Inter-comparison of lumped hydrological models in data-scarce watersheds using different precipitation forcing data sets: Case study of Northern Ontario, Canada

Darbandsari, Pedram; Coulibaly, Paulin

doi:10.1016/j.ejrh.2020.100730

Cited by 39 publications

(22 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on a multi-model approach composed of four gHMs (DBH, H08, LPJml, and PCR-GLOBWB) and two rHMs (GR4J and HMETS) driven by multiple forcing meteorological datasets over 198 large-sized NA catchments for the 1971-2010 period, this study aims at contributing to the ISIMIP2a topic for operational use purposes by: (1) assessing the gHMs' performance in terms of simulating seasonal flow dynamics; (2) comparing the gHMs' performance with that of the rHMs; and (3) based on ( 1) and ( 2), exploring the influence of the global driving datasets and catchment characteristics on gHM performance. The four gHMs are selected as they contain the varsoc socio-economic scenario for multiple forcing meteorological datasets over NA; the selected rHMs usually display reliable accuracy in data-deficient conditions due to their quite simple and parsimonious structure [36,37]. Overall, this work provides key information for subsequent impact studies, supporting decision-making based on the gHMs for the NA region covered by the global ISIMIP2 domain.…”

Section: Introductionmentioning

confidence: 98%

Catchment Scale Evaluation of Multiple Global Hydrological Models from ISIMIP2a over North America

Troin

Arsenault

Fournier

et al. 2021

Water

View full text Add to dashboard Cite

A satisfactory performance of hydrological models under historical climate conditions is considered a prerequisite step in any hydrological climate change impact study. Despite the significant interest in global hydrological modeling, few systematic evaluations of global hydrological models (gHMs) at the catchment scale have been carried out. This study investigates the performance of 4 gHMs driven by 4 global observation-based meteorological inputs at simulating weekly discharges over 198 large-sized North American catchments for the 1971–2010 period. The 16 discharge simulations serve as the basis for evaluating gHM accuracy at the catchment scale within the second phase of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2a). The simulated discharges by the four gHMs are compared against observed and simulated weekly discharge values by two regional hydrological models (rHMs) driven by a global meteorological dataset for the same period. We discuss the implications of both modeling approaches as well as the influence of catchment characteristics and global meteorological forcing in terms of model performance through statistical criteria and visual hydrograph comparison for catchment-scale hydrological studies. Overall, the gHM discharge statistics exhibit poor agreement with observations at the catchment scale and manifest considerable bias and errors in seasonal flow simulations. We confirm that the gHM approach, as experimentally implemented through the ISIMIP2a, must be used with caution for regional studies. We find the rHM approach to be more trustworthy and recommend using it for hydrological studies, especially if findings are intended to support operational decision-making.

show abstract

Section: Introductionmentioning

confidence: 98%

Catchment Scale Evaluation of Multiple Global Hydrological Models from ISIMIP2a over North America

Troin

Arsenault

Fournier

et al. 2021

Water

View full text Add to dashboard Cite

show abstract

“…HEC-HMS model is a flexible hydrological model with particular physical significance designed to simulate a comprehensive range of hydrological processes coupled with a very sophisticated graphical user interface [18]. Modified melting rates have been used by many studies, using the hypothetical ATIMR (antecedent temperature index-melt rate) function used in the snowmelt module of HEC-HMS during calibration [19][20][21][22]; however, a commonly observed shortcoming in published literature is that no particular data is used to directly estimate the ATIMR curve. Therefore, its estimation and application to a mountainous basin with flow sources of complex composition is noteworthy here [23].…”

Section: Introductionmentioning

confidence: 99%

Predicting Snowmelt Runoff at the Source of the Mountainous Euphrates River Basin in Turkey for Water Supply and Flood Control Issues Using HEC-HMS Modeling

Şengül

İspirli

2022

Water

View full text Add to dashboard Cite

Predicting the runoff from snowpack accumulated in mountainous basins during the melting periods is very important in terms of assessing issues such as water supply and flood control. In this study, the Hydrological Engineering Center–Hydrological Modeling System (HEC-HMS) was used to simulate snowmelt runoff in the Kırkgöze–Çipak Basin that has a complex topography where altitude differences range from 1823 m to 3140 m above the sea level. The Kırkgöze–Çipak Basin, located in eastern Turkey, is a basin where snowfall is highly effective during the cold season. There are three automatic meteorology and snow observation stations and three stream gauge stations in the basin, which are operated especially for the calibration and validation of hydrological parameters at different altitudes and exposures. In this study, the parameters affecting snow accumulation–melting and runoff were investigated using the simulations on an hourly basis carried out over a three-year period for temporal and spatial distribution at the basin scale. Different from previous studies focusing on the rate of snowmelt, the temperature index method, which is calculated with physically-based parameters (R2 = 0.77~0.99), was integrated into the runoff simulations (R2 = 0.84) in the basin. The snowmelt-dominated basin is considered to be the source of the headwaters of the Euphrates River.

show abstract

“…The hydrological model can be categorized as a lumped model, semi-distributed model, and fully distributed model. The various hydrological models have been designed with different hydrological processes represented by mathematical equations [20,5,18,8]. Hydrological models were developed at least 50 years ago to study hydrological behavior or to manage them [30,23,4,24,7,6].…”

Section: Introductionmentioning

confidence: 99%

Rainfall-Runoff Simulation for Water Availability Estimation in Small Island Using Distributed Hydrological Model wflow

Seizarwati¹,

Syahidah²

2021

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Hydrological data in Indonesia, especially in the small islands, is minimal, including spatial distribution and temporal completeness. It will affect the accuracy of water availability estimation for water resources management interest. One of the solutions that can be undertaken is applying rainfall-runoff modeling to obtain the discharge value at a specific location. This study aims to determine surface water availability in each sub-catchment of the small island by implementing the hydrological model. The wflow model is applying to perform the model. This model uses input data including Digital Elevation Model (DEM), landuse, soil, Leaf Area Index (LAI), rainfall, evapotranspiration, and observation of river discharge for the calibration process. As a result, this island consists of 30 catchments with some potential catchments, namely Cao, Sakita, and Tatamo, that have a 90% dependable flow of 4213.3 L/s, 3803.6 L/s 8117 L/s, respectively. The result of water availability in Morotai Island is highly expected to be the reference for water resources management, especially for tourism and urban development.

show abstract

Inter-comparison of lumped hydrological models in data-scarce watersheds using different precipitation forcing data sets: Case study of Northern Ontario, Canada

Cited by 39 publications

References 75 publications

Catchment Scale Evaluation of Multiple Global Hydrological Models from ISIMIP2a over North America

Catchment Scale Evaluation of Multiple Global Hydrological Models from ISIMIP2a over North America

Predicting Snowmelt Runoff at the Source of the Mountainous Euphrates River Basin in Turkey for Water Supply and Flood Control Issues Using HEC-HMS Modeling

Rainfall-Runoff Simulation for Water Availability Estimation in Small Island Using Distributed Hydrological Model wflow

Contact Info

Product

Resources

About