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Difference between
version 8
and
version 7:
| Lines 19-20 were replaced by line 19 |
| - # __Build Match-Up Datasets:__\\Once the user has input parameters in step 1, the workflow builds a set of “tiles” or “match-ups”. The match-up building starts with finding the coarsest granularity of timesteps depending on the metadata for the datasets. The dataset is sampled and closest timeframe of the other datasets is determined based on this coarsest dataset. |
| - For each timestep, the workflow finds the dataset with coarsest spatial granularity. Then the workflow randomly chooses spatial samples or “tiles” of this reference dataset. These are bounded by the min. and max. latitudes and longitudes. The spatial samples are randomly selected such that they cover the spatial percentage of the reference dataset.\\For each spatial sample selected in the previous step, the workflow determines the corresponding sample area in each of the other datasets. The SST values for the spatial samples are retrieved for each dataset. A description of the samples retrieved is written to a database. For each sample, the description including latitude,longitude center and descriptions of the sample for each dataset (Timeframe, Array of latitudes, Array of longitudes, SST values, Number of good SST values, Sum of SST values). |
| + # __Build Match-Up Datasets:__\\Once the user has input parameters in step 1, the workflow builds a set of “tiles” or “match-ups”. The match-up building starts with finding the coarsest granularity of timesteps depending on the metadata for the datasets. The dataset is sampled and closest timeframe of the other datasets is determined based on this coarsest dataset.\\For each timestep, the workflow finds the dataset with coarsest spatial granularity. Then the workflow randomly chooses spatial samples or “tiles” of this reference dataset. These are bounded by the min. and max. latitudes and longitudes. The spatial samples are randomly selected such that they cover the spatial percentage of the reference dataset.\\For each spatial sample selected in the previous step, the workflow determines the corresponding sample area in each of the other datasets. The SST values for the spatial samples are retrieved for each dataset. A description of the samples retrieved is written to a database. For each sample, the description including latitude,longitude center and descriptions of the sample for each dataset (Timeframe, Array of latitudes, Array of longitudes, SST values, Number of good SST values, Sum of SST values). |
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