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Improving the representation of major Indian crops in the Community Land Model version 5.0 (CLM5) using site-scale crop data
The study aimed to improve the representation of wheat and rice in a land model for the Indian region. The modified model performed significantly better than the default model in simulating crop phenology, yield, and carbon, water, and energy fluxes compared to observations. The study highlights the need for global land models to use region-specific crop parameters for accurately simulating vegetation processes and land surface processes.
K Narender Reddy, Somnath Baidya Roy, Sam Rabin, Danica Lombardozzi, Gudimetla Venkateswara Varma, Ruchira Biswas, Devavat Chiru Naik
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Improving the representation of major Indian crops in the Community Land Model version 5.0 (CLM5) using site-scale crop data
Carbon fluxes in spring wheat agroecosystems in India
K Narender Reddy, Shilpa Gahlot, Somnath Baidya Roy, G Venkateswara Varma, Vinay Kumar Sehgal, Vangala Gayatri
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Layout optimization for offshore wind farms in India using the genetic algorithm technique
Wind Farm Layout Optimization Problem (WFLOP) is a critical issue when installing a large wind farm. In this study, we apply the Genetic Algorithm (GA) to solve the WFLOP for large hypothetical offshore wind farms using real wind data. The study site is the Palk Strait, located between India and Sri Lanka. Optimized layouts produce better results in terms of efficiency and cost.
K Narender Reddy, Somnath Baidya Roy
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Layout optimization for offshore wind farms in India using the genetic algorithm technique