Meteorology Measurements Lab Help Session

August 21, 2017
M W F 12:00-12:50
METR 3613.010


Klein, Petra
Executive Associate Dean


National Weather Center, Room 1350, 120 David L. Boren Blvd, Norman, OK   View map


Fall 2017





METR 3613 Lectures:


Time and Location:                      M, W, F 12:00 – 12:50 PM, NWC 1350

Help Sessions may be scheduled in NWC 5720 during the F class time. See course schedule for details.


Instructor:                                         Dr. Petra Klein (

NWC 5321, Phone 325-1631

Office hours: W 3:30-4:30 pm or by appointment

(Please note that I also have an office on the 3. Floor in the College office suite. Please contact me by email if you plan to meet me outside of my office hours)



METR 3613 Labs:


METR 3613_011:                            T 12:30 – 2:30 PM, NWC 5302


Joshua Gebauer (

NWC 5648


METR 3613_012:                            R 2:30 – 4:30 PM, NWC 5302

Elizabeth Smith ( )

NWC 5422


The lab instructors will announce their office hours in the lab sections. Please make sure that you use the office hours of all instructors and please do not wait until the last minute with your lab and homework assignments.





  1. Brock, Fred V. and Richardson, Scott J., 2001: Meteorological Measurement Systems, Oxford University
  2. Emeis Stefan, 2010: Measurement Methods in Atmospheric Sciences – In-situ and Remote,

Borntraeger Science Publishers.


Web Sites

You can find the main web site for this class on Canvas: All necessary course materials (lab descriptions, assignments, grades, etc.) and important announcements will be posted on this site. Please become familiar with this site and check it frequently. You have to submit all your lab reports and homework solutions to drop boxes on CANVAS.


Purpose of this Course:

No matter what area of meteorology is of special interest to you, measurements of the atmospheric parameters will undoubtedly influence your work. In any area of science, it is our observations of nature that lead to new theories and new understanding. In meteorology, we cannot hope to make a successful weather prediction unless we have sufficient knowledge of the current state of the atmosphere. The maps we use give us a representation of this state. The models we use ingest this initial state and compute a predicted state for the future. Thus, knowledge of the techniques used to obtain these measurements, the possible flaws in the data collected, and the manipulations performed on the data before they are used are essential to any meteorologist, whether a forecaster or a researcher. This course is designed to provide you with this knowledge.



The course is designed for meteorology majors. The main objective is to provide you with an understanding of the concepts used in performing careful meteorological measurements and to provide an overview of state-of-the art instruments used for these measurements. We will discuss the limitations of the instruments and identify major causes of errors in measurement output. Furthermore, we will teach to you basic procedures of data analysis and interpretation, and you will learn to work effectively in a team.



To facilitate the learning process, this course will use a variety of settings. We will have a mix of standard classroom lectures; hands-on labs; help sessions followed by homework assignments; and field trips. Please review the attached schedule carefully as it provides details about the timing of various activities and related deadlines. It is a good practice to bring hard copies of the b/w lecture notes that are posted on CANVAS to class. This will allow you to easily take notes during the lectures. It is expected that you review the material covered in class and read the relevant chapters of the textbook even when no formal reading assignments are given in class (unannounced quizzes covering the material from the previous lectures can be expected).



All semester long, you will work on lab assignments in a team of 3-5 students. The teams will be formed at the beginning of the semester and we expect them to remain unchanged until the end of the semester. It is in your own best interest that you cooperate well with your team members and effectively work together during the lab experiments and in the analysis of your results.


In order to perform the laboratory experiments successfully and in a timely manner, it is absolutely necessary that you read the lab description before coming to the lab classes. You need to download the description from CANVAS and bring a printed copy to the lab classes. At the beginning of each lab, a quiz will be given to check how well you are prepared to perform the lab exercises. Each quiz will be graded as 10% of the grade corresponding to each lab exercise. If you fail to demonstrate that you are prepared, the lab instructor has the right to exclude you from the labs. Formal lab reports, individually


written by each student, must be submitted 2 weeks after completion of the experiments (see attached schedule for deadlines). An outline and instructions for the lab reports will be handed out and discussed at the beginning of the course. It is very important that you closely follow the instructions. You should come prepared to the labs and have a notebook and ideally also some tables ready on a laptop for recording of data and for taking notes during the labs. This will save you a lot of time in the data analysis and preparation of your lab reports.



The homework assignments will provide you additional hands-on experience in working with meteorological data. In the design of these assignments, we focus on teaching, some basic data processing, statistical data analysis and data presentation skills using state-of-the-art software. We also put emphasis on demonstrating to you the sensitivity of meteorological data towards instrument and exposure errors. Preceding each homework assignment, important information about the assignments will be given in a help session. Please carefully check the attached schedule for the specific dates of these help sessions and related deadlines for the assignments.


