Articles | Volume 17, issue 4
https://doi.org/10.5194/acp-17-2525-2017
https://doi.org/10.5194/acp-17-2525-2017
Technical note
 | 
17 Feb 2017
Technical note |  | 17 Feb 2017

Technical note: Simultaneous fully dynamic characterization of multiple input–output relationships in climate models

Ben Kravitz, Douglas G. MacMartin, Philip J. Rasch, and Hailong Wang

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Cited articles

Alexander, M. A., Bladè, I., Newman, M., Lanzante, J. R., Lau, N.-C., and Scott, J. D.: The Atmospheric Bridge: The Influence of ENSO Teleconnections on Air-Sea Interaction over the Global Oceans, J. Climate, 15, 2205–2231, https://doi.org/10.1175/1520-0442(2002)015<2205:TABTIO>2.0.CO;2, 2002.
Barnes, E. A. and Barnes, R. J.: Estimating linear trends: Simple linear regression versus epoch differences, J. Climate, 28, 9969–9976, https://doi.org/10.1175/JCLI-D-15-0032.1, 2015.
Cao, L., Bala, G., and Caldeira, K.: Climate response to changes in atmospheric carbon dioxide and solar irradiance on the time scale of days to weeks, Environ. Res. Lett., 7, 034015, https://doi.org/10.1088/1748-9326/7/3/034015, 2012.
Cooper, F. C. and Haynes, P. H.: Climate sensitivity via a nonparametric Fluctuation-Dissipation Theorem, J. Atmos. Sci., 68, 937–953, https://doi.org/10.1175/2010JAS3633.1, 2011.
Fuchs, D., Sherwood, S., and Hernandez, D.: An exploration of multivariate fluctuation dissipation operators and their response to sea surface temperature perturbations, J. Atmos. Sci., 72, 472–486, https://doi.org/10.1175/JAS-D-14-0077.1, 2015.
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Short summary
We introduce system identification techniques to climate science wherein multiple dynamic input–output relationships can be simultaneously characterized in a single simulation. This method, involving multiple small perturbations (in space and time) of an input field while monitoring output fields to quantify responses, allows for identification of different timescales of climate response to forcing without substantially pushing the climate far away from a steady state.
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