Improving quantitative precipitation forecasts in the warm season: A USWRP research and development strategy

By J. Fritsch, R. Carbone. 2004

300 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/eea4dcfe200029a1f1a68368e2900249d3bf8e94

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. Juanzhen Sun
2. Q. Xiao
3. Peter Bauer
4. Christoph M. Schär
5. C. Hohenegger
6. Martin Hagen
7. N. Roberts
8. C. Frei

In Global and Planetary Change

1. Juanzhen Sun
2. Peter Bauer
3. Q. Xiao
4. Christoph M. Schär
5. C. Hohenegger
6. Martin Hagen
7. N. Roberts
8. C. Frei

Citations in the corpus

• Multiple-Radar Data Assimilation and Short-Range Quantitative Precipitation Forecasting of a Squall Line Observed during IHOP_2002 (2007, background): “The U.S. Weather Research Program (USWRP) identified quantitative precipitation forecasting (QPF) as one of the major areas with priorities for research and development (Fritsch and Carbone 2004).”
• SAL—A Novel Quality Measure for the Verification of Quantitative Precipitation Forecasts (2008, background): “There are considerable expectations that this new model generation can significantly advance QPF quality and overcome some of the inherent problems with the parameterization of deep convection (Ebert et al. 2003; Fritsch and Carbone 2004).”
• Convection‐permitting models: a step‐change in rainfall forecasting (2016, background): “…processes in convection, including boundary-layer turbulence, turbulent entrainment, cloud microphysics and its interaction with aerosols, downdraught generation and cold pool dynamics, combined with the ability of the models to represent these processes accurately (Fritsch and Carbone, 2004).”
• Issues Regarding the Assimilation of Cloud and Precipitation Data (2007, background): “This includes perhaps half of all current satellite observations that could little skill according to most common measures (Fritsch and Carbone 2004 This is undoubtedly partly a consequence of the cloud and precipitation forecasts being determined by model physical parameterization schemes that are…”
• Summary of Convective Storm Initiation and Evolution during IHOP: Observational and Modeling Perspective (2006, background): “The combined use of operational numerical forecast models with heuristic forecast methods for operational nowcasting (0–6 h) of convective weather is an active area of development and operational implementation at the National Center for Atmospheric Research (NCAR) and in several foreign countries (”
• Atmospheric Predictability at Synoptic Versus Cloud-Resolving Scales (2007, background): “In recent years, interest has grown in the application of EPS to next-generation NWP models (Fritsch and Carbone 2004; Kong et al. 2006) that explicitly resolve moist convective processes [grid spacing 0(1 km)].”