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 from previous years, the laboratory descriptions posted on the web, or any other material publicly available without making references will be treated as plagiarism, and actions will be taken according to the academic misconduct code further described below.


Grading and Exams:
5 Lab Assignments, in total:25%
3 Graded Homework Assignments, in total:15%
Two In-Class Exams (October, November, each 20%):40%
Final Comprehensive Exam (December):20%
Important Dates

1st Hourly In-Class Exam:                           Wednesday, October 11, 2017

2nd Hourly In-Class Exam:                         Wednesday, November 15, 2017

Final Exam:                                                        Wednesday, December 13, 2017, 1:30-3:30 pm


For more information on other deadlines see also the detailed schedule, which is posted on CANVAS.


Attendance and Make-up Policy

In this class, participation will be strongly encouraged. Note that some material will be available only during class, and unannounced quizzes will be given. For both of these reasons, we expect 100% attendance to be the norm. Laboratory exercises, help sessions, and fieldtrips absolutely require your attendance and cannot be made up without PRIOR permission, which will be granted on a case-by-case basis, and under extraordinary circumstances.

IF  YOU  MISS A  LAB, YOU  MAY  NOT  USE  SOMEONE  ELSE’S DATA!! Any attempt to  do so

without permission by the instructors will be treated as academic misconduct, and actions will be taken according to the academic misconduct code described further below.

Only under extraordinary circumstances make-ups will be given if an exam is missed. You MUST notify the instructor 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. I expect that you carefully review the Student’s Guide to Academic Integrity, which is available at: It provides detailed and clear information about what is all considered cheating, the process for reporting misconduct, and possible sanctions. Additionally, I would like to specifically point out that sharing of computer code (such as e.g. Matlab scripts) for any METR 3613 homework or lab 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 on the following pages, and also posted as a separate document on CANVAS. All important course activities and deadlines are listed in this schedule. So please make sure you are familiar with the schedule.



DateEventLecturerTopicTextbook Chapters/HW


Sunday, August 6, 2017
Monday, August 7, 2017
Tuesday, August 8, 2017
Wednesday, August 9, 2017
Thursday, August 10, 2017
Friday, August 11, 2017
Saturday, August 12, 2017
Sunday, August 13, 2017
Monday, August 14, 2017
Tuesday, August 15, 2017
Wednesday, August 16, 2017
Thursday, August 17, 2017
Friday, August 18, 2017
Saturday, August 19, 2017
Sunday, August 20, 2017
Monday, August 21, 2017No Class – Solar EclipseUse the time to observe the solar eclipse
Tuesday, August 22, 2017No formal  lab sessionUse the time to write your summary about the solar

eclipse (HW1)

Wednesday, August 23, 2017Lecture 1Petra KleinIntroduction – Course OverviewHW 1: Summary of Solar Eclipse

(mandatory but ungraded!)

Thursday, August 24, 2017No formal  lab sessionUse the time to write your summary about the solar

eclipse (HW1)

Friday, August 25, 2017Lecture 2Petra KleinMeasurement Basics/Surface Observation NetworksEmeis: Ch. 2; BR: Ch. 1
Saturday, August 26, 2017
Sunday, August 27, 2017

Monday, August 28, 2017


Lecture 3


Petra Klein


Data Sampling, Errors and QA


Emeis: Ch. 2; BR: Ch. 13

Deadline: Submit HW 1 (written summary of the solar eclipse) to dropbox on D2L

by 8pm

Tuesday, August 29, 2017Lab IntroJoshua GebauerOrganizational remarks,  team selection,

expectations for lab reports

Deadline: Bring a hard copy of your

elcipse summary to your lab

Wednesday, August 30, 2017Lecture 3Petra KleinBasic ElectronicsBR: Appendix D
Thursday, August 31, 2017Lab IntroElizabeth SmithOrganizational remarks,  team selection,

expectations for lab reports

Deadline: Bring a hard copy of your

elcipse summary to your lab

Friday, September 1, 2017Lecture 4Petra KleinThermometryEmeis: Ch. 3.1; BR: Ch. 4
Saturday, September 2, 2017


