Sukanta Basu
Affiliations: | 2004 | Civil Engineering | University of Minnesota, Twin Cities, Minneapolis, MN |
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"Sukanta Basu"Mean distance: 21.12 | S | N | B | C | P |
Parents
Sign in to add mentor| Fernando Porte-Agel | grad student | 2004 | UMN | |
| (Large -eddy simulation of stably stratified atmospheric boundary layer turbulence: A scale-dependent dynamic modeling approach.) | ||||
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Publications
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| Cheneka BR, Watson SJ, Basu S. (2020) A simple methodology to detect and quantify wind power ramps Wind Energy Science. 5: 1731-1741 |
| Rodrigo JS, Guillén FB, Fernandes Correia PM, et al. (2020) Validation of Meso-Wake Models for Array Efficiency Prediction Using Operational Data from Five Offshore Wind Farms Journal of Physics: Conference Series. 1618: 062044 |
| Basu S, DeMarco AW, He P. (2020) On the dissipation rate of temperature fluctuations in stably stratified flows Environmental Fluid Mechanics |
| Basu S, He P, DeMarco AW. (2020) Parametrizing the Energy Dissipation Rate in Stably Stratified Flows Boundary-Layer Meteorology. 1-18 |
| Dai Y, Basu S, Maronga B, et al. (2020) Addressing the Grid-Size Sensitivity Issue in Large-Eddy Simulations of Stable Boundary Layers Boundary-Layer Meteorology. 1-27 |
| Couvreux F, Bazile E, Rodier Q, et al. (2020) Intercomparison of Large-Eddy Simulations of the Antarctic Boundary Layer for Very Stable Stratification Boundary-Layer Meteorology. 176: 369-400 |
| Li B, Basu S, Watson SJ, et al. (2020) Mesoscale modeling of a “Dunkelflaute” event Wind Energy. 1-19 |
| Durán P, Basu S, Meißner C, et al. (2020) Automated classification of simulated wind field patterns from multiphysics ensemble forecasts Wind Energy. 23: 898-914 |
| Basu S. (2019) Hybrid Profile-Gradient Approaches for the Estimation of Surface Fluxes. Boundary-Layer Meteorology. 170: 29-44 |
| Lu N, Hawbecker P, Basu S, et al. (2019) On wind turbine loads during thunderstorm downbursts in contrasting atmospheric stability regimes Energies. 12: 2773 |