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文件名称:EnsembleKalman_filter

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  • 上传时间:
    2012-10-05
  • 文件大小:
    4.91mb
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    4次
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集合卡尔曼滤波(EnKF) 数据同化方法可以避免了EKF 中协方差演变方程预报过程中出现的计算不准确和关于协方差矩阵的大量数据的存储问题,最主要的是可以有效的控制估计误差方差的增长,改善预报的效果。-Ensemble Kalman Filter (EnKF) data assimilation methods can be avoided in the EKF covariance forecasting the evolution equation arising in the course of the calculation is not accurate and on the covariance matrix of a large amount of data storage problems, the most important and effective control can be estimated error variance of the growth, improvement in forecasting results.
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下载文件列表

EnsembleKalman_filter
EnsembleKalman_filter/assimilate.m
EnsembleKalman_filter/bin
EnsembleKalman_filter/bin/L3_step_c.mexa64
EnsembleKalman_filter/bin/L3_step_c.mexglx
EnsembleKalman_filter/bin/L40_step_c.mexa64
EnsembleKalman_filter/bin/L40_step_c.mexglx
EnsembleKalman_filter/bin/QG_step_f.mexa64
EnsembleKalman_filter/bin/QG_step_f.mexglx
EnsembleKalman_filter/calc_bestrmse.m
EnsembleKalman_filter/calc_h.m
EnsembleKalman_filter/calc_k.m
EnsembleKalman_filter/calc_loccoeffs.m
EnsembleKalman_filter/calc_r.m
EnsembleKalman_filter/calc_rlocal.m
EnsembleKalman_filter/calc_stats.m
EnsembleKalman_filter/CHANGELOG
EnsembleKalman_filter/fmain.m
EnsembleKalman_filter/generate.m
EnsembleKalman_filter/genU.m
EnsembleKalman_filter/get_obs.m
EnsembleKalman_filter/get_pos.m
EnsembleKalman_filter/get_prm.m
EnsembleKalman_filter/get_prmstruct.m
EnsembleKalman_filter/LICENSE
EnsembleKalman_filter/main.m
EnsembleKalman_filter/models
EnsembleKalman_filter/models/common
EnsembleKalman_filter/models/common/dp5step.m
EnsembleKalman_filter/models/common/LA_generate_sample.m
EnsembleKalman_filter/models/common/plot_x.m
EnsembleKalman_filter/models/common/rk4step.m
EnsembleKalman_filter/models/common/shuffle.m
EnsembleKalman_filter/models/L3
EnsembleKalman_filter/models/L3/L3.m
EnsembleKalman_filter/models/L3/L3_step.m
EnsembleKalman_filter/models/L3/L3_step_c.c
EnsembleKalman_filter/models/L3/model_generate.m
EnsembleKalman_filter/models/L3/model_getprmstruct.m
EnsembleKalman_filter/models/L3/model_plotstate.m
EnsembleKalman_filter/models/L3/model_setprm.m
EnsembleKalman_filter/models/L3/model_step.m
EnsembleKalman_filter/models/L40
EnsembleKalman_filter/models/L40/L40.m
EnsembleKalman_filter/models/L40/L40_step.m
EnsembleKalman_filter/models/L40/L40_step_c.c
EnsembleKalman_filter/models/L40/model_generate.m
EnsembleKalman_filter/models/L40/model_getprmstruct.m
EnsembleKalman_filter/models/L40/model_plotstate.m
EnsembleKalman_filter/models/L40/model_setprm.m
EnsembleKalman_filter/models/L40/model_step.m
EnsembleKalman_filter/models/L40p
EnsembleKalman_filter/models/L40p/generate_samples.m
EnsembleKalman_filter/models/L40p/L40p.m
EnsembleKalman_filter/models/L40p/L40p_step.m
