Keweenaw North Waterway Buoy Bob Shuchman: Colin Brooks: Nate Jessee:

Slides:



Advertisements
Similar presentations
Describing Quantitative Variables
Advertisements

Lesson Describing Distributions with Numbers parts from Mr. Molesky’s Statmonkey website.
1 NCEA Level 1 – Describe ecological characteristics found in two biological communities 2009 Examples of student work.
Advantages & Disadvantages of Dot Plots, Histograms, and Box Plots
Discharge Monitoring Reports (DMRs)
Table of Contents Exit Appendix Behavioral Statistics.
Mathematical Reflection 1 Data Distribution p. 27 1)Use the situation below to help you answer parts (a)-(e) Students collected data from their classmates.
Chapter 5: Understanding and Comparing Distributions
QUANTITATIVE DATA ANALYSIS
Histograms & Summary Data.  Summarizing large of amounts of data in two ways: Histograms: graphs give a pictorial representation of the data Numerical.
Histograms & Summary Data.  Summarizing large of amounts of data in two ways: Histograms: graphs give a pictorial representation of the data Numerical.
Business Math, Eighth Edition Cleaves/Hobbs © 2009 Pearson Education, Inc. Upper Saddle River, NJ All Rights Reserved 7.1 Measures of Central Tendency.
TMP112 Calibration. Slope 1 (Max) Slope 2 (Max) Slope 3 (Max) Slope 1 (Min) Slope 2 (Min) Slope 3 (Min) The slope regions below were created from characterization.
Naval Architecture & Marine Engineering University of Michigan – College of Engineering The Marine Environment.
New Jersey Transit Fatigue Risk Report Assignments for 27 th October December
Moonlight reflecting off ice crystals in cirrostratus clouds can cause a halo to appear around the moon. Such a halo often indicates that precipitation.
Describing distributions with numbers
Chapter 12: Describing Distributions with Numbers We create graphs to give us a picture of the data. We also need numbers to summarize the center and spread.
1 Business Math Chapter 7: Business Statistics. Cleaves/Hobbs: Business Math, 7e Copyright 2005 by Pearson Education, Inc. Upper Saddle River, NJ
Describing Motion: Speed & Velocity. What Is Motion? Motion is when an object changes place or position. To properly describe motion, you need to use.
Statistics Chapter 9. Statistics Statistics, the collection, tabulation, analysis, interpretation, and presentation of numerical data, provide a viable.
Data Handbook Chapter 4 & 5. Data A series of readings that represents a natural population parameter A series of readings that represents a natural population.
Chapter 3 Descriptive Measures
Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition.
IT College Introduction to Computer Statistical Packages Eng. Heba Hamad 2009.
Statistics - methodology for collecting, analyzing, interpreting and drawing conclusions from collected data Anastasia Kadina GM presentation 6/15/2015.
Larson/Farber Ch 2 1 Elementary Statistics Larson Farber 2 Descriptive Statistics.
Ping Zhu, AHC5 234, Office Hours: M/W/F 10AM - 12 PM, or by appointment M/W/F,
Statistics Chapter 1: Exploring Data. 1.1 Displaying Distributions with Graphs Individuals Objects that are described by a set of data Variables Any characteristic.
Collecting Data Name Number of Siblings Preferred Football Team Star Sign Hand Span.
Chapter 11 Data Descriptions and Probability Distributions Section 1 Graphing Data.
Lecture V Probability theory. Lecture questions Classical definition of probability Frequency probability Discrete variable and probability distribution.
1 Descriptive Statistics 2-1 Overview 2-2 Summarizing Data with Frequency Tables 2-3 Pictures of Data 2-4 Measures of Center 2-5 Measures of Variation.
Seismic Attribute Sensitivity to Energy, Bandwidth, Phase, and Thickness Greg A. Partyka BPAmoco.
Archived Data Management System Study Advisory Committee Meeting May 14, 2003.
Statistics 1: Introduction to Probability and Statistics Section 3-2.
Lean Six Sigma: Process Improvement Tools and Techniques Donna C. Summers © 2011 Pearson Higher Education, Upper Saddle River, NJ All Rights Reserved.
Larson/Farber Ch 2 1 Elementary Statistics Larson Farber 2 Descriptive Statistics.
1.4 UNDERSTANDING MEASUREMENTS.  Determination of the actual value for particular physical quantity.
MATH 2311 Section 1.5. Graphs and Describing Distributions Lets start with an example: Height measurements for a group of people were taken. The results.
 You will be able to explain the relationship between motion and a frame of reference  You will be able to relate speed to distance and time  You will.
Uncertainty2 Types of Uncertainties Random Uncertainties: result from the randomness of measuring instruments. They can be dealt with by making repeated.
Chapter15 Basic Data Analysis: Descriptive Statistics.
Twenty-Three Foot Waves on Lake Michigan! Examining Storm Events on the Lake Mike Bardou and Kevin Birk Courtesy Mike Bardou.
Displaying the Observed Distribution of Quantitative Variables Histogram –Divide the range of the variable into equally spaced intervals - called bins.
Copyright © 2009 Pearson Education, Inc. Slide 4- 1 Practice – Ch4 #26: A meteorologist preparing a talk about global warming compiled a list of weekly.
Basic Statistics for Testing. Why we need statistics Types of scales Frequency distributions Percentile ranks.
A Training Course for the Analysis and Reporting of Data from Education Management Information Systems (EMIS)
CTS130 Spreadsheet Lesson 6 Working with Math & Trig, Statistical, and Date & Time Functions.
First derivative: is positive Curve is rising. is negative Curve is falling. is zero Possible local maximum or minimum. Second derivative: is positive.
Scientific Notation Do you know this number? m/sec
Inna Khomenko, Oleksandr Dereviaha
Meteorological Instrumentation and Observations
5-4 Compound Inequalities Again!
MATH 2311 Section 1.5.
Environment and Climate Division
Topic 5: Exploring Quantitative data
Difference between TP-40, TP-49, and HYDRO-35 and NRCC Data
Basic Statistical Terms
7.2 Graphing Polynomial Functions
Statistics 1: Introduction to Probability and Statistics
24.2 Speed of Waves.
Polynomial Equations and Graphs
Ms. Saint-Paul A.P. Psychology
Calculating Speed from a Distance-Time Graph
Advanced Algebra Unit 1 Vocabulary
5-4 Compound Inequalities Again!
The Number System Lesson 1
MATH 2311 Section 1.5.
Presentation transcript:

