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1
Introduction
2
Jacob York
3
Influence
4
The Problem
5
Environment
6
Stratiform Clouds
7
Condensed Water
8
Major Scale
9
Turbulence
10
Microphysical Processes
11
Radiant Transfer
12
Overwhelming Complexity
13
Can we do it
14
Cloud parameterization
15
Cloud system resolving models
16
Background on cloud system resolving models
17
How do we use these models
18
Twoway flow
19
Cloud amount
20
Cloud resolving model
21
Moores Law
22
Alternative SuperParameterization
23
Eastwood propagating
24
What are we claiming
25
Changing the formulation
26
Problems
27
Technical Issues
28
SuperParameterization
29
Runtime
30
Parallelization
31
Conventional parameterization
32
Summary and conclusions
33
Modularity
34
Cloud System Resolving
35
Revolutionary Approach
36
Grand Challenge Problem
Description:
Explore a Bjerknes Lecture from the AGU Fall Meeting 2001, delivered by Davis A. Randall. Delve into the complexities of cloud parameterization, cloud system resolving models, and the revolutionary approach of superparameterization. Examine the influence of Jacob York, environmental factors affecting stratiform clouds, and the role of turbulence and microphysical processes in cloud formation. Investigate the challenges of radiant transfer and the overwhelming complexity of cloud modeling. Learn about the background and applications of cloud system resolving models, including two-way flow and cloud amount predictions. Discover how Moore's Law impacts computational capabilities and the potential of alternative superparameterization techniques. Address technical issues, runtime considerations, and parallelization in cloud modeling. Gain insights into the grand challenge problem of cloud system resolving and its modular approach to revolutionizing atmospheric science.

Bjerknes Lecture: Cloud System Resolving Models and Parameterization - AGU Fall Meeting 2001

AGU
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