Journal
GLOBAL CHANGE BIOLOGY
Volume 27, Issue 1, Pages 13-26Publisher
WILEY
DOI: 10.1111/gcb.15409
Keywords
accessibility; benchmarking; community cyberinfrastructure; data; data assimilation; ecosystem models; interoperability; reproducibility
Funding
- NSF [1062547, 1458021, 1457897, 1062204, 1261582]
- NASA Terrestrial Ecosystems
- Energy Biosciences Institute
- Amazon AWS education grant
- Strategic Research Council at the Academy of Finland [327214]
- Academy of Finland [297350]
- Business Finland [6905/31/2018]
- UK NERC National Centre for Earth Observation
- National Aeronautics and Space Administration
- NASA CMS [80NSSC17K0711]
- DOE Reducing Uncertainties in Biogeochemical Interactions through Synthesis and Computation Science Focus Area (RUBISCO SFA) - Earth & Environmental Systems Modeling (EESM) Program in the Climate and Environmental Sciences Division (CESD)
- Next-Generation Ecosystem Experiments (NGEE-Arctic and NGEE-Tropics)
- Office of Biological and Environmental Research in the Department of Energy, Office of Science
- United States Department of Energy [DE-SC0012704]
- Australian Research Council (ARC) Centre of Excellence for Climate Extremes [CE170100023]
- ARC [DP190101823]
- NSW Research Attraction and Acceleration Program
- Laboratory Directed Research and Development Program of Oak Ridge National Laboratory [DE-AC05-00OR22725]
- Reducing Uncertainties in Biogeochemical Interactions through Synthesis and Computation Science Focus Area (RUBISCO SFA) in the Earth & Environmental Systems Modeling (EESM) Program
- Next-Generation Ecosystem Experiments (NGEE-Arctic and NGEE-Tropics) Projects in the Terrestrial Ecosystem Science (TES) Program
- NASA program: CARBON
- NASA program: CMS
- Direct For Biological Sciences
- Div Of Biological Infrastructure [1457897, 1062547] Funding Source: National Science Foundation
- Div Of Biological Infrastructure
- Direct For Biological Sciences [1062204] Funding Source: National Science Foundation
- Academy of Finland (AKA) [297350, 327214, 297350] Funding Source: Academy of Finland (AKA)
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In an era of rapid global change, the ability to understand and predict Earth's natural systems lags behind monitoring changes in the biosphere. Improving the information infrastructure through community-driven approaches is crucial to meeting the pressing needs of science and society in the 21st century. This roadmap focuses on key opportunities for community tools to bridge the gap between empirical research and modeling and accelerate the pace of discovery.
In an era of rapid global change, our ability to understand and predict Earth's natural systems is lagging behind our ability to monitor and measure changes in the biosphere. Bottlenecks to informing models with observations have reduced our capacity to fully exploit the growing volume and variety of available data. Here, we take a critical look at the information infrastructure that connects ecosystem modeling and measurement efforts, and propose a roadmap to community cyberinfrastructure development that can reduce the divisions between empirical research and modeling and accelerate the pace of discovery. A new era of data-model integration requires investment in accessible, scalable, and transparent tools that integrate the expertise of the whole community, including both modelers and empiricists. This roadmap focuses on five key opportunities for community tools: the underlying foundations of community cyberinfrastructure; data ingest; calibration of models to data; model-data benchmarking; and data assimilation and ecological forecasting. This community-driven approach is a key to meeting the pressing needs of science and society in the 21st century.
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