Has rainfall become more variable or extreme?

全球日降雨量的趋势和变化是不确定的。通过解决数据缺陷和观测与模型之间存在的比例问题，该项目旨在对陆地日降雨量的变异性和趋势进行第一次有良好约束的长期评估。对所得数据进行极值分析，将使人们能够在前所未有的大范围内探索极端降雨量对网格分辨率、内插方法和操作顺序的敏感性。归根结底，这意味着可以针对可能导致洪水的事件类型计算出改进的重现期估计。了解下雨的方式、地点和原因，对于我们的规划者和政策制定者做出正确的决定至关重要。

The trends and variability of global daily rainfall are uncertain. By tackling data shortcomings and the scaling issues that exist between observations and models, this project aims to produce the first well-constrained long-term assessment of the variability and trends in daily rainfall over land. Using extreme value analysis on the resulting data would allow the exploration of the sensitivity of rainfall extremes to grid resolution, interpolation method and order of operation on an unprecedented grand scale. Ultimately, this means that improved return period estimates could be calculated for the types of events that could lead to flooding. Understanding how, where and why it rains is vital for enabling sound decisions to be made by our planners and policy-makers.