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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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Bastola, S. (2013). Hydrologic impacts of future climate change on Southeast US watersheds. Reg. Environ. Change, 13(S1), S131–S139.
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Infanti, J. M., Kirtman, B. P., Aumen, N. G., Stamm, J., & Polsky, C. (2020). Aligning Climate Models With Stakeholder Needs: Advances in Communicating Future Rainfall Uncertainties for South Florida Decision Makers. Earth and Space Science, 7(7).
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Keellings, D. (2016). Evaluation of downscaled CMIP5 model skill in simulating daily maximum temperature over the southeastern United States. Int. J. Climatol., 36(12), 4172–4180.
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Kozar, M. E., & Misra, V. (2013). Evaluation of twentieth-century Atlantic Warm Pool simulations in historical CMIP5 runs. Clim. Dyn., 41(9-10), 2375–2391.
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Li, J. - L. F., Richardson, M., Hong, Y., Lee, W. - L., Wang, Y. - H., Yu, J. - Y., et al. (2017). Improved simulation of Antarctic sea ice due to the radiative effects of falling snow. Environ. Res. Lett., 12(8), 084010.
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Lintner, B. R., Langenbrunner, B., Neelin, J. D., Anderson, B. T., Niznik, M. J., Li, G., et al. (2016). Characterizing CMIP5 model spread in simulated rainfall in the Pacific Intertropical Convergence and South Pacific Convergence Zones. J. Geophys. Res. Atmos., 121(19), 11,590–11,607.
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Michael, J. - P., Misra, V., & Chassignet, E. P. (2013). The El Nino and Southern Oscillation in the historical centennial integrations of the new generation of climate model. Regional Environmental Change, 13(S1), S121–S130.
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Sharma, A., & Anandhi, A. (2021). Temperature based indicators to develop adaptive responses for crop production in Florida, USA. Ecological Indicators, 121.
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