
doi: 10.1007/bf03003525
The prediction of rain attenuation statistics is a question of meteorology and probability. Therefore, the possible accuracy of these predictions depends on the knowledge of meteorological mechanisms and data as well as on the statistical uncertainty due to the stochastic nature of meteorological events. Attenuations exceeded for less than 0.1 % of the time within the worst-month are caused by meteorological phenomena which are not well known. Experimental and theoretical investigations show that the inaccuracy is of the same order as the unavoidable statistical uncertainty.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
