scholarly journals Coupling snow accumulation and melt rate modules of monthly water balance models with the Jazim monthly water balance model

2017 ◽  
Vol 62 (14) ◽  
pp. 2348-2368 ◽  
Author(s):  
Nadereh Tayefeh Neskili ◽  
Banafsheh Zahraie ◽  
Bahram Saghafian
Keyword(s):  
Water Balance ◽  
Snow Accumulation ◽  
Water Balance Model ◽  
Balance Model ◽  
Water Balance Models ◽  
Monthly Water Balance

The Effect of Climate Change on River Flow and Snow Cover in the NOPEX Area Simulated by a Simple Water Balance Model

1997 ◽  
Vol 28 (4-5) ◽  
pp. 273-282 ◽  
Author(s):  
C-Y Xu ◽  
Sven Halldin
Keyword(s):  
Climate Change ◽  
Water Balance ◽  
Snow Cover ◽  
Annual Runoff ◽  
Snow Accumulation ◽  
Water Balance Model ◽  
Annual Precipitation ◽  
Balance Model ◽  
Climate Change Scenarios ◽  
Average Annual Runoff

Within the next few decades, changes in global temperature and precipitation patterns may appear, especially at high latitudes. A simple monthly water-balance model of the NOPEX basins was developed and used for the purposes of investigating the effects on water availability of changes in climate. Eleven case study catchments were used together with a number of climate change scenarios. The effects of climate change on average annual runoff depended on the ratio of average annual runoff to average annual precipitation, with the greatest sensitivity in the catchments with lowest runoff coefficients. A 20% increase in annual precipitation resulted in an increase in annual runoff ranging from 31% to 51%. The greatest changes in monthly runoff were in winter (from December to March) whereas the smallest changes were found in summer. The time of the highest spring flow changed from April to March. An increase in temperature by 4°C greatly shortened the time of snow cover and the snow accumulation period. The maximum amount of snow during these short winters diminished by 50% for the NOPEX area even with an assumed increase of total precipitation by 20%.

A two-parameter monthly water balance model for French watersheds

1994 ◽  
Vol 162 (3-4) ◽  
pp. 299-318 ◽  
Author(s):  
Zoubir Makhlouf ◽  
Claude Michel
Keyword(s):  
Water Balance ◽  
Water Balance Model ◽  
Balance Model ◽  
Monthly Water Balance ◽  
Two Parameter

scholarly journals Allowing the Actual Evapotranspiration Uncertainty in Hydrological Models: Coupling of Interval-Based Water Balance and METRIC Models

2022 ◽  
Author(s):  
Maryam Khodadadi ◽  
Tarokh Maleki Roozbahani ◽  
Mercedeh Taheri ◽  
Fatemeh Ganji ◽  
Mohsen Nasseri
Keyword(s):  
Water Balance ◽  
Hydrological Modeling ◽  
Water Balance Model ◽  
Actual Evapotranspiration ◽  
Balance Model ◽  
Classical Type ◽  
Groundwater Levels ◽  
The North ◽  
North Of Iran ◽  
Monthly Water Balance

Abstract Against the paramount role of actual evapotranspiration (ET) in hydrological modeling, determining its values is mixed with different sources of uncertainties. In addition, estimation of ET with energy-based methods (e.g., METRIC) leads to different results with various acceptable initial and boundary conditions (such as land use and cold/hot pixels). The aim of the current research is to allow the uncertainty effects of ET as an interval-based input variable in hydrological modeling. The goal is achieved via feeding the uncertainty of computed ET values to the developed Interval-Based Water Balance (IBWB) model in terms of gray values. To this purpose, the comprehensive monthly water balance model (including surface and groundwater modules) has been revised to a new interval-based form. Moreover, the METRIC model has been used 20 times in each month of computational period to calculate the ET patterns with different hot/cold pixels to provide monthly ensemble ET values. For a comprehensive assessment, the selected water balance model has been calibrated with ensemble means of the computed ET with its classical type. The study area is a mountainous sub-basin of the Sefidrood watershed, Ghorveh-Dehgolan basin, with three alluvial aquifers in the North of Iran. Not only the paradigm shift from determinist to interval-based hydrologic structure improved the statistical metrics of the models’ responses, but also it decreased the uncertainty of the simulated streamflow and groundwater levels.

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