{"id":122811,"date":"2012-04-27T18:07:26","date_gmt":"2012-04-27T18:07:26","guid":{"rendered":"http:\/\/www.esri.com\/arcgis-blog\/products\/product\/uncategorized\/including-netcdf-dimension-values-in-the-name-of-an-output-layer-or-table\/"},"modified":"2012-04-27T18:07:26","modified_gmt":"2012-04-27T18:07:26","slug":"including-netcdf-dimension-values-in-the-name-of-an-output-layer-or-table","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/product\/analytics\/including-netcdf-dimension-values-in-the-name-of-an-output-layer-or-table","title":{"rendered":"Including netCDF Dimension Values in the Name of an Output Layer or Table"},"author":5141,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23341,23851],"tags":[25401,27531,34261],"industry":[],"product":[],"class_list":["post-122811","blog","type-blog","status-publish","format-standard","hentry","category-analytics","category-data-management","tag-multidimension","tag-multidimensional-toolbox","tag-netcdf"],"acf":{"short_description":"NetCDF (network Common Data Form) is a file format for storing multidimensional scientific data (variables) such as temperature, humidity...","flexible_content":[{"acf_fc_layout":"content","content":"<p><a href=\"http:\/\/www.unidata.ucar.edu\/software\/netcdf\/#home\" target=\"_blank\">NetCDF<\/a> (network Common Data Form) is a file format for storing multidimensional scientific data (variables) such as temperature, humidity, pressure, wind speed, and direction. Each of these variables can be displayed through a dimension (such as time, date, or depth) in ArcGIS by making a layer or table view from the netCDF file.\u00a0 The layer or table view represents one &#8220;slice&#8221; of the dimension (for example a single date or depth).<\/p>\n<p><a href=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2012\/04\/netCDF_SliceDiagram.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-11303\" src=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2012\/04\/netCDF_SliceDiagram.png\" alt=\"\" width=\"600\" height=\"300\" \/><\/a><!--more--><\/p>\n<p>When automating netCDF workflows using ModelBuilder, it is often helpful to append a dimension\u2019s value to the name of the layer or table view (for example, <code>temp_1_1_2009<\/code> or <code>depth_20<\/code>).\u00a0\u00a0 The basic procedure to\u00a0accomplish this follows:<\/p>\n<ol>\n<li>Create a new model.<\/li>\n<li>Add the <em><a href=\"http:\/\/help.arcgis.com\/en\/arcgisdesktop\/10.0\/help\/index.html#\/\/004300000006000000.htm\">Make netCDF Raster Layer<\/a><\/em> tool from the Multidimensional toolbox to the model.<\/li>\n<li>Right-click the <em>Make netCDF Raster Layer <\/em>tool, then select <em>Make Variable &gt;&gt;\u00a0 From Parameter &gt;&gt; Dimension Values<\/em>.<\/li>\n<li>Add the <em><a href=\"http:\/\/help.arcgis.com\/en\/arcgisdesktop\/10.0\/help\/index.html#\/\/0017000000v8000000\">Calculate Value<\/a><\/em> tool (<em>Data management &gt;&gt; General toolset<\/em>) to the model.<\/li>\n<li>Double-click the <em>Calculate Value <\/em>tool.<\/li>\n<li>Convert any slashes in the date\/time values to underscores by using the following for the <strong>Expression<\/strong>:<br \/>\n<code>\u00a0\u00a0\u00a0\u00a0\"%Dimension Values%\".replace(\"\/\",\"_\")<br \/>\n<\/code><strong>Note: <\/strong>Slashes in the name may cause problems for other geoprocessing tools.\u00a0 In order to create a valid layer or table name, you may need to add additional expressions to the <em>Calculate Value <\/em>tool to remove any illegal characters from the dimension\u2019s value.<\/li>\n<li>Right-click on the output of <em>Calculate Value <\/em>and rename it to\u00a0<code>CleanLayerName<\/code>.<\/li>\n<\/ol>\n<p>The model variable <code>CleanLayerName<\/code> will contain the value (or index) of the dimension used when creating the netCDF raster layer.\u00a0 This variable can be used via <a href=\"http:\/\/help.arcgis.com\/en\/arcgisdesktop\/10.0\/help\/index.html#\/\/002w0000001t000000\">in-line substitution<\/a> to create more meaningful layer or table names in other geoprocessing tools.\u00a0 For example, to use the dimension\u2019s value as part of the output raster dataset name for the <em><a href=\"http:\/\/help.arcgis.com\/en\/arcgisdesktop\/10.0\/help\/index.html#\/\/001700000094000000\">Copy Raster<\/a> <\/em>tool,\u00a0specify it as\u00a0<code>in_memory%CleanLayerName%<\/code>.\u00a0 Similarly, to use it\u00a0as the output table name for the <em><a href=\"http:\/\/help.arcgis.com\/en\/arcgisdesktop\/10.0\/help\/index.html#\/\/00300000000t000000.htm\">Extract Values To Table<\/a> <\/em>tool, specify <code>C:Workspaceprecip_%CleanLayerName%<\/code>.<\/p>\n<p>See the annotated model below for an example using the <em>Copy Raster <\/em>tool.<\/p>\n<p>Using a dimension value as part of an output name and adding this output to the Table of Contents requires an additional step in the model.\u00a0\u00a0 Tool outputs with the <strong>Add To Display <\/strong>option checked are added to the display in ArcMap using the variable name. If you want the output of the geoprocessing tool to display in ArcMap with the actual unique dimension value instead of the name of the variable, connect the output to be displayed to the <em>Collect Value <\/em>tool, right-click on it, then check on\u00a0the <strong>Add To Display <\/strong>option. If the model will be run from the model tool dialog box, then make the output of <em>Collect Value <\/em>a model parameter, since only the output model parameters are added to display.<\/p>\n<p>The same procedure will also\u00a0work for the <em><a href=\"http:\/\/help.arcgis.com\/en\/arcgisdesktop\/10.0\/help\/index.html#\/\/004300000005000000.htm\">Make netCDF Feature Layer<\/a><\/em> and <em><a href=\"http:\/\/help.arcgis.com\/en\/arcgisdesktop\/10.0\/help\/index.html#\/\/004300000007000000.htm\">Make netCDF Table View<\/a><\/em> tools.