*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. 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: [email protected]Dr. Evgeni Fedorovich, School of Meteorology, NWC 5419, Phone: 405 325 1197 E-mail: [email protected]Time and place MWF 1:00 – 1:50 pm, NWC 5930 Office hours: W 2:00 – 3:00 pm or by appointment
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*The instructors reserve the rights toalter anyor all statedpolicies if they feel it is in thebest interests of students in this class.AnychangestotheproposedSyllabuswillbeannouncedinclass.
Spring2017Syllabus*GeneralInformationAre you interested in understanding the basic meteorological processes in the atmosphericsurfacelayer–thelowestportionoftheatmosphere?Doyouwanttogetahands-onexperienceinmeasuringandmodelingturbulentairflowinthesurfacelayer?Ifyes,thiscourseisarightchoiceforyou!METR4603/5603providesanintroductiontoMicrometeorologythroughexposingstudentstothecontemporary measurement and modeling/parameterization techniques employed to quantifyphysical processes in the atmospheric surface layer. An emphasis is placed on applications inmicroclimatology, air pollution meteorology, and atmospheric modeling. We will discuss thestructure and diurnal variation of the atmospheric boundary layer, study the basic theories ofturbulentflows,considerdynamicsandthermodynamicsoftheatmosphericflowonmicroscales,formulate and apply a variety of turbulence models employed in micrometeorology, andinvestigatehowsurfacepropertiesaffecttransportofenergy,water,andgasesbetweentheearthandtheatmosphere.Thecoursewillbetaughtasamixofin-classroomlectures, practical exercises, and hands-onactivities with both meteorological instrumentsand surface-layermodel tools. Observational datacollectedbyvarioussurfaceobservationnetworksand with the Collaborative Lower AtmosphereMobile Profiling System will be processed andanalyzed.Youwilldevelopyourowndataanalysisroutines, and use surface-layer models andparameterizationsinconjunctionwithobservations.Matlabwillbeusedfordataprocessing,andyouwillbeexpectedtoworkwithMatlabandwriteMatlab scripts. Youwill be introduced toMatlab in classwith examples of data analysis scriptsbeingpresentedandexplained.
*The instructors reserve the rights toalter anyor all statedpolicies if they feel it is in thebest interests of students in this class.AnychangestotheproposedSyllabuswillbeannouncedinclass.
RequiredSoftwareWewillworkwithMatlabprettymuchallsemesterlong.MatlabisinstalledontheLinuxmachinesinNWC5720and in theStudentMacLab. If studentsprefer to installMatlabon theirpersonalcomputers,Matlabstudentlicensesareavailableatthebookstoreforapproximately$100.
WebSitesYoucanfindthemainwebsiteforthisclassonCanvas(https://canvas.ou.edu).PleasenotethatstudentsenrolledinMETR4603-001havebeenaddedtotheCanvascourseforMETR5603-001and you should see this course listedunder your available courses. Important coursematerials(lecture notes, assignments, grades, etc.) and announcements will all be posted in the CanvasMETR5603course.
Anexcuseformissinganexammustbeprovidedtotheinstructorbeforeeachexambegins.Latehomeworkwillnotbeaccepted.Allexamsareclosedbookexams(textbooksandlecturenotescannotbeused), but students are allowed toprepare anduse theirownnotes (maximum2pageslong).
Theinstructorswillbeworkingwiththestudentstoidentifytopicsforthesemesterprojects.Eachstudenthastosubmitanindependentlywrittenreport.ThedeadlinefortheprojectreportsisSunday,April302017.During the lastweekof classes (05/01-07/17)oralpresentationsofthestudentprojectsarescheduled.
*The instructors reserve the rights toalter anyor all statedpolicies if they feel it is in thebest interests of students in this class.AnychangestotheproposedSyllabuswillbeannouncedinclass.
AssignmentInstructionsAll lab and homework assignments are individual assignments and, while some teamwork isallowedandencouragedinthedataanalysispartsoftheassignments,sharingofcomputercodeorworddocuments isnotallowedandwillbe treatedasa formofacademicmisconduct.The only exceptions are that figures can be shared if a lab teamworked together on the dataanalysis.Thewrite-upmusthoweverstillbedonebyeachstudentindividuallyandthediscussionof the figures should demonstrate that the student writing the report contributed to the dataanalysisandplottingofresults(i.e.thestudentknowswhatisplottedandwhattheresultsmean)anddidnotjustcopytheplotsfromsomebodyelse.Anyformofcopyingtextfromreportsofprevious years, from the web, or from any other publicly available materials withoutmakingreferenceswillbetreatedasplagiarism,andactionswillbetakenaccordingtotheacademicmisconductcodefurtherdescribedbelow.AttendanceandMake-upPolicyInthisclass,participationwillbestronglyencouraged.Notethatsomematerialswillbeavailableonly during class, and solutions to example problem sets will be presented. For both of thesereasons, we expect 100% attendance to be the norm. Only under extraordinary circumstancesmake-ups will be given if an exam is missed. YouMUST notify the instructors BEFORE theexams. Sickness will be accepted as an excuse only if accompanied by a note from aphysician.OtherImportantPoliciesReasonableAccommodation:TheUniversityofOklahomaiscommittedtoprovidingreasonableaccommodation for all students with disabilities. Students with disabilities who requireaccommodationsinthiscoursearerequestedtospeakwiththeprofessorasearlyinthesemesteras possible. Students with disabilities must be registered with the Disability ResourceCenterprior to receiving accommodations in this course. TheDisabilityResource Center islocatedinGoddardHealthCenter,Suite166,phone405/325-3852orTDDonly405/325-4173.
