Lenssen et al. (202X): Multi-Year ENSO Predictability Data from Model Analog Forecasts

All raw data, intermediate steps, and final results for three experiments used in the study 'Strong El Niño events lead to robust multi-year ENSO predictability'. The data has been gridded to a common 2x2 degree grid. Nathan Lenssen from the University of Colorado Boulder authored the dataset, which is archived alongside its codebase.

Use Cases

• Evaluating multi-year ENSO predictability based on strong El Niño events as described in the study
• Benchmarking climate model forecasts using the provided model analog forecast data
• Reproducing the analysis from Lenssen et al. (202X) using the full raw data and intermediate results
• Developing new ENSO forecast models based on the gridded observational and model record data

Strengths

• Includes the full raw data, intermediate steps, and final results for all three experiments from the cited study
• Data is consistently gridded to a common 2x2 degree spatial resolution
• Archived and live codebases are provided for reproducibility

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count and total data size are unknown, which may limit suitability assessment
• Last update date is unknown; freshness unverified

Provenance

Source

Nathan Lenssen, University of Colorado Boulder

Collection Method

Data from model analog forecasts issued to predict model or observational records, processed and gridded for the study.

Geography

Likely covers the tropical Pacific region relevant to ENSO, gridded globally at 2x2 degrees.