Seasonal Streamflow Forecasts

Probability distribution for Coalseam Creek at Laura River


Return to catchment list
Product list for Coalseam Creek at Laura River


Download forecast data
Probability distribution for Coalseam Creek at Laura River( Sep 2014 )

Basic Statistics
Streamflow Forecast
(3 month total flow in GL)
Historical Reference
(3 month total flow in GL)
25% Quartile0.0000.028
Median0.1040.306
Mean0.6691.410
75% Quartile0.5722.005
Interquartile Range0.5721.977

Exceedance Probability
Exceedance Prob. of
Streamflow (%)
Streamflow Forecast
(3 month total flow in GL)
Historical Reference
(3 month total flow in GL)
17.3919.462
25.5347.906
34.7407.294
44.0076.790
53.4416.416
62.9325.894
72.5495.525
82.3415.178
92.1174.830
101.9514.567
111.7494.347
121.5844.103
131.4313.916
141.3313.728
151.2303.520
161.1413.354
171.0533.159
180.9742.959
190.8932.782
200.8212.642
210.7592.507
220.7162.357
230.6632.252
240.6122.100
250.5732.005
260.5341.924
270.5051.801
280.4661.705
290.4401.595
300.4161.476
310.3921.370
320.3701.265
330.3441.185
340.3231.108
350.2991.007
360.2840.931
370.2670.857
380.2480.793
390.2370.742
400.2200.678
410.2040.621
420.1900.580
430.1750.548
440.1610.506
450.1520.470
460.1420.432
470.1310.400
480.1230.361
490.1130.333
500.1040.306
510.0970.282
520.0890.260
530.0820.236
540.0770.215
550.0710.195
560.0660.172
570.0610.160
580.0550.149
590.0490.137
600.0440.123
610.0400.109
620.0340.101
630.0290.093
640.0250.084
650.0220.078
660.0190.071
670.0160.066
680.0130.059
690.0100.053
700.0060.049
710.0040.044
720.0010.040
730.0000.035
740.0000.032
750.0000.028
760.0000.025
770.0000.022
780.0000.019
790.0000.017
800.0000.014
810.0000.012
820.0000.010
830.0000.008
840.0000.006
850.0000.005
860.0000.004
870.0000.002
880.0000.001
890.0000.000
900.0000.000
910.0000.000
920.0000.000
930.0000.000
940.0000.000
950.0000.000
960.0000.000
970.0000.000
980.0000.000
990.0000.000


About the probability distribution 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 The historical reference is a probabilistic representation of the historical data.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. The 25% quartile, also defined as the first quartile cuts off the lowest 25% of data. The 75% quartile, also defined as the third quartile cuts off the lowest 75%. The interquartile range, also called the middle fifty, is a measure of statistical dispersion, being equal to the difference between the third and first quartiles.
  9. Further explanation of some technical terms is provided under the FAQ.


Creative Commons By Attribution logo
Unless otherwise noted, all material on this page is licensed under the Creative Commons Attribution Australia Licence