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Award Abstract #1343785

Title: EarthCube Building Blocks: Integrating Discrete and Continuous Data

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Initial Amendment Date: September 10, 2013
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Latest Amendment Date: September 10, 2013
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Award Number: 1343785
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Award Instrument: Standard Grant
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Program Manager: Eva E. Zanzerkia
GEO Directorate For Geosciences
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Start Date: September 15, 2013
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End Date: August 31, 2016 (Estimated)
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Awarded Amount to Date: $899,999.00
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Investigator(s): David Maidment maidment@mail.utexas.edu (Principal Investigator)
Ethan Davis (Co-Principal Investigator)
Alva Couch (Co-Principal Investigator)
Daniel Ames (Co-Principal Investigator)
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Sponsor: University of Texas at Austin
101 E. 27th Street, Suite 5.300
Austin, TX 78712-1532 (512)471-6424
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NSF Program(s): EarthCube
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Program Reference Code(s): 7433
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Program Element Code(s): 8074


Geoscience information is defined on both discrete and continuous spatial domains. Discrete

spatial domains include point locations of observations at measurement sites and GIS coverages

of point, line and area features used for observation and data interpretation. Continuous

spatial domains are used in geophysical fluid sciences such as for the atmosphere, oceans,

and land subsurface to describe arrays of measured or modeled variables defined on a mesh

of uniformly spaced points. Data defined on either discrete or continuous spatial domains

may also vary discretely or continuously in time, ranging from one-time samples, to samples

at random points of time, to samples at regularly spaced intervals of time. This project

builds upon previous work called "Crossing the Digital Divide" focused on integrated discovery

of common information themes including precipitation in discrete data from the CUAHSI hydrologic

information system and continuous data from the Unidata THREDDS data server. This project

will advance that work by investigating in the first year creating new technologies for publishing

and discovery of information through the Global Earth Observation System of Systems (GEOSS)

Common Infrastructure, the definition of a Common Information Model for discrete and continuous

data, development of shard software tools for using this Common Information Model, and extension

of the concepts to similar information in the Polar, Ocean and Solid Earth Sciences.

This work builds on existing NSF data infrastructures and extends them in a reasonable way between two domains, Hydrology and Atmospheric Sciences, which are closely related intellectually, but have very different data environments. Some

further extension into the Polar, Ocean and Solid Earth Sciences is also attainable. The project include the engagement of an international spectrum of collaborators

through the Global Earth Observing System of Systems.


Note:  When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).

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Jiri Kadlec, Bryn StClair, Daniel P. Ames, Richard Gill. "WaterML R Package for Managing Ecological Experiment Data on a CUAHSI HydroServer," Ecological Informatics,, v.28, 2015, p. 19. 


Please report errors in award information by writing to: awardsearch@nsf.gov.



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