Table 3 Initial parameters for forecast quality assessment
Name | Description | Value |
|---|---|---|
\(\Delta t\) | Length of model time unit | 10Â min |
\(n\) | Number of iterations | 72 |
\(T\) | Prediction period (\(n\Delta t = T\)) | 720 min = 12 h (for each IM) |
\(p\) | Number of IMs | 30 |
\(k\) | Number of batches (\(A\)—set of assimilation batches, \(A\)—set of check batches,\(A \subseteq C\)) | \(\left| C \right| = 24\), to study the influence of the batch frequency following number of batches for assimilation were used: for 30 min \(\left| A \right| = 24\), for 60 min \(\left| A \right| = 12\) |
\(l\) | The length of the time interval between batches (\(lk\)—the period of assimilation) | 30 min ({30 min, 60 min, 90 min} to study the effect of the frequency of the batch) |
\(N\) | The number of computational processes | 8 |