EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Open Source Platform for Federated Spatiotemporal Analysis

Thomas Huang
Thomas Huang
  • Jet Propulsion Laboratory, Pasadena, United States of America (

In recent years, NASA has invested significantly in developing an Analytics Center Framework (ACF) to encapsulate the scalable computational and data infrastructures and to harmonize data, tools and computation resources to enable scientific investigations. Since 2017, the Apache’s Science Data Analytics Platform (SDAP) ( has been adapted by various NASA-funded projects, including the NASA Sea Level Change Portal, GRACE and GRACE-FO missions, the CEOS Ocean Variables Enabling Research and Applications for GEO (COVERAGE) Initiative, etc. With much of existing approaches to Earth Science analysis are focusing on collocating all the relevant data under one system, running on the cloud, this open source platform empowers the global data centers to take on a federated analytics approach. With the growing community of SDAP centers, it is now possible for researcher to interactively analyze observational and model data hosted on different centers without having to collocate or download data to their own computing environment. This talk discusses the application of this professional open source big data analytics platform to establish a growing community of SDAP-based ACFs to enable distributed spatiotemporal analysis from any platform, using any programming languages.

How to cite: Huang, T.: Open Source Platform for Federated Spatiotemporal Analysis, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4203,, 2020

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Display material version 1 – uploaded on 01 May 2020
  • CC1: Comment on EGU2020-4203, Paul PUKITE, 16 May 2020

    Thomas, This is amazing work and to see how much progress has been made over the years.