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Publication : hydrological sciences journal/journal des sciences hydrologiques

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Academic Journal

Estimating the added value of GRACE total water storage and uncertainty quantification in seasonal streamflow forecasting.

Authors : Liu, Li¹ (AUTHOR); Xie, Jingkai¹ (AUTHOR); Gu, Haiting¹ (AUTHOR)

Source: Hydrological Sciences Journal/Journal des Sciences Hydrologiques. Feb2022, Vol. 67 Issue 2, p304-318. 15p.

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Academic Journal

Rainfall–runoff modelling using octonion-valued neural networks.

Authors : Shishegar, Shadab¹ (AUTHOR) ; Ghorbani, Reza² (AUTHOR); Saad Saoud, Lyes³ (AUTHOR)

Source: Hydrological Sciences Journal/Journal des Sciences Hydrologiques. Oct 2021, Vol. 66 Issue 13, p1857-1865. 9p.

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Academic Journal

Multi-model approach of data-driven flood forecasting with error correction for large river basins.

Authors : Lim, Foo Hoat¹ (AUTHOR); Lee, Wei-Koon² (AUTHOR) ; Osman, Sazali³ (AUTHOR)

Source: Hydrological Sciences Journal/Journal des Sciences Hydrologiques. Jul2022, Vol. 67 Issue 8, p1253-1271. 19p.

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Academic Journal

Benchmarking seasonal forecasting skill using river flow persistence in Irish catchments.

Authors : Foran Quinn, Dáire¹ (AUTHOR) ; Murphy, Conor¹ (AUTHOR); Wilby, Robert L.² (AUTHOR)

Source: Hydrological Sciences Journal/Journal des Sciences Hydrologiques. Apr2021, Vol. 66 Issue 4, p672-688. 17p.

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Academic Journal

Hydrological uncertainty processor based on a copula function.

Authors : Liu, Zhangjun^1,2 (AUTHOR); Guo, Shenglian¹ (AUTHOR) ; Xiong, Lihua¹ (AUTHOR)

Source: Hydrological Sciences Journal/Journal des Sciences Hydrologiques. Jan2018, Vol. 63 Issue 1, p74-86. 13p.

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Academic Journal

Selection between the generalized Pareto and kappa distributions in peaks-over-threshold hydrological frequency modelling.

Authors : Ashkar, Fahim¹ (AUTHOR) ; Ba, Ismaila¹ (AUTHOR)

Source: Hydrological Sciences Journal/Journal des Sciences Hydrologiques. Jun2017, Vol. 62 Issue 7, p1167-1180. 14p.

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Academic Journal

How do potential evapotranspiration formulas influence hydrological projections?

Authors : Seiller, G.¹ (AUTHOR) ; Anctil, F.¹ (AUTHOR)

Source: Hydrological Sciences Journal/Journal des Sciences Hydrologiques. 2016, Vol. 61 Issue 12, p2249-2266. 18p.

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Academic Journal

Hydrologic simulation approach for El Niño Southern Oscillation (ENSO)-affected watershed with limited raingauge stations.

Authors : Sharma, Suresh¹ (AUTHOR) ; Srivastava, Puneet² (AUTHOR); Fang, Xing³ (AUTHOR)

Source: Hydrological Sciences Journal/Journal des Sciences Hydrologiques. May2016, Vol. 61 Issue 6, p991-1000. 10p.

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Academic Journal

Projections of hydrology in the Tocantins-Araguaia Basin, Brazil: uncertainty assessment using the CMIP5 ensemble.

Authors : Ho, Joon Ting¹ (AUTHOR) ; Thompson, Julian R.¹ (AUTHOR); Brierley, Chris¹ (AUTHOR)

Source: Hydrological Sciences Journal/Journal des Sciences Hydrologiques. Mar2016, Vol. 61 Issue 3, p551-567. 17p.

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Academic Journal

Regionalisation of hydrological responses under land-use change and variable data quality.

Authors : Visessri, S.¹ (AUTHOR) ; McIntyre, N.² (AUTHOR)

Source: Hydrological Sciences Journal/Journal des Sciences Hydrologiques. Feb2016, Vol. 61 Issue 2, p302-320. 19p.

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نتائج البحث

فلترة النتائج

Estimating the added value of GRACE total water storage and uncertainty quantification in seasonal streamflow forecasting.

Rainfall–runoff modelling using octonion-valued neural networks.

Multi-model approach of data-driven flood forecasting with error correction for large river basins.

Benchmarking seasonal forecasting skill using river flow persistence in Irish catchments.

Hydrological uncertainty processor based on a copula function.

Selection between the generalized Pareto and kappa distributions in peaks-over-threshold hydrological frequency modelling.

How do potential evapotranspiration formulas influence hydrological projections?

Hydrologic simulation approach for El Niño Southern Oscillation (ENSO)-affected watershed with limited raingauge stations.

Projections of hydrology in the Tocantins-Araguaia Basin, Brazil: uncertainty assessment using the CMIP5 ensemble.

Regionalisation of hydrological responses under land-use change and variable data quality.

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