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Chang, N. - B., Yang, Y. J., Imen, S., & Mullon, L. (2017). Multi-scale quantitative precipitation forecasting using nonlinear and nonstationary teleconnection signals and artificial neural network models. Journal of Hydrology, 548, 305–321.
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Chang, N. B., Imen, S., & Bai, K. (2015). Impacts of Global Non-leading Teleconnection Signals on Terrestrial Precipitation across the United States. In Proceedings of SPIE (Vol. 9610).
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Chiri, H., Abascal, A. J., Castanedo, S., Antolínez, J. A. A., Liu, Y., Weisberg, R. H., et al. (2019). Statistical simulation of ocean current patterns using autoregressive logistic regression models: A case study in the Gulf of Mexico. Ocean Modelling, 136, 1–12.
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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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Okamoto, D. K., Schroeter, S., & Reed, D. C. (2020). Effects of ocean climate on spatiotemporal variation in sea urchin settlement and recruitment. Limnol Oceanogr, .
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Royce, F. S., Jones, J. W., & Hansen, J. W. (2001). Model-based optimization of crop management for climate forecast applications. Transactions of the ASAE, 44, 1319–1327.
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Wyatt, A. S. J., Leichter, J. J., Toth, L. T., Miyajima, T., Aronson, R. B., & Nagata, T. (2020). Heat accumulation on coral reefs mitigated by internal waves. Nat. Geosci., 13(1), 28+.
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