Ice Particle Properties Inferred From Aggregation Modelling
Abstract We generated a large number 105,000 of aggregates composed of various monomer types and sizes using an aggregation model. Combined with hydrodynamic theory, we derived ice particle properties such as mass, projected area, and terminal velocity as a function of monomer number and size. This...
Saved in:
Main Authors: | M. Karrer, A. Seifert, C. Siewert, D. Ori, A. vonLerber, S. Kneifel |
---|---|
Format: | article |
Language: | EN |
Published: |
American Geophysical Union (AGU)
2020
|
Subjects: | |
Online Access: | https://doaj.org/article/dc8e503aaf0144f8b0ee6d019e3d3d7b |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Developing a Cloud Scheme With Prognostic Cloud Fraction and Two Moment Microphysics for ECHAM‐HAM
by: Steffen Muench, et al.
Published: (2020) -
Confronting the Challenge of Modeling Cloud and Precipitation Microphysics
by: Hugh Morrison, et al.
Published: (2020) -
Significant Amplification of Instantaneous Extreme Precipitation With Convective Self‐Aggregation
by: Nicolas A. Da Silva, et al.
Published: (2021) -
A Double‐Moment SBU‐YLIN Cloud Microphysics Scheme and Its Impact on a Squall Line Simulation
by: Xi Zhao, et al.
Published: (2021) -
Data‐Driven Inference of the Mechanics of Slip Along Glacier Beds Using Physics‐Informed Neural Networks: Case Study on Rutford Ice Stream, Antarctica
by: B. Riel, et al.
Published: (2021)