Articles | Volume 16, issue 20
https://doi.org/10.5194/gmd-16-5979-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-5979-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Overcoming barriers to enable convergence research by integrating ecological and climate sciences: the NCAR–NEON system Version 1
Danica L. Lombardozzi
CORRESPONDING AUTHOR
Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
William R. Wieder
Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO, USA
Negin Sobhani
Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Gordon B. Bonan
Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
David Durden
National Ecological Observatory Network, Battelle, Boulder, CO, USA
Dawn Lenz
National Ecological Observatory Network, Battelle, Boulder, CO, USA
Michael SanClements
National Ecological Observatory Network, Battelle, Boulder, CO, USA
Samantha Weintraub-Leff
National Ecological Observatory Network, Battelle, Boulder, CO, USA
Edward Ayres
National Ecological Observatory Network, Battelle, Boulder, CO, USA
Christopher R. Florian
National Ecological Observatory Network, Battelle, Boulder, CO, USA
Kyla Dahlin
Department of Geography, Environment, and Spatial Sciences, Michigan State University, East Lansing, MI, USA
Sanjiv Kumar
College of Forestry, Wildlife and Environment, Auburn University, Auburn, AL, USA
Abigail L. S. Swann
Department of Atmospheric Sciences, University of Washington, Seattle, WA, USA
Claire M. Zarakas
Department of Atmospheric Sciences, University of Washington, Seattle, WA, USA
Charles Vardeman
Center for Research Computing, University of Notre Dame, Notre Dame, IN, USA
Valerio Pascucci
Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA
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Cited
7 citations as recorded by crossref.
- Integrating Microbial Community Data Into an Ecosystem‐Scale Model to Predict Litter Decomposition in the Face of Climate Change K. Rocci et al.
- A shifting climate: New paradigms and challenges for (early career) scientists in extreme weather research M. Kretschmer et al.
- Best practices in software development for robust and reproducible geoscientific models based on insights from the Global Carbon Budget's dynamic vegetation models K. Gregor et al.
- Plant functional trait uncertainty can outweigh climate scenario uncertainty in tundra ecosystem productivity K. Jay et al.
- Individual canopy tree species maps for the National Ecological Observatory Network B. Weinstein et al.
- Agricultural fertilization significantly enhances amplitude of land-atmosphere CO2 exchange D. Lombardozzi et al.
- Cultivating an ethos of “everyday convergence”: insights from the Multiscale RECIPES Network for food waste reduction A. Wood et al.
7 citations as recorded by crossref.
- Integrating Microbial Community Data Into an Ecosystem‐Scale Model to Predict Litter Decomposition in the Face of Climate Change K. Rocci et al.
- A shifting climate: New paradigms and challenges for (early career) scientists in extreme weather research M. Kretschmer et al.
- Best practices in software development for robust and reproducible geoscientific models based on insights from the Global Carbon Budget's dynamic vegetation models K. Gregor et al.
- Plant functional trait uncertainty can outweigh climate scenario uncertainty in tundra ecosystem productivity K. Jay et al.
- Individual canopy tree species maps for the National Ecological Observatory Network B. Weinstein et al.
- Agricultural fertilization significantly enhances amplitude of land-atmosphere CO2 exchange D. Lombardozzi et al.
- Cultivating an ethos of “everyday convergence”: insights from the Multiscale RECIPES Network for food waste reduction A. Wood et al.
Saved (final revised paper)
Latest update: 14 May 2026
Short summary
We present a novel cyberinfrastructure system that uses National Ecological Observatory Network measurements to run Community Terrestrial System Model point simulations in a containerized system. The simple interface and tutorials expand access to data and models used in Earth system research by removing technical barriers and facilitating research, educational opportunities, and community engagement. The NCAR–NEON system enables convergence of climate and ecological sciences.
We present a novel cyberinfrastructure system that uses National Ecological Observatory Network...