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| Kirtman, B.P.; Wu, R.. |
| This study explores the impacts of the Indian summer monsoon (ISM) on the El Niño-Southern Oscillation (ENSO) evolution by utilizing two coupled general circulation model simulations. The first simulation uses the Center for Ocean-Land-Atmosphere Studies (COLA) anomaly coupled model and the second simulation employs a new coupling strategy, interactive ensembles, that is designed to increase the signal to noise ratio. The effects of monsoon variability related and unrelated to ENSO are separated through composites in terms of both Niño-3.4 sea surface temperature (SST) and Indian summer monsoon rainfall (IMR) anomalies. It is found that ENSO-related monsoon variability has significant impacts on warm events. In the interactive ensemble simulation, a weak... |
| Tipo: Working Paper |
Palavras-chave: Monsoons; Sea surface temperature. |
| Ano: 2002 |
URL: http://hdl.handle.net/1834/503 |
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| Schneider, E.K.; Kirtman, B.P.; Wu, Z.. |
| The low frequency sea surface temperature (SST) variability in the North Atlantic is studied using the Center for Ocean-Land-Atmosphere Studies (COLA) anomaly coupled general circulation model. The main focus is placed on the relative roles of stable and unstable coupled feedbacks in inducing the low frequency SST variability in various regions of the North Atlantic. To examine this question, a recently developed coupling technique, interactive ensembles, is applied to reduce the strength of “weather noise” in the model and isolate the atmospheric feedback to boundary forcing. |
| Tipo: Journal Contribution |
Palavras-chave: Sea surface temperature. |
| Ano: 2004 |
URL: http://hdl.handle.net/1834/508 |
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| Kinter, S.M.; Pegion, K.; Kirtman, B.P.. |
| One possible explanation for tropical sea surface temperature (SST) interannual variability is that it can be accurately described by a linear auto-regressive model with damped coupled feedbacks and stochastic forcing. This auto-regressive model can be viewed is a “null hypothesis” for tropical SST variability. This paper advances a new coupled general circulation model (CGCM) coupling strategy, called an interactive ensemble as a method to test this null hypothesis. The design of the interactive ensemble procedure is to reduce the stochastic variability in the air-sea fluxes applied to the ocean component while retaining the deterministic component of the coupled feedbacks. The interactive ensemble procedure uses multiple realizations of the atmospheric... |
| Tipo: Working Paper |
Palavras-chave: Sea surface temperature; Atmospheric conditions. |
| Ano: 2005 |
URL: http://hdl.handle.net/1834/512 |
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| Yeh, S.W.; Kirtman, B.P.. |
| Total SST in a coupled GCM is diagnosed by separating the variability into signal variance and noise variance. The signal and the noise is calculated from multi-decadal simulations from the COLA anomaly coupled GCM and the interactive ensemble model by assuming both simulations have a similar signal variance. The interactive ensemble model is a new coupling strategy that is designed to increase signal to noise ratio by using an ensemble of atmospheric realizations coupled to a single ocean model. The procedure for separating the signal and the noise variability presented here does not rely on any ad hoc temporal or spatial filter. Based on these simulations, we find that the signal versus the noise of SST variability in the North Pacific is significantly... |
| Tipo: Report |
Palavras-chave: Atmosphere (earth). |
| Ano: 2002 |
URL: http://hdl.handle.net/1834/499 |
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