Zhu G.F.*, Li X., Su Y.H., Zhang K., Bai Y., Ma J.Z., Li C.B., Hu X. L., He J.H. Simultaneous parameterization of the two-source evapotranspiration model by Bayesian approach: application to spring maize in an arid region of northwest China. Geoscientific Model Development, 7, 741-775, 2014
SWAT-HDAS is based on grid-based SWAT hydrological model, integrated Parallel Data Assimilation Framework(PDAF), applied for hydrological data assimilation studies.
Its data assimilation algorithms include Kalman filters. SWAT-HDAS can assimilate remote sensed or ground based soil moisture, river discharge, snow water equivalent, etc.
SWAT-HDAS was tested by GNU gfortran compiler. It will include Particle filter and Genetic Algorithm. Weather Research & Forecasting (WRF) climate model will also be integrated to achieve land-atomosphere coupling.
Installation: no installation required;
QR code :