Sensitivity of Several Performance Measures to Displacement Error, Bias, and Event Frequency
By M. Baldwin, J. Kain. 2006
117 citations recorded by the source corpus.
Subfields: Food Science, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/237c4cfac48941d7a5be263186c89d821a020ca8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Food Science
In Management Science and Operations Research
- C. Ferro
- F. Mesinger
- David B. Stephenson
- Ian T. Jolliffe
- Elizabeth E. Ebert
- D. Bright
- S. Weiss
- Michael Coniglio
In Statistics and Probability
- F. Mesinger
- David B. Stephenson
- C. Ferro
- Elizabeth E. Ebert
- S. Weiss
- D. Bright
- J. Kain
- Ian T. Jolliffe
Citations in the corpus
- Probabilistic Forecast Guidance for Severe Thunderstorms Based on the Identification of Extreme Phenomena in Convection-Allowing Model Forecasts (2011, methodology): “Skill scores and other metrics were computed, including probability of detection (POD), false alarm rate (FAR), probability of false detection (POFD), bias, and threat score (TS) (e.g., Baldwin and Kain 2006).”
- Some Practical Considerations Regarding Horizontal Resolution in the First Generation of Operational Convection-Allowing NWP (2008, background): “…scale of these features is typically smaller than the displacement error (specific location compared to corresponding observed fea- tures), resulting in little or no overlap between the forecast and observations, and a very low ET score (e.g., see Baldwin and Wandishin 2002; Baldwin and Kain 2006).”
- Next-Day Convection-Allowing WRF Model Guidance: A Second Look at 2-km versus 4-km Grid Spacing (2009, background): “As the TS rewards overforecasting (Baldwin and Kain 2006), this skill score was highest for the NAM at q 5 1.”
- Fuzzy verification of high‐resolution gridded forecasts: a review and proposed framework (2008, background): “at which the forecasts should be used to meet certain accuracy requirements. An advantage of fuzzy techniques over object-oriented techniques is that object matching is not required, meaning that they can be applied just as successfully to amorphous fields. (The term ‘fuzzy’ is consistent with the g”
- Equitability Revisited: Why the ''Equitable Threat Score'' Is Not Equitable (2010, background): “Baldwin and Kain (2006) also adopted Marzban’s concept of equitability. Marzban and Lakshmanan (1999) considered measures that satisfied requirement 2 but argued that requirement 1 could be relaxed in the definition of equitability, on the basis that it can be difficult to reconcile with the require”
- Bias Adjusted Precipitation Threat Scores (2008, methodology): “The performance of thedH /dF method when applied to TS in comparison with that of five other measures has been analyzed by Baldwin and Kain (2006) for an idealized case of circular forecast and observed precipitation areas, with results generally favorable to thedH /dF method.”