme in a coupled GCM , 2011 .
[8] J. Whitaker,et al. Evaluating Methods to Account for System Errors in Ensemble Data Assimilation , 2012 .
[9] S. Riser,et al. The Argo Program : observing the global ocean with profiling floats , 2009 .
[10] Martin Leutbecher,et al. A Spectral Stochastic Kinetic Energy Backscatter Scheme and Its Impact on Flow-Dependent Predictability in the ECMWF Ensemble Prediction System , 2009 .
[11] Amos S. Lawless,et al. Exploring strategies for coupled 4D-Var data assimilation using an idealised atmosphere–ocean model , 2015 .
[12] M. Iredell,et al. The NCEP Climate Forecast System Version 2 , 2014 .
[13] Istvan Szunyogh,et al. Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter , 2005, physics/0511236.
[14] Martin Gallagher,et al. Global-scale atmosphere monitoring by in-service aircraft – current achievements and future prospects of the European Research Infrastructure IAGOS , 2015 .
[15] Juanzhen Sun,et al. Impacts of Initial Estimate and Observation Availability on Convective-Scale Data Assimilation with an Ensemble Kalman Filter , 2004 .
[16] E. Kalnay,et al. A Hybrid Global Ocean Data Assimilation System at NCEP , 2014 .
[17] E. Kalnay,et al. Balance and Ensemble Kalman Filter Localization Techniques , 2011 .
[18] Feiyu Lu,et al. Strongly Coupled Data Assimilation Using Leading Averaged Coupled Covariance (LACC). Part I: Simple Model Study* , 2015 .
[19] Ibrahim Hoteit,et al. Ensemble Kalman Filtering with a Divided State-Space Strategy for Coupled Data Assimilation Problems* , 2014, 1408.4236.
[20] Massimo Bonavita,et al. On the use of EDA background error variances in the ECMWF 4D‐Var , 2012 .
[21] F. Molteni,et al. Decadal interactions between the western tropical Pacific and the North Atlantic Oscillation , 2005 .
[22] A. Rosati,et al. System Design and Evaluation of Coupled Ensemble Data Assimilation for Global Oceanic Climate Studies , 2007 .
[23] S. Cohn,et al. Ooce Note Series on Global Modeling and Data Assimilation Construction of Correlation Functions in Two and Three Dimensions and Convolution Covariance Functions , 2022 .
[24] Gregory J. Hakim,et al. Coupled atmosphere–ocean data assimilation experiments with a low-order climate model , 2014, Climate Dynamics.
[25] Shaoqing Zhang,et al. Ensemble data assimilation in a simple coupled climate model: The role of ocean-atmosphere interaction , 2013, Advances in Atmospheric Sciences.
[26] E. Kalnay,et al. C ○ 2007 The Authors , 2006 .
[27] Jeffrey L. Anderson. An Ensemble Adjustment Kalman Filter for Data Assimilation , 2001 .
[28] Robert Jacob,et al. Strongly Coupled Data Assimilation Using Leading Averaged Coupled Covariance (LACC). Part II: CGCM Experiments* , 2015 .
[29] P. L. Houtekamer,et al. Ensemble Kalman filtering , 2005 .
[30] Wei Li,et al. Error Covariance Estimation for Coupled Data Assimilation Using a Lorenz Atmosphere and a Simple Pycnocline Ocean Model , 2013 .
[31] Adrian Hines,et al. Assessing a New Coupled Data Assimilation System Based on the Met Office Coupled Atmosphere–Land–Ocean–Sea Ice Model , 2015 .
[32] Eugenia Kalnay,et al. Weight interpolation for efficient data assimilation with the Local Ensemble Transform Kalman Filter , 2009 .