\u00a0 The following model demonstrates this workflow.\u00a0 Dotted lines in the diagram represent preconditions and are used to explicitly control the order of operations in the model.<\/p>\n<p><a href=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2012\/04\/netCDF_DimensionValuesModel.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-11306\" src=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2012\/04\/netCDF_DimensionValuesModel.png\" alt=\"\" width=\"600\" height=\"645\" \/><\/a><\/p>\n<p>If you would like to learn more about netCDF and multidimensional data, you can start with this topic in the ArcGIS help system:\u00a0\u00a0 <a href=\"http:\/\/help.arcgis.com\/en\/arcgisdesktop\/10.0\/help\/index.html#\/What_is_netCDF_data\/004600000001000000\/\">What is netCDF data?<\/a><\/p>\n"}],"authors":[{"ID":5141,"user_firstname":"Kevin","user_lastname":"Butler","nickname":"Kevin Butler","user_nicename":"kevi6890","display_name":"Kevin Butler","user_email":"KButler@esri.com","user_url":"","user_registered":"2018-03-02 00:16:49","user_description":"Kevin Butler is a Product Engineer on Esri\u2019s Analysis and Geoprocessing Team working as a liaison to the science community.  He holds a Ph.D. in Geography from Kent State University.  Over the past decade he has worked on strategic projects, partnering with customers and other members of the science community to assist in the development of large ecological information products such as the ecological land units, ecological marine units and ecological coastal units.  His research interests include a thematic focus on spatial statistical analytical workflows, a methodological focus on spatial clustering techniques and a geographic focus on Puerto Rico and midwestern cities.","user_avatar":"<img alt='' src='https:\/\/secure.gravatar.com\/avatar\/871537530afdee476917a9da0f9e9ac26665a4226ea71bee234efba5d2441ab2?s=96&#038;d=blank&#038;r=g' srcset='https:\/\/secure.gravatar.com\/avatar\/871537530afdee476917a9da0f9e9ac26665a4226ea71bee234efba5d2441ab2?s=192&#038;d=blank&#038;r=g 2x' class='avatar avatar-96 photo' height='96' width='96' loading='lazy' decoding='async'\/>"}]},"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>Including netCDF Dimension Values in the Name of an Output Layer or Table<\/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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Butler","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/871537530afdee476917a9da0f9e9ac26665a4226ea71bee234efba5d2441ab2?s=96&d=blank&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/871537530afdee476917a9da0f9e9ac26665a4226ea71bee234efba5d2441ab2?s=96&d=blank&r=g","caption":"Kevin Butler"},"description":"Kevin Butler is a Product Engineer on Esri\u2019s Analysis and Geoprocessing Team working as a liaison to the science community. He holds a Ph.D. in Geography from Kent State University. Over the past decade he has worked on strategic projects, partnering with customers and other members of the science community to assist in the development of large ecological information products such as the ecological land units, ecological marine units and ecological coastal units. His research interests include a thematic focus on spatial statistical analytical workflows, a methodological focus on spatial clustering techniques and a geographic focus on Puerto Rico and midwestern cities.","url":"https:\/\/www.esri.com\/arcgis-blog\/author\/kevi6890"}]}},"text_date":"April 27, 2012","author_name":"Kevin Butler","author_page":"https:\/\/www.esri.com\/arcgis-blog\/author\/kevi6890","custom_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/08\/Newsroom-Keyart-Wide-1920-x-1080.jpg","primary_product":false,"tag_data":[{"term_id":25401,"name":"Multidimension","slug":"multidimension","term_group":0,"term_taxonomy_id":25401,"taxonomy":"post_tag","description":"","parent":0,"count":7,"filter":"raw"},{"term_id":27531,"name":"Multidimensional toolbox","slug":"multidimensional-toolbox","term_group":0,"term_taxonomy_id":27531,"taxonomy":"post_tag","description":"","parent":0,"count":2,"filter":"raw"},{"term_id":34261,"name":"netCDF","slug":"netcdf","term_group":0,"term_taxonomy_id":34261,"taxonomy":"post_tag","description":"","parent":0,"count":11,"filter":"raw"}],"category_data":[{"term_id":23341,"name":"Analytics","slug":"analytics","term_group":0,"term_taxonomy_id":23341,"taxonomy":"category","description":"","parent":0,"count":1330,"filter":"raw"},{"term_id":23851,"name":"Data Management","slug":"data-management","term_group":0,"term_taxonomy_id":23851,"taxonomy":"category","description":"","parent":0,"count":921,"filter":"raw"}],"product_data":[],"primary_product_link":"https:\/\/www.esri.com\/arcgis-blog\/","_links":{"self":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/blog\/122811","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/types\/blog"}],"author":[{"embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/users\/5141"}],"replies":[{"embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/comments?post=122811"}],"version-history":[{"count":0,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/blog\/122811\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/media?parent=122811"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/categories?post=122811"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/tags?post=122811"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/industry?post=122811"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/product?post=122811"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}