Cristina L. Archer, Ph.D.

Affiliations: 
2004 Stanford University, Palo Alto, CA 
Area:
Environmental Engineering, Atmospheric Science Physics, Energy
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"Cristina Archer"
Cross-listing: Physics Tree - Meteorology Tree

Parents

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Mark Z. Jacobson grad student 2004 Stanford
 (The Santa Cruz eddy and United States wind power.)
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Publications

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Golbazi M, Archer CL. (2020) Surface roughness for offshore wind energy Journal of Physics: Conference Series. 1452: 012024
Nouri R, Vasel-Be-Hagh A, Archer CL. (2020) The Coriolis force and the direction of rotation of the blades significantly affect the wake of wind turbines Applied Energy. 277: 115511
Archer CL, Vasel-Be-Hagh A, Yan C, et al. (2020) Corrigendum to “Review and evaluation of wake loss models for wind energy applications” [Appl. Energy 226 (2018) 1187–1207] Applied Energy. 266: 114845
Al Fahel N, Archer CL. (2020) Observed onshore precipitation changes after the installation of offshore wind farms Bulletin of Atmospheric Science and Technology. 1: 179-203
Golbazi M, Archer CL. (2019) Methods to Estimate Surface Roughness Length for Offshore Wind Energy Advances in Meteorology. 2019: 1-15
Archer CL, Wu S, Vasel-Be-Hagh A, et al. (2019) The VERTEX field campaign: observations of near-ground effects of wind turbine wakes Journal of Turbulence. 20: 64-92
Archer CL, Vasel-Be-Hagh A. (2019) Wake steering via yaw control in multi-turbine wind farms: Recommendations based on large-eddy simulation Sustainable Energy Technologies and Assessments. 33: 34-43
Yan C, Pan Y, Archer CL. (2019) A general method to estimate wind farm power using artificial neural networks Wind Energy. 22: 1421-1432
Pan Y, Yan C, Archer CL. (2018) Precipitation reduction during Hurricane Harvey with simulated offshore wind farms Environmental Research Letters. 13: 084007
Archer CL, Vasel-Be-Hagh A, Yan C, et al. (2018) Review and evaluation of wake loss models for wind energy applications Applied Energy. 226: 1187-1207
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