Collaborative Research: Changes in Characteristics of Global Precipitation Since 1900 from Observations, Analyses, and Models: Mechanisms and Uncertainties

这项合作工作的目的是对降水变率进行全面诊断，阐明观测和模拟的降水数据之间的差异。将探索与这些差异相关的动态机制和不确定性，并将对重建和建模数据的不确定性进行量化。交付成果包括：(I)全球降水场的误差估计；(Ii)降水动力学、数据分析和相应的不确定性估计；(Ii)全球和特定区域日、月、季和年尺度的重建降水数据的基准数据集；(Iii)关于减少模式降水中系统偏差的反馈和指导；(Iv)对博士后研究人员、研究生、本科生和高中生进行专业培训，特别关注少数群体和代表性不足群体。这项研究工作产生了重大的更广泛的影响：除了对代表不足的少数族裔学生进行培训和推广外，这项活动还有可能使对降水感兴趣的利益攸关方优化决策，减轻干旱和洪水造成的影响。

This collaborative effort aims at conducting comprehensive diagnostics on precipitation variability, elucidating differences between observed and modeled precipitation data. Dynamic mechanisms and uncertainties associated with these differences will be explored and uncertainties will be quantified for both reconstructed and modeled data. The deliverables include (i) error estimation for global precipitation fields; (ii) precipitation dynamics, data analyses and corresponding uncertainty estimates; (ii) benchmark datasets of the reconstructed precipitation data on daily, monthly, seasonal, and annual scales over the globe and specific regions; (iii) feedback and guidance on reduction of systematic biases in model precipitation; and (iv) professional training of postdoctoral researchers, graduate students, undergraduate students, and high-school students with special attention to minority and underrepresented groups. This research effort has significant broader impacts: in addition to the training and outreach to underrepresented minority students, this activity has the potential of enabling stakeholders interested in precipitation optimize decisions and mitigate impacts due to droughts and floods.