Classification data of Mid-latitude Northwest Pacific

<p>The clustering model used for the analysis in Sambe and Suga (2022) and the paper&nbsp;<em>in prep</em>, the training dataset used to create the model, and the dataset to which clustering was applied and labeled. The creation and classification of these models was done using pyXpcm(Maze, 2020).</p> <h3>clutering_model.nc</h3> <p>It contains the parameters of the Gaussian distribution representing each class and information on the principal components, in a format that can be used in pyXpcm.</p> <h3>training_data.nc</h3> <p>Profile information for 4544 points is stored.</p> <p>Dimensions are as follows. The names and coordinates in the data set are also noted.</p> <ul> <li>Pressure depth (DEPTH, -5~-1000, interval is 5)</li> <li>Number of profiles (N_PROF, 0~4543)</li> </ul> <p>The variables are as follows. The names in the data set and the dimensions on which they depend are also noted.</p> <ul> <li>Latitude (LATITUDE,(N_PROF))</li> <li>Longitude (LONGITUDE,(N_PROF))</li> <li>Observation date and time (TIME,(N_PROF))</li> <li>Observation year (YEAR,(N_PROF))</li> <li>Observation month (MONTH,(N_PROF))</li> <li>Data name of profile (NAME,(N_PROF))</li> <li>Temperature (TEMP,(N_PROF, DEPTH))</li> <li>Salinity (PSAL,(N_PROF, DEPTH))</li> </ul> <h3>classified_data.nc</h3> <p>Profile information for 57262 points is stored.</p> <p>Dimensions are as follows:</p> <ul> <li>Number of profiles (N_PROF, 0~57261)</li> <li>Class (pcm_class, 0~4)</li> <li>Pressure depth (DEPTH, -5~-1000, interval is 5)</li> <li>quantile (quantile, 0.05, 0.5, 0.95)</li> </ul> <p>The variables are as follows. The names in the data set and the dimensions on which they depend are also noted.</p> <ul> <li>Latitude (LATITUDE,(N_PROF))</li> <li>Longitude (LONGITUDE,(N_PROF))</li> <li>Observation date and time (TIME,(N_PROF))</li> <li>Observation year (YEAR,(N_PROF))</li> <li>Observation month (MONTH,(N_PROF))</li> <li>Data name of profile (NAME,(N_PROF))</li> <li>Temperature (TEMP,(N_PROF, DEPTH))</li> <li>Salinity (PSAL,(N_PROF, DEPTH))</li> <li>Assigned class (PCM_LABELS,(N_PROF))</li> <li>Posterior probability for each class (PCM_POST,(pcm_class, N_PROF))</li> <li>Temperature quantile for each class (TEMP_Q,(pcm_class, quantile, DEPTH))</li> <li>Salinity quantile for each class (PSAL_Q,(pcm_class, quantile, DEPTH))</li> <li>Labeling metric (robustness,(N_PROF))</li> </ul> <p>Note that the class number starts with 0 in this data set. This means that the profiles belonging to Class 2 in the paper are those with PCM_LABELS=1 in this data set.</p>