研究方向：水文地理空间大数据分析、全球高分辨率水文建模、洪水灾害模拟预报与机制研究、陆气耦合作用。致力于解决大尺度水文气候建模理论方法与应用研究中的空间数据建模问题，提高对地表径流等关键气候变量的大尺度模拟及预报能力，推进对陆地水循环变化规律及其与气候变化和人类活动相互作用的认知。

For more information, please visit https://sites.google.com/view/peironglinlin/home?authuser=0

I study the geography of global inland waters, their response to climate change/human perturbations, and their feedback to the climate system. My research takes a holistic earth system science view to study the interface linking the hydrosphere, atmosphere, and human components. In the meantime, I also put strong emphasis on translating science into operations.

I jointly use physically based numerical models, space observations, and data-driven methods to gain insights into the fundamentals of the terrestrial water cycle. To achieve a better understanding on the inland water dynamics, as well as to satisfy the need of real-world applications, my research has been conducted at an unprecedented spatial resolution (up to 90-m) at the global scale, which has been unachievable previously due to a lack of research tools. To bridge these gaps, I develop numerical models (both offline hydrologic models and coupled hydroclimate models) by leveraging the use of geographic information system, remote sensing, and machine learning tools.