Year |
Citation |
Score |
2020 |
Golbazi M, Archer CL. Surface roughness for offshore wind energy Journal of Physics: Conference Series. 1452: 012024. DOI: 10.1088/1742-6596/1452/1/012024 |
0.546 |
|
2020 |
Nouri R, Vasel-Be-Hagh A, Archer CL. The Coriolis force and the direction of rotation of the blades significantly affect the wake of wind turbines Applied Energy. 277: 115511. DOI: 10.1016/J.Apenergy.2020.115511 |
0.703 |
|
2020 |
Archer CL, Vasel-Be-Hagh A, Yan C, Wu S, Pan Y, Brodie JF, Maguire AE. Corrigendum to “Review and evaluation of wake loss models for wind energy applications” [Appl. Energy 226 (2018) 1187–1207] Applied Energy. 266: 114845. DOI: 10.1016/J.Apenergy.2020.114845 |
0.556 |
|
2020 |
Al Fahel N, Archer CL. Observed onshore precipitation changes after the installation of offshore wind farms Bulletin of Atmospheric Science and Technology. 1: 179-203. DOI: 10.1007/s42865-020-00012-7 |
0.635 |
|
2019 |
Golbazi M, Archer CL. Methods to Estimate Surface Roughness Length for Offshore Wind Energy Advances in Meteorology. 2019: 1-15. DOI: 10.1155/2019/5695481 |
0.696 |
|
2019 |
Archer CL, Wu S, Vasel-Be-Hagh A, Brodie JF, Delgado R, St. Pé A, Oncley S, Semmer S. The VERTEX field campaign: observations of near-ground effects of wind turbine wakes Journal of Turbulence. 20: 64-92. DOI: 10.1080/14685248.2019.1572161 |
0.712 |
|
2019 |
Archer CL, Vasel-Be-Hagh A. Wake steering via yaw control in multi-turbine wind farms: Recommendations based on large-eddy simulation Sustainable Energy Technologies and Assessments. 33: 34-43. DOI: 10.1016/J.Seta.2019.03.002 |
0.685 |
|
2019 |
Yan C, Pan Y, Archer CL. A general method to estimate wind farm power using artificial neural networks Wind Energy. 22: 1421-1432. DOI: 10.1002/We.2379 |
0.561 |
|
2018 |
Pan Y, Yan C, Archer CL. Precipitation reduction during Hurricane Harvey with simulated offshore wind farms Environmental Research Letters. 13: 084007. DOI: 10.1088/1748-9326/Aad245 |
0.745 |
|
2018 |
Archer CL, Vasel-Be-Hagh A, Yan C, Wu S, Pan Y, Brodie JF, Maguire AE. Review and evaluation of wake loss models for wind energy applications Applied Energy. 226: 1187-1207. DOI: 10.1016/J.Apenergy.2018.05.085 |
0.709 |
|
2018 |
Yan C, Archer CL. Assessing compressibility effects on the performance of large horizontal-axis wind turbines Applied Energy. 212: 33-45. DOI: 10.1016/J.Apenergy.2017.12.020 |
0.716 |
|
2018 |
Pan Y, Archer CL. A Hybrid Wind-Farm Parametrization for Mesoscale and Climate Models Boundary-Layer Meteorology. 168: 469-495. DOI: 10.1007/S10546-018-0351-9 |
0.733 |
|
2017 |
Vasel-Be-Hagh A, Archer CL. Wind farms with counter-rotating wind turbines Sustainable Energy Technologies and Assessments. 24: 19-30. DOI: 10.1016/J.Seta.2016.10.004 |
0.724 |
|
2017 |
Simão H, Powell W, Archer C, Kempton W. The challenge of integrating offshore wind power in the U.S. electric grid. Part II: Simulation of electricity market operations Renewable Energy. 103: 418-431. DOI: 10.1016/J.Renene.2016.11.049 |
0.614 |
|
2017 |
Archer C, Simão H, Kempton W, Powell W, Dvorak M. The challenge of integrating offshore wind power in the U.S. electric grid. Part I: Wind forecast error Renewable Energy. 103: 346-360. DOI: 10.1016/J.Renene.2016.11.047 |
0.687 |
|
2017 |
Santos-Alamillos FJ, Archer CL, Noel L, Budischak C, Facciolo W. Assessing the economic feasibility of the gradual decarbonization of a large electric power system Journal of Cleaner Production. 147: 130-141. DOI: 10.1016/J.Jclepro.2017.01.097 |
