{"action":"created","issue":{"url":"https://api.github.com/repos/StrikeNP/trac_test/issues/324","repository_url":"https://api.github.com/repos/StrikeNP/trac_test","labels_url":"https://api.github.com/repos/StrikeNP/trac_test/issues/324/labels{/name}","comments_url":"https://api.github.com/repos/StrikeNP/trac_test/issues/324/comments","events_url":"https://api.github.com/repos/StrikeNP/trac_test/issues/324/events","html_url":"https://github.com/StrikeNP/trac_test/issues/324","id":332174369,"node_id":"MDU6SXNzdWUzMzIxNzQzNjk=","number":324,"title":"Latin hypercube: Create publication-quality plots (Trac #324)","user":{"login":"StrikeNP","id":2577059,"node_id":"MDQ6VXNlcjI1NzcwNTk=","avatar_url":"https://avatars0.githubusercontent.com/u/2577059?v=4","gravatar_id":"","url":"https://api.github.com/users/StrikeNP","html_url":"https://github.com/StrikeNP","followers_url":"https://api.github.com/users/StrikeNP/followers","following_url":"https://api.github.com/users/StrikeNP/following{/other_user}","gists_url":"https://api.github.com/users/StrikeNP/gists{/gist_id}","starred_url":"https://api.github.com/users/StrikeNP/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/StrikeNP/subscriptions","organizations_url":"https://api.github.com/users/StrikeNP/orgs","repos_url":"https://api.github.com/users/StrikeNP/repos","events_url":"https://api.github.com/users/StrikeNP/events{/privacy}","received_events_url":"https://api.github.com/users/StrikeNP/received_events","type":"User","site_admin":false},"labels":[{"id":963997231,"node_id":"MDU6TGFiZWw5NjM5OTcyMzE=","url":"https://api.github.com/repos/StrikeNP/trac_test/labels/Migrated%20from%20Trac","name":"Migrated from Trac","color":"FFFFFF","default":false},{"id":963997996,"node_id":"MDU6TGFiZWw5NjM5OTc5OTY=","url":"https://api.github.com/repos/StrikeNP/trac_test/labels/other","name":"other","color":"FFFFFF","default":false},{"id":964076735,"node_id":"MDU6TGFiZWw5NjQwNzY3MzU=","url":"https://api.github.com/repos/StrikeNP/trac_test/labels/raut@uwm.edu","name":"raut@uwm.edu","color":"FFFFFF","default":false},{"id":963997380,"node_id":"MDU6TGFiZWw5NjM5OTczODA=","url":"https://api.github.com/repos/StrikeNP/trac_test/labels/task","name":"task","color":"FFFFFF","default":false}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":{"url":"https://api.github.com/repos/StrikeNP/trac_test/milestones/8","html_url":"https://github.com/StrikeNP/trac_test/milestone/8","labels_url":"https://api.github.com/repos/StrikeNP/trac_test/milestones/8/labels","id":3423184,"node_id":"MDk6TWlsZXN0b25lMzQyMzE4NA==","number":8,"title":"Improve SILHS","description":null,"creator":{"login":"StrikeNP","id":2577059,"node_id":"MDQ6VXNlcjI1NzcwNTk=","avatar_url":"https://avatars0.githubusercontent.com/u/2577059?v=4","gravatar_id":"","url":"https://api.github.com/users/StrikeNP","html_url":"https://github.com/StrikeNP","followers_url":"https://api.github.com/users/StrikeNP/followers","following_url":"https://api.github.com/users/StrikeNP/following{/other_user}","gists_url":"https://api.github.com/users/StrikeNP/gists{/gist_id}","starred_url":"https://api.github.com/users/StrikeNP/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/StrikeNP/subscriptions","organizations_url":"https://api.github.com/users/StrikeNP/orgs","repos_url":"https://api.github.com/users/StrikeNP/repos","events_url":"https://api.github.com/users/StrikeNP/events{/privacy}","received_events_url":"https://api.github.com/users/StrikeNP/received_events","type":"User","site_admin":false},"open_issues":61,"closed_issues":20,"state":"open","created_at":"2018-06-13T20:03:15Z","updated_at":"2018-06-14T17:08:40Z","due_on":null,"closed_at":null},"comments":34,"created_at":"2018-06-13T21:39:46Z","updated_at":"2018-06-14T18:30:35Z","closed_at":null,"author_association":"OWNER","body":"Dave has finished the basic aspects of the LH sampling code.  Now we'd like to plot the results for publication using plotgen.  \n\nWe'd like to run LH non-interactively and interactively; with varying numbers of sample points per grid box and timestep; and with a varying degree of overlap in the vertical.  