Title: Lecture 4 Effects of Cumulus on Large Scale Heat Budgets
1Lecture 4Effects of Cumulus on Large Scale
Heat Budgets
- Yanai, Esbensen and Chu (1972) The key paper
outlining a framework for diagnostic studies of
convective scale interaction
2Why?
- We can take observations at scales of 100s of km
only - We can notice that dynamic and thermodynamic
evolution of the flow is occurring due to the
impacts of cumulus scale features that we cannot
directly see - We need a consistent framework to assess this
apparent effect
3Define energy
4Relationship with 1st Law
5Mean Governing Equations
condensation
Average product gt includes subgrid scale
correlations, i.e. convection effects
evaporation
radiation
6We can separate convection effects from effects
of mena flow
Apparent Heat Source
Apparent Moisture Sink
Large Scale Response
Convective Scale Forcing
Can be Measured
Can be inferred
7Apparent Moist Static Energy Source
8Integrate Q1
9Integrate Q2
10Check on Accuracy
11Cloud Model(Use Top Hat Averaging)
12Average includes cloud and environment
13Average includes cloud and environment
14Diagnose vertical mass flux
15Generalize a bit more
16Note the observable Q1, Q2 and QR imply effect of
cloud ensemble
17Cloud Model
18Idealization of Clouds
19Conservation Eqs. for individual cloud i
20Saturation Moist Static Energy
21Simplify
22Assumptions
23Assumptions
24Assumptions
25Summary
26Schematic of Model
27Relationship between clouds and Q1, Q2
28(No Transcript)
29Total Ensemble Effect
30Conditions at Cloud Base
31Cloud Base (Continued)
32Iterative Solution
33Diagnostic flow from data
34Subgrid scale forcing Implied from large scale
flow
35Subgrid scale forcing Implied from large scale
flow