ABSTRACT This paper proposes a new orientation to address the problem of hydrological model calibration in ungauged basin. Satellite radar altimetric observations river water level at basin outlet are used calibrate model, as surrogate streamflow data. To shift objective, is coupled with hydraulic describing relation between and stage. The methodology illustrated by case study Upper Mississippi Basin using TOPEX/Poseidon (T/P) satellite generalized likelihood uncertainty estimation (GLUE)...

Abstract Skilful and reliable precipitation data are essential for seasonal hydrologic forecasting generation of hydrological data. Although output from dynamic downscaling methods is used application, the existence systematic errors in dynamically downscaled adversely affects skill forecasting. This study evaluates derived by global atmospheric reanalysis propagating them through three models. Hydrological models calibrated 28 watersheds located across southeastern United States that...

Lacking observation data for calibration constrains applications of hydrological models to estimate daily time series streamflow. Recent improvements in remote sensing enable detection river water-surface width from satellite observations, making possible the tracking streamflow space. In this study, a method calibrating using derived is demonstrated through application ungauged Irrawaddy Basin Myanmar. Generalized likelihood uncertainty estimation (GLUE) selected as tool automatic and...

Abstract. Assimilating either soil moisture or streamflow individually has been well demonstrated to enhance the simulation performance of hydrological models. However, runoff routing process may introduce a lag between and outlet discharge, presenting challenges in simultaneously assimilating two types observations into model. The asynchronous ensemble Kalman filter (AEnKF), an adaptation (EnKF), is capable utilizing from both assimilation moment preceding periods, thus holding potential...

The effect of the time step calibration data on performance a hydrological model is examined through numerical experiment where HYMOD, rainfall–runoff model, calibrated with varying temporal resolution. A simple scaling relationship between parameters and modelling derived which enables information from daily records to be used in at steps much shorter than daily. Model were found respond differently depending upon degree aggregation data. loss performance, especially terms Nash–Sutcliffe...

Abstract The inability to estimate reliable meteorological data for the hydrological modelling of Lake Chad Basin (LCB) over present decade hinders use and evaluation a wide range information that can be extracted from satellite altimetry, gravitometry, imagery. This is mainly due sparse distribution gauging stations difficulty in assessment. Therefore, two key chronological records rainfall potential evapotranspiration (PET) were constructed flow simulation LCB. Rainfall estimates...

Abstract In accounting for uncertainties in future simulations of hydrological response a catchment, two approaches have come to the fore: deterministic scenario‐based and stochastic probabilistic approaches. As result wide range outcomes, role probabilistic‐based estimates climate change impacts policy formulation has been increasingly advocated by researchers makers. This study evaluates impact on seasonal river flows propagating daily time series, derived from scenarios using weather...

Abstract The authors evaluate the skill of a suite seasonal hydrological prediction experiments over 28 watersheds throughout southeastern United States (SEUS), including Florida, Georgia, Alabama, South Carolina, and North Carolina. climate retrospective forecasts [the Florida Climate Institute–Florida State University Seasonal Hindcasts at 50-km resolution (FISH50)] is initialized in June integrated through November each year from 1982 2001. Each forecast has six ensemble members. An...

Abstract The need for calibration limits the direct application of rainfall‐runoff (RR) models in ungauged basins. In this paper, we present a conceptual framework calibrating RR using river hydraulic variables (river width or water surface elevation) that are observable by remote sensing. By integrating model with at‐a‐station geometry, power functions to describe cross‐sectional relationship at basin outlet, simulated elevation become output integrated model. objective is then shifted...

Abstract This study investigates the sensitivity of performance hydrological models to certain temporal variations precipitation over southeastern United States (SEUS). Because observational uncertainty in estimates rainfall variability at subdaily scales, analysis is conducted with two independent datasets that resolve diurnal variations. In addition, three are used account for model uncertainty. Results show aggregation can translate into a markedly higher volume error flow simulated by...

The approximation of streamflow data in an un-gauged catchment is challenging and generally addressed through parameter regionalization. Though identifying the relationships between attributes model parameters straightforward, uncertainties both functional lead to poor key successful regionalization selecting a parsimonious structure, proper attributes, better calibration strategy, regional structure. HYMOD were calibrated from 59 watersheds across globe using three-year period evolutionary...

Simulations of future climate change impacts are highly uncertain, particularly for catchment hydrology, where output from models complex dynamic systems (global climate) used as inputs to (hydrology models). This is problematic decision-making adaptation underpinned by predictions, and policy-makers have opted delay until either uncertainties reduced, or signals emerge observations. paper, using the Boyne in east Ireland a case study, discusses involved impact assessment hydrology...

The digital elevation model (DEM) is a type of that has been widely used in terrain analysis and hydrological modeling. DEM resolution influences the geomorphologic features delineated catchments consequently affects simulations. This study investigated impacts on performance XAJ-GIUH model, coupling Xinanjiang (XAJ) with instantaneous unit hydrograph (GIUH), flood simulations small medium-sized catchments. To test performance, parameters were calibrated at fine (30 m) then directly...

Abstract. Assimilating either soil moisture or streamflow individually has been well demonstrated to enhance the simulation performance of hydrological models. However, runoff routing process may introduce a lag between and outlet discharge, presenting challenges in simultaneously assimilating two types observations into model. The Asynchronous Ensemble Kalman Filter (AEnKF), an adaptation (EnKF), is capable utilizing from both assimilation moment preceding periods, thus holding potential...

Regionalisation of hydrological model parameters is a simple approach to ungauged basins. However, uncertainties in and catchment attributes hinder the regionalisation. In this context, study proposes methodology for modeling basins by pairing regional with posterior distribution parameters. The performance models are evaluated comparing loss quantifying uncertainty induced on result revealed reduction inconsistency among various improvement while results regionalisation constrained...