1 / 17

Mastering Contouring Techniques in Data Analysis

Learn how contouring transforms data into visual maps, identifies gradients & extremes, and helps in weather analysis. Understand isopleths, contour intervals, and key rules for effective contouring. Enhance your skills through practice examples.

rshoup
Download Presentation

Mastering Contouring Techniques in Data Analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. AOS 101 Data Analysis 302: Feb 5, 304: Feb 7

  2. Contouring • Transforms several observations into an easy to read picture • Can assess areas of sharp contrasts (gradients), maxima and minima. • Hand contouring allows some subjectivity that a computer would not provide. • Find isopleths: lines drawn through a map connecting points with the same numerical value (i.e. a contour)

  3. Examples • Topographic Map • By walking along contour never change elevation

  4. Isobar: line of constant surface pressure, help find high and low pressure systems

  5. Isotherm: line of constant temperature

  6. Isoheight: line of constant height • Isotach: line of constant wind speed, find jet stream

  7. Isohyet: line of constant precipitation accumulation

  8. Definitions • Contour interval: the numerical interval (spacing) at which isopleths are drawn on a map. • Contour interval = 4: draw lines of 1000, 1004, 1008 etc.

  9. Interpolate: constructing new data points from the observed data points (i.e. filling in spaces between data points).

  10. Interpolate: constructing new data points from the observed data points (i.e. filling in spaces between data points).

  11. Interpolate: constructing new data points from the observed data points (i.e. filling in spaces between data points).

  12. Gradient: the spatial rate of change of a given field (i.e. how close are the lines together) • Lines closely packed = steep gradient • For isotherms, closely packed lines (temperature gradients) = front.

  13. For isobars, closely packed lines = strong winds. • Also, winds blow nearly parallel to isobars • Counterclockwise around lows = cyclonic • Clockwise around highs = anticyclonic L

  14. Contouring “Rules” • Isopleths should never cross. • Isopleths should not branch or fork, or end/begin in the middle of the map. • Isopleths should be labeled at both ends, or in the middle if closed.

  15. Only the area of the map with data should be contoured. WRONG RIGHT

  16. HINTS • Use pencil, sketch then fill in with heavier line later if necessary. • Try to make pressure contours smooth, follow the winds. • Lines should be roughly parallel if no intervening data. • Practice: http://cimss.ssec.wisc.edu/wxwise/ contour/contour1.html

More Related