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Soil Moisture Simulation using Precipitation Data This is a monthly gridded soil moisture data set (50th percentile) along with 90% confidence Interval (5th and 95th percentile confidence bands), derived through a copula-based simulation model using monthly precipitation data set. The simulation is done by Sarit Kumar Das using MATLAB (version 2014a)in April, 2015. The key features of this gridded soil moisture are given below: Variable Name: SM Timeline: January, 1991 to December, 2010 Time interval: Monthly Grid size: 0.5 deg. latitude by 0.5 deg. longitude Grid initial: 37.5 deg. N. Latitude, 68.0 deg. E. Longitude Grid final: 8.0 deg. N. Latitude, 97.5 deg. E. Longitude Input data source: TS 3.22 data set for precipitation obtained from Climate Research Unit (CRU) and East Anglia, UK Grid type: a value represent a cellIf you are using this data, please cite following publication: Das S. K. and R. Maity (2014), Potential of Probabilistic Hydrometeorological Approach for Precipitation-Based Soil Moisture Estimation, Journal of Hydrologic Engineering, ASCE, 20(4), 04014056, DOI: 10.1061/(ASCE)HE.1943-5584.0001034. Article Link |
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Soil Moisture Simulation using Combined Hydro-Meteorological Index This is a monthly gridded soil moisture data set (50th percentile) along with 90% confidence Interval (5th and 95th percentile confidence bands), derived through a copula-based simulation model using monthly precipitation data set. The simulation is done by Sarit Kumar Das using MATLAB (version 2014a)in April, 2015. The key features of this gridded soil moisture are given below: Variable Name: SM Timeline: January, 2001 to December, 2010 Time interval: Monthly Grid size: 0.5 deg. latitude by 0.5 deg. longitude Grid initial: 37.5 deg. N. Latitude, 68.0 deg. E. Longitude Grid final: 8.0 deg. N. Latitude, 97.5 deg. E. Longitude Input data source: ZedX Weather Data at 0.25 deg. latitude x 0.25 deg. longitude spatial grid and time interval daily for pan evaporation, precipitation, relative humidity, sunshine percentage and temperature Grid type: a value represent a cellIf you are using this data, please cite following publication: Das S. K, and R. Maity (2015), A hydrometeorological approach for probabilistic simulation of monthly soil moisture under bare and crop land conditions, Water Resources Research, American Geophysical Union (AGU), 51,2336-2355, doi:10.1002/2014WR016043. Article Link. |
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