What can we learn from 100,000 freshwater forecasts? A synthesis from the NEON Ecological Forecasting Challenge: scores and targets
Description
This data publication contains the zipped scores parquet database and the targets used in the analysis for the NEON Challenge aquatics synthesis: scores.zip contains evaluated forecast scores, targets.zip contains in-situ water temperature and dissolved oxygen data generated for the Challenge, and Model_descriptions.csv contains the meta data for the submitted models used in the analysis.
scores: this is the primary dataset used in the manuscript. The database includes the scores (forecasts evaluated against observations).
targets: these are the data used to evaluate the forecast (observations) and were also available to forecast teams in near-real time. The R script included in this folder (aquatics_targets.R) is intended for reference only and cannot be run.
Model_descriptions.csv: table of summarised meta data on forecast model approaches submitted by forecast teams. This includes whether the forecasts include (1) or exclude (0) each source of uncertainty/initial conditions/model updating, which covariates are included, and the reported model class.
Files
Model_descriptions.csv
Additional details
Funding
- U.S. National Science Foundation
- NEON RCN: The Ecological Forecasting Initiative RCN: Using NEON-enabled near-term forecasting to synthesize our understanding of predictability across ecological systems and scales 1926388
- U.S. National Science Foundation
- Collaborative Research: CIBR: Cyberinfrastructure Enabling End-to-End Workflows for Aquatic Ecosystem Forecasting 1933016
- U.S. National Science Foundation
- MSA: Macrosystems EDDIE: An undergraduate training program in macrosystems science and ecological forecasting 1926050
- U.S. National Science Foundation
- Graduate Research Fellowship (GRFP) 1840995
- U.S. National Science Foundation
- Collaborative Research: Consequences of changing oxygen availability for carbon cycling in freshwater ecosystems 1753639
- U.S. National Science Foundation
- Collaborative Research: Frameworks: DeCODER (Democratized Cyberinfrastructure for Open Discovery to Enable Research) 2209866