Lorenz96でのデータ同化実装とv1のリファクタリング #33
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added 7 commits
June 1, 2020 16:14
Toyo-Daichi
commented
Jun 2, 2020
| @@ -311,7 +310,7 @@ program lorenz63 | |||
| write(6,*) ' TRUTH = ', x_true(it), y_true(it), z_true(it) | |||
| write(6,*) ' PREDICT = ', x_sim(it), y_sim(it), z_sim(it) | |||
| write(6,*) ' OBSERVE = ', x_obs(it/obs_interval), y_obs(it/obs_interval), z_obs(it/obs_interval) | |||
| write(6,*) ' ANALYSIS = ', x_anl(it), y_anl(it), z_anl(it) | |||
| write(6,*) ' ANALYSIS (BEFORE) = ', x_anl(it), y_anl(it), z_anl(it) | |||
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logで確認した方が早いので、効率性を意識した出力形式にした。
Toyo-Daichi
commented
Jun 2, 2020
| @@ -162,7 +162,7 @@ def lorenz_rmse_draw(self, rmse_sim:list, rmse_obs:list, rmse_da:list, | |||
| ax1.set_ylabel('RMSE') | |||
| ax1.set_xlim(0, 1) | |||
| ax1.set_ylim(0, 10) | |||
| ax1.set_title('Lorenz(1963) RMSE infla. ***', loc='left') | |||
| ax1.set_title('Lorenz(1963) RMSE infla. 0.0d0', loc='left') | |||
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lorenz63では、共分散膨張スキームを活用したくてもfiler divergenceは生じなかった。
Toyo-Daichi
commented
Jun 2, 2020
| @@ -21,16 +23,21 @@ oneday=0.2d0 | |||
| spinup_period=365 | |||
| normal_period=40 | |||
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| da_method='KF' | |||
| da_method='EnKF' | |||
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#24 #31 と関連。
新たに実装した点(重要度が高い順に)
※行列計算には、
xt_vec(nx,1), yt_vec(ny,1)のような一時的な行列フォーマットを使用した方が良いと分かった。