Micrometeorological Measurements & Modeling

START:
January 17, 2017
DURATION:
MWF 1:00-1:50
ID:
METR 4603.001

INSTRUCTORS:

Evgeni Fedorovich
Professor; Edith Kinney Gaylord Presidential Professor
Petra Klein
Professor; Edith Kinney Gaylord Presidential Professor

Address

National Weather Center, Room 5930, 120 David L. Boren Blvd, Norman, OK 73072   View map

Categories

Spring 2017

Time: Monday, Wednesday and Friday 1:00-1:50
Room: NWC 5930
Instructor: Fedorovich & Klein
Micrometeorological Measurements and Modeling
METR 4603/5603
Spring 2017 Syllabus*
General Information
Are you interested in understanding the basic meteorological processes in the atmospheric
surface layer – the lowest portion of the atmosphere? Do you want to get a hands-on experience in
measuring and modeling turbulent airflow in the surface layer? If yes, this course is a right choice
for you!
METR4603/5603 provides an introduction to Micrometeorology through exposing students to the
contemporary measurement and modeling/parameterization techniques employed to quantify
physical processes in the atmospheric surface layer. An emphasis is placed on applications in
microclimatology, air pollution meteorology, and atmospheric modeling. We will discuss the
structure and diurnal variation of the atmospheric boundary layer, study the basic theories of
turbulent flows, consider dynamics and thermodynamics of the atmospheric flow on microscales,
formulate and apply a variety of turbulence models employed in micrometeorology, and
investigate how surface properties affect transport of energy, water, and gases between the earth
and the atmosphere.
The course will be taught as a mix of in-classroom
lectures, practical exercises, and hands-on
activities with both meteorological instruments
and surface-layer model tools. Observational data
collected by various surface observation networks
and with the Collaborative Lower Atmosphere
Mobile Profiling System will be processed and
analyzed. You will develop your own data analysis
routines, and use surface-layer models and
parameterizations in conjunction with observations.
Matlab will be used for data processing, and you will be expected to work with Matlab and write
Matlab scripts. You will be introduced to Matlab in class with examples of data analysis scripts
being presented and explained.
Instructors
Dr. Petra Klein, School of Meteorology, NWC 5339, Phone: 405 325 1631
E-mail: pkklein@ou.edu
Dr. Evgeni Fedorovich, School of Meteorology, NWC 5419, Phone: 405 325 1197
E-mail: fedorovich@ou.edu
Time and place
MWF 1:00 – 1:50 pm, NWC 5930
Office hours: W 2:00 – 3:00 pm or by appointment
*The instructors reserve the rights to alter any or all stated policies if they feel it is in the best interests of students in this class. Any
changes to the proposed Syllabus will be announced in class.
Recommended textbook
S. Pal Arya, 2001: Introduction to Micrometeorology, Academic Press.
Additional Literature
Foken, T., 2008: Micrometeorology, Springer.
Kaimal, J. C., and J. J. Finnigan, 1994: Atmospheric Boundary Layer Flows – Their Structure and
Measurement, Oxford University Press.
Garratt, J. R., 1992: The Atmospheric Boundary Layer, Cambridge University Press.
Stull, R. B., 1988: An Introduction to Boundary Layer Meteorology, Kluwer Academic Publishers.
Required Software
We will work with Matlab pretty much all semester long. Matlab is installed on the Linux machines
in NWC 5720 and in the Student Mac Lab. If students prefer to install Matlab on their personal
computers, Matlab student licenses are available at the bookstore for approximately $100.
Web Sites
You can find the main web site for this class on Canvas (https://canvas.ou.edu). Please note that
students enrolled in METR 4603-001 have been added to the Canvas course for METR 5603-001
and you should see this course listed under your available courses. Important course materials
