Lecture14-Climatedynamics1

Lecture14-Climatedynamics1 - Atmospheric noise...

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MPO 551: Lecture 14 Climate Dynamics (Chapter 10, Wallace and Hobbs)
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Cloud data
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People are better at observing low frequency cloud changes Clement, Burgman, Norris (2009) S. Yuter
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Outline Global energy balance Meridional structure Internal variability and external forcing Wednesday: decadal variability in the pacific
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Meridional heat transport In the tropics, the partitioning is about 1:1 Ocean Atmosphere Total
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www.giss.nasa.gov Internal vs. externally forced variations
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www.giss.nasa.gov
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Source: COAPS
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Internal variability: ‘Preferred spatial patterns’ Northern Annular Mode North South shifts in storm tracks
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Temperature Precipiation
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Unformatted text preview: Atmospheric noise Characterizing predictability using spectral analysis Frequency Power White noise: no predictability Red noise: Stochastic forcing with some integration persistence Spectral peak: Perfectly periodic Hasselmann (1976) Stochastic climate models Frequency Power Red noise: Stochastic forcing with some integration persistence C dT dt T C Heat capacity Damping rate Large damping rate/smaller heat capacity less persistence Smaller damping rate/ Larger heat capacity* more persistence *originally applied to mid latitudes where mixed layer is deep...
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Lecture14-Climatedynamics1 - Atmospheric noise...

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