[ESIP-all] AGU session call for papers: From Small Scale to Big Data: Enabling Effective Data Use and ReUse in Hydrologic Investigations

[David Arctur via ESIP-all]

Please consider submitting a paper to session 3636, "From Small Scale to Big
Data: Enabling Effective Data Use and ReUse in Hydrologic Investigations²
for the AGU meeting to be held 2014 Dec 15-19 in San Francisco. Abstracts
are due Aug 6, 2014.

https://agu.confex.com/agu/fm14/webprogrampreliminary/Session3636.html

Description: Hydrologic investigations often require several different data
types and sources. Field scientists may need site characterization data, and
need to manage and integrate observations of different processes.  Those
working on developing advanced hydrologic models need spatially
comprehensive forcing and parameter databases, as well as ways to
incorporate information from observations at various temporal and spatial
scales for model evaluation, calibration, and benchmarking. Scientists
working across the spectrum from small-scale in-situ data collection through
global ³big data² sets are increasingly taking advantage of technological
advances, such as cloud computing and ubiquitous web access, to
fundamentally alter the way earth scientists conduct their research. This
session seeks contributions from projects taking novel approaches to
addressing the diversity of hydrologic data toward increased data reuse and
interoperability.  Presentations of both informatics techniques and science
applications are encouraged.

Sponsor: HY - Hydrology
Co-Sponsor(s):
A - Atmospheric Sciences
IN - Earth and Space Science Informatics

Index Terms:
1805 Computational hydrology [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1899 General or miscellaneous [HYDROLOGY]
1910 Data assimilation, integration and fusion [INFORMATICS]


Primary Convener:  
Jennifer Arrigo, CUAHSI, Medford, MA, United States
Co-conveners:  
David K Arctur, University of Texas at Austin; Open Geospatial Consortium
(OGC)
Andrea Clematis, CNR - Consiglio Nazionale delle Ricerche, IMATI Institute
of Applied Mathematics and Computer Science, Genova, Italy

‹
David K Arctur, PhD
Research Scientist, University of Texas at Austin
Research/Academic Advocate, Open Geospatial Consortium (OGC)




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