Scale-dependent inflation algorithms for ensemble Kalman filters
Authors/Creators
- 1. Key Laboratory of Mesoscale Severe Weather, Ministry of Education, and School of Atmospheric Sciences, Nanjing University, Nanjing, China
- 2. Frontiers Science Center for Critical Earth Material Cycling, Nanjing University, Nanjing, China
Description
1.Code.zip: "L05_EnSRF_xy.m" is the main code to run cycling experiments with scale-dependent inflation
2.ICs.zip: Initial conditions for the natural run and assimilation experiments
3.EnSRF_RMSE_Spread_NoInf_MInf_SDMInf.zip: contains RMSE and Spread of EnSRF with NoInf, MInf and SDMInf.
4.EnSRF_RMSE_Spread_RInf_SDRInf.zip: contains RMSE and Spread of EnSRF with RInf and SDRInf.
5.EnSRF_RMSE_Spread_AInf_SDAInf.zip: contains RMSE and Spread of EnSRF with AInf and SDAInf.
6.EnSRF_tendency_abserror_NoInf_MInf_SDMInf.zip: contains the absolute error of tendency of EnSRF with NoInf, MInf and SDMInf.
7. EnSRF_tendency_abserror_NoInf_AInf_SDAInf.zip: contains the absolute error of tendency of EnSRF with NoInf, AInf and SDAInf.
8.IHEnKF_RMSE_Spread_MInf_SDMInf.zip: contains RMSE and Spread of IHEnKF-Mean and IHEnKF-Ensemble with MInf and SDMInf.
9.IHEnKF_RMSE_Spread_RInf_SDRInf.zip: contains RMSE and Spread of IHEnKF-Mean and IHEnKF-Ensemble with RInf and SDRInf.
10. IHEnKF_RMSE_Spread_AInf_SDAInf.zip: contains RMSE and Spread of IHEnKF-Mean and IHEnKF-Ensemble with AInf and SDAInf.
Files
Code.zip
Files
(174.3 MB)
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