Affiliation:
1. Department of Earth and Environment Boston University Boston Massachusetts USA
2. Department of Forest Resources and Conservation Virginia Tech Blacksburg Virginia USA
3. Department of Biological Sciences Virginia Tech Blacksburg Virginia USA
4. Department of Biological Sciences University of Notre Dame South Bend Indiana USA
5. Department of Environmental Science, Policy and Management University of California Berkeley Berkeley California USA
6. Copernicus Institute of Sustainable Development Utrecht University Utrecht The Netherlands
7. NASA Goddard Space Flight Center Greenbelt Maryland USA
8. U.S. Geological Survey, Eastern Ecological Science Center Laurel Maryland USA
Abstract
AbstractThis paper summarizes the open community conventions developed by the Ecological Forecasting Initiative (EFI) for the common formatting and archiving of ecological forecasts and the metadata associated with these forecasts. Such open standards are intended to promote interoperability and facilitate forecast communication, distribution, validation, and synthesis. For output files, we first describe the convention conceptually in terms of global attributes, forecast dimensions, forecasted variables, and ancillary indicator variables. We then illustrate the application of this convention to the two file formats that are currently preferred by the EFI, netCDF (network common data form), and comma‐separated values (CSV), but note that the convention is extensible to future formats. For metadata, EFI's convention identifies a subset of conventional metadata variables that are required (e.g., temporal resolution and output variables) but focuses on developing a framework for storing information about forecast uncertainty propagation, data assimilation, and model complexity, which aims to facilitate cross‐forecast synthesis. The initial application of this convention expands upon the Ecological Metadata Language (EML), a commonly used metadata standard in ecology. To facilitate community adoption, we also provide a Github repository containing a metadata validator tool and several vignettes in R and Python on how to both write and read in the EFI standard. Lastly, we provide guidance on forecast archiving, making an important distinction between short‐term dissemination and long‐term forecast archiving, while also touching on the archiving of code and workflows. Overall, the EFI convention is a living document that can continue to evolve over time through an open community process.
Funder
Alfred P. Sloan Foundation
Subject
Ecology,Ecology, Evolution, Behavior and Systematics
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