Talks and Poster Presentations (with Proceedings-Entry):

S. Liu, X. Mo, W. Zhao, W. Wagner:
"The effect of climate change and climate variability to the Wuding Catchment soil moisture acquired from eco-hydrological simulation model, in situ observations and remotely sensing";
Talk: Egu 2008, Vienna; 2008-04-13 - 2008-04-18; in: "Geophysical Research Abstracts", 10 (2008), ISSN: 1607-7962; Paper ID 00601, 2 pages.

English abstract:
The catchment of theWuding River, Loess plateau, China, is one of the areas incurred most serious soil and water loss since 1970s because of both climatic change and human activities. It has been difficult to differentiate the response either from climate change or human ctivities. Soil moisture is one of the important, and yet possibly
better indexes than runoff, to explore such a response. However, the short records of soil moisture data make it difficult for such a long-term analysis. Based on these facts, the VIP ecosystem model, is used to simulate long-term soil moisture data, in order to explore the response of climate change. The simulated soil moisture data is validated and compared with both the in situ observations and remotely sensed soil moisture. The in situ observations are at two sites within the catchment, Suide and Yulin. The remotely sensed data was produced by Vienna University of Technology, one of the first global remotely sensed dataset based on data acquired with the predecessor instrument
of METOPīs Advanced Scatterometer (ASCAT) - the scatterometer on board
of the European Satellites ERS-1 and ERS-2. It is shown that the main trends of the soil moisture averaged over the catchment are in greement with the observations. The soil moisture storage (0-1 m, root layer) is within 100-250 mm, showing the pattern of summer recharge and spring depletion. The yearly variation of soil moisture matches
with precipitation. After being validated the soil moisture prediction with remotely sensed data, the model performance at large basin is more reliable. Then the model is used to simulate soil moisture data from 1951 onwards, to explore the responses of soil moisture to climate change at this large scale catchment.

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.