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Sustainability nexus analytics, informatics, and data (AID): Drought Huning, L.S., Bateni, S.M., Hayes, M., Ho, S.Q., Jayasinghe, S., Kumar, R., Lima, C., Love, C.A., Madani, K., Markonis, Y., Matin, M.A., Miao, C., Motagh, M., Naeger, A., Oliveira, D.Y., Read, L.K., Samaniego, L., Shokri, N., Shukla, S., Soltanian, R., Stefanski, R., Trabelsi, F., Tsegai, D., Vo, L.U.C., Wanders, N., Wens, M., Zarei, A., AghaKouchak, A. Sustainability Nexus Forum, 32(18), 2024 https://doi.org/10.1007/s00550-024-00546-w |
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Nonstationary frequency analysis of extreme precipitation: Embracing trends in observations Anzolin, G., Oliveira, D.Y., Vrugt, J.A., AghaKouchak, A., Chaffe, P.L.B. Journal of Hydrology, 131300, 2024 https://doi.org/10.1016/j.jhydrol.2024.131300 |
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Reply to Comment by W. Knoben and M. Clark on "The treatment of uncertainty in hydrometric observations: a probabilistic description of streamflow records" Oliveira, D.Y., Vrugt, J.A. Water Resources Research, e2023WR036550, 2024 https://doi.org/10.1029/2023WR036550 |
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On the use of distribution-adaptive likelihood functions: Generalized and universal likelihood functions, scoring rules and multi-criteria ranking Vrugt, J.A., Oliveira, D.Y., Schoups, G.H.W., Diks, C.G.H. Journal of Hydrology, 128542, 2022 https://doi.org/10.1016/j.jhydrol.2022.128542 |
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The treatment of uncertainty in hydrometric observations: a probabilistic description of streamflow records Oliveira, D.Y., Vrugt, J.A. Water Resources Research, e2022WR032263, 2022 https://doi.org/10.1029/2022WR032263 Supporting Information |
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Confidence intervals of the Kling-Gupta efficiency Vrugt, J.A., Oliveira, D.Y. Journal of Hydrology, 612, 127968, 2022 https://doi.org/10.1016/j.jhydrol.2022.127968 codes |
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Correspondence between model structures and hydrological signatures: a large-sample case study using 508 Brazilian catchments David, P.C., Chaffe, P.L.B., Chagas, V.B.P., Dal Molin, M., Oliveira, D.Y., Klein, A.H.F., Fenicia, F. Water Resources Research, 58, e2021WR030619, 2022 https://doi.org/10.1029/2021WR030619 |
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Advances and challenges in the water sciences in Brazil: a community synthesis of the XXIII Brazilian Water Resources Symposium Paiva, R.C.D., Chaffe, P.L.B., et al. including Oliveira, D.Y. RBRH, 25, e50, 2020 https://doi.org/10.1590/2318-0331.252020200136 |
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Comparison of single-site, multi-site and multi-variable SWAT calibration strategies Franco, A.C.L., Oliveira, D.Y., Bonumá, N.B. Hydrological Sciences Journal, 65(14), 2376-2389, 2020 https://doi.org/10.1080/02626667.2020.1810252 |
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Spatial and seasonal patterns of flood change across Brazil Bartiko, D., Oliveira, D.Y., Bonumá, N.B., Chaffe, P.L.B. Hydrological Sciences Journal, 64(9), 1071-1079 2019 https://doi.org/10.1080/02626667.2019.1619081 |
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Systematic increase in model complexity helps to identify dominant streamflow mechanisms in two small forested basins David, P.C., Oliveira, D.Y., Grison, F., Kobiyama, M., Chaffe, P.L.B. Hydrological Sciences Journal, 64(4), 455-472, 2019 https://doi.org/10.1080/02626667.2019.1585858 |
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Extending the applicability of the Generalized Likelihood function for zero-inflated data series Oliveira, D.Y., Chaffe, P.L.B., Sá, J.H.M. Water Resources Research, 54, 2494–2506, 2018 https://doi.org/10.1002/2017WR021560 |
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Análise comparativa dos modelos de Gash e de Rutter para a estimativa da interceptação por Floresta Ombrófila Mista Sá, J.H.M., Chaffe, P.L.B., Oliveira, D.Y. RBRH, 20(4), 1008-1018, 2015 https://doi.org/10.21168/rbrh.v20n4.p1008-1018 |
Debora Yumi de Oliveira debora.ydo@gmail.com |