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ATSC 301

ATSC 301: 2024 Term 2 Winter

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ATSC 301: syllabus
UBC academic integrity
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A301 Assignments
pixi install for macos and windows
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Notebook downloads
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Weekly topics

Week notes
Weekly review

Midterm

1. Study topics for midterm
2025 mid-term equation sheet
2022 mid-term
2. Sample mid-term questions I
3. Midterm review questions II
4. Midterm Solutions: midterm sample questions I
5. Midterm solutions: sample questions II
6. A301 midterm solutions

Final

7. Study guide for final exam
2014 final exam
2022 final exam
2010 final exam
2025 Equation Sheet

Week 1

Stull Chapter 2, pp. 34-43
8. Beers and inverse squared laws
Wallace and Hobbs Chapter 4, pp. 113-118
9. Solid angle and radiance
10. Finding the flux given the radiance
11. Plotting the Planck function with python

Week 2

12. Plotting the Planck function - solution
13. Assignment 1, brightness temperatures
14. Introduction to Cartopy
15. Mapping Vancouver with cartopy
16. Landsat 1: Dowloading Landsat and Sentinel data from NASA

Week 3

17. Mapping the landsat scene
18. Assignment 1, brightness temperatures - solution
19. Zooming an image
21. Kirchoff worksheet
22. Optical depth and partial transmission

Week 4

23. Clipping multiple bands– v0.3
24. Optical depth II: mean free path
25. Assignment 2: solutions Part A

Week 5

26. Assignment 4
27. Assignment 2: solutions part B
28. Getting lat,lon from row, column
29. The Schwartzchild Equation
30. Adding a palette to an axis
31. Assignment 2: solutions part C
32. Hydrostatic balance
33. Cartopy mapping Buenos Aires

Week 6

34. Assignment 3: solutions
35. Scale heights for typical atmospheric soundings
36. Weighting functions for temperature retrieval
37. Finding the heating rate of the atmosphere
38. Assignment 4 two layer solution
39. Assignment 4 solutions

Week 7

40. Making color composite (“false color”) images
41. Using fmask to mask water pixels

Week 8

42. Python packages Part 1
43. GOES-16: True Color Images from GOES ABI
44. Combining goes and landsat data using rioxarray
45. Combining goes and landsat data using rioxarray
46. Assignment 6
47. Notes on the radar equation

Week 9

48. Clipping issues: What happened to Stanley Park?
49. Working with surface class data
50. Integrating the Schwartzchild equation
51. Calculating the diffuse flux: python code
52. Notes on the Marshall-Palmer distribution and the Z-RR relation

Week 10

53. Assignment 7
54. Landsat 8 false color examples
55. Assignment 6 solution
56. Phasor examples
57. phase shift examples
Notes on the Doppler equation
Slides on the EarthCare mission

Week 11

58. Assignment 5 solution
59. GOES ABI RGB Recipes
60. GOES stability indices
61. Reading earthcare level1b data
62. Convert earthcare to xarray
63. Assign7 Radar Problems – solution
64. Notes on phasors

Week 12

65. goes-earthcare overlay
66. Assignment 8
67. Assign7 Classification problem – solution
68. Comparing cloudtop and 11 \(\mu m\) temperatures
69. 2014 final solutions

Week 13

70. Assignment 8 doppler solution
71. Assignment 8 solution

.md

ATSC 301: 2024 Term 2 Winter

Contents

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ATSC 301: 2024 Term 2 Winter#

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Course home page
Piazza discussions
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ATSC 301: syllabus
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ATSC 301: syllabus

Contents

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By Philip Austin

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