1. The Continuum of Hydroclimate Variability in Western North American during the Last Millennium AULT ET AL. 2013

2. Overview  Developed a way to compare instrumental, proxy, and modeled data.  Estimated power laws for different timescales of variability.  Blue spectra, white spectra, red spectra  There were some significant differences in the variability of modeled data and instrumental/proxy data at different timescales.

3. What are some challenges/limitations of comparing paleoclimate records & model simulations?

4. How do these authors minimize these limitations/challenges?

5. What are the authors portraying in figure 5?

6. What are the authors portraying in figure 8?

7. What (timescales) were the major differences between modeled hydroclimate & observational hydroclimate?  What does this mean for estimates of drought risk?

8. What were some of the main conclusions of this article?

9. Ocean surface temperature variability: Large model–data differences at decadal and longer periods LAEPPLE & HUYBERS2014

10. What is the major discrepancy between model and proxy based estimates of sea surface temperature, and where is this problem greatest?

12. Proxy vs model spectra

13. What are some of the possible problems with the proxy data that could explain this discrepancy? What are possible problems with the models that could explain the mismatch between model and proxy data?

14. Links between annual, Milankovitch and contiunuum temperature variability HUYBERS & CURY 2006

15. Why do they compare annual & Milankovitch cycles?  Give a context of Milankovitch cycles

16. What is the significance of: “B averaging one over the oceans” and “B averaging zero over the continents”?

17. What are the authors portraying in Figure 2?