Zobrazeno 1 - 10
of 23
pro vyhledávání: '"F. M. Woldemeskel"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 229-254 (2023)
The Hydrologic Reference Stations is a network of 467 high-quality streamflow gauging stations across Australia that is developed and maintained by the Bureau of Meteorology as part of an ongoing responsibility under the Water Act 2007. The main obje
Externí odkaz:
https://doaj.org/article/93dfd7cc8cfa4ae2bca57c9411b23e03
Autor:
H. A. P. Hapuarachchi, M. A. Bari, A. Kabir, M. M. Hasan, F. M. Woldemeskel, N. Gamage, P. D. Sunter, X. S. Zhang, D. E. Robertson, J. C. Bennett, P. M. Feikema
Publikováno v:
Hydrology and Earth System Sciences, Vol 26, Pp 4801-4821 (2022)
Reliable streamflow forecasts with associated uncertainty estimates are essential to manage and make better use of Australia's scarce surface water resources. Here we present the development of an operational 7 d ensemble streamflow forecasting servi
Externí odkaz:
https://doaj.org/article/c32afe9ac7914895882fc8c1154bb1d9
Autor:
B. Sivakumar, F. M. Woldemeskel
Publikováno v:
Hydrology and Earth System Sciences, Vol 18, Iss 11, Pp 4565-4578 (2014)
Streamflow modeling is an enormously challenging problem, due to the complex and nonlinear interactions between climate inputs and landscape characteristics over a wide range of spatial and temporal scales. A basic idea in streamflow studies is to es
Externí odkaz:
https://doaj.org/article/0701c280712d43728eb4b0709996ad93
Autor:
F. M. Woldemeskel, Richard Laugesen, Dmitri Kavetski, Mark Thyer, David McInerney, George Kuczera, Narendra Tuteja
Publikováno v:
Water Resources Research. 57
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9cdc73406ee62f46371bc2d1dc6c6e7
https://doi.org/10.1029/2020wr029317
https://doi.org/10.1029/2020wr029317
Autor:
George Kuczera, Mark Thyer, Daehyok Shin, Dmitri Kavetski, Narendra Tuteja, David McInerney, Julien Lerat, F. M. Woldemeskel
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 6257-6278 (2018)
Streamflow forecasting is prone to substantial uncertainty due to errors in meteorological forecasts, hydrological model structure, and parameterization, as well as in the observed rainfall and streamflow data used to calibrate the models. Statistica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd48b572c21fed5e85f01e91609cdee8
https://doi.org/10.5194/hess-22-6257-2018
https://doi.org/10.5194/hess-22-6257-2018
Autor:
Srivatsan V. Raghavan, Shie-Yui Liong, Minh Tue Vu, Bellie Sivakumar, Ihsan Naufan, F. M. Woldemeskel
Publikováno v:
Journal of Hydrology. 556:1232-1243
Understanding the spatial and temporal variability of rainfall has always been a great challenge, and the impacts of climate change further complicate this issue. The present study employs the concepts of complex networks to study the spatial connect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12f8ffe4a36544bd311da23ea13330cd
https://doi.org/10.1016/j.jhydrol.2017.05.029
https://doi.org/10.1016/j.jhydrol.2017.05.029
Publikováno v:
Journal of Hydrology. 545:478-493
This study introduces the concepts of complex networks, especially community structure, to classify catchments in large-scale river basins. The Mississippi River basin (MRB) is considered as a representative large-scale basin, and daily streamflow fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::673700070e78462599aff4cc089f6195
https://doi.org/10.1016/j.jhydrol.2016.11.056
https://doi.org/10.1016/j.jhydrol.2016.11.056
Publikováno v:
Springer Water ISBN: 9783030021962
Large-scale river basins play a key role in the development of many regions around the world. However, their enormous sizes and the associated complexities also make streamflow modeling and, hence, water planning and management a tremendous challenge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68cd8e237393be1b141defe6a387d281
https://doi.org/10.1007/978-3-030-02197-9_10
https://doi.org/10.1007/978-3-030-02197-9_10
Autor:
PM Feikema, Julien Lerat, Christopher Pickett-Heaps, David McInerney, F. M. Woldemeskel, Daeyhok Shin, Mark Thyer, Dmitri Kavetski
Publikováno v:
Journal of Hydrology. 591:125129
Development of robust approaches for calibrating daily rainfall-runoff models to monthly streamflow data is of major practical interest. Such approaches would enable widely used hydrological modelling platforms that operate at daily time step to be a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae14a3e387709ee659f70e682653bbd9
https://doi.org/10.1016/j.jhydrol.2020.125129
https://doi.org/10.1016/j.jhydrol.2020.125129
Publikováno v:
Journal of Hydrology. 542:581-588
Stochastic rainfall generation is important for a range of hydrologic and water resources applications. Stochastic rainfall can be generated using a number of models; however, preserving relevant attributes of the observed rainfall—including rainfa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c14f6f890fcd954d4b846ac058773e1e
https://doi.org/10.1016/j.jhydrol.2016.09.028
https://doi.org/10.1016/j.jhydrol.2016.09.028