TY - JOUR
T1 - Challenges in Building an End-to-End System for Acquisition, Management, and Integration of Diverse Data from Sensor Networks in Watersheds
T2 - Lessons from a Mountainous Community Observatory in East River, Colorado
AU - Varadharajan, Charuleka
AU - Faybishenko, Boris
AU - Henderson, Amanda
AU - Henderson, Matthew
AU - Hendrix, Valerie C.
AU - Hubbard, Susan S.
AU - Kakalia, Zarine
AU - Newman, Alexander
AU - Potter, Benjamin
AU - Steltzer, Heidi
AU - Versteeg, Roelof
AU - Agarwal, Deborah A.
AU - Williams, Kenneth H.
AU - Wilmer, Chelsea
AU - Wu, Yuxin
AU - Brown, Wendy
AU - Burrus, Madison
AU - Carroll, Rosemary W.H.
AU - Christianson, Danielle S.
AU - Dafflon, Baptiste
AU - Dwivedi, Dipankar
AU - Enquist, Brian J.
N1 - Funding Information:
This work was supported in part by the U.S. Department of Energy under Contract DE-AC02-05CH11231, in part by the WatershedFunction Scientific Focus Area funded by the U.S. Department of Energy, Office of Science, Office of Biological, and Environmental Research under Contract DE-AC02-05CH11231, in part by the National Energy Research Scientific Computing Center (NERSC), U.S. Department of Energy Office of Science User Facility operated under Contract DE-AC02-05CH11231, in part by the Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) data repository operated under Contract DE-AC02-05CH11231, and in part by the Subsurface Insights for development of some of the core abilities used here under Award DE-SC0009732 and Award DE-SC0018447.
Publisher Copyright:
© 2013 IEEE.
PY - 2019
Y1 - 2019
N2 - The U.S. Department of Energy's Watershed Function Scientific Focus Area (SFA), centered in the East River, Colorado, generates diverse datasets including hydrological, geological, geochemical, geophysical, ecological, microbiological and remote sensing data. The project has deployed extensive field infrastructure involving hundreds of sensors that measure highly diverse phenomena (e.g. stream and groundwater hydrology, water quality, soil moisture, weather) across the watershed. Data from the sensor network are telemetered and automatically ingested into a queryable database. The data are subsequently quality checked, integrated with the United States Geological Survey's stream monitoring network using a custom data integration broker, and published to a portal with interactive visualizations. The resulting data products are used in a variety of scientific modeling and analytical efforts. This paper describes the SFA's end-to-end infrastructure and services that support the generation of integrated datasets from a watershed sensor network. The development and maintenance of this infrastructure, presents a suite of challenges from practical field logistics to complex data processing, which are addressed through various solutions. In particular, the SFA adopts a holistic view for data collection, assessment and integration, which dramatically improves the products generated, and enables a co-design approach wherein data collection is informed by model results and vice-versa.
AB - The U.S. Department of Energy's Watershed Function Scientific Focus Area (SFA), centered in the East River, Colorado, generates diverse datasets including hydrological, geological, geochemical, geophysical, ecological, microbiological and remote sensing data. The project has deployed extensive field infrastructure involving hundreds of sensors that measure highly diverse phenomena (e.g. stream and groundwater hydrology, water quality, soil moisture, weather) across the watershed. Data from the sensor network are telemetered and automatically ingested into a queryable database. The data are subsequently quality checked, integrated with the United States Geological Survey's stream monitoring network using a custom data integration broker, and published to a portal with interactive visualizations. The resulting data products are used in a variety of scientific modeling and analytical efforts. This paper describes the SFA's end-to-end infrastructure and services that support the generation of integrated datasets from a watershed sensor network. The development and maintenance of this infrastructure, presents a suite of challenges from practical field logistics to complex data processing, which are addressed through various solutions. In particular, the SFA adopts a holistic view for data collection, assessment and integration, which dramatically improves the products generated, and enables a co-design approach wherein data collection is informed by model results and vice-versa.
KW - Sensor systems and applications
KW - co-design
KW - data integration
KW - data management
KW - data processing
KW - geoscience
KW - sensors
KW - water resources
KW - watershed
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U2 - 10.1109/ACCESS.2019.2957793
DO - 10.1109/ACCESS.2019.2957793
M3 - Article
AN - SCOPUS:85077808577
SN - 2169-3536
VL - 7
SP - 182796
EP - 182813
JO - IEEE Access
JF - IEEE Access
M1 - 8924700
ER -