(lecture notes, assignments, grades, etc.) and announcements will all be posted in the Canvas
METR 5603 course.
Grading
Homework Assignments (5 total) 25%
2 exams (February and April) 25% (each)
Semester Project 25%
An excuse for missing an exam must be provided to the instructor before each exam begins. Late
homework will not be accepted. All exams are closed book exams (textbooks and lecture notes
cannot be used), but students are allowed to prepare and use their own notes (maximum 2
pages long).
Important Dates
1st In-Class Exam: Wednesday, March 01, 2017
2nd In-Class Exam: Monday, April 24, 2017
If any changes occur to these dates, they will be announced minimum one week in advance.
The instructors will be working with the students to identify topics for the semester projects. Each
student has to submit an independently written report. The deadline for the project reports
is Sunday, April 30 2017. During the last week of classes (05/01-07/17) oral presentations of
the student projects are scheduled.
*The instructors reserve the rights to alter any or all stated policies if they feel it is in the best interests of students in this class. Any
changes to the proposed Syllabus will be announced in class.
Assignment Instructions
All lab and homework assignments are individual assignments and, while some teamwork is
allowed and encouraged in the data analysis parts of the assignments, sharing of computer code
or word documents is not allowed and will be treated as a form of academic misconduct.
The only exceptions are that figures can be shared if a lab team worked together on the data
analysis. The write-up must however still be done by each student individually and the discussion
of the figures should demonstrate that the student writing the report contributed to the data
analysis and plotting of results (i.e. the student knows what is plotted and what the results mean)
and did not just copy the plots from somebody else. Any form of copying text from reports of
previous years, from the web, or from any other publicly available materials without
making references will be treated as plagiarism, and actions will be taken according to the
academic misconduct code further described below.
Attendance and Make-up Policy
In this class, participation will be strongly encouraged. Note that some materials will be available
only during class, and solutions to example problem sets will be presented. For both of these
reasons, we expect 100% attendance to be the norm. Only under extraordinary circumstances
make-ups will be given if an exam is missed. You MUST notify the instructors BEFORE the
exams. Sickness will be accepted as an excuse only if accompanied by a note from a
physician.
Other Important Policies
Reasonable Accommodation: The University of Oklahoma is committed to providing reasonable
accommodation for all students with disabilities. Students with disabilities who require
accommodations in this course are requested to speak with the professor as early in the semester
as possible. Students with disabilities must be registered with the Disability Resource
Center prior to receiving accommodations in this course. The Disability Resource Center is
located in Goddard Health Center, Suite 166, phone 405/325-3852 or TDD only 405/325-4173.
Academic Misconduct: All provisions of the Norman Campus Academic Misconduct Code shall
apply in cases of academic dishonesty. Academic misconduct is defined as “any act that improperly
affects the evaluation of a student’s academic performance or achievement.” All faculty members
at the University of Oklahoma expect academic integrity from each student. Misconduct such as
plagiarism, fabrication, and fraud, as well as attempting to commit such acts or assisting others in
so doing, will not be tolerated.
We strongly recommend that you carefully review the Student’s Guide to Academic
Integrity, which is available at: http://integrity.ou.edu/students_guide.html. It provides
