Lecture 1 - Introduction

Lecture 2 - Radiation

Lecture 3 - Radiation & Heat Transfer in Soils

Lecture 4 - Intro to Atmospheric Thermodynamics

Lecture 5 - Dry Adiabatic Atmosphere

Lecture 6 - Moist Unsaturated Atmosphere

Lecture 7 - Evapotranspiration/Stability

• Arya Chapter 5
• Stull Chapter 7
• Wallace and Hobbs Chapter 3

Lecture 8 - Basic Equations - Mass, Momentum

Lecture 9 - Basic Equations - Momentum, continued

Lecture 10 - Basic Equations - Momentum, continued

Lecture 11 - Momentum, Scale Analysis and Approximations

Lecture 12 - The Ekman Layer

Lecture 13 - Taylor-Proudman Theorem and Thermal Wind

• Kundu Chapter 14

Lecture 14 - Basic Equations - Mechanical/Thermal Energy

Lecture 15 - Introduction to Turbulence

Lecture 16 - Statistical Tools for Studying Turbulence

• Pope, Chapter 3

Lecture 17 - Turbulent Momentum/Buoyancy Flux Budgets

Lecture 18 - TKE and Buoyancy Variance Budgets

Lecture 19 - Dynamic Instability in the Atmosphere

Lecture 20 - Buckingham Pi Theory and Monin-Obukhov Similarity

• Monin-Obukhov (1954)

Lecture 21 - MOST Relationships and Surfaces Roughness

• Dyer (1974)

Lecture 22 - Integral Forms of Flux-Profile Relationships

Lecture 23 - Turbulent Energy Cascade and Fourier Transforms

• "Weather Prediction by Numerical Process" - Richardson (1922)
• Kolmogorov (1941)
• Pope, Appendix D-G
• Stull, Chapter 8.4-8.6
• Example of taking a Fourier transform
• Example of computing stats (moments and spectra) of turbulence data
• Observation data
• Simulation data

Lecture 24 - Practical Time Series Analysis

• Tennekes and Lumley, Chapter 8

Homework 1 (due: January 24)

• Solutions

Homework 2 (due: March 24)

• Balloon Data

In-class solutions

Take-home solutions

Project 1

Project 2