DateEventLecturerTopicTextbook Chapters/HW


Friday, September 1, 2017Help SessionPetra Klein, Fred

Carr and others

Info session about METR Exchange programsNWC1350
Saturday, September 2, 2017
Sunday, September 3, 2017
Monday, September 4, 2017Laborday
Tuesday, September 5, 2017Lab 1-Group AJoshua GebauerBasic electronics
Wednesday, September 6, 2017Lecture 5Petra KleinThermometryEmeis: Ch. 3.1; BR: Ch. 4
Thursday, September 7, 2017
Friday, September 8, 2017Lecture 6Petra KleinThermometryEmeis: Ch. 3.1; BR: Ch. 4
Saturday, September 9, 2017
Sunday, September 10, 2017
Monday, September 11, 2017Lecture 7Petra KleinStatic Performance CharacteristicsBR: Ch. 3
Tuesday, September 12, 2017Lab 1-Group BJoshua GebauerBasic electronics
Wednesday, September 13, 2017Lecture 8Petra KleinStatic Performance CharacteristicsBR: Ch. 3
Thursday, September 14, 2017Lab 1-Group CElizabeth SmithBasic electronics
Friday, September 15, 2017Lecture 9Petra KleinStatic Performance CharacteristicsBR: Ch. 3
Saturday, September 16, 2017
Sunday, September 17, 2017

Monday, September 18, 2017


Help Session


Elizabeth Smith

Overview of the HW assignments, access to Mesonet data and intro to simple data analysis in MatlabHW 2: Download Mesonet data files, perform basic data analysis and prepare basic plots with Matlab 

Deadline Lab Report 1 – Group A, 8pm

Tuesday, September 19, 2017Lab 2-Group AJoshua GebauerWind vane calibration
Wednesday, September 20, 2017Help SessionElizabeth SmithFollow-up information about writing of lab reports, reinforce citing of literature, figures, captions etc.
Thursday, September 21, 2017
Friday, September 22, 2017Help SessionPetra Klein and

Elizabeth Smith

QA session about HW 2, NWC 5720
Saturday, September 23, 2017
Sunday, September 24, 2017
Monday, September 25, 2017Lecture 10Petra KleinBarometryEmeis: Ch. 3.3; BR: Ch. 2Deadline Lab Report 1 – Group B, 8pm
Tuesday, September 26, 2017Lab 2-Group BJoshua GebauerWind vane calibration
Wednesday, September 27, 2017Lecture 11Petra KleinHumidity MeasurementsEmeis: Ch. 3.2; BR: Ch. 5Deadline Lab Report 1 – Group C, 8pm
Thursday, September 28, 2017Lab 2-Group CElizabeth SmithWind vane calibration
Friday, September 29, 2017Help Session 5Petra KleinMatlab session 2:  Automated processing of

multiple files, NWC 5720

Deadline: Submit HW 2 to dropbox on

D2L by 9am

Saturday, September 30, 2017


DateEventLecturerTopicTextbook Chapters/HW


Sunday, October 1, 2017
Monday, October 2, 2017Lecture 12Petra KleinHumidity MeasurementsEmeis: Ch. 3.2; BR: Ch. 5Deadline Lab Report 2 – Group A, 8pm
Tuesday, October 3, 2017Lab 3-Group AJoshua GebauerThermistor calibration
Wednesday, October 4, 2017Lecture 13Petra KleinHumidity MeasurementsEmeis: Ch. 3.2; BR: Ch. 5
Thursday, October 5, 2017

Friday, October 6, 2017


Help Session


Petra Klein


Simple analysis of Mesonet data with Matlab, NWC 5720

HW 3: Download Mesonet data files, perform basic data analysis and prepare basic plots

with Matlab

Saturday, October 7, 2017
Sunday, October 8, 2017
Monday, October 9, 2017Lecture 14Petra KleinReview Session: Discussion of old examDeadline Lab Report 2 – Group B, 8pm
Tuesday, October 10, 2017Lab 3-Group BJoshua GebauerThermistor calibration
Wednesday, October 11, 2017Exam 1proctored by

Elizabeth Smith

Deadline Lab Report 2 – Group C, 8pm
Thursday, October 12, 2017Lab 3-Group CElizabeth SmithThermistor calibration
Friday, October 13, 2017Texas Game Day
Saturday, October 14, 2017
Sunday, October 15, 2017
Monday, October 16, 2017Lecture 15Petra KleinDynamic Performance CharacteristicsBR: Ch. 6Deadline Lab Report 3 – Group A, 8pm
Tuesday, October 17, 2017Lab 4-Group AJoshua GebauerTime constant
Wednesday, October 18, 2017Lecture 16Petra KleinDynamic Performance CharacteristicsBR: Ch. 6
Thursday, October 19, 2017
Friday, October 20, 2017Help sessionPetra Klein and TAsQA session about HW3, NWC 5720
Saturday, October 21, 2017
Sunday, October 22, 2017
Monday, October 23, 2017Lecture 17Petra KleinDynamic Performance CharacteristicsBR: Ch. 6Deadline Lab Report 3 – Group B, 8pm
Tuesday, October 24, 2017Lab 4-Group BJoshua GebauerTime constant
Wednesday, October 25, 2017Lecture 18Elizabeth SmithDynamic Performance CharacteristicsBR: Ch. 6 Deadline Lab Report 3 – Group C, 8pm                                                 
Thursday, October 26, 2017Lab 4-Group CElizabeth SmithTime constant
Friday, October 27, 2017Help sessionPetra Klein and

