ATMO 595C Syllabus
WP: Washington and Parkingson (2005)
CAM5: CAM5 Technical Note
CESM: NCAR CESM 1 Tech Note
Holton: Holton (2004)
Pielke: Pielke (1984)
1. Global modeling history (WP Chap 1)
2. Satellite and in situ data
3. Global model outlook (WP Chap 7)
4. NCAR model code (CESM and CAM5)
5. Model and data analysis graphics
6. Physical description and observation of the climate system (WP Chap. 2)
7. Coupling of dynamic core and parameterization suite (CAM5 Chap. 2)
8. Dynamics (CAM5 Chap. 3)
9. CAM5 physics and extensions (CAM5 Chapters 4 and 5)
precipitation, clouds, aerosol, radiation, land surface, turbulence
10. Numerical methods on finite difference, finite element, and spline interpolation (Pielke Chap 10)
11. Global climate change (IPCC Report)
atmosphere greenhouse effect, global warming, (un)reliability of IPCC hindcasts
Homework
Homework #1:: Convert 1 mm/day of evaporation to W/m2. Is your conversion rigorous for all conditions?
Homework #2:: Replot Fig. 2.1 (of WP) using the a CMIP5 model output and reanalysis data. Compare the two new figures with Fig. 2.1. Show your results in class.
Homework #3:: Using a CMIP5 model output for one year to compute each component of the surface and TOA energy fluxes. Compare with those in Fig. 2.4 (of WP). show the results in class.
Homework #4:: Plot the diurnal cycle of soil water at different depths (similar to Fig. 5.1 on p. 118 in Garratt (2002) using the Illinois data. Plot the same figure using a land model output (e.g., NLDAS or GLDAS). Show the results in class.
Homework #5:: Using the reanalysis data to plot the 500 mb geopotential height difference in winter between an El Nino year versus a La Nina year. Also show the differences in surface air temperature and precipitation using in-situ temperature data and merged precipitation data. Discuss results in class.
Homework #6:: plot the precipitable water data from reanalysis, satellite remote sensing and merged product, and compare them with those from solar observations by Bill Livingston from late 1970s to present. Discuss results in class.
Project
Project #1: Data analysis and presentation. 15-30 min ppt presentation in class is required.
Project #2: Analysis of the CMIP5 model output using observational data. The project of each group (of two students) should be driven by science questions. This requires the students to read 2-3 papers at least. Specific topics are decided based on ideas from students and the instructor. Data analysis and presentation. 15-30 min ppt presentation in class is required.
Project #3: CAM5 sensitivity tests; 15-30 min ppt presentation in class is required.
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