Debora Yumi de Oliveira
Publicações

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

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

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

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

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

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

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

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

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

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

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

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

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