Assessment of an ensemble seasonal streamflow forecasting system for Australia

Bennett, James C.; Wang, Quan J.; Robertson, David E.; Schepen, Andrew; Li, Ming; Michael, Kelvin

doi:10.5194/hess-21-6007-2017

Articles | Volume 21, issue 12

https://doi.org/10.5194/hess-21-6007-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Sub-seasonal to seasonal hydrological forecasting

https://doi.org/10.5194/hess-21-6007-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 12

Research article

|

30 Nov 2017

Research article |

| 30 Nov 2017

Assessment of an ensemble seasonal streamflow forecasting system for Australia

James C. Bennett, Quan J. Wang, David E. Robertson, Andrew Schepen, Ming Li, and Kelvin Michael

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Cumulative views and downloads (calculated since 07 Jul 2017)

Month	HTML	PDF	XML	Total
Jul 2017	275	52	2	329
Aug 2017	62	21	0	83
Sep 2017	52	14	0	66
Oct 2017	30	7	0	37
Nov 2017	90	24	2	116
Dec 2017	252	63	3	318
Jan 2018	69	55	1	125
Feb 2018	60	25	0	85
Mar 2018	39	21	0	60
Apr 2018	24	10	0	34
May 2018	20	12	0	32
Jun 2018	22	9	0	31
Jul 2018	24	15	0	39
Aug 2018	17	12	0	29
Sep 2018	28	19	0	47
Oct 2018	21	13	0	34
Nov 2018	20	15	1	36
Dec 2018	15	13	1	29
Jan 2019	12	5	0	17
Feb 2019	12	11	0	23
Mar 2019	9	6	0	15
Apr 2019	7	8	0	15
May 2019	12	9	0	21
Jun 2019	20	11	0	31
Jul 2019	16	17	0	33
Aug 2019	3	8	0	11
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Oct 2019	13	8	1	22
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Jan 2024	15	14	1	30
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Apr 2024	24	10	3	37
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Jun 2024	19	11	2	32
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Apr 2025	62	18	1	81
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Jul 2025	26	20	2	48
Aug 2025	24	12	1	37
Sep 2025	37	17	0	54
Oct 2025	18	33	0	51
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Short summary

We assess a new streamflow forecasting system in Australia. The system is designed to meet the need of water agencies for 12-month forecasts. The forecasts perform well in a wide range of rivers. Forecasts for shorter periods (up to 6 months) are generally informative. Forecasts sometimes did not perform well in a few very dry rivers. We test several techniques for improving streamflow forecasts in drylands, with mixed success.


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