Seasonal Streamflow Forecasts

Exceedance probability for Adelong Creek at Batlow Rd


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Product list for Adelong Creek at Batlow Rd



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Exceedance probability for Adelong Creek at Batlow Rd ( Jan 2014 )

Exceedance Probability Summary
Exceedance Prob. of
Streamflow (%)
Streamflow Forecast
(3 month total flow in GL)
Historical Reference
(3 month total flow in GL)
103.1038.059
202.4605.569
302.0734.350
401.7773.438
501.5412.787
601.3342.208
701.1431.763
800.9281.344
900.6920.898

Exceedance Probability
Exceedance Prob. of
Streamflow (%)
Streamflow Forecast
(3 month total flow in GL)
Historical Reference
(3 month total flow in GL)
15.28820.068
24.63215.063
34.23913.436
43.92812.239
53.74511.390
63.56210.345
73.4219.657
83.3109.043
93.2018.469
103.1038.059
112.9967.731
122.8967.384
132.8167.126
142.7606.872
152.7056.604
162.6596.398
172.6046.160
182.5515.923
192.5065.723
202.4605.569
212.4255.422
222.3775.256
232.3315.151
242.2934.990
252.2544.894
262.2174.811
272.1804.682
282.1424.582
292.1094.473
302.0734.350
312.0414.241
322.0064.128
331.9724.043
341.9443.963
351.9193.847
361.8933.760
371.8683.671
381.8383.591
391.8063.524
401.7773.438
411.7543.356
421.7333.296
431.7113.245
441.6843.177
451.6623.117
461.6423.048
471.6142.988
481.5852.910
491.5642.849
501.5412.787
511.5192.730
521.4912.674
531.4712.607
541.4522.547
551.4322.481
561.4172.409
571.3952.365
581.3752.320
591.3562.273
601.3342.208
611.3132.148
621.2922.104
631.2782.061
641.2602.012
651.2421.972
661.2221.933
671.2021.895
681.1851.847
691.1611.798
701.1431.763
711.1251.715
721.1051.677
731.0851.632
741.0631.593
751.0401.549
761.0181.510
770.9971.468
780.9761.429
790.9531.392
800.9281.344
810.9091.299
820.8861.256
830.8661.207
840.8481.167
850.8221.132
860.8011.085
870.7741.036
880.7500.997
890.7210.950
900.6920.898
910.6630.850
920.6400.792
930.6080.731
940.5700.656
950.5250.602
960.4730.539
970.4300.446
980.3680.364
990.2540.265


About the exceedance probability product


  1. The forecast is a simulation from the Bayesian Joint Probability (BJP) Model. The simulation comprises 5000 members.
  2. The forecast skill of the BJP model is different for different forecast periods of the year. Please look at the Model Validation results to assess model skill for this forecast period.
  3. The historical reference is a probabilistic representation of the historical data.
  4. The forecast location name is displayed in the graph title. Site forecast locations are followed by the Australian Water Resources Council (AWRC) river station number in brackets e.g. (405219).
  5. The streamflow data used for new forecasts and for verification is from realtime data sources which are not rigorously quality controlled.
  6. The historical reference plot and the historical data plots are derived from the available historical record. The legend shows the year associated with the start month of the forecast period.
  7. The RMSEP skill scores have been defined as less than 10 very low skill, 10-20 low skill, 20-40 moderate skill, greater than 40 high skill.
  8. Further explanation of some technical terms is provided under the FAQ.


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