An interpretation of the results from atmospheric general circulation models forced by the time history of the observed sea surface temperature distribution

By Chris Bretherton, D. Battisti. 2000

238 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/4eceff24b0123331dab908aba4ca32dcba8e8d8c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Adam A. Scaife
2. Shang-Ping Xie
3. J. Hansen
4. Doug M. Smith
5. K. Kodera
6. Makiko Sato
7. B. Kirtman
8. Renguang Wu

In Global and Planetary Change

1. Adam A. Scaife
2. Shang-Ping Xie
3. Doug M. Smith
4. J. Hansen
5. K. Kodera
6. Renguang Wu
7. Makiko Sato
8. B. Kirtman

In Oceanography

1. K. Kodera
2. Renguang Wu
3. R. Sutton
4. B. Kirtman
5. Zhengyu Liu
6. Adam A. Scaife
7. Doug M. Smith
8. Y. Kushnir

Citations in the corpus

• Physical Climate Processes and Feedbacks (2001, background): “Bretherton and Battisti (2000) suggest that this is consistent with a predominant stochastic driving of the ocean by the atmosphere with some modest feedback on the atmosphere, and that the signal only emerges through ensemble averaging.”
• Climate forcings in Goddard Institute for Space Studies SI2000 simulations (2002, background): “…as the North Atlantic Oscillation, specified SST calculations do not capture correctly the heat exchange between ocean and atmosphere associated with vertical motions in the ocean, and indeed that model (ocean A) can yield the wrong sign for the heat flux anomaly [ Bretherton and Battisti , 2000].”
• Regimes of seasonal air–sea interaction and implications for performance of forced simulations (2007, methodology): “When these atmospheric induced SST anomalies are used to force the model, improper local air–sea relationship appears in some regions and unrealistic atmospheric variability results (Saravanan 1998; Saravanan and McWilliams 1998; Bretherton and Battisti 2000; Wang et al. 2004, 2005; Krishna Kumar ”
• North atlantic oscillatiodannular mode: Two paradigms—one phenomenon (2000, background): “(1999) is a reflection of the weak positive feedback mechanism described by Barsugli and Battisti (1998); and (3) the prominence of this weak ‘response’ was exaggerated owing to the use of ensemble averaging in the experimental design (Bretherton and Battisti 1999).”
• A signal-to-noise paradox in climate science (2018, background): “Careful arguments were put forward to suggest that reproducibility of the observed NAO variability in atmosphere-only model experiments might therefore be due to the limitations of the experiment in specifying the future ocean conditions, and that this could give a misleading overestimate of actual ”
• Strongly Coupled Data Assimilation Using Leading Averaged Coupled Covariance (LACC). Part I: Simple Model Study* (2015, methodology): “The simple coupled model The simple model is the stochastically forced, onedimensional, linear, coupled model of Barsugli and Battisti (1998) and Bretherton and Battisti (2000): dTa dt 52aTa1 bTo 1F(t) , m dTo dt 5 cTa2 dTo , where Ta and To are the atmosphere and ocean temperature anomalies,…”
• Mechanism of Interannual to Decadal Variability of the North Atlantic Circulation (2001, background): “There are, however, concerns about the role of the SST forcing in such experiments (Bretherton and Battisti 2000).”
• Evolution of Atmospheric Response to Early-Season Eurasian Snow Cover Anomalies (2001, methodology): “Such a caveat has been proposed by Bretherton and Battisti (2000).”
• Atmospheric GCM Response to Extratropical SST Anomalies: Synthesis and Evaluation* (2002, methodology): “Further use of the BB98 model was made by Bretherton and Battisti (2000) to put into context the NAO predictability studies of Rodwell et al. (1999) and Mehta et al. (2000).”
• A mechanism for lagged North Atlantic climate response to solar variability (2013, background): “Of course in reality, there is also a large component of internal variability in the NAO which could be added as a noise term [c.f. Bretherton and Battisti, 2000].”