Bibliography - S. Baidya Roy

1. Baidya Roy, S., Stephen W. Pacala, and R. L. Walko, 2004: Can large wind farms affect local meteorology? Journal of Geophysical Research, 109(D19101), doi:10.1029/2004JD004763
   [ Abstract ]

   The RAMS model was used to explore the possible impacts of a large wind farm in the Great Plains region on the local meteorology over synoptic timescales under typical summertime conditions. A wind turbine was approximated as a sink of energy and source of turbulence. The wind farm was created by assuming an array of such turbines. Results show that the wind farm significantly slows down the wind at the turbine hub-height level. Additionally, turbulence generated by rotors create eddies that can enhance vertical mixing of momentum, heat, and scalars, usually leading to a warming and drying of the surface air and reduced surface sensible heat flux. This effect is most intense in the early morning hours when the boundary layer is stably stratified and the hub-height level wind speed is the strongest due to the nocturnal low-level jet. The impact on evapotranspiration is small.

2. Baidya Roy, S., G. C. Hurtt, C. P. Weaver, and Stephen W. Pacala, 2003: Impact of historical land cover change on the July climate of the United States. Journal of Geophysical Research, 108(D24), doi:10.1029/2003JD003565
   [ Abstract ]

   We used the Regional Atmospheric Modeling System (RAMS) model to investigate the possible impact of land cover change on the July climate of the coterminous United States over the last 290 years. Vegetation data were estimated using the Ecosystem Demography model. The observed change in land cover leads to a weak warming along the Atlantic coast and a strong cooling of more than 1 K over the Midwest and the Great Plains region. The precipitation signal is weaker and shows some reduction in the Midwest because of changes in the patterns of large-scale moisture advection.

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