Subjective Verification of Numerical Models as a Component of a Broader Interaction between Research and Operations

By J. Kain, M. Baldwin, P. Janish, S. Weiss, Michael P. Kay, Gregory W. Carbin. 2003

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Next-Day Convection-Allowing WRF Model Guidance: A Second Look at 2-km versus 4-km Grid Spacing (2009, methodology): “Yet, using both objective and subjective verification (Kain et al. 2003a) techniques, KA08 concluded that both models provided virtually identical value in terms of next-day guidance to severe storm forecasters, as both configurations were remarkably similar in their representation of convective…”
A Review of Planetary Boundary Layer Parameterization Schemes and Their Sensitivity in Simulating Southeastern U.S. Cold Season Severe Weather Environments (2015, background): “The accurate representation of these structures is critical in improving forecasts of high-impact weather phenomena for which model output can aid in the assessment of whether necessary conditions for such phenomena would be met (e.g., Kain et al. 2003, 2005, 2013).”
Experiences with 0–36-h Explicit Convective Forecasts with the WRF-ARW Model (2008, background): “The value of such subjective verifications in establishing a useful link between the research and operational forecast communities has recently been discussed by Kain et al. (2003).”