The annual cycles of tropical and subtropical precipitation were estimated by parameterizing them using the inferential circular statistics approach. The Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) version 7 dataset which has spatial coverage from 50°S to 50°N and temporal coverage from 1998 to 2018 (21 years) was used to compute the monthly precipitation climatology data. Their annual cycles can be estimated using the bimodal von Mises distribution. The estimated parameters were found to sufficiently capture some interesting characteristics such as the non-uniformity and bimodality of precipitation rate associated with regions of convergence zones and subtropical highs. The difference in timings of maximum and minimum precipitation suggest that precipitation maxima over the continent were found to follow the position of the Sun at an average time lag of 1.2 months. Three examples of applying these parameters are given including the regional classification of precipitation which emphasizes on the bimodality the non-uniformity and the bimodality of their annual cycles, the evolution of the southern Intertropical Convergence Zone (ITCZ) in the Pacific Ocean which was found to propagate westward from 90°W in mid-March to 150°W in early-April at an estimated speed of 21.6 km/h, and the precipitation variability in the case of Paris in France in which the precipitation anomaly tend to decrease at a highly significant rate of −9.716 mm/month per decade (p value ≤0.01).

通过使用推断循环统计方法对它们进行参数化，可以估算热带和亚热带降水的年周期。热带雨量测量任务（TRMM）多卫星降水分析（TMPA）版本7数据集，其空间覆盖范围为50 ° S至50 °利用1998年至2018年的N和时间覆盖（21年）来计算月降水气候学数据。可以使用双峰von Mises分布估算其年度周期。发现估计的参数足以捕获一些有趣的特征，例如与收敛区和亚热带高压区相关的降水率的非均匀性和双峰性。最大和最小降水时间的差异表明，整个大陆的最大降水被发现遵循太阳的位置，平均时滞为1.2个月。给出了应用这些参数的三个示例，包括降水的区域分类，该分类强调了双峰的非均匀性和年周期的双峰，° W的三月中旬至150 °，在21.6公里/小时速度估计W的4月初，在巴黎的情况下，降水变率在法国，其中降水异常往往在一个高度显著率下降-每十年9.716毫米/月（p值≤0.01）。