참고문헌
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- Di Baldassarre, G., Wei, Y., Savelli, E., Barendrecht, M., Khatami, S., Xu, L, van Oel, P.R., O'Keefe, J., Shanono, N.J., and Famiglietti, J.S. (2021). Hydrology and society: Phenomena emerging from the interactions and feedbacks between human and water systems, AGU Fall Meeting 2021.
- Elkurdy, M., Sampson, A.K., Howard, J., Zimmerman, J., Klausmeyer, K., and Read, L. (2021). Predicting Ungauged, Human-Altered Streamflow with Theory-Guided Machine Learning, AGU Fall Meeting 2021.
- Gan Y. and Zhang, Y. (2021). Impacts of Forcing and Model Uncertainties on Snowpack Estimation of the National Water Model in the Upper Colorado River Basin, AGU Fall Meeting 2021.
- Ma, Y., Mononey, K.M., Cifelli, R., and Chandrasekar, V. (2021). Evaluating the Impact of Urbanization on Flood Risk during Heavy Precipitation Events in Ellicott City, Maryland, 2022 AMS Annual Meeting.
- Nijssen, B., Harrell, J., Cheng, Y., Arnold, J.R., and Frans, C. (2021). The Need to Account for Water Resources Management in Climate Change Impact and Adaptation Studies, AGU Fall Meeting 2021.
- Qualls, L.M., Frame, J.M., Saeedimoghaddam, M., Nearing, G.S., and Johnson, M.R. (2021). Dynamic Attributes in Deep Learning Rainfall-Runoff Models to Address Non-Stationarity, AGU Fall Meeting 2021.
- Yao, S., Chen, H., Han, L., and Chandrasekar, V. (2021). Hurricane-Net: An Adaptive Deep Learning Framework for Rainfall Prediction of Landfalling Hurricanes, 2022 AMS Annual Meeting.