HEFS Trace Analysis Interface - Making Selections and Interpreting Results The HEFS Trace Analysis interface provides tremendous flexibility in deriving products and information from the available ensemble streamflow traces. It is very important that the selections and information be well understood, as potential for misinterpretation can be quite high. A very general overview of the HEFS process is provided in General Ensemble Theory for Streamflow Forecasts. Please also see HEFS - A Few Words of Caution to review the current limitations of HEFS as implemented at the CNRFC. The user interface allows for custom product and information generation based on the following selections: Users are encouraged to thoroughly review this document as well as other HEFS documents available on this website. If you would like interpretative assistance, please send an email to the CNRFC webmaster or call us at the number provided at the bottom of every page.
Ensemble streamflow prediction can only be performed at specific locations. These are usually streamflow gaging stations were stages and flow observations are available. It should be noted that unless otherwise indicated, the flows for the location you select will be “full natural flow”. That is the streamflow that would have occurred without upstream water management (reservoir regulation, diversions, etc.).
These two selections really need to be addressed together because they are related. The accumulation type refers to how the data will be treated during the interval.
Your choices here are (1) Empirical and (2) Wakeby. The distribution selection is used to fit or describe the relationship between probability and forecast magnitude. Choosing a distribution that fits the data very poorly can lead to inaccurate estimates of probability. Fortunately, the two options provided should fit the data reasonably well, however, they will be different. Which is better? That's up to you and your analysis of the fit and application.
Select the beginning date for your analysis period of interest. The system will not allow you to select a date in the past. If you select a starting date that is not contained within the currently available traces, you will be provided with an error message that indicates what dates are available in the current traces.
Select the ending date for your analysis period of interest. If you select an ending date that is beyond what is available in the currently available traces, you will be provided with an error message that indicates what dates are available in the current traces. Selecting the last day of the currently available traces will result in an error because the traces end at midnight on that day and no mean daily value is available.
These options allow the user to generate a graphical plot. The content of the plot depends on the previous selections made in steps 1-5. The plot options are Traces will show the streamflow time series for each calibration year over the selected analysis period. Data will be aggregated for the interval selected. For example, if you select If you select If you select If you select Probability plots allow you to display the statistical probability distribution of the traces shown above. Instead of showing the individual time series, the time series are collected, analyzed, and fit with a distribution. From this distribution, ranges of exceedance probabilities are sampled and displayed. Currently, the CNRFC is fitting a Log-Normal distribution for all analysis on this website. Further refinement of this may be appropriate in the future. Users are advised to consider these probabilities as estimates as they do not represent the uncertainty associated with model errors and current model states. The uncertainty exhibited by the traces is strictly a function of the uncertainty associated with future weather and climate. For long-range seasonal volumes, the uncertainty associated with future weather and climate is so great that the model and model state errors are normally dwarfed. For nearer term forecast horizons (weeks), the uncertainly associated model and model states may be significant, leading to a higher level of confidence than is appropriate. Work is currently underway to more appropriately address and include all significant sources of uncertainty. If you select If you select Now here’s where you can make things interesting. If you select If you select Summation products simply add up the mean daily flows for the interval you’ve selected. If you select If you select Okay, let's customize this a bit. Let's say you are interested in the probability distribution of low flows during the last half of August. Select The expected value plot simply shows the probability information in a different way. Inferences related to the selection of Mean, Minimum, Maximum, and Summation can be taken from the examples related to the plots. Aside, from looking different, the most important distinction is that there is no assumption or fitting of a theoretical probability distribution. Instead, the distribution mean, standard deviation, and maximum and minimum values are plotted. This is an informative plot if you’re interested in quickly seeing the ensemble means. It is also helpful if you’re interested in the extreme values present in the data set. Extreme values may influence, but are not explicitly shown on the probability plots. If you select
The daily plot is a bit busy, it's easier to see what's going on if you select
This display option plots the exceedance probability (%) against the log of flow. Since the CNRFC is currently using a Log-Normal distribution, this will plot will always show a straight line. The plotted points, however, may not fall right on the line. The degree to which the fitted distribution fits the data values affects the degree of confidence one should place on the probability estimates. When generating probability plots or tables, its always a good idea to check the exceedance plot to make sure that the assumed distribution is a reasonable fit. Inferences related to the selection of the Accumulation Type and the Interval can be taken from the section on Probability. If you select This is a good fit, but it certainly isn't perfect. Above the 10% exceedence level, one might expect this fitted distribution to slightly underestimate the flows.
This selection option allows the user to generate a table instead of plots. Often, it is difficult to read specific numbers off of a plot. The tables make this easier to read. Inferences related to the selection of the Accumulation Type and Interval can be taken from the section on Probability. If you select # ESP Forecast Information # # Analysis Period: 5/24/2022 24 - 8/1/2022 24 (Z) # Forecast Parameters: River Flow (Mean) - (CFSD) # # Forecast Interval: 1 Week # Forecast Point: BR, AT, YOSEMITE, NR # # BR, AT, YOSEMITE, NR 0.90 0.75 0.50 0.25 0.10 Units # -------------------------------------------------------------------------------------------------------- 05/24/2022 - 05/31/2022 1182.30 1226.72 1303.90 1395.08 1417.20 (CFSD) 05/31/2022 - 06/07/2022 750.41 796.16 848.69 875.27 904.47 (CFSD) 06/07/2022 - 06/14/2022 503.81 555.13 606.90 638.62 794.74 (CFSD) 06/14/2022 - 06/21/2022 347.81 366.24 386.72 435.29 555.39 (CFSD) 06/21/2022 - 06/28/2022 220.77 231.74 246.39 264.64 341.64 (CFSD) 06/28/2022 - 07/05/2022 161.74 166.49 172.95 183.75 218.88 (CFSD) 07/05/2022 - 07/12/2022 128.99 130.79 133.44 140.71 158.19 (CFSD) 07/12/2022 - 07/19/2022 106.24 107.54 109.00 114.97 136.08 (CFSD) 07/19/2022 - 07/26/2022 88.97 89.72 91.94 96.39 110.68 (CFSD) From this you can find the flow rates associated with each probability level and each weekly period. You can do the same sort of table generation for any combination of Accumulation Type and Interval. For example, if you wanted to review the accumulation volume ( # ESP Forecast Information # # Analysis Period: 5/24/2022 24 - 8/1/2022 24 (Z) # Forecast Parameters: Volume (Sum) - (AC-FT) # # Forecast Interval: Forecast Window # Forecast Point: BR, AT, YOSEMITE, NR # # BR, AT, YOSEMITE, NR 0.90 0.75 0.50 0.25 0.10 Units # -------------------------------------------------------------------------------------------------------- 05/24/2022 - 08/01/2022 52955.46 53669.77 55292.34 58431.48 64164.69 (AC-FT) Note that the units are cfs-days (CFSD). To convert to acre-feet, multiply by 1.9835. |