AGU Session on Effective Data Use and ReUse in Hydrologic Investigations - Abstracts due tomorrow (Aug 6th!)

[Jennifer Arrigo]

Dear Colleagues,

CUAHSI is co-convening a session at Fall AGU with David Arctur (UT-Austin) on Effective Data Use and ReUse in Hydrologic Investigations, focusing on big data and interdisciplinary science. This is a poster only session, which we chose in order to keep the theme as is vs. combining with a “related” session and diluting the focus for a possibility of an oral session. One of CUAHSI’s goals in this session is to  highlight the diversity of data approaches members of the water science community are taking.

A poster only session allows us to keep the focus squarely on these goals and on the water science and hydroinformatics community, as well as providing for more in depth discussion for participants. This is also a great opportunity for students to submit and interact with key members of the water science and informatics communities.

We are pleased to have four invited authors who are working on a diversity of exciting projects and research, and will present posters on how they are utilizing cutting edge data and informatics to advance their science.

Cedric David - University of California - Irvine (RAPID)

Corinna Gries - University of Wisconsin (GLEON)

Albert Kettner - UC - Boulder (Boulder (formerly, Dartmouth) Flood Observatory)

Fernando Salas - UT - Austin (World Water Online, EarthCube DisCon BB)

Please consider submitting a poster to our session, and join us at AGU for the session and discussion. 

(Full session description below)

H041: 
From Small Scale to Big Data: Enabling Effective Data Use and ReUse in Hydrologic Investigations: Posters

Submit an Abstract to this Session

Session ID#: 3636

Session 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 “big data” 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.

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 Saleem Arrigo, CUAHSI, Medford, MA, United States

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