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Simulating impacts of real-world wind farms on land surface temperature using the WRF model: physical mechanisms

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Abstract

A recent study shows that the current wind turbine parameterization in the weather research and forecasting (WRF) model can generally reproduce the satellite observed nighttime warming signal over wind farm (WF) regions over west central Texas, but also tends to produce a cooling effect in the WF downwind regions. The present study conducts a series of WRF simulations to further this research by addressing two fundamental questions: (i) what is the 3-D structure of simulated near-surface temperatures within and around WFs? (ii) what are the main physical mechanisms responsible for the simulated WF-induced temperature changes? Our results indicate that the WF-induced temperature changes are not only restricted to the surface but also can extend vertically to the hub-height level and horizontally in the downwind direction. The WF-induced change in sensible heat flux is the dominant factor for the simulated temperature changes at the surface, for both the warming signals over the WF region and the cooling signals behind it. Further diagnosis shows that the turbulent component of the wind turbine parameterization is responsible for the surface warming signal by enhancing vertical mixing while the momentum sink component is responsible for the surface cooling signal by enhancing near-surface thermal stratification. By analyzing the energy budget, we find two important physical processes that are critical to explain the simulated WF impacts on temperature: (i) vertical divergence of heat flux as parameterized in the planetary boundary layer scheme and (ii) resolved-scale 3-D temperature advection.

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References

  • Adams AS, Keith DW (2013) Are global wind power resources estimates overstated? Environ Res Lett. https://doi.org/10.1088/1748-9326/8/1/015021

    Google Scholar 

  • Armstrong A, Waldron S, Whitaker J, Ostle NJ (2014) Wind farm and solar park effects on plant–soil carbon cycling: uncertain impacts of changes in ground-level microclimate. Glob Change Biol. https://doi.org/10.1111/gcb.12437

    Google Scholar 

  • Armstrong A, Burton RR, Lee SE, Mobbs S, Ostle N, Smith V, Whitaker J (2016) Ground-level climate at a peatland wind farm in Scotland is affected by wind turbine operation. Environ Res Lett 11:044024

    Article  Google Scholar 

  • Baidya RS, Traiteur JJ (2010) Impacts of wind farms on surface air temperatures. Proc Nat Acad Sci. https://doi.org/10.1073/pnas.1000493107

    Google Scholar 

  • Cervarich M, Baidya RS, Zhou L (2013) Spatiotemporal structure of wind farm-atmospheric boundary layer interactions. Energy Procedia 40:530–536

    Article  Google Scholar 

  • Chang R, Zhu R, Guo P (2016) A case study of land-surface-temperature impact from large-scale deployment of wind farms in China from Guazhou. Remote Sens. https://doi.org/10.3390/rs8100790

    Google Scholar 

  • Fitch AC, Olson J, Lundquist J, Dudhia J, Gupta A, Michalakes J, Barstad I (2012) Local and mesoscale impacts of wind farms as parameterized in a mesoscale NWP model. Mon Weather Rev 204:3017–3038

    Article  Google Scholar 

  • Fitch AC, Lundquist JK, Olson JB (2013) Mesoscale influences of wind farms throughout a diurnal cycle. Mon Weather Rev 141(7):2173–2198

    Article  Google Scholar 

  • Harris RA, Zhou L, Xia G (2014) Satellite observations of wind farm impacts on nocturnal land surface temperature in Iowa. Remote Sens 6(12):12234–12246

    Article  Google Scholar 

  • Jacobson MZ, Archer CL (2012) Saturation wind power potential and its implications for wind energy. Proc Nat Acad Sci 109(39):15679–15684

    Article  Google Scholar 

  • Jimenez PA, Navarro J, Palomares AM, Dudhia J (2015) Mesoscale modeling of offshore wind turbine wakes at the wind farm resolving scale: a composite-based analysis with the Weather Research and Forecasting model over Horns Rev. Wind Energy 18(3):559–566

    Article  Google Scholar 

  • Lee JCY, Lundquist JK (2017) Observing and simulating wind-turbine wakes during the evening transition. Bound Layer Meteorol 163(3):449–474

    Article  Google Scholar 

  • Nakanishi M, Niino H (2009) Development of an improved turbulence closure model for the atmospheric boundary layer. J Meteorol Soc Jpn 87:895–912

    Article  Google Scholar 

  • Rajewski DA, Tackle ES, Lundquist JK, Oncley S, Prueger JH, Horst T, Rhodes M, Pfeiffer R, Hatfield JL, Spoth K, Doorenbos R (2013) Crop wind energy experiment (CWEX): observations of surface-layer, boundary layer, and mesoscale interactions with a wind farm. Bull Am Meteorol Soc 94:655–672

    Article  Google Scholar 

  • Rajewski DA, Takle ES, Lundquist JK, Prueger JH, Pfeiffer RL, Hatfield JL, Doorenbos RK (2014) Changes in fluxes of heat, H2O, and CO2 caused by a large wind farm. Agric For Meteorol 194:175–187

    Article  Google Scholar 

  • Rajewski DA, Takle ES, Prueger JH, Doorenbos RK (2016) Toward understanding the physical link between turbines and microclimate impacts from in situ measurements in a large wind farm. J Geophys Res Atmos 121(22):13392–13414

