Improvement of Microphysical Parameterization through Observational Verification Experiment
By M. Stoelinga, P. Hobbs, C. Mass, J. Locatelli, Brian A. Colle, R. Houze, A. Rangno, Nicholas A. Bond, B. Smull, R. Rasmussen and 2 more. 2003
195 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/e659ee25029e80db391aba2c970d21bc959cd7ac
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
- Tilmann Gneiting
- E. Grimit
- Veronica J. Berrocal
- Nicholas Alexander Johnson
- Thordis Linda Thorarinsdottir
- M. Clark
- Ying-Hwa Kuo
- A. Slater
In Global and Planetary Change
- Tilmann Gneiting
- E. Grimit
- Veronica J. Berrocal
- Nicholas Alexander Johnson
- Thordis Linda Thorarinsdottir
- M. Clark
- Ying-Hwa Kuo
- A. Slater
Citations in the corpus
- The continuous ranked probability score for circular variables and its application to mesoscale forecast ensemble verification (2006, background): “…observational data is usually only available during field programs where a plethora of special observational platforms are deployed, including in situ aircraft, frequent radiosondes, ground-based radars, and additional surface observations (e.g. Bougeault et al. 2001; Stoelinga et al. 2003).”
- Diagnosis of an Intense Atmospheric River Impacting the Pacific Northwest: Storm Summary and Offshore Vertical Structure Observed with COSMIC Satellite Retrievals (2008, background): “Concurrently, the second Improvement of Microphysical Parameterization through Observational Verification Experiment (IMPROVE-2, during 2001; Stoelinga et al. 2003) focused on assessing cloud micro-physics in orographic precipitation.”
- Probabilistic Quantitative Precipitation Estimation in Complex Terrain (2005, background): “Quantitative estimates of precipitation from atmospheric models are limited by the model’s horizontal resolution, deficiencies in the microphysical parameterization schemes, and insufficient understanding of precipitation processes (Colle et al. 2000; Schultz et al. 2002; Stoelinga et al. 2003).”