The availability and scale of multidimensional scientific data in climate, weather, ocean, and land applications are increasing, and the formats used to store these data have become versatile, now including netCDF, HDF, GRIB, Zarr, and a collection of images in TIFF. This session will describe how to use multidimensional rasters to manage your scientific data, visualize change with charts and voxels, calculate anomalies, model trends, and identify spatial and temporal patterns. You will see examples of performing these workflows using Python in ArcGIS Pro and ArcGIS Image for ArcGIS Online.