Elizabeth Smith

QA session about HW3, NWC 5720Deadline: Submit HW 3 to dropbox on

D2L by 8pm

Saturday, October 28, 2017
Sunday, October 29, 2017
Monday, October 30, 2017Lecture 19P. KleinPrecipitation measurementsEmeis Ch. 4.1; BR: Ch. 9Deadline Lab Report 4 – Group A, 8pm
Tuesday, October 31, 2017Lab 5-Group AJoshua GebauerRain Gauges


DateEventLecturerTopicTextbook Chapters/HW


Wednesday, November 1, 2017Lecture 20P. KleinAnemometryEmeis: Ch.3.4; BR: Ch. 7
Thursday, November 2, 2017
Friday, November 3, 2017Lecture 21AnemometryEmeis: Ch.3.4; BR: Ch. 7
Saturday, November 4, 2017
Sunday, November 5, 2017
Monday, November 6, 2017Lecture 22P. KleinAnemometryEmeis: Ch.3.4; BR: Ch. 7Deadline Lab Report 4 – Group B, 8pm
Tuesday, November 7, 2017Lab 5-Group BJoshua GebauerRain Gauges
Wednesday, November 8, 2017Lecture 23Elizabeth SmithRadiosonde MeasurementsDeadline Lab Report 4 – Group C, 8pm
Thursday, November 9, 2017Lab 5-Group CElizabeth SmithRain Gauges
Friday, November 10, 2017Help SessionPetra Klein and

Elizabeth Smith

Introduction: Analysis of radiosonde data with

Matlab (HW4), NWC 5720

Saturday, November 11, 2017
Sunday, November 12, 2017
Monday, November 13, 2017Lecture 24Petra KleinReview SessionDeadline Lab Report 5 – Group A, 8pm
Tuesday, November 14, 2017Lab 6-Group A+BMatt Carney/Joshua


Release of radiosonde
Wednesday, November 15, 2017Exam 2Petra Klein

Thursday, November 16, 2017


Lab 6-Group C

Matt Carney/Elizabeth



Release of radiosonde


Friday, November 17, 2017


Help Session


Petra Klein and Elizabeth Smith


QA session about HW4, NWC 5720

HW 4: Download radiosonde and lidar data, prepare basic plots with Matlab, and discuss

the results

Saturday, November 18, 2017
Sunday, November 19, 2017
Monday, November 20, 2017Lecture 25Petra KleinBasics of Remote Sensing and Lidar MeasurementsEmeis: Ch.7Deadline Lab Report 5 – Group B, 8pm
Tuesday, November 21, 2017no Labs use time for HW4
Wednesday, November 22, 2017ThanksgivingDeadline Lab Report 5 – Group C, 8pm
Thursday, November 23, 2017Thanksgiving
Friday, November 24, 2017Thanksgiving
Saturday, November 25, 2017Thanksgiving
Sunday, November 26, 2017Thanksgiving
Monday, November 27, 2017Lecture 26Mike BiggerstaffRadar MeasurementsEmeis: Ch. 7.2.1, BR 9.2.2
Tuesday, November 28, 2017no lab

Wednesday, November 29, 2017

Lecture 27Mike BiggerstaffRadar MeasurementsEmeis: Ch. 7.2.1, BR 9.2.2Deadline: Submit HW 4 to dropbox on

D2L by 8pm

Thursday, November 30, 2017no lab


DateEventLecturerTopicTextbook Chapters/HW


Friday, December 1, 2017Tour of the Okahoma


OCSMeeting point: 1pm @ NWC 1350
Saturday, December 2, 2017
Sunday, December 3, 2017
Monday, December 4, 2017Lecture 28Petra KleinRadiation Balance and Radiation SensorsEmeis: Ch. 6, BR Ch. 10
Tuesday, December 5, 2017no lab
Wednesday, December 6, 2017Lecture 29Petra KleinSurface-Energy BalanceEmeis: Ch. 6, BR Ch. 10
Thursday, December 7, 2017
Friday, December 8, 2017Lecture 30Petra KleinLast lecture – review session
Saturday, December 9, 2017
Sunday, December 10, 2017
Monday, December 11, 2017
Tuesday, December 12, 2017
Wednesday, December 13, 2017Final Exam1:30-3:30pm
Thursday, December 14, 2017
Friday, December 15, 2017
Saturday, December 16, 2017
Sunday, December 17, 2017
Monday, December 18, 2017
Tuesday, December 19, 2017
Wednesday, December 20, 2017
Thursday, December 21, 2017
Friday, December 22, 2017
Saturday, December 23, 2017
Sunday, December 24, 2017
Monday, December 25, 2017