Each plot will contain a line for the analytic KK microphysics as a benchmark and a line for the local KK as a straw man.  The plots should omit LES benchmark lines.\n\nFor all plots, we'll use:\nKK microphysics\n128-level grid \n1-min timestep\nl_use_rejection_method = .false.\nl_lh_vert_overlap = .true.\nl_lh_cloud_weighted_sampling = .true.\n\nWe'll plot both RICO and RF02 DS.  Run RICO for 24 hours, not 72 hours.  All time averages should use a time interval of 6 hours.\n\nOverlap all fields, not just s_mellor and dp1.  Default values will be 2 sample points and vert_corr_coef = 0.1.\n\nAdd to plotgen timeseries of rain water path.  Plot each timestep.  (Perhaps later if we're ambitious we could add lh_rainwp.)\n\nWe could create plots that overlap the following fields (plus analytic and local KK, for a total of 5 lines per plot):\n\n1.  Non-interactive, with 2, 8, and 64 sample points.  \n\n2.  Interactive, with 2, 8, and 64 sample points. \n\n3.  Interactive with vert_corr_coef = 0.0 (max overlap), =  0.1 (standard overlap), and = 1000.0 (random overlap).  Use 2 sample points.  \n\nAt some point, we should think about producing sample time-height plots of lh_rrainm or lh_rcm, in order to illustrate the extremes of samples that can result.  To do this, we could use Dave's MATLAB script for time-height plots in steele:home/matlabuser/dschanen.\n\nAttachments:\n\n[w_comparison.png](https://github.com/larson-group/trac_attachment_archive/blob/master/clubb/w_comparison.png)\n[lh_plots.pdf](https://github.com/larson-group/trac_attachment_archive/blob/master/clubb/lh_plots.pdf)\n[plots_rev.pdf](https://github.com/larson-group/trac_attachment_archive/blob/master/clubb/plots_rev.pdf)\n[lh_plot_rev2.pdf](https://github.com/larson-group/trac_attachment_archive/blob/master/clubb/lh_plot_rev2.pdf)\n[lh_plot_in_cloud_values.pdf](https://github.com/larson-group/trac_attachment_archive/blob/master/clubb/lh_plot_in_cloud_values.pdf)\n[lh_plots_scaled_axis.pdf](https://github.com/larson-group/trac_attachment_archive/blob/master/clubb/lh_plots_scaled_axis.pdf)\n[lh_plot_cloud_weighted.pdf](https://github.com/larson-group/trac_attachment_archive/blob/master/clubb/lh_plot_cloud_weighted.pdf)\n[analytic_and_silhs_plot_2013_with_line_width_array_4_3_2_1_and_ugly_yellow_color_replaced_by_a_pretty_shade_of_red.maff](https://github.com/larson-group/trac_attachment_archive/blob/master/clubb/analytic_and_silhs_plot_2013_with_line_width_array_4_3_2_1_and_ugly_yellow_color_replaced_by_a_pretty_shade_of_red.maff)\n[analytic_median_plot_2013_with_line_width_array_4_3_2_1.maff](https://github.com/larson-group/trac_attachment_archive/blob/master/clubb/analytic_median_plot_2013_with_line_width_array_4_3_2_1.maff)\n[analytic_and_silhs_plot_2013_with_line_width_array_4_3_2_1.5_1_and_even_0.5.maff](https://github.com/larson-group/trac_attachment_archive/blob/master/clubb/analytic_and_silhs_plot_2013_with_line_width_array_4_3_2_1.5_1_and_even_0.5.maff)\n[analytic_median_plot_2013_with_line_width_array_4_3_2_1.5_1_and_even_0.5.maff](https://github.com/larson-group/trac_attachment_archive/blob/master/clubb/analytic_median_plot_2013_with_line_width_array_4_3_2_1.5_1_and_even_0.5.maff)\n[analytic_and_silhs_plot_2013_with_line_width_array_4_3_2_1.5_1_0.5_t_721_1440.maff](https://github.com/larson-group/trac_attachment_archive/blob/master/clubb/analytic_and_silhs_plot_2013_with_line_width_array_4_3_2_1.5_1_0.5_t_721_1440.maff)\n[analytic_median_plot_2013_with_line_width_array_4_3_2_1.5_1_0.5_t_721_1440_and_a_light_green_line_for_median_rc.maff](https://github.com/larson-group/trac_attachment_archive/blob/master/clubb/analytic_median_plot_2013_with_line_width_array_4_3_2_1.5_1_0.5_t_721_1440_and_a_light_green_line_for_median_rc.maff)\n[analytic_and_silhs_plot_2013_final.maff](https://github.com/larson-group/trac_attachment_archive/blob/master/clubb/analytic_and_silhs_plot_2013_final.maff)\n[analytic_median_plot_2013_final.maff](https://github.com/larson-group/trac_attachment_archive/blob/master/clubb/analytic_median_plot_2013_final.maff)\n[analytic_det_cloud_2013.maff](https://github.com/larson-group/trac_attachment_archive/blob/master/clubb/analytic_det_cloud_2013.maff)\n\nMigrated from http://carson.math.uwm.edu/trac/clubb/ticket/324\n```json\n{\n    \"status\": \"closed\", \n    \"changetime\": \"2013-09-19T16:35:42\", \n    \"description\": \"Dave has finished the basic aspects of the LH sampling code.  