In this post, HEC-DSSVue is used to convert an irregular time series to an hourly time series. Our irregular data consists of two values per day, one at noon and one at midnight.
The naming convention for DSS paths is as follows:
A part = Project, river, or basin name
B part = Location
C part = Data parameter
D part = Starting date of block, in a 9 character military format
E part = Time interval
F part = Additional user-defined descriptive information
The naming of the data set is shown below. Notice that the E part selected is IR-DAY, which means that we are entering irregular data for each day. The data that we are entering are pool elevation values for "Big Reservoir".
Data is entered for the first three days of January 2016 at noon and midnight.
We use the math function in DSSVue to convert irregular to regular selecting a time interval of 1 hour.
Now we have data at each hour. The hourly intervals are developed using interpolation.
From this computation, a new DSS path is created while the original DSS path is maintained.
It is important to check the data prior to performing this conversion. In the figure below, there is an error in one of the values giving a pool elevation of 5.19 feet instead of 55.19 feet.
If the computation is performed on this data set, the following data set is developed.
The naming convention for DSS paths is as follows:
A part = Project, river, or basin name
B part = Location
C part = Data parameter
D part = Starting date of block, in a 9 character military format
E part = Time interval
F part = Additional user-defined descriptive information
The naming of the data set is shown below. Notice that the E part selected is IR-DAY, which means that we are entering irregular data for each day. The data that we are entering are pool elevation values for "Big Reservoir".
Data is entered for the first three days of January 2016 at noon and midnight.
We use the math function in DSSVue to convert irregular to regular selecting a time interval of 1 hour.
Now we have data at each hour. The hourly intervals are developed using interpolation.
From this computation, a new DSS path is created while the original DSS path is maintained.
It is important to check the data prior to performing this conversion. In the figure below, there is an error in one of the values giving a pool elevation of 5.19 feet instead of 55.19 feet.
If the computation is performed on this data set, the following data set is developed.
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