AcademicMisconduct:All provisions of theNormanCampusAcademicMisconduct Code shallapplyincasesofacademicdishonesty.Academicmisconductisdefinedas“anyactthatimproperlyaffectstheevaluationofastudent’sacademicperformanceorachievement.”Allfacultymembersat theUniversityofOklahomaexpectacademic integrity fromeachstudent.Misconduct suchasplagiarism,fabrication,andfraud,aswellasattemptingtocommitsuchactsorassistingothersinsodoing,willnotbetolerated.
We strongly recommend that you carefully review the Student’s Guide to AcademicIntegrity, which is available at: http://integrity.ou.edu/students_guide.html. It providesdetailed and clear information about what is all considered cheating, the process forreportingmisconduct,andpossiblesanctions.Additionally,wewouldliketospecificallypointoutthatsharingofcomputercode(suchase.g.Matlabscripts)forhomeworkassignmentsisnotallowedandwillbetreatedasaformofacademicmisconduct.TentativeScheduleandlistofcoursetopics:Adetailedscheduleisprovidedasaseparatedocument,whichispostedonCanvas.Allimportantcourseactivities anddeadlinesare listed in this schedule. Sopleasemake sureyouare familiarwiththeschedule.
Date Event Instructor Textbook Chapter Topic Assignments DeadlinesMonday, January 2, 17Tuesday, January 3, 17Wednesday, January 4, 17Thursday, January 5, 17Friday, January 6, 17Saturday, January 7, 17Sunday, January 8, 17Monday, January 9, 17Tuesday, January 10, 17Wednesday, January 11, 17Thursday, January 12, 17Friday, January 13, 17Saturday, January 14, 17Sunday, January 15, 17Monday, January 16, 17 Martin Luther King DayTuesday, 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, 17Sunday, January 22, 17
Monday, January 23, 17 Lecture 3 Fedorovich 3 Radiation Balance near the SurfaceTuesday, January 24, 17Wednesday, 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, 17Sunday, January 29, 17Monday, January 30, 17 Lecture 6 Fedorovich 5 Review of BL Thermodynamics - ITuesday, January 31, 17
Date Event Instructor Textbook Chapter Topic Assignments DeadlinesWednesday, February 1, 17 Lecture 7 Fedorovich 5 Review of BL Thermodynamics - IIThursday, February 2, 17 HW1, 10pm
Friday, February 3, 17 Lecture 8 Fedorovich 5Review of BL Thermodynamics - Problem Sets
Saturday, February 4, 17Sunday, February 5, 17Monday, February 6, 17 Lecture 9 Klein 7,8 Basics of Turbulent Flow - ITuesday, February 7, 17Wednesday, February 8, 17 Lecture 10 Klein 7, 8 Basics of Turbulent Flow - IIThursday, February 9, 17
Friday, February 10, 17 Lecture 11 Klein 7, 8Basics of Turbulent Flow - Problem Sets HW2
Saturday, February 11, 17Sunday, February 12, 17Monday, February 13, 17 Lecture 12 Fedorovich 7, 10 Neutral BL and Ekman Model - ITuesday, February 14, 17Wednesday, February 15, 17 Lecture 13 Fedorovich 7, 10 Neutral BL and Ekman Model - IIThursday, February 16, 17
Friday, February 17, 17 Lecture 14 Fedorovich 7, 10Neutral BL and Ekman Model - Problem Sets
Saturday, February 18, 17Sunday, February 19, 17
Monday, February 20, 17 Lecture 15 Klein 11,13Thermally Stratified BL- Monin-Obukhov Similarity Theory - I
Tuesday, February 21, 17
Wednesday, February 22, 17 Lecture 16 Klein 11,13Thermally 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, 17Sunday, February 26, 17Monday, February 27, 17 Lecture 18 Klein/Fedorovich Review SessionTuesday, February 28, 17
Date Event Instructor Textbook Chapter Topic Assignments DeadlinesWednesday, March 1, 17 Exam 1Thursday, March 2, 17Friday, March 3, 17 Lecture 19 Klein 14 Non-Homogenous BLs - OverviewSaturday, March 4, 17Sunday, March 5, 17
