{"id":970522,"date":"2020-08-10T14:02:37","date_gmt":"2020-08-10T21:02:37","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=970522"},"modified":"2021-02-12T11:39:29","modified_gmt":"2021-02-12T19:39:29","slug":"how-to-manipulate-pacific-centric-netcdf-data-as-a-voxel-layer","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/3d-gis\/how-to-manipulate-pacific-centric-netcdf-data-as-a-voxel-layer","title":{"rendered":"How to manipulate Pacific centric NetCDF data as a Voxel Layer"},"author":80572,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23771],"tags":[34261,744242],"industry":[],"product":[36561],"class_list":["post-970522","blog","type-blog","status-publish","format-standard","hentry","category-3d-gis","tag-netcdf","tag-voxel","product-arcgis-pro"],"acf":{"short_description":"How to edit Pacific centric NetCDF files to project correctly in the Voxel Layer. ","flexible_content":[{"acf_fc_layout":"content","content":"<p>ArcGIS Pro enables users to create high performance voxel layers using NetCDF data.\u00a0 This blog describes how to use a publicly available toolkit to modify NetCDF data that is \u2018Pacific centric,\u2019 which is a common requirement for some users.<\/p>\n<p>When working with NetCDF data, some data may be \u2018Pacific centric\u2019 with a longitude stretching from [0,360], instead of [-180,180]. Meaning, the Pacific Ocean is in the center of the map rather than the Atlantic Ocean.\u00a0 Currently, ArcGIS Pro has no way of changing the longitude to be correct in this case, and instead the data must be manipulated to draw correctly.\u00a0 If the longitude starts after 180 degrees, then 360 must be subtracted from all longitude values.\u00a0 If the data longitude starts at a value less than 180 degrees, no changes should be made to the longitude values.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1135052,"id":1135052,"title":"United States Voxel Layer Offset","filename":"voxel_offset.png","filesize":219754,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/voxel_offset.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/3d-gis\/how-to-manipulate-pacific-centric-netcdf-data-as-a-voxel-layer\/voxel_offset","alt":"United States Voxel Layer Offset","author":"80572","description":"Voxel layer of the United States with an invalid longitude.","caption":"Voxel layer of data covering the continental United States with an invalid longitude.","name":"voxel_offset","status":"inherit","uploaded_to":970522,"date":"2021-02-08 20:41:05","modified":"2021-02-12 19:35:56","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1502,"height":606,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/voxel_offset-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/voxel_offset.png","medium-width":464,"medium-height":187,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/voxel_offset.png","medium_large-width":768,"medium_large-height":310,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/voxel_offset.png","large-width":1502,"large-height":606,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/voxel_offset.png","1536x1536-width":1502,"1536x1536-height":606,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/voxel_offset.png","2048x2048-width":1502,"2048x2048-height":606,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/voxel_offset-826x333.png","card_image-width":826,"card_image-height":333,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/voxel_offset.png","wide_image-width":1502,"wide_image-height":606}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>To determine more information about a NetCDF file, it is recommended to use a data viewer. One of my favorites is <a href=\"https:\/\/www.giss.nasa.gov\/tools\/panoply\/\">Panoply<\/a>.\u00a0 With Panoply examining the longitude array is as simple as loading the NetCDF, and double clicking the variable that is to be examined. In our example, our longitude values range from 230.1 to 304.9. \u00a0If your data were to cross the prime meridian, this method of data correction will not be enough.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1135072,"id":1135072,"title":"Graph for longitude values","filename":"voxel_offset2.png","filesize":14225,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/voxel_offset2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/3d-gis\/how-to-manipulate-pacific-centric-netcdf-data-as-a-voxel-layer\/voxel_offset2","alt":"Graph for longitude values","author":"80572","description":"Graph for longitude values.","caption":"Graph for longitude values.","name":"voxel_offset2","status":"inherit","uploaded_to":970522,"date":"2021-02-08 20:44:10","modified":"2021-02-08 20:44:37","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":945,"height":597,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/voxel_offset2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/voxel_offset2.png","medium-width":413,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/voxel_offset2.png","medium_large-width":768,"medium_large-height":485,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/voxel_offset2.png","large-width":945,"large-height":597,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/voxel_offset2.png","1536x1536-width":945,"1536x1536-height":597,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/voxel_offset2.png","2048x2048-width":945,"2048x2048-height":597,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/voxel_offset2-736x465.png","card_image-width":736,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/voxel_offset2.png","wide_image-width":945,"wide_image-height":597}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Using the open source <a href=\"http:\/\/nco.sourceforge.net\/\">NCO tools<\/a>, the necessary changes can easily be made.\u00a0 NCO tools, otherwise known as NetCDF Operator tools, are a collection of command line applications which can be used to analyze and manipulate NetCDF files.\u00a0 NCO has been supported by volunteers and professionals, with external support from DOE, NASA, and NSF .