{"id":970,"date":"2018-01-16T18:55:34","date_gmt":"2018-01-16T18:55:34","guid":{"rendered":"https:\/\/research.reading.ac.uk\/landsurfaceprocesses\/?page_id=970"},"modified":"2025-02-24T18:54:20","modified_gmt":"2025-02-24T18:54:20","slug":"time-series","status":"publish","type":"page","link":"https:\/\/research.reading.ac.uk\/landsurfaceprocesses\/software-examples\/time-series\/","title":{"rendered":"JULES 4.9 Time Series"},"content":{"rendered":"<p>Time Series of soil moisture (and anomaly) computed for 1979-2012:<\/p>\n<ul>\n<li><a href=\"http:\/\/www.personal.reading.ac.uk\/~gn916173\/Normal\/smc_avail_tot.png\">Normal, Illinois<\/a><\/li>\n<li><a href=\"http:\/\/www.personal.reading.ac.uk\/~gn916173\/Reading\/smc_avail_tot.png\">Reading, UK<\/a><\/li>\n<li><a href=\"http:\/\/www.personal.reading.ac.uk\/~gn916173\/Seoul\/smc_avail_tot.png\">Seoul, South Korea<\/a><\/li>\n<li><a href=\"http:\/\/www.personal.reading.ac.uk\/~gn916173\/NewDelhi\/smc_avail_tot.png\">New Delhi, India<\/a><\/li>\n<li><a href=\"http:\/\/www.personal.reading.ac.uk\/~gn916173\/LosAngeles\/smc_avail_tot.png\">Los Angeles, California<\/a><\/li>\n<li><a href=\"http:\/\/www.personal.reading.ac.uk\/~gn916173\/Fresno\/smc_avail_tot.png\">Fresno, California<\/a><\/li>\n<li><a href=\"http:\/\/www.personal.reading.ac.uk\/~gn916173\/Tucson\/smc_avail_tot.png\">Tucson, Arizona<\/a><\/li>\n<\/ul>\n<p>These time-series were produced from the Rose\/Cylc suite <a href=\"https:\/\/code.metoffice.gov.uk\/trac\/roses-u\/browser\/a\/s\/0\/5\/2\/\">u-as052<\/a> with JULES4.9 (with 0.5 hour time steps) that dumped the data to disk every 6 hours of simulation calendar time (with the 2D variables saved as 1D with an ocean mask) , by using:<br \/>\ni) a <a href=\"https:\/\/research.reading.ac.uk\/landsurfaceprocesses\/software-examples\/code-samples\/monthly-averaging-script\" target=\"_blank\" rel=\"noopener\">CSH script<\/a> that uses CDO to do the monthly averaging for the 11 year (or 34 year) data set, which creates a new NETCDF file;<br \/>\nii) for the anomaly of soil moisture, this <a href=\"https:\/\/research.reading.ac.uk\/landsurfaceprocesses\/software-examples\/code-samples\/anomaly_1979_2012-scr\/\" target=\"_blank\" rel=\"noopener\">CSH script<\/a> was used to compute the anomaly with CDO operators;<br \/>\niii) a Python script (i.e., for <a href=\"https:\/\/research.reading.ac.uk\/landsurfaceprocesses\/software-examples\/code-samples\/smc_namerica_normal1-py\/\" target=\"_blank\" rel=\"noopener\">soil moisture<\/a>), that uses the new monthly-averages 1D NETCDF file and saves the time-series PNG to disk (This Python script was adapted\u00a0from Emma Robinson&#8217;s data visualization script).<em><br \/>\n<\/em><\/p>\n<p><b>Contact Info:<\/b><\/p>\n<p>Email: <a href=\"mailto:P.McGuire@reading.ac.uk\">P.McGuire@reading.ac.uk <\/a><br \/>\nAddress:<br \/>\n<a href=\"http:\/\/www.reading.ac.uk\/met\/\">Department of Meteorology<\/a>, and<br \/>\n<a href=\"http:\/\/www.reading.ac.uk\/ges\/\">Department of Geography &amp; Environmental Sciences<\/a><br \/>\n<a href=\"http:\/\/www.reading.ac.uk\/\">University of Reading<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Time Series of soil moisture (and anomaly) computed for 1979-2012:      Normal, Illinois    Reading, UK    Seoul, South Korea    New Delhi, India    Los Angeles, California    Fresno, California    Tucson, Arizona    These time-series<\/p>\n","protected":false},"author":12,"featured_media":0,"parent":78,"menu_order":5,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"__cvm_playback_settings":[],"__cvm_video_id":"","footnotes":""},"class_list":["post-970","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.8.1 - 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