SAL—A Novel Quality Measure for the Verification of Quantitative Precipitation Forecasts

By Heini Wernli, M. Paulat, Martin Hagen, C. Frei. 2008

393 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/a838079013b3cc17e9e0d18add90a26ecc80ef6c

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. Elizabeth E. Ebert
2. Barbara Casati
3. B. Brown
4. Bjorn Stevens
5. William Gallus
6. Johannes Quaas
7. A. Seifert
8. Eric Gilleland

In Global and Planetary Change

1. Barbara Casati
2. Elizabeth E. Ebert
3. B. Brown
4. Bjorn Stevens
5. William Gallus
6. Johannes Quaas
7. A. Seifert
8. Eric Gilleland

Citations in the corpus

• Toward Better Understanding of the Contiguous Rain Area (CRA) Method for Spatial Forecast Verification (2009, methodology): “…method, the method for object-based diagnostic evaluation (MODE; Davis et al. 2006, 2009), hierarchical cluster analysis (Marzban and Sandgathe 2006, 2008), Procrustes shape analysis (Michaes et al. 2007; Lack et al. 2009), and the structure–amplitude–location (SAL) method of Wernli et al. (2008).”
• Added value of convection permitting seasonal simulations (2013, methodology): “3.4.2 is in good agreement with findings by Wernli et al. (2008) who compared high resolution precipitation forecasts with coarser scale global model forecasts.”
• The Integrated Nowcasting through Comprehensive Analysis (INCA) System and Its Validation over the Eastern Alpine Region (2011, methodology): “Here, we use one of the new object-oriented methods, Structure–Amplitude– Location (SAL; Wernli et al. 2008) to evaluate the INCA forecast skill and compare it with that of the ALADIN limited-area model, in addition to classical point verification.”
• Large‐eddy simulations over Germany using ICON: a comprehensive evaluation (2017, methodology): “To verify the 3D distribution of precipitation fields, the objectbased verification method 3D-SALH, following Wernli et al. (2008) and Zhang et al. (2015), is employed.”
• The Method for Object-Based Diagnostic Evaluation (MODE) Applied to Numerical Forecasts from the 2005 NSSL/SPC Spring Program (2009, methodology): “Wernli et al. (2008) pursued a similar strategy in their object-based verification study.”
• A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges (2015, methodology): “This is in line with results from numerical weather prediction forecast [e.g., Wernli et al., 2008; Roberts and Lean, 2008].”
• Simulating North American mesoscale convective systems with a convection-permitting climate model (2017, background): “It was reported that coarse-resolution forecast models produce too many large rain areas and underestimate rainfall intensities (e.g., Davis et al. 2006; Wernli et al. 2008).”
• Intercomparison of Spatial Forecast Verification Methods (2009, background): “Wernli et al. (2008, 2009) take a different approach to features-based verification.”
• Convection‐permitting models: a step‐change in rainfall forecasting (2016, methodology): “Two examples are MODE (Davis et al., 2009) and SAL (Wernli et al., 2008; Hanley et al., 2015).”
• Spatial-temporal fractions verification for high-resolution ensemble forecasts (2013, neutral): “…Rain Area (CRA; Ebert and McBride, 2000), Intensity Scale (Casati et al., 2004), Method for Object-based Diagnostic Evaluation (MODE; Davis et al., 2006), FSS (Roberts and Lean, 2008), Structure, Amplitude and Location (SAL; Wernli et al., 2008), and Procrustes Shape Analysis (Lack et al., 2010).”