Evolution and Future Directions of the Noah-MP Land Surface Model

Zong-Liang Yang
UT Austin
  5 February, 2pm

Abstract:

Over the past decade or so, the Noah-MP Land Surface Model has evolved into a sophisticated tool capable of accurately representing surface energy, water, and carbon balances across various spatial and temporal scales. This talk will trace the model's development, from its inception and foundational motivations to key assumptions and seminal publications. We will explore its diverse implementations in weather forecasting and climate studies, including assessments of land-atmosphere coupling, climate-carbon interactions, and the impacts of land use and land cover changes. Recent advancements have integrated Noah-MP with models of surface hydrology, groundwater, plant hydraulics, and air quality, enhancing its predictive capabilities. Innovations such as data assimilation techniques, multi-physics frameworks, and hyperresolution modeling are pushing the model's boundaries. Drawing from my research team's experiences and broader community literature, I will discuss current developments and share perspectives on emerging topics like hyperresolution modeling, extreme event prediction, and AI-enabled enhancements. The session will conclude with insights into the need for coordinated, multidisciplinary efforts to address the complex challenges facing next-generation land surface modeling.