WET - Variability and Trends in Water Balance Components of Benchmark Drainage Basins on the Tibetan Plateau
The project WET intends the development of a modeling- and monitoring-system (iMoMoS-WET), which depicts the coupling between climate and water circulation under consideration of process-dynamics of the benchmark basins on the Tibet-plateau and the surrounding high-altitude areas. The monitoring system comprises numerical models and high-tech monitoring technologies for satellite-based remote sensing to capture the spatiotemporal distribution of all relevant components of water budget. This combination of various scientific-technical methods should allow area-differentiated and process-oriented modeling of water budget components of the investigated basins over, the last ten years, as well as analyzing of related trends and variability. The modeling- and monitoring-system (iMoMoS-WET) is planned to be an effective tool for real time-monitoring and sensitivity-analyses.
Beside the Tibet-Plateau as a whole, six selected areas (Nam Co, Purogangri Ice Field, Southeast Tibet (Linzhi), Qomolangma (Mt. Everest), Kailash, Muztagh Ata) are in the focus of being investigated in detail. Because of the spatial arrangement of these selected areas, it will be possible to separate the different effects of the westerly’s and monsoon air masses on the basins.
In addition, research institutions of the established cooperation partners exist at logistically convenient locations and will be complemented by installation of further planned stations. After the successful validation, the modeling- and monitoring-system (iMoMoS-WET) will be integrated into the infrastructure of the selected research institutions, in order to develop innovative and multifunctional long-term-observatories. The operational mode of the iMoMoS-WET in the benchmark areas will be thoroughly prepared including the instruction of the local scientists, in order to achieve a real-time continuation of the models and the monitoring.
Involved institutes and working groups