Now we'd like to plot the results for publication using plotgen.  \\n\\nWe'd like to run LH non-interactively and interactively; with varying numbers of sample points per grid box and timestep; and with a varying degree of overlap in the vertical.  Each plot will contain a line for the analytic KK microphysics as a benchmark and a line for the local KK as a straw man.  The plots should omit LES benchmark lines.\\n\\nFor all plots, we'll use:\\nKK microphysics\\n128-level grid \\n1-min timestep\\nl_use_rejection_method = .false.\\nl_lh_vert_overlap = .true.\\nl_lh_cloud_weighted_sampling = .true.\\n\\nWe'll plot both RICO and RF02 DS.  Run RICO for 24 hours, not 72 hours.  All time averages should use a time interval of 6 hours.\\n\\nOverlap all fields, not just s_mellor and dp1.  Default values will be 2 sample points and vert_corr_coef = 0.1.\\n\\nAdd to plotgen timeseries of rain water path.  Plot each timestep.  (Perhaps later if we're ambitious we could add lh_rainwp.)\\n\\nWe could create plots that overlap the following fields (plus analytic and local KK, for a total of 5 lines per plot):\\n\\n1.  Non-interactive, with 2, 8, and 64 sample points.  \\n\\n2.  Interactive, with 2, 8, and 64 sample points. \\n\\n3.  Interactive with vert_corr_coef = 0.0 (max overlap), =  0.1 (standard overlap), and = 1000.0 (random overlap).  Use 2 sample points.  \\n\\nAt some point, we should think about producing sample time-height plots of lh_rrainm or lh_rcm, in order to illustrate the extremes of samples that can result.  To do this, we could use Dave's MATLAB script for time-height plots in steele:home/matlabuser/dschanen.\", \n    \"reporter\": \"vlarson@uwm.edu\", \n    \"cc\": \"vlarson@uwm.edu\", \n    \"resolution\": \"Verified by V. Larson\", \n    \"_ts\": \"1379608542478621\", \n    \"component\": \"other\", \n    \"summary\": \"Latin hypercube: Create publication-quality plots\", \n    \"priority\": \"major\", \n    \"keywords\": \"\", \n    \"time\": \"2010-04-12T21:42:21\", \n    \"milestone\": \"Improve SILHS\", \n    \"owner\": \"raut@uwm.edu\", \n    \"type\": \"task\"\n}\n```\n"},"comment":{"url":"https://api.github.com/repos/StrikeNP/trac_test/issues/comments/397394653","html_url":"https://github.com/StrikeNP/trac_test/issues/324#issuecomment-397394653","issue_url":"https://api.github.com/repos/StrikeNP/trac_test/issues/324","id":397394653,"node_id":"MDEyOklzc3VlQ29tbWVudDM5NzM5NDY1Mw==","user":{"login":"StrikeNP","id":2577059,"node_id":"MDQ6VXNlcjI1NzcwNTk=","avatar_url":"https://avatars0.githubusercontent.com/u/2577059?v=4","gravatar_id":"","url":"https://api.github.com/users/StrikeNP","html_url":"https://github.com/StrikeNP","followers_url":"https://api.github.com/users/StrikeNP/followers","following_url":"https://api.github.com/users/StrikeNP/following{/other_user}","gists_url":"https://api.github.com/users/StrikeNP/gists{/gist_id}","starred_url":"https://api.github.com/users/StrikeNP/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/StrikeNP/subscriptions","organizations_url":"https://api.github.com/users/StrikeNP/orgs","repos_url":"https://api.github.com/users/StrikeNP/repos","events_url":"https://api.github.com/users/StrikeNP/events{/privacy}","received_events_url":"https://api.github.com/users/StrikeNP/received_events","type":"User","site_admin":false},"created_at":"2018-06-14T18:30:35Z","updated_at":"2018-06-14T18:30:35Z","author_association":"OWNER","body":"**Trac update on 2010/12/01 at 17:59**\n\n* dschanen@uwm.edu changed attachment from \"\" to \"plots_rev.pdf\"\n* **dschanen@uwm.edu commented:**\n\nRevised version of the prior plots\n\n"}}
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