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NASA's Arctic-Boreal Vulnerability Experiment

ABoVE

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The ABoVE Science Cloud (ASC) (Section 2.3 of the Implementation Plan)

Referenced on page A.4-6 in NASA Research Announcement for Terrestrial Ecology: Arctic-Boreal Vulnerability Experiment – Phase 2 NNH18ZDA001N-TE

About the Science Cloud
ABoVE Science Cloud Capabilities
Data Products on the ASC
Large Data Sets on the Science Cloud
Science Cloud Setup Instructions
Webinars
FAQ
About the Science Cloud

The NASA Center for Climate Simulation (NCCS) has partnered with the NASA Carbon Cycle and Ecosystems Office (CCE Office) to create a high performance science cloud for this field campaign. The ABoVE Science Cloud combines high performance computing with emerging technologies and data management with tools for analyzing and processing geographic information to create an environment specifically designed for large-scale modeling, analysis of remote sensing data, copious disk storage for “big data” with integrated data management, and integration of core variables from in-situ networks.  The ABoVE Science Cloud is a collaboration that promises to accelerate the pace of new Arctic science for researchers participating in the field campaign. Furthermore, by using the ABoVE Science Cloud as a shared and centralized resource, researchers reduce costs for their proposed work, making proposed research more competitive. The ABoVE Science Cloud is available to all ABoVE projects. To join the ABoVE, see here. >>

The ABoVE Science Cloud:
  • Provides a shared set of computational and data resources to the ABoVE science team.
  • Enables access to large, common data sets (both observation and model) that are relevant to the ABoVE research goals.
  • Provides a system and collaboration environment by which results may be quickly and readily shared to the ABoVE research community and ultimately to decision makers.
  • Enables researchers to propose larger problems, analytics, and more science than they could address using the capabilities of typical computer workstations.
  • Provides tailored computational, analysis, and data management environments to meet the needs of the individual science projects.
  • Supports researchers with comprehensive services to facilitate the use of advanced information technology, creation of metadata and documentation, and archival of finalized products.
ABoVE Science Cloud Capabilities

The architecture of the ABoVE Science Cloud combines high-performance computing and cloud technologies to create an extremely flexible and agile platform with the following capabilities:

  • Data services nodes are used for persistent services that need to be accessible from outside the science cloud. Virtual systems (either virtual machines or containers) will be deployed on the data services nodes to create web services that can be easily backed up and migrated for high availability.
  • Database nodes in the science cloud can be used for high performance, highly available database requirements.
  • Remote visualization nodes enable server side graphical processing and rendering of data.
  • High performance compute nodes will be used for itinerant or elastic processing requirements capable of supporting 100’s of virtual machines. In the event that a specific researcher or even a web service needs additional processing capability for a short time period, the cloud can be configured to provision additional virtual machines to run processing in parallel and greatly reduce the time to solution.
  • High-speed and high-capacity storage are configured for use throughout the science cloud for a variety of purposes, including redundant, snapshotted home directories for code development, scratch space for scientific processing, and large data storage repositories for public data. Three pre-ABoVE funded investigations are creating data products using MODIS and Landsat data sets currently stored in the science cloud. Proposing investigators can expect to request support and assistance to ingest and manage additional data sets of high importance for ABoVE research (e.g. commercial high-resolution satellite imagery; core observational data identified in the Concise Experiment Plan).
Data Products on the ASC

Data products can be added to the ASC as needed based on the requirements of ABoVE investigators and the needs of the overall ABoVE Science Team. A list of available products in the ASC can be found here, and see below for a list of large data collections on the ASC.

Large Data Sets on the Science Cloud
  • Landsat (186 TB) – Surface reflectance data processed through the EROS Science Processing Architecture (ESPA) are available within the ABoVE study domain for all of the Landsat 5 record, Landsat 7 from 1999 to 2015, and Landsat 8  from 2013 to 2016. Landsat 5 and 7 data are pre-Collection 1 data processed using LEDAPS, while the Landsat 8 data are processed using LSRC and are considered Collection 1.
  • Moderate Resolution Imaging Spectroradiometer (MODIS) (remotely mounted) – Collection 6 MODIS land products processed using MODAPS and available from the Land Processes Distributed Active Archive Center (LP DAAC) can be accessed through the science cloud.
  • Modern Era Retrospective-Analysis for Research and Applications (MERRA) (87 TB) and MERRA-2 (320 TB) – The Modern-Era Retrospective analysis for Research and Applications (MERRA) datasets are accessible through the science cloud. Click on the links for more information on MERRA and MERRA-2.
    View a list of MERRA and MERRA-2 datasets in the ASC.
  • DigitalGlobe (~3 PB) – The National Geospatial Intelligence Agency (NGA) has contracted the use of DigitalGlobe data for US federal government purposes. Data from multiple DigitalGlobe satellites (including data from multiple DigitalGlobe satellites:  IKONOS, GeoEye-1, QuickBird, WorldView-1, -2, and -3) are available in the science cloud. Most of the DigitalGlobe imagery on the ASC is Basic (1B) imagery which has not been orthorectified or converted to reflectance. For more information on how to do this, see the “ASC How To” documents.
Science Cloud Setup Instructions

The ABoVE Science Cloud combines high performance computing with emerging technologies and data management with tools for analyzing and processing geographic information to create an environment specifically designed for large-scale modeling, analysis of remote sensing data, copious disk storage for “big data” with integrated data management, and integration of core variables from in-situ networks.

Webinars

A monthly webinar is held on the 3rd Friday of the month at 1pm Eastern time.

Topics of interest to ASC users are discussed including how to use the system and examples from users. Presentations are recorded and made available from the link below.

Contact Liz Hoy to submit a topic or to find out more information.

FAQ

See this webpage maintained by the NCCS for ASC FAQs.