August 2 - Submit an abstract to CUAHSI’s sessions at the AGU Fall Meeting!

American Geophysical Union (AGU) Fall Meeting

December 11 - 15, 2017 in New Orleans, LA

Deadline to submit is August 2, 2017.

To submit an abstract, please visit https://fallmeeting.agu.org/2017/abstract-submissions/.

Submit an abstract to the following CUAHSI sessions:

ED044. Virtual Community Platforms and Data Tools for Enabling Geoscience Research and Education

Session ID: 25314

Session Description:

Effective research in the geosciences requires a combination of discovering, analyzing, managing, and publishing data. Community platforms and data tools are being developed to aid researchers, students, and educators in accomplishing these tasks so that they can better focus their efforts on addressing current scientific issues. Many tools are available online and can be accessed through services, thus creating Virtual Research Environments that enhance the sharing of data and tools. We solicit contributions that discuss successes and challenges in developing tools, applications, and platforms that enable data discovery, data sharing and publishing, and data management to support the next generation of research in geosciences.

Session Viewer Link: https://agu.confex.com/agu/fm17/preliminaryview.cgi/Session25314

IN013. Challenges and Benefits of Open Source Software and Open Data

Session ID: 23607

Session Description:

Scientists rely on a broad range of software tools and services to conduct their research such as GIS, data hosting and discovery platforms, data processing packages, and modelling suites. The continued development of these tools is essential to improving our understanding of critical geoscience questions. Open source software and open data foster reusing and adopting existing scientific results. Due to the increasing needs for data analysis and infrastructure, earth and space sciences benefits from adopting these practices. In addition, open source software enhances capabilities of researchers, science teams, and new users and allows them to build more capable, reliable, reusable and long-lasting software. Reusing open source software and data can be synergistic and beneficial for research collaborations, as well as challenging to govern. This session discusses ways to address the challenges and benefits of open science, as well as cutting-edge tools and services that support the needs of the community.

Session Viewer Link: https://agu.confex.com/agu/fm17/preliminaryview.cgi/Session23607

H072: Hyper-Resolution Hydrologic Modeling: Progress and Challenges

Session ID: 26938

Session Description:

Growing water stakeholder demands, the availability of accurate, high-resolution terrain and remote sensing data, and rapidly  increasing computational capabilities continue to enable process-based hydrologic modeling at ‘hyper-resolution’ scales, on the order of 10-50m.  For example, flash flood prediction and surface-groundwater coupling in urbanized areas or in steep-terrain requires high spatial and temporal resolution modeling.  Operational forecasting systems, such as the NOAA National Water Model among others, now are developing methods for operational hyper-resolution hydrologic prediction applications.  As such there is now a need to demonstrate and rigorously assess the fidelity of hyper-resolution hydrologic models and flood inundation prediction capabilities.  Papers are solicited that cover a spectrum of topics such as: the trade-off between modeling resolution, accuracy, and computational requirements; real-time flood forecasting/mapping applications; hydrologic/hydraulic model complexity; terrain feature description; model initialization and lateral boundary forcing specification. Contributions discussing novel model evaluation methodologies are also welcome.

Session Viewer Link: https://agu.confex.com/agu/fm17/preliminaryview.cgi/Session26938

Other sessions that may be of interest:

H016: Advances in Understanding Land-Atmosphere Interactions in a Changing Environment

Session ID: 22620

Session Description:

Land-atmosphere interactions are a key component of the Earth system. Atmospheric impacts on land as well as land cover perturbations alter land-atmosphere water and energy fluxes. Such changes have important impacts on weather and climate variability, and hydrometeorological extremes such as heatwaves and drought. However, traditional measurements only provide an incomplete picture of such relationships, resulting in poorly understood linkages of water and energy cycle components, thus limiting current modeling applications. This session invites presentations that address the physical processes (from bedrock to boundary layer) through which land-atmosphere coupling occurs in nature, how large scale field experiments and remote sensing can improve understanding of such processes, how processes are represented in numerical models, and how land-atmosphere interactions contribute to our understanding and prediction capabilities of terrestrial climate and water cycle over a range of spatial and temporal scales.

Session Viewer Link: https://agu.confex.com/agu/fm17/preliminaryview.cgi/Session22620

H026: Catchment Science – Process Understanding and Societal Benefits from Long-term Observation, Research, and Experimentation

Session ID: 27149

Session Description:

Long-term research catchments are sentinel sites that have proved invaluable for detecting, documenting, and understanding environmental change. The small watershed approach fosters hydrological, biogeochemical, and ecological process understanding at a site, while a collective network of catchment observatories offers a broader context to synthesize understanding across a range of climate and geology. Also, experimental manipulations designed to assess the effects of land management and climate change are more readily interpreted in well-understood systems. Multi-catchment comparisons at various temporal and spatial scales provide information needed to manage ecosystems, and to inform hydrological or Earth systems models. In this session, we seek contributions from observatory, long-term, and experimental catchment studies that include analysis of processes and temporal trends. We especially encourage submissions that illustrate the societal relevance of catchment science.

Session Viewer Link: https://agu.confex.com/agu/fm17/preliminaryview.cgi/Session27149