Articles | Volume 13, issue 4
Earth Syst. Dynam., 13, 1625–1640, 2022
https://doi.org/10.5194/esd-13-1625-2022

Special issue: Resolving uncertainties in solar geoengineering through multi-model...

Earth Syst. Dynam., 13, 1625–1640, 2022
https://doi.org/10.5194/esd-13-1625-2022
Research article
18 Nov 2022
Research article | 18 Nov 2022

Regional dynamical and statistical downscaling temperature, humidity and wind speed for the Beijing region under stratospheric aerosol injection geoengineering

Jun Wang et al.

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Cited articles

Aswathy, V. N., Boucher, O., Quaas, M., Niemeier, U., Muri, H., Mülmenstädt, J., and Quaas, J.: Climate extremes in multi-model simulations of stratospheric aerosol and marine cloud brightening climate engineering, Atmos. Chem. Phys., 15, 9593–9610, https://doi.org/10.5194/acp-15-9593-2015, 2015. 
Bao, J., Feng, J., and Wang, Y.: Dynamical downscaling simulation and future projection of precipitation over China, J. Geophys. Res.-Atmos., 120, 8227–8243, https://doi.org/10.1002/2015JD023275, 2015. 
Brewer, M. C. and Mass, C. F.: Projected Changes in Heat Extremes and Associated Synoptic- and Mesoscale Conditions over the Northwest United States, J. Climate, 29, 6383–6400, https://doi.org/10.1175/JCLI-D-15-0641.1, 2016. 
Chen, B., Stein, A. F., Castell, N., de la Rosa, J. D., de la Campa, A. M., S., Gonzalez-Castanedo, Y., and Draxler, R. R.: Modeling and surface observations of arsenic dispersion from a large Cu-smelter in southwestern Europe, Atmos. Environ., 49, 114–122, https://doi.org/10.1016/j.atmosenv.2011.12.014, 2012. 
Chen, F. and Dudhia, J.: Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System, Part I: Model Implementation and Sensitivity, Mon. Weather Rev., 129, 569–585, https://doi.org/10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2, 2001. 
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We examine how geoengineering using aerosols in the atmosphere might impact urban climate in the greater Beijing region containing over 50 million people. Climate models have too coarse resolutions to resolve regional variations well, so we compare two workarounds for this – an expensive physical model and a cheaper statistical method. The statistical method generally gives a reasonable representation of climate and has limited resolution and a different seasonality from the physical model.
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