Developing probabilistic precipitation datasets for high mountain regions in a changing climate

该项目将以现有方法为基础，获得可能的降水场的多种实现，从而获得对比高山地区（例如阿尔卑斯山/落基山脉和喜马拉雅山/安第斯山脉）的概率不确定性估计。他们将发展以下方面的技能：降水量统计建模、雪、冰川和水文学的数值建模、当地观测分析、遥感、气象再分析和气候模型。他们将获得编程，参数估计，优化算法和灵敏度/不确定性分析方面的高级技能。

This project will build on existing methods to obtain multiple realisations of plausible precipitation fields and thus probabilistic uncertainty estimates for contrasting high mountain regions (e.g. Alps/Rockies and Himalaya/Andes). They will develop skills in statistical modelling of precipitation, numerical modelling of snow, glaciers and hydrology, and analysis of local observations, remote sensing, meteorological reanalyses and climate models. They will gain advanced skills in programming, parameter estimation, optimisation algorithms and sensitivity/uncertainty analysis.