Teaching

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EAS2655: Quantitative Techniques, Spring 2019

Contact information

Taka Ito (instructur); Office: EST-1102; Email: taka.ito (at) eas.gatech.edu

Filippos Tagklis (Grader); Office: EST-3158 Email: ftagklis (at) gatech.edu

Course summary

Integrated course in mathematical, physical, and computing techniques for application in Earth and Atmospheric Sciences. The objective of this course is to master practical application of basic statistics and differential equations as a set of tools to investigate Earth Science problems. (syllabus)

Github repository

Some sample scripts are available here.

MATLAB tutorial from CS1371

Some useful MATLAB tutorial videos are available here.

Course material

Week 1

Reading material: Statistical distribution (PDF)

Monthly mean temperature of Atlanta (CSV file, MATLAB file)

Homework assignments: see the last page of the handout, due on Friday 18th January.

Week 2

Reading material: Data Visualization (PDF)

Link to M_Map, the mapping package for MATLAB: (web)

Monthly mean surface air tempearture from NCEP reanalysis (netCDF file)

Week 3

Reading material: Hypothesis Testing (PDF)

Homework assignments: see the last 2 pages of the week 3 handout. Due Friday, Feb 1st.

Week 4

Reading material: Regression and Correlation (PDF)

Homework assignments: Exercises (1-4) in page 43 of the week 4 handout. Additional 50% extra credit: advanced exercises (1-4). Due Friday, Feb 8th.

Week 5

Reading material: Testing the significance of Regression and Correlation (PDF)

Exercise for Monday Feb 4th (PDF)

Homework assignments: Exercises (1-6) in page 51-52 of the week 5 handout. Due Friday, Feb 15th.

Week 6

Nino3.4 SST index (mat file)

AMO index (netCDF file)

Homework assignments: HW6 Due Friday, Feb 22th.

Spring 2018 Midterm exam questions

Question, Answer Key

Week 7

Reading material: MLR (PDF)

US census population data (text file)

Atmospheric CO2 at Mauna Loa Observatory (mat file)

Week8, Midterm

Question, Answer Key

Week 9

Reading material: box model (PDF)

Week 9 lab PDF

Homework exercise page 68, due March 15th

Week 10

Slides (PDF)

Reading material: multiple boxes, a system of ordinary differential equations (PDF)

Homework exercise last pages, due Friday March 29th

Week 11

Spring break

Week 12-13

Reading material: partial differential equation, waves (PDF)

Homework #9 PDF

Week 14-15

Reading material: diffusion equation (PDF)

Reading material: Simple ice sheet model, Oerlemans J. (1981) Tellus (PDF)

Icesheet model labPDF

Spring 2018 final exam and answer key

Question (PDF)

Answer key (PDF)

Spring 2018 handout complete version (PDF)

EAS4821/8821: Rotating Tank Seminar, Spring 2019

Contact information

Zak Handlos & Taka Ito

Dye Stirring

Rotating Convection

EAS4305/6305: Physical and Chemical Oceanography, Fall 2018

Contact information

Taka Ito (instructur); Office: EST-1102; Email: taka.ito (at) eas.gatech.edu

Filippos Tagklis (TA); Office: EST-3158 Email: ftagklis (at) gatech.edu

Daoxun Sun (grader); Office: EST-3158 Email: sdxmonkey (at) gatech.edu

Course summary

The objective of this course is to provide a broad view of the oceans for advanced undergraduate and graduate students interested in marine sciences. The course material covers fundamental principles of physical and chemical oceanography, focusing on the basic processes and mechanisms including principles of fluid dynamics, thermodynamics, aquatic chemistry, gas transfer, photosynthesis and respiration. These principles are applied to large-scale ocean circulation and biogeochemical cycling. (syllabus)

Lecture notes

Week 1 (PPT, PDF)

Week 2 (PPT, PDF)

Week 3 (PPT, PDF)

Week 4 (PPT, PDF)

Week 5 (PPT, PDF)

Week 6-7 (PPT, PDF)

Week 8 (PPT, PDF)

Week 11 (PPT, PDF)

Week 12-13 (PPT, PDF)

Week 14-15 (PPT, PDF)

Week 15-16 (PPT, PDF)

Homework

HW1 (PDF)

HW2 (PDF) and discussion (PPT)

HW3 (PDF) and discussion (PDF)

HW4 (PDF) and discussion (PPT)

TP outline (PDF)

HW5 (PDF), and m_map package (zip archive) originally from here. World Ocean Atlas 2009 T and S data (MATLAB data file), and discussion (PDF)

HW6 (PDF) and discussion (PDF)

Sample midterm (PDF)

Midterm and answers (PDF)

HW7 (PDF), data (text) and discussion (PDF)

HW8 (PDF) and discussion (PDF)

HW9 (PDF), data (MATLAB) and discussion (PDF)

Term paper template (WORD)

Github repository

MATLAB scripts used in the class are stored here.

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