{"action":"created","issue":{"url":"https://api.github.com/repos/StrikeNP/trac_test/issues/697","repository_url":"https://api.github.com/repos/StrikeNP/trac_test","labels_url":"https://api.github.com/repos/StrikeNP/trac_test/issues/697/labels{/name}","comments_url":"https://api.github.com/repos/StrikeNP/trac_test/issues/697/comments","events_url":"https://api.github.com/repos/StrikeNP/trac_test/issues/697/events","html_url":"https://github.com/StrikeNP/trac_test/issues/697","id":334662990,"node_id":"MDU6SXNzdWUzMzQ2NjI5OTA=","number":697,"title":"What causes noise in SILHS? (Trac 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from Trac","color":"FFFFFF","default":false},{"id":971577274,"node_id":"MDU6TGFiZWw5NzE1NzcyNzQ=","url":"https://api.github.com/repos/StrikeNP/trac_test/labels/clubb_src","name":"clubb_src","color":"FFFFFF","default":false},{"id":971577020,"node_id":"MDU6TGFiZWw5NzE1NzcwMjA=","url":"https://api.github.com/repos/StrikeNP/trac_test/labels/defect","name":"defect","color":"FFFFFF","default":false},{"id":971649570,"node_id":"MDU6TGFiZWw5NzE2NDk1NzA=","url":"https://api.github.com/repos/StrikeNP/trac_test/labels/raut@uwm.edu","name":"raut@uwm.edu","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":3442840,"node_id":"MDk6TWlsZXN0b25lMzQ0Mjg0MA==","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":32,"closed_issues":49,"state":"open","created_at":"2018-06-21T18:03:51Z","updated_at":"2018-06-23T20:10:31Z","due_on":null,"closed_at":null},"comments":68,"created_at":"2018-06-21T21:23:05Z","updated_at":"2018-06-23T21:38:41Z","closed_at":null,"author_association":"OWNER","body":"In ticket:682, we are attempting to use mirrored sampling and importance sampling to reduce noise in SILHS.\n\nI am starting this ticket just to record some general observations regarding noise in SILHS.\n\nAttachments:\n\n[plot_explicit_ta_configs.maff](https://github.com/larson-group/trac_attachment_archive/blob/master/trac_test/822/plot_explicit_ta_configs.maff)\n[plot_new_pdf_config_1_plot_2.maff](https://github.com/larson-group/trac_attachment_archive/blob/master/trac_test/822/plot_new_pdf_config_1_plot_2.maff)\n[plot_combo_pdf_run_3.maff](https://github.com/larson-group/trac_attachment_archive/blob/master/trac_test/822/plot_combo_pdf_run_3.maff)\n[plot_input_fields_rtp3_thlp3_1.maff](https://github.com/larson-group/trac_attachment_archive/blob/master/trac_test/822/plot_input_fields_rtp3_thlp3_1.maff)\n[plot_new_pdf_20180522_test_1.maff](https://github.com/larson-group/trac_attachment_archive/blob/master/trac_test/822/plot_new_pdf_20180522_test_1.maff)\n[plot_attempts_8_10.maff](https://github.com/larson-group/trac_attachment_archive/blob/master/trac_test/822/plot_attempts_8_10.maff)\n[plot_attempt_8_only.maff](https://github.com/larson-group/trac_attachment_archive/blob/master/trac_test/822/plot_attempt_8_only.maff)\n[plot_beta_1p3.maff](https://github.com/larson-group/trac_attachment_archive/blob/master/trac_test/822/plot_beta_1p3.maff)\n[plot_beta_1p3_all.maff](https://github.com/larson-group/trac_attachment_archive/blob/master/trac_test/822/plot_beta_1p3_all.maff)\n\nMigrated from http://carson.math.uwm.edu/trac/clubb/ticket/697\n```json\n{\n    \"status\": \"closed\", \n    \"changetime\": \"2014-09-01T17:36:30\", \n    \"description\": \"In ticket:682, we are attempting to use mirrored sampling and importance sampling to reduce noise in SILHS.\\n\\nI am starting this ticket just to record some general observations regarding noise in SILHS.\", \n    \"reporter\": \"raut@uwm.edu\", \n    \"cc\": \"vlarson@uwm.edu\", \n    \"resolution\": \"continued\", \n    \"_ts\": \"1409592990461502\", \n    \"component\": \"clubb_src\", \n    \"summary\": \"What causes noise in SILHS?\", \n    \"priority\": \"minor\", \n    \"keywords\": \"silhs noise\", \n    \"time\": \"2014-06-11T00:23:50\", \n    \"milestone\": \"Improve SILHS\", \n    \"owner\": \"raut@uwm.edu\", \n    \"type\": \"defect\"\n}\n```\n"},"comment":{"url":"https://api.github.com/repos/StrikeNP/trac_test/issues/comments/399712370","html_url":"https://github.com/StrikeNP/trac_test/issues/697#issuecomment-399712370","issue_url":"https://api.github.com/repos/StrikeNP/trac_test/issues/697","id":399712370,"node_id":"MDEyOklzc3VlQ29tbWVudDM5OTcxMjM3MA==","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":"2018-06-23T21:38:41Z","updated_at":"2018-06-23T21:38:41Z","author_association":"OWNER","body":"**Trac update on 2014/08/19 at 19:56**\n\n* raut@uwm.edu changed _comment0 from:\n\n> Replying to [comment:52 vlarson@…]:\n> > Based on attachment:rrm_precip_only.svg, it seems that the precip-but-no-cloud region is important for computing microphysical tendencies in RICO.\n> \n> Well, the plot in attachment:rrm_precip_only.svg is just the mean of the sample values of `rrm`, it has not been fed through microphysics.\n> \n> Unfortunately, I find that making the change that underlies attachment:rrm_precip_only.svg does not reduce noise in `rrm_auto` or `rrm_accr`. I think that this is due to the following lines found in the code that computes both of them:\n> \n> {{{\n> ! Calculate the local KK autoconversion tendency.\n> if ( mean_s > zero ) then\n>    KK_auto_local_mean = KK_auto_coef * mean_s**alpha_exp * Ncm**beta_exp\n> else  ! mean_s <= 0.\n>    ! The air is clear, and rain cannot be produced.\n>    KK_auto_local_mean = zero\n> endif\n> }}}\n> \n> So basically these two terms are determined entirely by the in cloud, in precipitation points - the ones we are really bad at sampling.\n\nto:\n\n> 1408478182348439\n\n\n* **raut@uwm.edu commented:**\n\nReplying to [comment:52 vlarson@…]:\n> Based on attachment:rrm_precip_only.svg, it seems that the precip-but-no-cloud region is important for computing microphysical tendencies in RICO.\n\n\nWell, the plot in attachment:rrm_precip_only.svg is just the mean of the sample values of `rrm`; it has not been fed through microphysics.\n\nUnfortunately, I find that making the change that underlies attachment:rrm_precip_only.svg does not reduce noise in `rrm_auto` or `rrm_accr`. I think that this is due to the following lines found in the code that computes both of them:\n\n\n```text\n! Calculate the local KK autoconversion tendency.\nif ( mean_s > zero ) then\n\n   KK_auto_local_mean = KK_auto_coef * mean_s**alpha_exp * Ncm**beta_exp\nelse  ! mean_s <= 0.\n   ! The air is clear, and rain cannot be produced.\n   KK_auto_local_mean = zero\nendif\n```\n\nSo basically these two terms are determined entirely by the in cloud, in precipitation points - the ones we are really bad at sampling.\n\n"}}
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