\u00a0 The ncap2 tool from NCO can be used for arithmetic operations on NetCDF variables.\u00a0 In general, the command is<\/p>\n<p><code>ncap2 -s \u201cexpression\u201d input.nc output.nc<\/code><\/p>\n<p>Therefore, the following will correct the example dataset<\/p>\n<p><code>ncap2 -s \u201clon=lon-360\u201d example.nc correctedExample.nc<\/code><\/p>\n<p>The new NetCDF will now draw in the correct location in ArcGIS Pro.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":970962,"id":970962,"title":"Correct America Projection","filename":"correctAmericaProjection.png","filesize":115672,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/correctAmericaProjection.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/3d-gis\/how-to-manipulate-pacific-centric-netcdf-data-as-a-voxel-layer\/correctamericaprojection","alt":"Correct projection of the United States","author":"80572","description":"Correct projection of voxels over America ","caption":"Data covering the continental United States is projected correctly","name":"correctamericaprojection","status":"inherit","uploaded_to":970522,"date":"2020-08-10 20:28:18","modified":"2021-02-12 19:34:33","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":785,"height":445,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/correctAmericaProjection-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/correctAmericaProjection.png","medium-width":460,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/correctAmericaProjection.png","medium_large-width":768,"medium_large-height":435,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/correctAmericaProjection.png","large-width":785,"large-height":445,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/correctAmericaProjection.png","1536x1536-width":785,"1536x1536-height":445,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/correctAmericaProjection.png","2048x2048-width":785,"2048x2048-height":445,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/correctAmericaProjection.png","card_image-width":785,"card_image-height":445,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/correctAmericaProjection.png","wide_image-width":785,"wide_image-height":445}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>For more information, please check out <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/help\/mapping\/layer-properties\/what-is-a-voxel-layer-.htm\">What is a voxel layer?<\/a> in the help topics.<\/p>\n"}],"authors":[{"ID":80572,"user_firstname":"Richard","user_lastname":"Vargas","nickname":"rvargas","user_nicename":"rvargas","display_name":"Richard Vargas","user_email":"rvargas@esri.com","user_url":"","user_registered":"2020-08-10 14:52:53","user_description":"Richard is a Product Engineer (SDET) on the 3D Scene Layers Team at ESRI.  In this role he works on multidimensional voxel and 3D object layers, as well as a maintainer for the ESRI I3S specification.  Richard has a Bachelor of Science in Computer Science from California State University San Bernardino.  Outside of work, Richard likes to indulge in video games, fiddle with the guitar, and go on hikes.","user_avatar":"<img alt='' src='https:\/\/secure.gravatar.com\/avatar\/9de372c1a55e00f37736cbaec72166a0f0701a4707387b62e57eb1f2edd547c4?s=96&#038;d=blank&#038;r=g' srcset='https:\/\/secure.gravatar.com\/avatar\/9de372c1a55e00f37736cbaec72166a0f0701a4707387b62e57eb1f2edd547c4?s=192&#038;d=blank&#038;r=g 2x' class='avatar avatar-96 photo' height='96' width='96' loading='lazy' decoding='async'\/>"}],"related_articles":[{"ID":1094981,"post_author":"7491","post_date":"2020-12-19 08:19:47","post_date_gmt":"2020-12-19 16:19:47","post_content":"","post_title":"What's new with Voxel Layers (ArcGIS Pro 2.7)","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"whats-new-with-voxel-layers-arcgis-pro-2-7","to_ping":"","pinged":"","post_modified":"2020-12-19 08:26:26","post_modified_gmt":"2020-12-19 16:26:26","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=1094981","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":1001692,"post_author":"9032","post_date":"2020-09-09 03:31:15","post_date_gmt":"2020-09-09 10:31:15","post_content":"","post_title":"Three ways to prepare your data for Voxel Layer","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"three-ways-to-prepare-your-data-for-voxel-layer","to_ping":"","pinged":"","post_modified":"2020-09-20 09:52:03","post_modified_gmt":"2020-09-20 16:52:03","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=1001692","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"2","filter":"raw"},{"ID":1064451,"post_author":"5141","post_date":"2020-11-23 08:10:56","post_date_gmt":"2020-11-23 16:10:56","post_content":"","post_title":"The Science of Where: A voxel visualization of smoke plume rise and dispersion","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"the-science-of-where-a-voxel-visualization-of-smoke-plume-rise-and-dispersion","to_ping":"","pinged":"","post_modified":"2020-11-24 14:17:15","post_modified_gmt":"2020-11-24 22:17:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=1064451","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":1091651,"post_author":"5141","post_date":"2020-12-18 07:00:20","post_date_gmt":"2020-12-18 15:00:20","post_content":"","post_title":"A Workflow for Creating Discrete Voxels","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-workflow-for-creating-discrete-voxels","to_ping":"","pinged":"","post_modified":"2023-05-25 13:43:40","post_modified_gmt":"2023-05-25 20:43:40","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=1091651","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"1","filter":"raw"}],"card_image":false,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/voxel_banner_large.jpg"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to manipulate Pacific centric NetCDF data as a Voxel Layer<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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