Diagnosing the Intercept Parameter for Exponential Raindrop Size Distribution Based on Video Disdrometer Observations: Model Development

By Guifu Zhang, Ming Xue, Qing Cao, D. Dawson. 2008

62 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/139b8f2868cd4bc2237bdb88b2c290c6301c1e62

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. Guifu Zhang
2. Edward Brandes
3. Qing Cao
4. Terry Schuur
5. Matthew R. Kumjian
6. A. Seifert
7. Juanzhen Sun
8. C. Bishop

In Global and Planetary Change

1. Edward Brandes
2. Terry Schuur
3. Qing Cao
4. Guifu Zhang

Citations in the corpus

• Polarimetric Radar Rain Estimation through Retrieval of Drop Size Distribution Using a Bayesian Approach (2010, background): “This assumption comes from the general property of DSD moments, which have an approximately Gaussian distribution in the logarithmic domain (Zhang et al. 2008).”
• Uncertainty assessment of current size-resolved parameterizations for below-cloud particle scavenging by rain (2010, unknown): “However, many electromechanical disdrometer observations and theoretical studies have shown that the intercept parameter is far from constant and depends systematically on precipitation type, rainfall intensity, and stage of precipitation development (e.g., Waldvogel, 1974; Sauvageot and Lacaux ,199”