Upload
others
View
0
Download
0
Embed Size (px)
Citation preview
1
Junhong (June) Wang
New York State MesonetDept. of Atmospheric and Environmental Sciences
University at Albany, SUNY, Albany, NY
Copyright of Junhong (June) Wang
2
Basic Information
Copyright of Junhong (June) Wang
Class # AATM section (10297); AENV section (10296)
Room/Time ES B13; T Th 10:15AM – 11:35AM
Pre-reqs AMAT 113 or 119 and APHY 105 or 140 or 141 and AATM 210
Instructor Junhong (June) Wang, LC-SB32, 442-6389, [email protected]
Office hours: Tues 2:00pm – 4:00pm; also, after class or by appointment.
TA Scott Feldman, ES234, [email protected], Office hours: M&W 1-2pm
Textbooks Required:
Introduction to Error Analysis: The Study of Uncertainties in Physical
Measurements, (2nd Ed.), John R. Taylor (Required)
References:
Meteorological measurements and instrumentation, R.Giles Harrison
ISBN:9781118745809
(https://onlinelibrary.wiley.com/doi/book/10.1002/9781118745793)
Meteorological Measurement Systems, Fred V. Brock and Scott J.
Richardson
Contents Chapters 1 –7 of Introduction to Error Analysis
Selected chapters of Meteorological Measurements and Instrumentation
Other special topics, and lab & field hands-on experiments
http://www.atmos.albany.edu/daes/atmclasses/env327/ENV327syllabus_S20
20_details.pdf
3
Measurement
the assignment of numbers to objects or events
level of measurement (magnitude)
Dimensions (units)
Uncertainty
(Error)
An observation is an act that results in the estimation of the value of a feature property, and involves application of a specified procedure, such as a sensor, instrument, algorithm or process chain.
Copyright of Junhong (June) Wang
What is Measurement (and its components)?
4
Measurement Chain
Copyright of Junhong (June) Wang
5
Observations
• Sensors• Systems• Networks
Data QA &QC
• Calibration
• Monitoring
• Correction
Analysis & products
• VAD
• Visualization
• Merging
Applications
• NWS
• Emergency M.
• Agriculture
• Energy
• …
Goals of NYSM
7
Objectives1. To acquire a basic understanding of the techniques used to
properly analyze and interpret measurements (i.e. Data);
2. To understand and explain the fundamental principles of instruments in atmospheric and environmental measurements.
Critical Thinking Advanced Writing
Information Literacy
Copyright of Junhong (June) Wang
8
Objectives (Learning outcomes)
1. To acquire information: to describe the error analysis techniques and physical principles of instruments
2. To learn how to use information and knowledge in new situations: applicable to future work, other disciplinary and daily life.
3. To develop life long learning skills: to connect observations, data and applications together.
“Measurement is every thing”
“No measurement is perfect”
Copyright of Junhong (June) Wang
9
Text Books & Reading Materials
1. Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements, (2nd Ed.), John R. Taylor
2. Meteorological measurements and instrumentation, R.Giles Harrison ISBN:9781118745809
3. Meteorological Measurement Systems, Fred V. Brock and Scott J. Richardson
4. Lectures in pdf files on class web page
5. “Guide to Meteorological Instruments and Methods of Observation” (https://library.wmo.int/doc_num.php?explnum_id=4147)
Copyright of Junhong (June) Wang
10
Error analysis of measurements
1. 1/23 Introduction (L#1)
2. 1/28 Chapter1: Preliminary description of error analysis
(L#2)
3. 1/30 Chapter 2: How to report and use uncertainties (L#3,
HW#1)
4. 2/4 Chapter 3: Propagation of uncertainties (L#4, HW#2)
5. 2/6 Team project #1: Make measurements and report
(TP#1)
6. 2/11 Chapter 4: Statistical analysis of random
uncertainties (L#5)
7. 2/13 Chapter 5&6: The normal distribution & Rejection of
data (L#6 HW#3)
8. 2/18 Team Project #2 (TP#2 Data)
9. 2/20 Review & HWs (Review)
10.2/25 Mid-term (TA)
Copyright of Junhong (June) Wang
11
Measurements (techniques, applications & hands-on)
Copyright of Junhong (June) Wang
1. 2/27 Overview (L#8)
2. 3/3 Pressure & Temperature & Humidity (L#9)
3. 3/5 Team project #3 (HW#4)
4. 3/10 Wind: Anemometry (L#10)
5. 3/12 Precipitation measurement (L#11 Scott Feldman)
6. 3/24 Team project #4: final research project (L#12)
7. 3/26 Clouds & radiation (L#13)
8. 3/31 Atmospheric sounding systems (#L14)
9. 4/2 Team Project/Lab #4 (Radiosonde launch)
10. 4/7 Radar meteorology (Jerry Brotzge, L#15)
11. 4/9 “Measurements for renewable energy” (Dr. Jeff Freedman???, L#16)
12. 4/14 “Water Treatment Processes” (Dr. John D. Paccione???, NYS Department
of Health L#17_1 & L#17_2)
13. 4/16 Air quality (Dr. Jim Schwab???, ASRC, L#18)
14. 4/21 Mesonet (Jerry Brotzge, L#19)
15. 4/23 Mesonet site visit
16. 4/28 Measurements & Observations for short-term weather forecasts (Scott
Feldman, L#20)
17. 4/30 Team presentation
18. 5/5 Team presentation
19. 5/6 Reading day (Research paper due)
20.5/12 Final exam (01:00-03:00pm)
https://www.albany.edu/registrar/registrar_assets/Spring_2020_Final_Examination_
Schedule.pdf )
12
>88: A85-88: A-82-85: B+79-82: B76-79: B-73-76: C+70-73: C67-70: C-64-67: D+61-64: D58-61: D-<58: E
Grading: Letter grade (A-E) format
• Homework (15%)
• Mid-term exam (25%)
• Team Research Project & Presentation (15%)
• Final research paper (20%)
• Final Exam (25%)
Copyright of Junhong (June) Wang