Monday, March 6, 17 Lecture 20 Klein 14Non-Homogenous BLs - Internal BL
Tuesday, March 7, 17
Wednesday, March 8, 17 Lecture 21 Klein 14, 15Non-Homogenous BLs - Canopy Flows
Thursday, March 9, 17 HW3, 10pm
Friday, March 10, 17 Lecture 22 Klein 14, 15Non-Homogenous BLs - Problem Sets
Saturday, March 11, 17 SpringbreakSunday, March 12, 17 SpringbreakMonday, March 13, 17 SpringbreakTuesday, March 14, 17 SpringbreakWednesday, March 15, 17 SpringbreakThursday, March 16, 17 SpringbreakFriday, March 17, 17 SpringbreakSaturday, March 18, 17 SpringbreakSunday, March 19, 17
Monday, March 20, 17 Lecture 17 Klein Other ResourcesExp. Methods for Estimating Fluxes - Profile/Bulk Methods - I
Tuesday, March 21, 17
Wednesday, March 22, 17 Lecture 18 Klein Other ResourcesExp. 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, 17Sunday, March 26, 17
Monday, March 27, 17 Lecture 20 Klein Other ResourcesExp. Meth. for Estimating Fluxes - Eddy Covariance Methods - I
Tuesday, March 28, 17 HW4, 10pm
Wednesday, March 29, 17 Lecture 21 Klein Other ResourcesExp. Meth. for Estimating Fluxes - Eddy Covariance Methods - II
Thursday, March 30, 17
Friday, March 31, 17 Lecture 22 Klein Other ResourcesExp. Meth. for Estimating Fluxes - Eddy Cov. Meth. -Problem Sets
HW5: Calculating Fluxes from Sonic data with Matlab
Date Event Instructor Textbook Chapter Topic Assignments DeadlinesSaturday, April 1, 17Sunday, April 2, 17Monday, April 3, 17 Lecture 23 Klein Other Resources Remote Sensing of PBL Profiles - ITuesday, April 4, 17Wednesday, April 5, 17 Lecture 24 Klein Other Resources Remote Sensing of PBL Profiles - IIThursday, April 6, 17
Friday, April 7, 17 Lecture 25 Klein Other ResourcesRemote Sensing of PBL Profiles - Problem Sets Lidar and Radiometer Data
Saturday, April 8, 17Sunday, April 9, 17Monday, April 10, 17 Lecture 26 Klein Other Resources Intro to Dispersion Models - ITuesday, April 11, 17Wednesday, April 12, 17 Lecture 27 Klein Other Resources Intro to Dispersion Models - IIThursday, April 13, 17 HW5, 10 pm
Friday, April 14, 17 Lecture 28 Fedorovich 8,9Turbulent flow modeling - I. Problem of turbulence closure.
Saturday, April 15, 17Sunday, April 16, 17
Monday, April 17, 17 Lecture 29 Fedorovich 8,9
Turbulent flow modeling - II. Parameterization of turbulent fluxes.
Thursday, April 20, 17Friday, April 21, 17 Lecture 40 Fedorovich Review SessionSaturday, April 22, 17Sunday, April 23, 17Monday, April 24, 17 Exam 2Tuesday, April 25, 17
Wednesday, April 26, 17 Lecture 41 Fedorovich 8,9Turbulence simulation - I. Concepts of DNS and LES.
Thursday, April 27, 17
Friday, April 28, 17 Lecture 42 Fedorovich 8,9Turbulence simulation - II. Animations of simulated BL flows.
Saturday, April 29, 17
Sunday, April 30, 17Semester Report, 10pm
Date Event Instructor Textbook Chapter Topic Assignments DeadlinesMonday, May 1, 17 Lecture 26 Fedorovich Presentation of Student ProjectsTuesday, May 2, 17Wednesday, May 3, 17 Lecture 27 Fedorovich Presentation of Student ProjectsThursday, May 4, 17Friday, May 5, 17 Lecture 28 Fedorovich Presentation of Student ProjectsSaturday, May 6, 17Sunday, May 7, 17Monday, May 8, 17Tuesday, May 9, 17Wednesday, May 10, 17Thursday, May 11, 17Friday, May 12, 17 CommencementSaturday, May 13, 17Sunday, May 14, 17Monday, May 15, 17Tuesday, May 16, 17Wednesday, May 17, 17Thursday, May 18, 17Friday, May 19, 17Saturday, May 20, 17Sunday, May 21, 17Monday, May 22, 17Tuesday, May 23, 17Wednesday, May 24, 17Thursday, May 25, 17Friday, May 26, 17Saturday, May 27, 17Sunday, May 28, 17Monday, May 29, 17Tuesday, May 30, 17Wednesday, May 31, 17
