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Anandhi, A., & Bentley, C. (2018). Predicted 21st century climate variability in southeastern U.S. using downscaled CMIP5 and meta-analysis.170.
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Anderegg, W. R. L., Hicke, J. A., Fisher, R. A., Allen, C. D., Aukema, J., Bentz, B., et al. (2015). Tree mortality from drought, insects, and their interactions in a changing climate. New Phytol, 208(3), 674–683.
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Burgman, R. J., Kirtman, B. P., Clement, A. C., & Vazquez, H. (2017). Model evidence for low-level cloud feedback driving persistent changes in atmospheric circulation and regional hydroclimate. Geophys. Res. Lett., 44(1), 428–437.
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Chung, E. - S., & Soden, B. J. (2018). On the compensation between cloud feedback and cloud adjustment in climate models. Clim Dyn, 50(3-4), 1267–1276.
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Deng, Y., Park, T. - W., & Cai, M. (2013). Radiative and Dynamical Forcing of the Surface and Atmospheric Temperature Anomalies Associated with the Northern Annular Mode. J. Climate, 26(14), 5124–5138.
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Hicks Pries, C. E., van Logtestijn, R. S. P., Schuur, E. A. G., Natali, S. M., Cornelissen, J. H. C., Aerts, R., et al. (2015). Decadal warming causes a consistent and persistent shift from heterotrophic to autotrophic respiration in contrasting permafrost ecosystems. Glob Change Biol, 21(12), 4508–4519.
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Holmes, C. D. (2018). Methane Feedback on Atmospheric Chemistry: Methods, Models, and Mechanisms. J. Adv. Model. Earth Syst., 10(4), 1087–1099.
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Hu, X., Yang, S., & Cai, M. (2016). Contrasting the eastern Pacific El Nino and the central Pacific El Nino: process-based feedback attribution. Clim Dyn, 47(7-8), 2413–2424.
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Hu, X., Cai, M., Yong, S., & Sejas, S. A. (2018). Air temperature feedback and its contribution to global warming. Science China Earth Sciences, 61(10), 1491–1509.
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Kettridge, N., Thompson, D. K., Bombonato, L., Turetsky, M. R., Benscoter, B. W., & Waddington, J. M. (2013). The ecohydrology of forested peatlands: Simulating the effects of tree shading on moss evaporation and species composition. J. Geophys. Res. Biogeosci., 118(2), 422–435.
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Misra, V., Michael, J. - P., Boyles, R., Chassignet, E. P., Griffin, M., & O'Brien, J. J. (2012). Reconciling the spatial distribution of the surface temperature trends in the Southeastern United States. J. Climate, 25(10), 3610–3618.
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Sejas, S. A., Cai, M., Hu, A., Meehl, G. A., Washington, W., & Taylor, P. C. (2014). Individual Feedback Contributions to the Seasonality of Surface Warming. J. Climate, 27(14), 5653–5669.
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Song, X., Zhang, G. J., & Cai, M. (2014). Characterizing the Climate Feedback Pattern in the NCAR CCSM3-SOM Using Hourly Data. J. Climate, 27(8), 2912–2930.
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Song, X., Zhang, G. J., & Cai, M. (2014). Quantifying contributions of climate feedbacks to tropospheric warming in the NCAR CCSM3.0. Clim Dyn, 42(3-4), 901–917.
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Tautenhahn, S., Lichstein, J. W., Jung, M., Kattge, J., Bohlman, S. A., Heilmeier, H., et al. (2016). Dispersal limitation drives successional pathways in Central Siberian forests under current and intensified fire regimes. Glob Change Biol, 22(6), 2178–2197.
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Watts, A. C., Schmidt, C. A., McLaughlin, D. L., & Kaplan, D. A. (2015). Hydrologic implications of smoldering fires in wetland landscapes. Freshwater Science, 34(4), 1394–1405.
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Wing, A. A. (2019). Self-Aggregation of Deep Convection and its Implications for Climate. Curr Clim Change Rep, 5(1), 1–11.
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Yu, Y., Cai, M., & Ren, R. (2018). A stochastic model with a low-frequency amplification feedback for the stratospheric northern annular mode. Clim Dyn, 50(9-10), 3757–3773.
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