Hydrological predictability investigation of global data sets for high-latitude river basins

摘要

The aim of the work is to investigate the hydrological predictability of global data sets for the northern river basins using the land surface model SWAP, The input data were taken from the global 1-degree data sets provided within the framework of the Second Global Soil Wetness Project. Application of the global data sets (without calibration of model parameters) for the simulation of the Mezen River runoff, a high-latitude basin, has shown poor results. To improve the results, a stochastic optimization technique was developed for model calibration using the streamflow observations for the period 1986-1990 The period 1991-1995 was used for model validation The Nash-Sutcliffe efficiency of daily streamflow simulation was 0.80 and 0.82 for the calibration and validation periods, respectively. Analysis of the results showed that global 1-degree data sets may be applied with appropriate calibration for streamflow simulation and prediction in high latitudes.