Keweenaw North Waterway Buoy Bob Shuchman: Colin Brooks: Nate Jessee: 1

 The Keweenaw Waterway North buoy gathered data from 7/9/2010 through 10/11/2010. Data is located at  A limited selection of records were removed for pre- deployment recording and sensor errors.  Data presented here represents dates from 7/9/2010 through 10/10/2010.  Two of the parameters collected were wind direction and wind speed.  This data was organized to determine the frequency, duration, and strength of winds moving off shore (from land to water) and on shore (from water to land). 2

3  For all records spanning from July 9 th through October 10 th 2010, wind speed measurements were recorded every ten minutes.  During this time span, wind speeds were less than 2 m/s for 11.41% of all records and wind speed was equal to zero for 0.07% of all records.

 On shore and off shore winds are characterized based on the buoy location and the direction of the land.  Wind direction is absolute in that it indicates the direction that wind is moving towards.  On shore events are defined by consecutive recordings of winds with a direction between 45 and 225 degrees where 360/0 is north and 180 degrees as south On Shore Direction 4

 Off shore events are consecutive recordings with a direction greater than 225 and less than 45 degrees where 360/0 is north and 180 degrees is south Off Shore Direction 5

6

59.5% 7 The frequency of wind direction recordings described as either off shore or on shore, a total of records were taken from July 9 th to October 10 th. Count of Recordings

8 Hours Max m/s Description of off shore wind events, described by duration of events in hours. *Events are defined as time periods greater than 10 minutes where wind is consistently moving in the on or off shore direction.

9 Wind Speed, m/s Summary of all off shore wind speeds for all off shore events.

10 Hours Max 5.92 m/s Min 4.32 m/s Ave m/s Description of on shore wind events, described by duration of events in hours. *Events are defined as time periods greater than 10 minutes where wind is consistently moving in the on or off shore direction.

11 Wind Speed, m/s Summary of all on shore wind speeds for all on shore events

Event Duration Statistics 12 Hours

13 Wind Speed, m/s Represents all wind speed records for all events categorized as on or off shore

 Started on September 11 th at 7:30 p.m. and lasted through September 15 th at 1:00 a.m. Lasting a total of 77 hours, 30 minutes.  The event had the following characteristics:  Average wind speed: 8.07 m/s  Minimum wind speed: 5.31 m/s  Maximum wind speed m/s  The following slide represents the temporal distribution of wind speed. 14

15 Wind Speed, m/s

*Wind Directions indicate the actual direction that wind is moving * 16 Wind Direction

17 Wind Speed, m/s Represents all records from July 9 th through October 10 th.

18 Wind Speed, m/s Represents all records from July 9 th through October 10 th and highlights the major off shore event

 High Frequency (HF) Radar is sensitive to dominant wave period length.  Wave periods of small length, less than 2 seconds for example, may be unnoticed by HF Radar.  An analysis was performed to determine how frequently the dominant wave period dropped below a specific value. Each event was also characterized by the length of time the wave period value was below the threshold. 19

 For all records spanning from July 9 th to October 10 th, dominant wave period measurements were recorded every ten minutes.  The dominant wave period had a value of zero second for 0.01% of all records.  Also, dominant wave period value was less than 2 seconds for 15.98% of all records and greater than 5 seconds for 16.03% of all records between July 9 th and October 10 th. 20

21 This graph represents % of all records from July 9 th through October 10 th. Count of Events

22 This graph represents 3.95 % of all records from July 9 th through October 10 th. Count of Events

23 This graph represents 0.01 % of all records from July 9 th through October 10 th. Count of Events