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There are two ways to make a mosaic dataset that is multidimensional-aware. You can create a mosaic dataset by adding rasters using HDF, netCDF, or GRIB raster file types which will import dimensional data and variable information into the mosaic dataset. The other option is to build out multidimensional information table in order to generate required muiltdimensional filedsmultidimensional fields, metadata, and structure to make the dataset muiltidimensionalmultidimensional-aware. In order to do this you will need to have a field in your mosaic dataset footprint table that identifies the variable in each raster and there needs to be either a time or height field to define one or more dimensions

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ArcGIS Multidimensional Cloud Raster Format is designed for multdimensional multidimensional raster storage and analysis. The enhanced CRF format allows for optimized fast slicing operation and transposing for optimal profiling operation.

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Tutorial

Adding Muiltdimensional Multidimensional Raster Layer

1. Add Data ,  Add Multidimensional Raster Layer,  Select netCDF file , select variables

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• Cloud Raster Format is optimized for writing and reading files and accesses large chunks of data from a large volume of raster data. CRF allows for storing multidimensional datacubes  which contain multiple dimensions and many variables in a single efficient data structure.
• Local Raster Functions are supported with multidimensional raster data. For example, a user can combine temperature data CRF with your relative humidity CRF to create a multidimensional heat index layer by using the heat index raster function. There are over a 100 available raster functions available.
• Image Analyst is required to create the input CRF file via Generate Trend Raster. Prediction using Trend would be very beneficial to NASA sciences for predicting variables of interest at a specific location and future time.
• Tools need to be used in certain order for you to be able to get to the end result which may be learning curve for ordinary user. Use of ArcGIS Notebooks could streamline the workflows for users to run their analysis and focus on the outputs for their research.
• Both the ‘Build Multidimensional’ tool and ‘Build Multidimensional Transpose’ tool are easy to use for creating and accessing large scientific multidimensional datasets in a crf format and for slicing along specifc specific dimensions resulting in optimized performance.
• Scripting for multidimensional raster analysis is now available through arcpy API.
• Map Algebra can be used with multidimensional data for calculating new outputs as deritives derivatives of initial variable of interest.
• Temporal Profile feature allows for quick visualization of multidimensional data as various graphs and charts over time, at specific locations, and different variables of interest, which can be used for comparison and or investigating other variables that influence each other.

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Multidimensional Workflows to Benefit POWER

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• Temporal Profile Charting serves as a basic analysis tool for imagery data in a time series. Visualizing change over time with the temporal profile allows trends to be displayed and compared with variables, bands, or values from other dimensions simultaneously. Currently POWER can only do this for a single point location where as with ESRI Multidimensional Tool users can do temporal profiles for user defined geographic areas with more options on choosing location of interest for returning temporal profile. Using Multidimensional toolset users can also define temporal profile over a defined period of time versus just the average value per time period per slice.
• The Generate Multidimensional Anamoly Anomaly can also benefit POWER by computing the anomaly or deviation from its standard or mean value for each slice in a multidimensional raster. Currently with POWER this can ony only be done using single point user selection.

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