scholarly journals Monte Carlo sensitivity analysis of land surface parameters using the Variable Infiltration Capacity model

2007 ◽  
Vol 112 (D11) ◽  
Author(s):  
Eleonora M. Demaria ◽  
Bart Nijssen ◽  
Thorsten Wagener
Keyword(s):  
Sensitivity Analysis ◽  
Monte Carlo ◽  
Land Surface ◽  
Variable Infiltration Capacity ◽  
Infiltration Capacity ◽  
Surface Parameters ◽  
Variable Infiltration Capacity Model ◽  
Capacity Model ◽  
Land Surface Parameters

scholarly journals Application of Variable Infiltration Capacity Model (Vic) for Calculatingdrought Iindicators for Binh Thuan Province

2018 ◽  
Vol 34 (1S) ◽  
Author(s):  
Nguyen Quang Hung ◽  
Le Duc Khanh
Keyword(s):  
Water Exchange ◽  
Water Resources Planning ◽  
Variable Infiltration Capacity ◽  
Drought Forecasting ◽  
Infiltration Capacity ◽  
Vic Model ◽  
Variable Infiltration Capacity Model ◽  
Capacity Model ◽  
Exchange Processes ◽  
Resources Planning

Abstract: Drought is a complex natural hazard;so far, there have been some different ways to assess the level of drought in different aspects. In this study, the Variable Infiltration Capacity Model (VIC) was used to calculate the relative humidity changes of soil in Binh Thuan province based on surface water exchange processes. The simulation results of the VIC model are then used to calculate drought indicators to assess the drought situation in Binh Thuan province. The results of the study show that drought occurrences of the study basin are high, complicated, clearly showing the effect of rainfall, temperature and vegetation cover to water exchange, soil moisture. The results of the study serve as a basis for the development of drought forecasting tools for agricultural production planning and water resources planning and planning.   Keyword: Drought, VIC model, relative soil humidity, Bình Thuận

scholarly journals Development of a Distributed Hydrologic Model for a Region with Fragipan Soils to Study Impacts of Climate on Soil Moisture: A Case Study on the Obion River Watershed in West Tennessee

Geosciences ◽  
2018 ◽  
Vol 8 (10) ◽  
pp. 364
Author(s):  
Seyed Ghaneeizad ◽  
Athanasios Papanicolaou ◽  
Benjamin Abban ◽  
Christopher Wilson ◽  
Christos Giannopoulos ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Land Surface ◽  
Model Performance ◽  
Hydrologic Model ◽  
Infiltration Capacity ◽  
River Watershed ◽  
Saturation Zone ◽  
Variable Infiltration Capacity Model ◽  
Capacity Model ◽  
Physically Based

Previous land surface modeling efforts to predict and understand water budgets in the U.S. Southeast for soil water management have struggled to characterize parts of the region due to an extensive presence of fragipan soils for which current calibration approaches are not adept at handling. This study presents a physically based approach for calibrating fragipan-dominated regions based on the “effective” soil moisture capacity concept, which accounts for the dynamic perched saturation zone effects created by the low hydraulic capacities of the fragipan layers. The approach is applied to the Variable Infiltration Capacity model to develop a hydrologic model of the Obion River Watershed (ORW), TN, which has extensive fragipan coverage. Model calibration was performed using observed streamflow data, as well as evapotranspiration and soil moisture data, to ensure correct partitioning of surface and subsurface fluxes. Estimated Nash-Sutcliffe coefficients for the various sub-drainage areas within ORW were all greater than 0.65, indicating good model performance. The model results suggest that ORW has a high responsivity and high resilience. Despite forecasted temperature increases, the simulation results suggest that water budget trends in the ORW are unlikely to change significantly in the near future up to 2050 due to sufficient precipitation amounts.

Modelling the dynamics of evapotranspiration using Variable Infiltration Capacity model and regionally calibrated Hargreaves approach

2018 ◽  
Vol 36 (4-5) ◽  
pp. 289-300 ◽  
Author(s):  
Ankur Srivastava ◽  
Bhabagrahi Sahoo ◽  
Narendra Singh Raghuwanshi ◽  
Chandranath Chatterjee
Keyword(s):  
Variable Infiltration Capacity ◽  
Infiltration Capacity ◽  
Variable Infiltration Capacity Model ◽  
Capacity Model

scholarly journals Modeling Evapotranspiration over China’s Landmass from 1979 to 2012 Using Multiple Land Surface Models: Evaluations and Analyses

2017 ◽  
Vol 18 (4) ◽  
pp. 1185-1203 ◽  
Author(s):  
Shaobo Sun ◽  
Baozhang Chen ◽  
Quanqin Shao ◽  
Jing Chen ◽  
Jiyuan Liu ◽  
...  
Keyword(s):  
Land Surface ◽  
Regional Scale ◽  
Temporal Variations ◽  
The Tibetan Plateau ◽  
Land Surface Models ◽  
Infiltration Capacity ◽  
Community Land Model ◽  
Variable Infiltration Capacity Model ◽  
Capacity Model ◽  
Surface Models

Abstract Land surface models (LSMs) are useful tools to estimate land evapotranspiration at a grid scale and for long-term applications. Here, the Community Land Model, version 4.0 (CLM4.0); Dynamic Land Model (DLM); and Variable Infiltration Capacity model (VIC) were driven with observation-based forcing datasets, and a multiple-LSM ensemble-averaged evapotranspiration (ET) product (LSMs-ET) was developed and its spatial–temporal variations were analyzed for the China landmass over the period 1979–2012. Evaluations against measurements from nine flux towers at site scale and surface water budget–based ET at regional scale showed that the LSMs-ET had good performance in most areas of China’s landmass. The intercomparisons between the ET estimates and the independent ET products from remote sensing and upscaling methods suggested that there were fairly consistent patterns between each dataset. The LSMs-ET produced a mean annual ET of 351.24 ± 10.7 mm yr−1 over 1979–2012, and its spatial–temporal variation analyses showed that (i) there was an overall significant ET increasing trend, with a value of 0.72 mm yr−1 (p < 0.01), and (ii) 36.01% of Chinese land had significant increasing trends, ranging from 1 to 9 mm yr−1, while only 6.41% of the area showed significant decreasing trends, ranging from −6.28 to −0.08 mm yr−1. Analyses of ET variations in each climate region clearly showed that the Tibetan Plateau areas were the main contributors to the overall increasing ET trends of China.

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