
doi: 10.1007/bf02509199
A method by which meteorological parameters may be predicted is described. This method is mostly based on analytical expressions in which some of the coefficients are evaluated on the basis of past meteorological records from the particular region for which the prediction is being made. The method, which is based upon well-defined physical processes, can be used to predict continuous magnitudes of parameters that are themselves continuous in time,e.g., temperature. On the other hand, the method can be used to predict maximum monthly value per year (MMVPY) variations of those parameters that are discontinuous in time,e.g., rainfall in most (if not all) places. The workability of the method is ascertained by sample predictions on ground air temperature and maximum monthly rainfall per year (MMRPY) variations. For those regions in which MMRPY variations are positively correlated with annual rainfall variations, predictions on the former may possibly be used to predict occurrences of droughts and unusually heavy rainfalls.
| 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). | 8 | |
| 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 |