detailed and clear information about what is all considered cheating, the process for
reporting misconduct, and possible sanctions. Additionally, we would like to specifically point
out that sharing of computer code (such as e.g. Matlab scripts) for homework assignments is not
allowed and will be treated as a form of academic misconduct.
Tentative Schedule and list of course topics:
A detailed schedule is provided as a separate document, which is posted on Canvas. All important
course activities and deadlines are listed in this schedule. So please make sure you are familiar
with the schedule.
Date Event Instructor Textbook Chapter Topic Assignments Deadlines
Monday, January 2, 17
Tuesday, January 3, 17
Wednesday, January 4, 17
Thursday, January 5, 17
Friday, January 6, 17
Saturday, January 7, 17
Sunday, January 8, 17
Monday, January 9, 17
Tuesday, January 10, 17
Wednesday, January 11, 17
Thursday, January 12, 17
Friday, January 13, 17
Saturday, January 14, 17
Sunday, January 15, 17
Monday, January 16, 17 Martin Luther King Day
Tuesday, January 17, 17
Wednesday, January 18, 17
Lecture 1:
Begin of
classes Klein/Fedorovich 1
Organizational Remarks and
General Introduction
Thursday, January 19, 17
Friday, January 20, 17 Lecture 2 Klein/Fedorovich 1
Overview of Processes in Atm.
Boundary Layer
Write a short review of the
scopes of Micrometeorology
and propose topics for semester
project
Saturday, January 21, 17
Sunday, January 22, 17
Monday, January 23, 17 Lecture 3 Fedorovich 3 Radiation Balance near the Surface
Tuesday, January 24, 17
Wednesday, January 25, 17 Lecture 4 Fedorovich 2 Surface Energy Balance
Thursday, January 26, 17
Submit review and
discription of your
interests
Friday, January 27, 17 Lecture 5 Fedorovich 4 Soil Temperature and Heat Transfer HW1: Solve problem 7 from p.
61 of textook
Saturday, January 28, 17
Sunday, January 29, 17
Monday, January 30, 17 Lecture 6 Fedorovich 5 Review of BL Thermodynamics – I
Tuesday, January 31, 17
Date Event Instructor Textbook Chapter Topic Assignments Deadlines
Wednesday, February 1, 17 Lecture 7 Fedorovich 5 Review of BL Thermodynamics – II
Thursday, February 2, 17 HW1, 10pm
Friday, February 3, 17 Lecture 8 Fedorovich 5
Review of BL Thermodynamics –
Problem Sets
Saturday, February 4, 17
Sunday, February 5, 17
Monday, February 6, 17 Lecture 9 Klein 7,8 Basics of Turbulent Flow – I
Tuesday, February 7, 17
Wednesday, February 8, 17 Lecture 10 Klein 7, 8 Basics of Turbulent Flow – II
Thursday, February 9, 17
Friday, February 10, 17 Lecture 11 Klein 7, 8
Basics of Turbulent Flow – Problem
Sets HW2
Saturday, February 11, 17
Sunday, February 12, 17
Monday, February 13, 17 Lecture 12 Fedorovich 7, 10 Neutral BL and Ekman Model – I
Tuesday, February 14, 17
Wednesday, February 15, 17 Lecture 13 Fedorovich 7, 10 Neutral BL and Ekman Model – II
Thursday, February 16, 17
Friday, February 17, 17 Lecture 14 Fedorovich 7, 10
Neutral BL and Ekman Model –
Problem Sets
Saturday, February 18, 17
Sunday, February 19, 17
Monday, February 20, 17 Lecture 15 Klein 11,13
Thermally Stratified BL- Monin-
Obukhov Similarity Theory – I
Tuesday, February 21, 17
Wednesday, February 22, 17 Lecture 16 Klein 11,13
Thermally Stratified BL- Monin-
Obukhov Similarity Theory – II
Thursday, February 23, 17 HW2, 10pm
Friday, February 24, 17 Lecture 17 Klein 11,13
Thermally Stratified BL- Monin-
Obukhov Similarity Theory –
Problem Sets HW3
Saturday, February 25, 17
Sunday, February 26, 17
Monday, February 27, 17 Lecture 18 Klein/Fedorovich Review Session
Tuesday, February 28, 17
Date Event Instructor Textbook Chapter Topic Assignments Deadlines
Wednesday, March 1, 17 Exam 1
Thursday, March 2, 17
Friday, March 3, 17 Lecture 19 Klein 14 Non-Homogenous BLs – Overview
Saturday, March 4, 17
Sunday, March 5, 17
Monday, March 6, 17 Lecture 20 Klein 14
Non-Homogenous BLs – Internal
BL
Tuesday, March 7, 17
Wednesday, March 8, 17 Lecture 21 Klein 14, 15
