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subroutine volgrid6d_compute_stat_proc |
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type(volgrid6d), intent(inout) |
this, |
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type(volgrid6d), intent(out) |
that, |
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integer, intent(in) |
stat_proc_input, |
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integer, intent(in) |
stat_proc, |
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type(timedelta), intent(in) |
step, |
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type(datetime), intent(in), optional |
start, |
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logical, intent(in), optional |
full_steps, |
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real, intent(in), optional |
frac_valid, |
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type(timedelta), intent(in), optional |
max_step, |
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logical, intent(in), optional |
weighted, |
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logical, intent(in), optional |
clone |
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) |
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General-purpose method for computing a statistical processing on data in a volgrid6d object already processed with the same statistical processing, on a different time interval specified by step and start.
This method tries to apply all the suitable specialized statistical processing methods according to the input and output statistical processing requested. The argument stat_proc_input determines which data will be processed, while the stat_proc argument determines the type of statistical process to be applied and which will be owned by output data.
The possible combinations are:
stat_proc_input = 254
- stat_proc = 0 average instantaneous observations
- stat_proc = 2 compute maximum of instantaneous observations
- stat_proc = 3 compute minimum of instantaneous observations
- stat_proc = 4 compute difference of instantaneous observations
processing is computed on longer time intervals by aggregation, see the description of volgrid6d_compute_stat_proc_agg()
stat_proc_input = *
- stat_proc = 254 consider statistically processed values as instantaneous without any extra processing
see the description of volgrid6d_decompute_stat_proc()
stat_proc_input = 0, 1, 2, 3, 4
- stat_proc = stat_proc_input recompute input data on different intervals
the same statistical processing is applied to obtain data processed on a different interval, either longer, by aggregation, or shorter, by differences, see the description of volgrid6d_recompute_stat_proc_agg() and volgrid6d_recompute_stat_proc_diff() respectively; it is also possible to provide stat_proc_input /= stat_proc, but it has to be used with care.
stat_proc_input = 0
a time-averaged rate or flux is transformed into a time-integrated value (sometimes called accumulated) on the same interval by multiplying the values by the length of the time interval in seconds, keeping constant all the rest, including the variable; the unit of the variable implicitly changes accordingly, this is supported officially in grib2 standard, in the other cases it is a forcing of the standards.
stat_proc_input = 1
a time-integrated value (sometimes called accumulated) is transformed into a time-averaged rate or flux on the same interval by dividing the values by the length of the time interval in seconds, see also the previous description of the opposite computation.
If a particular statistical processing cannot be performed on the input data, the program continues with a warning and, if requested, the input data is passed over to the volume specified by the other argument, in order to allow continuation of processing. All the other parameters are passed over to the specifical statistical processing methods and are documented there.
- Parametri
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[in,out] | this | volume providing data to be recomputed, it is not modified by the method, apart from performing a volgrid6d_alloc_vol on it |
[out] | that | output volume which will contain the recomputed data |
[in] | stat_proc_input | type of statistical processing of data that has to be processed (from grib2 table), only data having timerange of this type will be processed, the actual statistical processing performed and which will appear in the output volume, is however determined by stat_proc argument |
[in] | stat_proc | type of statistical processing to be recomputed (from grib2 table), data in output volume that will have a timerange of this type |
[in] | step | length of the step over which the statistical processing is performed |
[in] | start | start of statistical processing interval |
[in] | full_steps | if .TRUE. cumulate only on intervals starting at a forecast time modulo step, default is to cumulate on all possible combinations of intervals |
[in] | frac_valid | minimum fraction of valid data required for considering acceptable a recomputed value, default=1. |
[in] | weighted | if provided and .TRUE., the statistical process is computed, if possible, by weighting every value with a weight proportional to its validity interval |
[in] | clone | if provided and .TRUE. , clone the gaid's from this to that |
Definizione alla linea 295 del file volgrid6d_class_compute.F90.
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