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For Next Class Material

  • Each week you will present completed formative work related to the Assignments. The feedback you will receive each week is to help with all aspects or preparing the papers.

Week 2

  1. Print out with figure captions with a plot of the radiation balance (1 site) for one sunny and one cloudy day (see Task 1) etc.
  2. Plot of albedo variation on both days
  3. Literature (a journal article) with some albedo values for your land cover type
  4. Note features of the paper structure: figure/table captions, multiple figures, text structure, referencing etc.
  5. Prepare table(s) on instrumentation and measurements at your site (see Activity after URAO visit <after_visit>)

Week 3

  1. Table(s) summarising the relevant measurements done at your site. [observatory_visit]
  2. Each landcover group: short presentation on albedo and LAI variability (1-2 slides) to demonstrate [1] albedo dynamics at different temporal scales (e.g., sub-daily, seasonal) and [2] your typical values compared to the literature

Week 4

  1. Each landcover group: short presentation on z_0, z_d, r_a variability - your results and the literature

Week 5

  1. Each land cover group: short presentation on Delta Q_S and r_s (or r_c)

Week 6 of classes (7 of term)

  1. Each land cover group - short presentation on Q_E and Q_H
  2. Assignment 1 handed in via BB on 19 November 2019 12 noon

Week 7

  1. Thoughts on Project (Assignment 2)

Week 8

  1. Project plan (1/person)

Week 9

  1. Demonstrate project progress (e.g. plots)

Week 10

  1. Submit presentation via BB BY 5 PM day before

Week 1

  1. Revise your python programming and other previous course work (e.g. related to the SEB etc).
  2. If you don’t have a GitHub username (please sign up at https://github.com/ ).
  3. Please send your GitHub username to the Team team so we can get you ready for asmnt1.
  4. Please read the Risk Assessment for visting the Observatory.