Probabilistic Forecast Guidance for Severe Thunderstorms Based on the Identification of Extreme Phenomena in Convection-Allowing Model Forecasts
By R. Sobash, J. Kain, D. Bright, A. Dean, Michael Coniglio, S. Weiss. 2011
139 citations recorded by the source corpus.
Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/9b561b47a11a3d988e1f0c7706b12581ed9c0233
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
- L. Harris
- Shian‐Jiann Lin
- Linjiong Zhou
- Jan‐Huey Chen
- C. Charlton-Perez
- Xi Chen
- Susan P. Ballard
- Peter A. Clark
In Environmental Engineering
In Global and Planetary Change
- L. Harris
- Shian‐Jiann Lin
- Linjiong Zhou
- Jan‐Huey Chen
- C. Charlton-Perez
- Xi Chen
- Susan P. Ballard
- Peter A. Clark
Citations in the corpus
- Analysis of Fractions Skill Score properties for random precipitation fields and ECMWF forecasts (2016, methodology): “Many studies use the FSS for verification of precipitation (e.g. Baldauf et al., 2011; Rennie et al., 2011; Sobash et al., 2011; Romine et al., 2013; Wang et al., 2013a, 2013b).”
- Toward Convective-Scale Prediction within the Next Generation Global Prediction System (2019, background): “…four statistical scores have been widely used in assessing precipitation forecasts throughout the mesoscale prediction community (Done et al. 2004; Stephan et al. 2008; Weisman et al. 2008; Schwartz et al. 2010; Sobash et al. 2011; Xue et al. 2013; Schumacher and Clark 2014; Müller et al. 2017).”
- Convection‐permitting models: a step‐change in rainfall forecasting (2016, methodology): “Alternatively, a Gaussian smoother can be used as in Sobash et al. (2011).”