0.565 |
|
2017 |
Vasel-Be-Hagh A, Archer CL. Wind farm hub height optimization Applied Energy. 195: 905-921. DOI: 10.1016/J.Apenergy.2017.03.089 |
0.721 |
|
2017 |
Noel L, Brodie JF, Kempton W, Archer CL, Budischak C. Cost minimization of generation, storage, and new loads, comparing costs with and without externalities Applied Energy. 189: 110-121. DOI: 10.1016/J.Apenergy.2016.12.060 |
0.403 |
|
2017 |
Xie S, Archer CL. A Numerical Study of Wind-Turbine Wakes for Three Atmospheric Stability Conditions Boundary-Layer Meteorology. 165: 87-112. DOI: 10.1007/S10546-017-0259-9 |
0.707 |
|
2017 |
Ghaisas NS, Archer CL, Xie S, Wu S, Maguire E. Evaluation of layout and atmospheric stability effects in wind farms using large-eddy simulation Wind Energy. 20: 1227-1240. DOI: 10.1002/We.2091 |
0.633 |
|
2016 |
Ghaisas NS, Archer CL. Geometry-based models for studying the effects of wind farm layout Journal of Atmospheric and Oceanic Technology. 33: 481-501. DOI: 10.1175/Jtech-D-14-00199.1 |
0.721 |
|
2016 |
Colle BA, Sienkiewicz MJ, Archer C, Veron D, Veron F, Kempton W, Mak JE. Improving the Mapping and Prediction of Offshore Wind Resources (IMPOWR): Experimental Overview and First Results Bulletin of the American Meteorological Society. 97: 1377-1390. DOI: 10.1175/Bams-D-14-00253.1 |
0.68 |
|
2016 |
Xie S, Archer CL, Ghaisas N, Meneveau C. Benefits of collocating vertical-axis and horizontal-axis wind turbines in large wind farms Wind Energy. DOI: 10.1002/We.1990 |
0.734 |
|
2016 |
Archer CL, Colle BA, Veron DL, Veron F, Sienkiewicz MJ. On the predominance of unstable atmospheric conditions in the marine boundary layer offshore of the U.S. northeastern coast Journal of Geophysical Research: Atmospheres. DOI: 10.1002/2016Jd024896 |
0.728 |
|
2015 |
Firestone J, Archer CL, Gardner MP, Madsen JA, Prasad AK, Veron DE. Opinion: The time has come for offshore wind power in the United States. Proceedings of the National Academy of Sciences of the United States of America. 112: 11985-8. PMID 26417102 DOI: 10.1073/Pnas.1515376112 |
0.66 |
|
2015 |
Dvorak MJ, Stoutenburg ED, Archer CL, Kempton W, Jacobson MZ. Where is the ideal location for a US East Coast offshore grid? Geophysical Research Letters. 39. DOI: 10.1029/2011Gl050659 |
0.763 |
|
2015 |
Xie S, Archer C. Self-similarity and turbulence characteristics of wind turbine wakes via large-eddy simulation Wind Energy. 18: 1815-1838. DOI: 10.1002/We.1792 |
0.673 |
|
2014 |
Archer CL, Colle BA, Delle Monache L, Dvorak MJ, Lundquist J, Bailey BH, Beaucage P, Churchfield MJ, Fitch AC, Kosovic B, Lee S, Moriarty PJ, Simao H, Stevens RJAM, Veron D, et al. Meteorology for coastal/offshore wind energy in the United States: Recommendations and research needs for the next 10 years Bulletin of the American Meteorological Society. 95: 515-519. DOI: 10.1175/Bams-D-13-00108.1 |
0.599 |
|
2014 |
Jacobson MZ, Archer CL, Kempton W. Taming hurricanes with arrays of offshore wind turbines Nature Climate Change. 4: 195-200. DOI: 10.1038/Nclimate2120 |
0.768 |
|
2014 |
Archer CL, Delle Monache L, Rife DL. Airborne wind energy: Optimal locations and variability Renewable Energy. 64: 180-186. DOI: 10.1016/J.Renene.2013.10.044 |
0.763 |
|
2013 |
