Representation of generally mixed multivariate aerosols by the quadrature method of moments: II. Aerosol dynamics

By Choongseok Yoon, R. McGraw. 2004

57 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/cac7305ababa1cdc8e21a82ef9c097633763adea

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. Xiaohong Liu
2. Steven Ghan
3. R. Easter
4. Nicole Riemer
5. Matthew West
6. R. Zaveri
7. Philip J. Rasch
8. Jinho Yoon

In Global and Planetary Change

1. Xiaohong Liu
2. Steven Ghan
3. R. Easter
4. Nicole Riemer
5. Matthew West
6. R. Zaveri
7. Philip J. Rasch
8. Jinho Yoon

In Water Science and Technology

1. R. Easter
2. Nicole Riemer
3. Matthew West
4. Steven Ghan
5. R. Zaveri

Citations in the corpus

• Simulating the evolution of soot mixing state with a particle-resolved aerosol model (2008, background): “Such extensions have been investigated for sectional models [Fassi-Fihri et al., 1997], modal models [Brock et al., 1988], and moment models [Yoon and McGraw , 2004a, b].”
• Toward a Minimal Representation of Aerosols in Climate Models: Comparative Decomposition of Aerosol Direct, Semidirect, and Indirect Radiative Forcing (2012, methodology): “The quad-rature method of moments (QMOM) (McGraw 1997; Wright et al. 2001; Yoon and McGraw 2004; Bauer et al. 2008) provides a computationally efficient statistical representation that makes no assumptions about the aerosol size distribution.”