SOTO is a suite of tools presented through an interactive, web-based visualization front end. It provides access to a broad range of satellite-derived products and key parameters of interest to the oceanographic community. SOTO facilitates visual exploration and comparative analysis of physical oceanographic data, enabling scientific oceanographic, climate, and related research.

• To best experience SOTO, we recommend using a recent version of one of the following browsers:  Google Chrome, Mozilla Firefox, or Apple Safari.  (Note that Internet Explorer is not currently supported.)  Additionally, we recommend that prior to first loading the new SOTO, you clear your browser's cache.

High-level Tool for Interactive Data Extraction / L2 Subsetting Services (HiTIDE)  allows users to subset and download popular PO.DAAC level 2 (swath) datasets. Users can search across a wide variety of parameters, such as variables, sensors and platforms, and filter the resulting data based on spatial and temporal boundaries of interest to the user. HiTIDE goes even further, offering instant previews of variable imagery, allowing users to rapidly find data of interest for download and further, rigorous scientific analysis. HiTIDE's user interface is powered by a set of web services that facilitate machine to machine interoperability.

Search, discover, visualize, refine, and access NASA Earth Observation data within the PO.DAAC Cloud.

Harmony aims to increase usage and ease of use of EOSDIS' data, focusing on opportunities made possible by cloud-accessible data.

Continually download PO.DAAC data products from the cloud.

Tutorials and Software for interacting with data in the PO.DAAC Cloud.

PO.DAAC created a GitHub for hosting all PO.DAAC code. Each record in the inventory was tagged with labels to indicate the language of the script and the functionality. A standard Apache 2.0 license  was also added to the script. Each script was added to PO.DAAC’s GitHub and exposed to code.nasa.gov through a JSON file.

OPeNDAP enables remote datasets to be accessed through familiar data analysis and visualization packages, just as if they resided locally on the user's machine. OPeNDAP handles transport, translation and subsetting of data residing in most Earth science data formats.