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This study identifies the intrinsic dependence of the aforementioned synoptic method on the weather conditions that exist at each site, which affect the reliability and accuracy of the estimates.
Thus, corrective changes that would enable the synoptic method to generate more reliable approximations are proposed, and a new optimised methodology is presented; the precision of the new method relies on synoptic observations but is independent of weather conditions.
The results, validated at four Spanish sites, suggest that in the absence of hourly data for implementing the ISO standard, this optimised synoptic method is able to generate reasonably accurate estimates of the annual directional exposure to driving rain, regardless of the particular site conditions.
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Synoptic Methods and Practices.
The synoptic survey methods and designs we used appear adequate to evaluate regional patterns in bed stability and sedimentation and their general relationship to human disturbances.
We compared this synoptic-scale method to other methods.
We evaluate this synoptic-scale outbreak method using the historical data for baselines and adding artificial outbreaks, as has been done in other research [ 24, 25].
Our synoptic-scale detection method uses a simple control chart based on the assumption that the daily counts are independently distributed Poisson random variables with a changing mean λ t.
Analyses are carried out by making recourse to the equivalent wind spectrum technique, a method developed for synoptic stationary winds, the use of which is extended here to non-synoptic non-stationary conditions.
Moreover, the method offers a synoptic view of subsidence funnels.
Synoptic reporting provides a structured method for entering the diagnostic as well as prognostic information for a particular pathology specimen or sample, thereby reducing transcription services and reducing specimen turnaround time.
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