Precipitation is a significant input variable required in hydrological models such as the Soil & Water Assessment Tool (SWAT). The utilization of inaccurate precipitation data can result poor representation true hydrologic conditions catchment. SWAT utilizes conventional nearest neighbor method assigning weather parameters for each subbasin; representing spatial variations over large area, ...

An attempt was made to compensate for the lack of long hydrological time series and the lack of information on maximum streamflow in the Alzette River basin (Luxembourg) via the regionalization of stormflow coefficients. Streamflow data recorded since 1995 with a very dense streamgauge network allowed the determination of maximum stormflow coefficients in 18 sub-basins of the Alzette. The storm...

Abstract The limited time series data for daily discharge to support the development and management of water resources in a catchment is classic challenge hydrology. Various methods, both empirically conceptually based, have been developed overcome this problem. This paper presents modeling relation scarcity Sausu Catchment, Central Sulawesi, Indonesia. simulation has assigned HEC-HMS Model wit...

Streamflow forecasting in mountainous catchments is and will continue to be one of the important hydrological tasks. In recent years machine learning models are increasingly used for such forecasts. A direct comparison use three gradient boosting (XGBoost, LightGBM CatBoost) forecast daily streamflow catchment our main contribution. As predictors we precipitation, runoff at upstream gauge stati...

Understanding the predictability of a streamflow process is important for making decision for flood control and water management. However not much attention has been paid to the predictability study of streamflow processes so far. Predictability may be broken down into two categories: (1) model predictability and (2) potential predictability. The widely used model performance measure, coefficie...