EnsembleKalman_filter/models/L40p/model_generate.m
EnsembleKalman_filter/models/L40p/model_getprmstruct.m
EnsembleKalman_filter/models/L40p/model_plotstate.m
EnsembleKalman_filter/models/L40p/model_setprm.m
EnsembleKalman_filter/models/L40p/model_step.m
EnsembleKalman_filter/models/LA
EnsembleKalman_filter/models/LA/LA_step.m
EnsembleKalman_filter/models/LA/model_generate.m
EnsembleKalman_filter/models/LA/model_getprmstruct.m
EnsembleKalman_filter/models/LA/model_plotstate.m
EnsembleKalman_filter/models/LA/model_setprm.m
EnsembleKalman_filter/models/LA/model_step.m
EnsembleKalman_filter/models/LA/README
EnsembleKalman_filter/models/LA2
EnsembleKalman_filter/models/LA2/LA2_generate_sample.m
EnsembleKalman_filter/models/LA2/LA2_step.m
EnsembleKalman_filter/models/LA2/model_generate.m
EnsembleKalman_filter/models/LA2/model_getprmstruct.m
EnsembleKalman_filter/models/LA2/model_plotstate.m
EnsembleKalman_filter/models/LA2/model_setprm.m
EnsembleKalman_filter/models/LA2/model_step.m
EnsembleKalman_filter/models/QG
EnsembleKalman_filter/models/QG/f90
EnsembleKalman_filter/models/QG/f90/calc.f90
EnsembleKalman_filter/models/QG/f90/data.f90
EnsembleKalman_filter/models/QG/f90/helmholtz.f90
EnsembleKalman_filter/models/QG/f90/Makefile
EnsembleKalman_filter/models/QG/f90/mexcmd.m
EnsembleKalman_filter/models/QG/f90/mexf90.f90
EnsembleKalman_filter/models/QG/f90/nfw.f90
EnsembleKalman_filter/models/QG/f90/parameters.f90
EnsembleKalman_filter/models/QG/f90/prm-ens.txt
EnsembleKalman_filter/models/QG/f90/prm.txt
EnsembleKalman_filter/models/QG/f90/qg.f90
EnsembleKalman_filter/models/QG/f90/qgflux.f90
EnsembleKalman_filter/models/QG/f90/qgplay.m
EnsembleKalman_filter/models/QG/f90/qgplot.m
EnsembleKalman_filter/models/QG/f90/qgread.m
EnsembleKalman_filter/models/QG/f90/qgstep.f90
EnsembleKalman_filter/models/QG/f90/qgstep_mex.f90
EnsembleKalman_filter/models/QG/f90/README
EnsembleKalman_filter/models/QG/f90/utils.f90
EnsembleKalman_filter/models/QG/model_generate.m
EnsembleKalman_filter/models/QG/model_getprmstruct.m
EnsembleKalman_filter/models/QG/model_plotstate.m
EnsembleKalman_filter/models/QG/model_setprm.m
EnsembleKalman_filter/models/QG/model_step.m
EnsembleKalman_filter/models/QG/QG_step.m
EnsembleKalman_filter/models/QG/README
EnsembleKalman_filter/models/S
EnsembleKalman_filter/models/S/model_generate.m
EnsembleKalman_filter/models/S/model_getprmstruct.m
EnsembleKalman_filter/models/S/model_plotstate.m
EnsembleKalman_filter/models/S/model_setprm.m
EnsembleKalman_filter/models/S/model_step.m
EnsembleKalman_filter/models/S/S_generate_sample.m
EnsembleKalman_filter/models/S/S_step.m
EnsembleKalman_filter/plot_diag.m
EnsembleKalman_filter/plot_ens.m
EnsembleKalman_filter/plot_prm.m
EnsembleKalman_filter/plot_state.m
EnsembleKalman_filter/prm
EnsembleKalman_filter/prm/prm-custom-L3.txt
EnsembleKalman_filter/prm/prm-custom-L40.txt
EnsembleKalman_filter/prm/prm-custom-L40p.txt
EnsembleKalm

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