Precipitation Data Assimilation System Based on a Neural Network and Case-Based Reasoning System
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Carton, 2008, A Reanalysis of Ocean Climate Using Simple Ocean Data Assimilation (SODA), Mon. Weather Rev., 136, 2999, 10.1175/2007MWR1978.1
Williams, 2010, An improved analysis of forest carbon dynamics using data assimilation, Glob. Chang. Biol., 11, 89, 10.1111/j.1365-2486.2004.00891.x
Fossum, 2014, Parameter sampling capabilities of sequential and simultaneous data assimilation: II. Statistical analysis of numerical results, Inverse Probl., 30, 114003, 10.1088/0266-5611/30/11/114003
Dee, 2011, The ERA-Interim reanalysis: Configuration and performance of the data assimilation system, Q. J. R. Meteorol. Soc., 137, 553, 10.1002/qj.828
Makarynskyy, 2005, Filling gaps in wave records with artificial neural networks, Maritime Transportation and Exploitation of Ocean and Coastal Resources, Volume 2, 1085
Butunoiu, D., and Rusu, E. (2014, January 27–28). Wave modeling with data assimilation to support the navigation in the Black Sea close to the Romanian Ports. Proceedings of the Second International Conference on Traffic and Transport Engineering (ICTTE), Belgrade, Serbia.
Butunoiu, D., and Rusu, E. (2015, January 18–21). A data assimilation scheme to improve the Wave Predictions in the Black Sea. Proceedings of the OCEANS 2015, Genoa, Italy.
Rusu, 2016, A multi-parameter data-assimilation approach for wave prediction in coastal areas, J. Oper. Oceanogr., 9, 13
Buizza, 2010, Computation of optimal unstable structures for a numerical weather prediction model, Tellus, 45, 388, 10.1034/j.1600-0870.1993.t01-4-00005.x
Rusu, 2015, Impact of assimilating altimeter data on wave predictions in the western Iberian coast, Ocean Model., 96, 126, 10.1016/j.ocemod.2015.07.016
Rodwell, 2010, Using numerical weather prediction to assess climate models, Q. J. R. Meteorol. Soc., 133, 129, 10.1002/qj.23
Kug, 2010, Systematic Error Correction of Dynamical Seasonal Prediction of Sea Surface Temperature Using a Stepwise Pattern Project Method, Mon. Weather Rev., 136, 3501, 10.1175/2008MWR2272.1
Ghil, 1991, Data Assimilation in Meteorology and Oceanography, Adv. Geophys., 33, 141, 10.1016/S0065-2687(08)60442-2
Tombette, 2009, PM10 data assimilation over Europe with the optimal interpolation method, Atmos. Chem. Phys., 9, 57, 10.5194/acp-9-57-2009
Lee, 2013, PM10 data assimilation over south Korea to Asian dust forecasting model with the optimal interpolation method, Asia-Pac. J. Atmos. Sci., 49, 73, 10.1007/s13143-013-0009-y
Piccolo, 2011, Adaptive mesh method in the Met Office variational data assimilation system, Q. J. R. Meteorol. Soc., 137, 631, 10.1002/qj.801
Krysta, 2011, A Consistent Hybrid Variational-Smoothing Data Assimilation Method: Application to a Simple Shallow-Water Model of the Turbulent Midlatitude Ocean, Mon. Weather Rev., 139, 3333, 10.1175/2011MWR3150.1
Wu, 2010, Assimilation of Tropical Cyclone Track and Structure Based on the Ensemble Kalman Filter (EnKF), J. Atmos. Sci., 67, 3806, 10.1175/2010JAS3444.1
Wu, 2012, Concentric Eyewall Formation in Typhoon Sinlaku (2008). Part I: Assimilation of T-PARC Data Based on the Ensemble Kalman Filter (EnKF), Mon. Weather Rev., 140, 506, 10.1175/MWR-D-11-00057.1
Almeida, S., Rusu, L., and Guedes Soares, C. (2015). Application of the Ensemble Kalman Filter to a high-resolution wave forecasting model for wave height forecast in coastal areas. Maritime Technology and Engineering, Taylor & Francis Group.
Torn, 2010, Performance of a Mesoscale Ensemble Kalman Filter (EnKF) during the NOAA. High-Resolution Hurricane Test, Mon. Weather Rev., 138, 4375, 10.1175/2010MWR3361.1
Skachko, 2014, Comparison of the ensemble Kalman filter and 4D-Var assimilation methods using a stratospheric tracer transport model, Geosci. Model Dev., 7, 1451, 10.5194/gmd-7-1451-2014
Tong, 2013, Application of a data assimilation method via an ensemble Kalman filter to reactive urea hydrolysis transport modeling, Stoch. Environ. Res. Risk Assess., 28, 729, 10.1007/s00477-013-0786-y
Rempel, 2008, Neural networks in auroral data assimilation, J. Atmos. Sol.-Terr. Phys., 70, 1243, 10.1016/j.jastp.2008.03.018
Cintra, R.S., and Haroldo, F.C.V. (2018). Data Assimilation by Artificial Neural Networks for an Atmospheric General Circulation Model. Advanced Applications for Artificial Neural Networks, InTech.
Pereira, 2010, Multilayer perceptron neural network in a data assimilation scenario, Eng. Appl. Comput. Fluid Mech., 4, 237
Santhosh, 2010, An efficient weather forecasting system using artificial neural network, Int. J. Environ. Sci. Dev., 1, 321
Rosangela, C., Haroldo, C.V., and Steven, C. (2016, January 24–29). Tracking the model: Data assimilation by artificial neural network. Proceedings of the 2016 International Joint Conference on Neural Networks (IJCNN), Vancouver, BC, Canada.