Experimental Hydrological Fluxes using Land Surface Model
Description of terrestrial hydrological flux components in terms of their geographical distribution and chronological variation is useful for water resources management, drought/flood assessment and climate related research. Earth Observation (EO) data from multitude platforms are providing wide ranging datasets that are useful for creation of spatially distributed parameters appropriate for hydrological budgeting and modeling.
Macro-scale, process based hydrological (Variable Infiltration Capacity - VIC) model has been adopted for modelling water balance components at uniform grid level. VIC, a semi-distributed & physically based hydrological model, solves both the water balance and the energy balance (Liang X., 1994). Model computes evapotranspiration, surface runoff, soil moisture, base flow and energy fluxes at the predefined grid resolution (few km to hundred km).
Grid Details and Features
9min (~16.5km) Grid level modelling frame work (water balance mode) has been setup for the entire county using Geo-spatial data sets and historic meteorological data. Current season daily meteorological data are used to compute daily hydrological fluxes at 9min grid level.
The orderly description of hydrological fluxes are useful for quantifying spatial and temporal variation in basin/sub-basin scale water resources, periodical water budgeting and form vital inputs for studies on topics ranging from water resources management to land-atmosphere interactions including climate change.
Technical Document
Experimental Hydrological Fluxes using Land Surface Model
Description of terrestrial hydrological flux components in terms of their geographical distribution and chronological variation is useful for water resources management, drought/flood assessment and climate related research. Earth Observation (EO) data from multitude platforms are providing wide ranging datasets that are useful for creation of spatially distributed parameters appropriate for hydrological budgeting and modeling.
Macro-scale, process based hydrological (Variable Infiltration Capacity - VIC) model has been adopted for modelling water balance components at uniform grid level. VIC, a semi-distributed & physically based hydrological model, solves both the water balance and the energy balance (Liang X., 1994). Model computes evapotranspiration, surface runoff, soil moisture, base flow and energy fluxes at the predefined grid resolution (few km to hundred km).
Grid Details and Features
Product description
9min (~16.5km) Grid level modelling frame work (water balance mode) has been setup for the entire county using Geo-spatial data sets and historic meteorological data. Current season daily meteorological data are used to compute daily hydrological fluxes at 9min grid level.
The orderly description of hydrological fluxes are useful for quantifying spatial and temporal variation in basin/sub-basin scale water resources, periodical water budgeting and form vital inputs for studies on topics ranging from water resources management to land-atmosphere interactions including climate change.
Technical Document
The retrospective time series data of the variable (rainfall/ runoff from 1951-tilldate), is fitted with a probability distribution, from which cumulative probability of the variable (cumulative value of the variable on the date of generation, from 1951) is derived. Using cumulative probability Standard normal deviate is estimated from the normal cumulative distribution function (CDF).
The standardized index is derived for different time scales of 1, 3, 6 and 12 months.
SPI/SRI serves as a representation of abnormal wetness and dryness as compared to other drought indices, as it is probability based and takes into account the importance of timescales in the analysis of availability and usage of water resources (Guttman, 1999).
Surface runoff forecast is presented for three successive days ( d+1, d+2, d+3, where d = Current date ) using weather forecast data (Rainfall and Temperature) from the Global Ensemble Forecast System (GEFS/R2). Forecasted Surface Runoff products depict the likely runoff depth at each grid level in mm depth units.
3min (~5.5km) Grid level modelling frame work (water balance mode) has been setup for the entire county using Geo-spatial data sets and historic meteorological data. Current season daily meteorological data are used to compute daily hydrological fluxes at 3min grid level.
The orderly description of hydrological fluxes are useful for quantifying spatial and temporal variation in basin/sub-basin scale water resources, periodical water budgeting and form vital inputs for studies on topics ranging from water resources management to land-atmosphere interactions including climate change.
Technical Document
Daily Products
Interactive Viewer and Trend Analysis
Time Series Animation
3min product
Products can be visualized based on the Date selected
Experimental model computed Runoff, Soil Moisture and Evapotranspiration (Version 1.0) are derived through water balance computations using VIC-3L hydrological model considering geo-spatial data and current season meteorological data. Runoff and Evapotranspiration are represented in mm and Soil Moisture is represented in m3/m3. All the products are averaged at 9 min (~16.5 km) spatial resolution at 24 hr time-step.
Daily Products
All Products can be visualized based on the Date selected
Experimental model computed Runoff, Soil Moisture and Evapotranspiration (Version 1.0) are derived through water balance computations using VIC-3L hydrological model considering geo-spatial data and current season meteorological data. Runoff and Evapotranspiration are represented in mm and Soil Moisture is represented in m3/m3. All the products are averaged at 9 min (~16.5 km) spatial resolution at 24 hr time-step.
Interactive Viewer and Trend Analysis
Interactive viewer allows the user to zoom in and zoom out with options to select the product type, grid size, period and the date. A click on any grid in the interactive viewer shows the temporal trend for any one or all the products available, with option to choose the time period.
Note: The products are experimental model derived outputs and are not validated. The accuracy or reliability of the data is not guaranteed for use, or inability to use the data.
Select Week :
Select Year:
Long Term Mean: The Basin-wise weekly water balance components (for weeks 23 to 44) is averaged over a time period of 60years to estimate the long term mean.A click on any basin will popup the selected week long term mean value and current year value, for the water balance selected.
Product :
Grid Size :
Period :
Date :
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Regenerate Graph
Time Series Animation
Time Series option enables User to select the desired range and animate any product.
CPC Rainfall Based