    Article  Google Scholar 

  • Skamarock WC, Klemp JB (2008) A time-split nonhydrostatic atmospheric model for weather research and forecasting applications. J Comput Phys 227:3465–3485

    Article  Google Scholar 

  • Skamarock WC et al (2008) A description of the advanced research WRF version 3. Tech. Rep. NCAR/TN-475 + STR

  • Slawsky LM, Zhou L, Baidya SR, Xia G, Vuille M, Harris RA (2015) Observed thermal impacts of wind farms over northern illinois. Remote Sens 15(7):14981–15005

    Google Scholar 

  • Smith CR, Barthelmie RJ, Pryor SC (2013) In situ observations of the influence of a large onshore wind farm on near-surface temperature, turbulence intensity and wind speed profiles. Environ Res Lett 8:034006

    Article  Google Scholar 

  • Sun H, Luo Y, Zhao Z, Chang R (2018) The impacts of Chinese wind farms on climate. J Geophys Res Atmos 123:5177–5187. https://doi.org/10.1029/2017JD028028

    Article  Google Scholar 

  • Tang B, Wu D, Zhao X, Zhou T, Zhao W, Wei H (2017) The observed impacts of wind farms on local vegetation growth in Northern China. Remote Sens 9(4):332

    Article  Google Scholar 

  • Vanderwende B, Lundquist JK, Rhodes ME, Takle GS, Purdy SI (2015) Observing and simulating the summertime low-level jet in central Iowa. Mon Weather Rev 143:2319–2336

    Article  Google Scholar 

  • Volker PJH, Badger J, Hahmann AN, Ott S (2015) The explicit wake parameterization v1.0: a wind farm parameterization in the mesoscale model WRF. Geosci Model Dev 8(11):3715–3731

    Article  Google Scholar 

  • Wilczak J, Finley C, Freedman J, Cline J, Bianco L, Olson J, Djalalova I, Sheridan L, Ahlstrom M, Manobianco J, Zack J, Carley J, Benjamin S, Marquis M (2014) The wind forecast improvement project (WFIP): a public-private partnership addressing wind energy forecast needs. Bull Am Meteorol Soc. https://doi.org/10.1175/BAMS-D-14-00107.1

    Google Scholar 

  • Xia G, Zhou L (2017a) Detecting wind farm impacts on local vegetation growth in Texas and Illinois using MODIS vegetation greenness measurements. Remote Sens 9:698

    Article  Google Scholar 

  • Xia G, Zhou L, Freedman JM, Roy SB, Harris RA, Cervarich MC (2016) A case study of effects of atmospheric boundary layer turbulence, wind speed, and stability on wind farm induced temperature changes using observations from a field campaign. Clim Dyn 46:1–18

    Article  Google Scholar 

  • Xia G, Cervarich M, Baidya SB, Zhou L, Minder J, Freedam JM, Jiménez PA (2017b) Simulating impacts of real-world wind farms on land surface temperature using WRF model: validation with MODIS observations. Mon Weather Rev 145:4813–4836

    Article  Google Scholar 

  • Zhou L, Dickinson RE, Ogawa K, Tian Y, Jin M, Schmugge T, Tsvetsinskaya E (2003a) Relations between albedos and emissivities from MODIS and ASTER data over North African desert. Geophys Res Lett 30(20):2026

    Article  Google Scholar 

  • Zhou L, Dickinson RE, Tian Y, Jin M, Ogawa K, Yu H, Schmugge T (2003b) A sensitivity study of climate and energy balance simulations with use of satellite derived emissivity data over the northern Africa and the Arabian peninsula. J Geophys Res 108(D24):4795. https://doi.org/10.1029/2003JD004083

    Article  Google Scholar 

  • Zhou L, Tian Y, Baidya RS, Thorncroft C, Bosart LF, Hu Y (2012) Impacts of wind farms on land surface temperature. Nat Clim Change 2(7):539–543

    Article  Google Scholar 

  • Zhou L, Tian Y, Baidya RS, Dai Y, Chen H (2013a) Diurnal and seasonal variations of wind farm impacts on land surface temperature over western Texas. Clim Dyn 41:307–326

    Article  Google Scholar 

  • Zhou L, Tian Y, Chen H, Dai Y, Harris RA (2013b) Effects of topography on assessing wind farm impacts using MODIS data. Earth Interact 17(13):1–18

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the National Science Foundation (NSF-AGS-1247137) Grant. We also would like to thank two anonymous reviewers for their helpful comments.

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Authors and Affiliations

  1. Department of Atmospheric and Environmental Sciences, University at Albany, State University of New York, 1400 Washington Avenue, Albany, NY, 12222, USA

    Geng Xia, Liming Zhou, Justin R. Minder & Robert G. Fovell

  2. Research Applications Laboratory, NCAR, Boulder, CO, USA

    Pedro A. Jimenez

Authors
  1. Geng Xia
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  2. Liming Zhou
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  3. Justin R. Minder
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  4. Robert G. Fovell
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  5. Pedro A. Jimenez
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Correspondence to Geng Xia.

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Xia, G., Zhou, L., Minder, J.R. et al. Simulating impacts of real-world wind farms on land surface temperature using the WRF model: physical mechanisms. Clim Dyn 53, 1723–1739 (2019). https://doi.org/10.1007/s00382-019-04725-0

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  • DOI: https://doi.org/10.1007/s00382-019-04725-0

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