Visualizing Multiple Measures of Forecast Quality

By Paul Roebber. 2009

465 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/bc4e4303edf60af11f882cca3aef0209377251a0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. P. Cheung
2. H. Yeung
3. R. Bonanno
4. Matteo Lacavalla
5. S. Sperati

In Global and Planetary Change

1. P. Cheung
2. H. Yeung
3. R. Bonanno
4. Matteo Lacavalla
5. S. Sperati

Citations in the corpus

• A new high‐resolution Meteorological Reanalysis Italian Dataset: MERIDA (2019, methodology): “Another useful tool to check the model performance in reproducing the precipitation field is the Performance Diagram (Roebber, 2009), which gives additional information compared to the HK score.”
• Reprint 1025 Application of optical-flow technique to significant convection nowcast for terminal areas in Hong Kong (2012, methodology): “It was found that within a lead time of one hour, the CSI for various nowcasting algorithms ranges from 0.4 to 0.5 with ROVER performed the best (closer to the top-right corner of the Performance Diagram).”