Land surface water dynamics from a model-data fusion perspective, Jiang Peng
Sprache des Titels:
Englisch
Original Kurzfassung:
Land surface water and energy fluxes are essential components of the Earth system. The temporal and spatial variability of water and energy fluxes are determined by complex interactions between the land surface and the atmosphere. The interactions are determined by the complexity of different landscape compartments such as soil, vegetation and topography. Remote sensing provides substantial opportunities to acquire complex water cycle information continuously in time and space. Further integration of remote sensing data with Earth system models will help improve the accuracy of global and climate change predictions and assist in the development of research strategies for change mitigation and adaptation and sustainable transformation. Based on the model-data fusion approach, we aim to develop a coherent monitoring and modelling framework for terrestrial fluxes estimation across scales. It maximizes the usage of multi-source satellite observations (optical, thermal infrared and microwave) that allow to quantify soil moisture and evaporation dynamics at different spatiotemporal scales. The aim of this presentation is to introduce our recent work on the quantification of high-resolution water cycle variables and to provide insights on how these products can improve the understanding of land-atmosphere interactions and hydro-climatic extremes.
Forschungs-