A benchmark study on remotely sensed data assimilation for water budget estimation over different hydroclimatic areas
Alexandra Gemitzi1, Amir Hossein Ahrari2, Philip Brunner3, Bin Fang4, Kedar Ghag2, Ali Torabi Haghighi2, Bjørn Kløve2, Maria Kofidou1, Venkataraman (Venkat) Lakshmi4, Anandharuban Panchanathan2, Clément Roques3, Stavros Stathopoulos1, Radosław Szostak5, Przemysław Wachniew5, Mirosław Zimnoch5 and Luca Zappa6, (1)Democritus University of Thrace, Environmental Engineering, Xanthi, Greece, (2)University of Oulu, Water, Energy and Environmental Engineering Research Unit, Oulu, Finland, (3)University of Neuchâtel, Centre for Hydrogeology and Geothermics, Neuchâtel, Switzerland, (4)University of Virginia, Engineering Systems and Environment, Charlottesville, United States, (5)AGH University of Science and Technology, Faculty of Physics and Applied Computer Science, Kracow, Poland, (6)Vienna University of Technology, Department of Geodesy and Geoinformation, Vienna, Austria