Archer CL, Jacobson MZ. Geographical and seasonal variability of the global "practical" wind resources Applied Geography. 45: 119-130. DOI: 10.1016/J.Apgeog.2013.07.006 |
0.793 |
|
2013 |
Archer CL. An introduction to meteorology for airborne wind energy Green Energy and Technology. 81-94. DOI: 10.1007/978-3-642-39965-7_5 |
0.592 |
|
2013 |
Archer CL, Mirzaeisefat S, Lee S. Quantifying the sensitivity of wind farm performance to array layout options using large-eddy simulation Geophysical Research Letters. 40: 4963-4970. DOI: 10.1002/Grl.50911 |
0.656 |
|
2012 |
Jacobson MZ, Archer CL. Saturation wind power potential and its implications for wind energy. Proceedings of the National Academy of Sciences of the United States of America. 109: 15679-84. PMID 23019353 DOI: 10.1073/Pnas.1208993109 |
0.783 |
|
2012 |
Mason JE, Archer CL. Baseload electricity from wind via compressed air energy storage (CAES) Renewable and Sustainable Energy Reviews. 16: 1099-1109. DOI: 10.1016/J.Rser.2011.11.009 |
0.645 |
|
2010 |
Dvorak MJ, Archer CL, Jacobson MZ. California offshore wind energy potential Renewable Energy. 35: 1244-1254. DOI: 10.1016/J.Renene.2009.11.022 |
0.777 |
|
2009 |
Archer CL, Caldeira K. Global assessment of high-altitude wind power Energies. 2: 307-319. DOI: 10.3390/En20200307 |
0.738 |
|
2008 |
Null J, Archer C. Wind Power: The Ultimate Renewable Energy Source Weatherwise. 61: 34-41. DOI: 10.3200/Wewi.613.4.34-41 |
0.647 |
|
2008 |
Jiang Q, Doyle JD, Haack T, Dvorak MJ, Archer CL, Jacobson MZ. Exploring wind energy potential off the California coast Geophysical Research Letters. 35. DOI: 10.1029/2008Gl034674 |
0.768 |
|
2008 |
Archer CL, Caldeira K. Historical trends in the jet streams Geophysical Research Letters. 35. DOI: 10.1029/2008Gl033614 |
0.398 |
|
2007 |
Archer CL, Jacobson MZ. Supplying baseload power and reducing transmission requirements by interconnecting wind farms Journal of Applied Meteorology and Climatology. 46: 1701-1717. DOI: 10.1175/2007Jamc1538.1 |
0.8 |
|
2007 |
Kempton W, Archer CL, Dhanju A, Garvine RW, Jacobson MZ. Large CO2 reductions via offshore wind power matched to inherent storage in energy end-uses Geophysical Research Letters. 34. DOI: 10.1029/2006Gl028016 |
0.757 |
|
2006 |
Archer C, Jacobson MZ. Comment on "Evaluation of a wind power parameterization using tower observations" by Steven M. Lazarus and Jennifer Bewley Journal of Geophysical Research Atmospheres. 111. DOI: 10.1029/2005Jd006098 |
0.774 |
|
2005 |
Archer CL, Jacobson MZ. The Santa Cruz eddy. Part II: Mechanisms of formation Monthly Weather Review. 133: 2387-2405. DOI: 10.1175/Mwr2979.1 |
0.618 |
|
2005 |
Archer CL, Jacobson MZ, Ludwig FL. The Santa Cruz Eddy. Part I: Observations and statistics Monthly Weather Review. 133: 767-782. DOI: 10.1175/Mwr2885.1 |
0.633 |
|
2005 |
Archer CL, Jacobson MZ. Evaluation of global wind power Journal of Geophysical Research D: Atmospheres. 110: 1-20. DOI: 10.1029/2004Jd005462 |
0.751 |
|
2004 |
Archer CL. Correction to “Spatial and temporal distributions of U.S. winds and wind power at 80 m derived from measurements” Journal of Geophysical Research. 109. DOI: 10.1029/2004Jd005099 |
0.605 |
|
2003 |
Archer CL, Jacobson MZ. Spatial and temporal distributions of U.S. winds and wind power at 80 m derived from measurements Journal of Geophysical Research D: Atmospheres. 108. DOI: 10.1029/2002Jd002076 |
0.791 |
|
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