A first approach to web services for the National Water Information System

Goodall, Jonathan L.; Horsburgh, Jeffery S.; Whiteaker, T.; Maidment, David R.; Zaslavsky, Ilya

doi:10.1016/j.envsoft.2007.01.005

Cited by 114 publications

(46 citation statements)

References 15 publications

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“…These efforts reflect that funding agencies are increasingly aware of the importance of scientific understanding in human-modified environments, an awareness that will benefit the proposed research activities. (Kratz et al, 2003) National Ecological NSF, USA Ecology Observatory Network (Lowman et al, 2009;Schimel et al, 2007) Global Lake Ecological Lacustrine environments Observatory Network (Hanson, 2007) Fluxnet DOE, USA Land-atmosphere interaction (Baldocchi et al, 2001) National Water USGS, USA Hydrology, Water quality Information System (Goodall et al, 2008) Bonell et al, 2006) Integrating information about human-water feedbacks into these data sets is another challenge for the community. The challenge relates to the determination of the most valuable kinds of information to collate, obtaining data sets that may be privately held or confidentially compiled by government agencies, and by virtue of its nature.…”

Section: Collaborating To Share Data and Make Observationsmentioning

confidence: 99%

Developing predictive insight into changing water systems: use-inspired hydrologic science for the Anthropocene

Thompson

Sivapalan

Harman

et al. 2013

Hydrol. Earth Syst. Sci.

129

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Abstract.Globally, many different kinds of water resources management issues call for policy-and infrastructure-based responses. Yet responsible decision-making about water resources management raises a fundamental challenge for hydrologists: making predictions about water resources on decadal-to century-long timescales. Obtaining insight into hydrologic futures over 100 yr timescales forces researchers to address internal and exogenous changes in the properties of hydrologic systems. To do this, new hydrologic research must identify, describe and model feedbacks between water and other changing, coupled environmental subsystems. These models must be constrained to yield useful insights, despite the many likely sources of uncertainty in their predictions. Chief among these uncertainties are the impacts of the increasing role of human intervention in the global water cycle -a defining challenge for hydrology in the Anthropocene. Here we present a research agenda that proposes a suite of strategies to address these challenges from the perspectives of hydrologic science research. The research agenda focuses on the development of co-evolutionary hydrologic modeling to explore coupling across systems, and to address the implications of this coupling on the long-time behavior of the coupled systems. Three research directions support the development of these models: hydrologic reconstruction, comparative hydrology and model-data learning. These strategies focus on understanding hydrologic processes and feedbacks over long timescales, across many locations, and through strategic coupling of observational and model data in specific systems. We highlight the value of use-inspired and team-based science that is motivated by real-world hydrologic problems but targets improvements in fundamental understanding to support decision-making and management. Fully realizing the potential of this approach will ultimately require detailed integration of social science and physical science understanding of water systems, and is a priority for the developing field of sociohydrology.

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Section: Collaborating To Share Data and Make Observationsmentioning

confidence: 99%

Developing predictive insight into changing water systems: use-inspired hydrologic science for the Anthropocene

Thompson

Sivapalan

Harman

et al. 2013

Hydrol. Earth Syst. Sci.

129

View full text Add to dashboard Cite

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“…A RESTfull (Representational State Transfer) web service is used in the system to access real-time data in IFIS using common data formats (e.g. XML) similar to other web services in different environmental applications 11,12 . …”

Section: Platform Capabilitiesmentioning

confidence: 99%

Interactive Web-based Hydrological Simulation Systems as an Education Platform using Augmented and Immersive Reality

Demir

2014

2014 ASEE North Midwest Section Conference: Engineering Something More

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Recent developments in internet technologies make it possible to manage and visualize large data on the web. Novel visualization techniques and interactive user interfaces allow users to create realistic environments, and interact with data to gain insight from simulations and environmental observations. The hydrological simulation system is a webbased 3D interactive learning environment for teaching hydrological processes and concepts. The simulation system provides a visually striking platform with realistic terrain information, and water simulation. Students can create or load predefined scenarios, control environmental parameters, and evaluate environmental mitigation alternatives. The web-based simulation system provides an environment for students to learn about the hydrological processes (e.g. flooding and flood damage), and effects of development and human activity in the floodplain. The system utilizes latest web technologies and graphics processing unit (GPU) for water simulation and object collisions on the terrain. Users can access the system in three visualization modes including virtual reality, augmented reality, and immersive reality using heads-up displays. The system provides various scenarios customized to fit the age and education level of various users. This paper provides an overview and capabilities of the webbased hydrological simulation system for simulating various flooding and land use scenarios.

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“…While the technical challenges and potential of these large and global science projects are often highlighted [e.g., Goodall et al, 2008;Wood et al, 2011;Laniak et al, 2013], it is also necessary to consider broader issues surrounding engagement with the potential end-users of the science. Here we discuss and reflect on some of these broader issues, highlighting areas for future research, which were raised during the demonstration and evaluation of the hydrological local-scale exemplar in the Environmental Virtual Observatory (EVO) pilot project [Emmett et al, 2014] in three catchments in the UK.…”

Section: Introductionmentioning

confidence: 99%

Digital catchment observatories: A platform for engagement and knowledge exchange between catchment scientists, policy makers, and local communities

Mackay

Wilkinson

Macleod

et al. 2015

Water Resources Research

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Increasing pressures on the hydrological cycle from our changing planet have led to calls for a refocus of research in the sciences of hydrology and water resources. Opportunities for new and innovative research into these areas are being facilitated by advances in the use of cyberinfrastructure, such as the development of digital catchment observatories. This is enabling research into hydrological issues such as flooding to be approached differently. The ability to combine different sources of data, knowledge, and modeling capabilities from different groups such as scientists, policy makers, and the general public has the potential to provide novel insights into the way individual catchments respond at different temporal and spatial scales. While the potential benefits of the digital catchment observatory are large, this new way of carrying out research into hydrological sciences is likely to prove challenging on many levels. Along with the obvious technical and infrastructural challenges to this work, an important area for consideration is how to enable a digital observatory to work for a range of potential end-users, paving the way for new areas of research through developing a platform effective for engagement and knowledge exchange. Using examples from the recent local-scale hydrological exemplar in the Environmental Virtual Observatory pilot project (http://www.evo-uk.org), this commentary considers a number of issues around the communication between and engagement of different users, the use of local knowledge and uncertainty with cloud-based models, and the potential for decision support and directions for future research.

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A first approach to web services for the National Water Information System

Cited by 114 publications

References 15 publications

Developing predictive insight into changing water systems: use-inspired hydrologic science for the Anthropocene

Developing predictive insight into changing water systems: use-inspired hydrologic science for the Anthropocene

Interactive Web-based Hydrological Simulation Systems as an Education Platform using Augmented and Immersive Reality

Digital catchment observatories: A platform for engagement and knowledge exchange between catchment scientists, policy makers, and local communities

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