From bad3b42922de8b23032ac9154d7fea22b7c83b81 Mon Sep 17 00:00:00 2001
From: github-actions Total forecasts submitted to the EFI-USGS Challenge 990 993 Most recent data for model training Thomas, R. Q., Boettiger, C., Carey, C. C., Dietze, M. C., Johnson, L. R., Kenney, M. A., et al. (2023). The NEON Ecological Forecasting Challenge. Frontiers in Ecology and the Environment, 21(3), 112–113. https://doi.org/10.1002/fee.2616 Thomas, R. Q., Boettiger, C., Carey, C. C., Dietze, M. C., Johnson, L. R., Kenney, M. A., et al. (2023). The NEON Ecological Forecasting Challenge. Frontiers in Ecology and the Environment, 21(3), 112–113. https://doi.org/10.1002/fee.2616 Only the top performing models from the last 30 days are shown. Forecasts submitted on 2024-12-29 Forecasts submitted on 2024-12-30 Forecast summaries are available here :::Why a forecast
Why a forecast
Contact
Acknowledgements
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We thank the EFI community for feedback on the design of the Challenge. This material is based upon work supported by the National Science Foundation under Grant DEB-1926388.
Page last updated on 2024-12-30
We thank the EFI community for feedback on the design of the Challenge. This material is based upon work supported by the National Science Foundation under Grant DEB-1926388.
Page last updated on 2024-12-31On this page
Most recent forecasts
River Chlorophyll-a
Forecast analysis
Aggregated scores
Scores are shown by reference date and forecast horizon (in days).
Scores are averaged across all submissions of the model with a given horizon or a given reference_datetime
using submissions made since 2023-12-31.
+
Scores are averaged across all submissions of the model with a given horizon or a given reference_datetime
using submissions made since 2024-01-01.
Learn about the continous ranked probablity score here
The following table lists all the sites in the EFI-USGS Ecological Forecasting Challenge. The columns with “theme” names incidate whether that site is included in that theme’s target file.
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