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In this case the raw data (without post-processing) is ~9.85GB, which would be reduced if you interpolate to lat/lon and/or filter the area. The data is 1 single tape, which is sensible. |
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To know the size of the file that will be transferred to the system, you can download 1 field using the Post-processing keywords (usually GRID and AREA). Then you should multiply the size of the 1 field file by the number of fields that you want to retrieve in 1 request: number_of_fields=3003. |
Now that we know the size of the data that we want to retrive retrieve in one go from the same hypercube we can start the study of the way to iterate to get the full time and date.
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Using the browser we know how the data is distributed in the MARS tree. Now we focus on the current "Current selection" section. In this case:
From the top to the bottom we have to start iterating from the inner loop to the outer loop "time", "date", ...
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