Non-Homogenous BLs – Canopy
Flows
Thursday, March 9, 17 HW3, 10pm
Friday, March 10, 17 Lecture 22 Klein 14, 15
Non-Homogenous BLs – Problem
Sets
Saturday, March 11, 17 Springbreak
Sunday, March 12, 17 Springbreak
Monday, March 13, 17 Springbreak
Tuesday, March 14, 17 Springbreak
Wednesday, March 15, 17 Springbreak
Thursday, March 16, 17 Springbreak
Friday, March 17, 17 Springbreak
Saturday, March 18, 17 Springbreak
Sunday, March 19, 17
Monday, March 20, 17 Lecture 17 Klein Other Resources
Exp. Methods for Estimating
Fluxes – Profile/Bulk Methods – I
Tuesday, March 21, 17
Wednesday, March 22, 17 Lecture 18 Klein Other Resources
Exp. Methods for Estimating
Fluxes – Profile/Bulk Methods – II
Thursday, March 23, 17
Friday, March 24, 17 Lecture 19 Klein Other Resources
Exp. Methods for Estimating
Fluxes – Profile/Bulk Meth. –
Problem Sets
HW4: Processing and analysis
of Mesonet data with Matlab
Saturday, March 25, 17
Sunday, March 26, 17
Monday, March 27, 17 Lecture 20 Klein Other Resources
Exp. Meth. for Estimating Fluxes –
Eddy Covariance Methods – I
Tuesday, March 28, 17 HW4, 10pm
Wednesday, March 29, 17 Lecture 21 Klein Other Resources
Exp. Meth. for Estimating Fluxes –
Eddy Covariance Methods – II
Thursday, March 30, 17
Friday, March 31, 17 Lecture 22 Klein Other Resources
Exp. Meth. for Estimating Fluxes –
Eddy Cov. Meth. -Problem Sets
HW5: Calculating Fluxes from
Sonic data with Matlab
Date Event Instructor Textbook Chapter Topic Assignments Deadlines
Saturday, April 1, 17
Sunday, April 2, 17
Monday, April 3, 17 Lecture 23 Klein Other Resources Remote Sensing of PBL Profiles – I
Tuesday, April 4, 17
Wednesday, April 5, 17 Lecture 24 Klein Other Resources Remote Sensing of PBL Profiles – II
Thursday, April 6, 17
Friday, April 7, 17 Lecture 25 Klein Other Resources
Remote Sensing of PBL Profiles –
Problem Sets Lidar and Radiometer Data
Saturday, April 8, 17
Sunday, April 9, 17
Monday, April 10, 17 Lecture 26 Klein Other Resources Intro to Dispersion Models – I
Tuesday, April 11, 17
Wednesday, April 12, 17 Lecture 27 Klein Other Resources Intro to Dispersion Models – II
Thursday, April 13, 17 HW5, 10 pm
Friday, April 14, 17 Lecture 28 Fedorovich 8,9
Turbulent flow modeling – I.
Problem of turbulence closure.
Saturday, April 15, 17
Sunday, April 16, 17
Monday, April 17, 17 Lecture 29 Fedorovich 8,9
Turbulent flow modeling – II.
Parameterization of turbulent
fluxes.
Tuesday, April 18, 17
Wednesday, April 19, 17 Lecture 30 Fedorovich 8,9
Turbulent flow modeling. Practical
exercises.
Thursday, April 20, 17
Friday, April 21, 17 Lecture 40 Fedorovich Review Session
Saturday, April 22, 17
Sunday, April 23, 17
Monday, April 24, 17 Exam 2
Tuesday, April 25, 17
Wednesday, April 26, 17 Lecture 41 Fedorovich 8,9
Turbulence simulation – I. Concepts
of DNS and LES.
Thursday, April 27, 17
Friday, April 28, 17 Lecture 42 Fedorovich 8,9
Turbulence simulation – II.
Animations of simulated BL flows.
Saturday, April 29, 17
Sunday, April 30, 17
Semester Report,
10pm
Date Event Instructor Textbook Chapter Topic Assignments Deadlines
Monday, May 1, 17 Lecture 26 Fedorovich Presentation of Student Projects
Tuesday, May 2, 17
Wednesday, May 3, 17 Lecture 27 Fedorovich Presentation of Student Projects
Thursday, May 4, 17
Friday, May 5, 17 Lecture 28 Fedorovich Presentation of Student Projects
Saturday, May 6, 17
Sunday, May 7, 17
Monday, May 8, 17
Tuesday, May 9, 17
Wednesday, May 10, 17
Thursday, May 11, 17
Friday, May 12, 17 Commencement
Saturday, May 13, 17
Sunday, May 14, 17
Monday, May 15, 17
Tuesday, May 16, 17
Wednesday, May 17, 17
Thursday, May 18, 17
Friday, May 19, 17
Saturday, May 20, 17
Sunday, May 21, 17
Monday, May 22, 17
Tuesday, May 23, 17
Wednesday, May 24, 17
Thursday, May 25, 17
Friday, May 26, 17
Saturday, May 27, 17
Sunday, May 28, 17
Monday, May 29, 17
Tuesday, May 30, 17
Wednesday, May 31, 17

120 David L Boren Blvd., Suite 5900, Norman, OK 73072 (405) 325-6561
TOP