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- A child might ask their Apple TV or Amazon Echo the question, "What is the weather going to be like in the afternoon... 1000 years from now?". This will not result in an answer today, but theoretically could with several of the actively developed data components and interoperability between them. For example, ecological models such as ED, SIPNET, or DALEC within workflow engines such as PEcAn could pull data from Ameriflux, NARR, BETYdb, DataONE, and NEON, transfer data via Globus, convert data to model input formats via BrownDog, run models on XSEDE resources, and returns a specific result such as temperature/forecast estimate (likely several results from several models). The result can further include additional information such as "if you want to learn more" which links to summarized versions of publications for the utilized models and datasets with DOIs to published papers or datasets in Zenodo or SEAD or executable versions of the the tools themselves (possibly simplified) within HUBzero or Jupyter lab notebooks.