Bibliography: Stochastic models
This presentation is the property of its rightful owner.
Sponsored Links
1 / 63

Bibliography: Stochastic models PowerPoint PPT Presentation


  • 77 Views
  • Uploaded on
  • Presentation posted in: General

Bibliography: Stochastic models Barsugli, J. J. and D. S. Battisti, 1998: The basic effect of atmosphere ocean thermal coupling on midlatitude variability. J. Atmos. Sci.,, 55, 477-493.

Download Presentation

Bibliography: Stochastic models

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Bibliography stochastic models

Bibliography: Stochastic models

Barsugli, J. J. and D. S. Battisti, 1998: The basic effect of atmosphere ocean thermal coupling on midlatitude variability. J. Atmos. Sci.,, 55, 477-493.

Frankignoul, C., and K. Hasselmann, 1977: Stochastic climate models, part II. Application to sea-surface temperature anomalies and thermocline variability. Tellus, 29, 289-305.

Frankignoul, C., P. Mueller and E. Zorita, 1997: A simple model of the decadal response of the ocean to stochastic wind forcing. J. Phys. Oceangr., 27, 1533-1546.

Hasselmann, K., 1976: Stochastic climate models, Part I. Theory. Tellus, 28, 473-484.


Bibliography stochastic models

Hasselmann 1976

  • Assume that the climate system can be split into two subsystems, that are characterized by distinct and different response times (for example 'weather' and 'climate').

  • The evolution of the slow component is then determined its own state, and by the statistics of the 'weather' system for a given climate state, that is retained as a forcing term.

  • The slow climate variable then integrates this stochastic forcing and leads to 'red' variance spectra.

  • In the absence of a negative feedback, the variance of the slow climate variable increases with time (as the square root of ~).

  • The problem of climate variability “is not to discover positive feedback mechanism that enhance small variations of external forcing and produce instabilities, but .. to identify the negative feedback that .. balances the continual generation of climate fluctuations by random driving forces”


Bibliography stochastic models

Stochastic Model for SST


Bibliography stochastic models

Pierce 2001


Bibliography stochastic models

Frankignoul 1985


Bibliography stochastic models

James and James 1989


Bibliography stochastic models

James and James 1989


Bibliography stochastic models

Frankignoul and Hasselmann 1978


Bibliography stochastic models

Frankignoul 1985


Bibliography stochastic models

Frankignoul 1985


Bibliography stochastic models

Ocean-Atmosphere Thermal Coupling


Bibliography stochastic models

Barsugli and Battisti (JAS, 1998) model


Bibliography stochastic models

Barsugli and Battisti JAS 1998


Bibliography stochastic models

Barsugli and Battisti JAS 1998


Bibliography stochastic models

Barsugli and Battisti JAS 1998


Bibliography stochastic models

Variance of 90 day mean geopotential height at 500 mb in AGCM forced with climatological (fixed) SST. Contour is 600m2

Difference of 90 day mean variance between AGCM coupled to a slab mixed layer ocean and CNTR. Contour 100m2, neg. dashed. Shading is 10% and 20% relative difference.

Blade 1997


Bibliography stochastic models

Blade 1997


Bibliography stochastic models

Blade 1997


Bibliography stochastic models

Basic effect of atmosphere-ocean thermal coupling:

increases variance in both media, while patterns are largely unchanged

decrease energy flux between them

prescribing SST does not yield the proper simulation of low frequency

variance in the atmosphere (will yield the atmospheric mode least

damped by the damping at the surface)‏


Bibliography stochastic models

Processes contributing to increased persistence

of SST:

Reemergence


Bibliography stochastic models

Deser et al. JC, 2003


Bibliography stochastic models

Deser et al. JC, 2003


Bibliography stochastic models

Deser et al. JC, 2003


Bibliography stochastic models

Nonlocal Response to Stochastic Forcing


Bibliography stochastic models

Stochastic forcing of ocean pressure or advected temperature


Bibliography stochastic models

Frankignoul et al. 1997


Bibliography stochastic models

Spectra of wind stress curl in N Atlantic (coupled model output).

Frankignoul et al. 1997


Bibliography stochastic models

Frankignoul et al. 1997


Bibliography stochastic models

Frankignoul et al. 1997


Bibliography stochastic models

Saravanan and McWilliams 1998


Bibliography stochastic models

Stochastically forced spatial resonance


Bibliography stochastic models

Response of ocean to stochastic forcing only

Neelin and Weng 1999


Bibliography stochastic models

Observations of decadal climate anomalies in the Pacific


Bibliography stochastic models

Zhang, Wallace, Battisti 1997


Bibliography stochastic models

Mantua and Hare, JO, 2002


Bibliography stochastic models

Mantua et al. 1997


Bibliography stochastic models

Mantua et al. 1997


Bibliography stochastic models

Mantua and Hare, JO, 2002


Bibliography stochastic models

Mantua et al. 1997


Bibliography stochastic models

Minobe 1997


Bibliography stochastic models

Mantua and Hare, JO, 2002


Bibliography stochastic models

Mantua and Hare, JO, 2002


Bibliography stochastic models

Gershunov and Barnett 1999


Bibliography stochastic models

PDO anomalies

Modulates ENSO teleconnections

affects biology

Mantua 2002


Bibliography stochastic models

Are there signal in the North Pacific independent of the PDO?

Bond, et al., 2003: GRL, 30, doi:10.1029/2003GL018597


Bibliography stochastic models

Di Lorenzo, et al., 2008, Geophys. Res. Lett., 35, L08607, doi: 10.1029/2007GL032838.


Bibliography stochastic models

PAU


Bibliography stochastic models

Di Lorenzo, et al., 2008, Geophys. Res. Lett., 35, L08607, doi: 10.1029/2007GL032838.


Bibliography stochastic models

Pierce 2001


Bibliography stochastic models

Zhang, Wallace, Battisti 1997


Bibliography stochastic models

Zhang, Wallace, Battisti 1997


  • Login