Ahmed, K.F., Wang, G., Silander, J., Wilson, A.M., Allen, J.M., Horton, R., and Anyah, R. 2013. “Statistical downscaling and bias correction of climate model outputs for climate change impact assessment in the U.S. Northeast”. Global and Planetary Change, 100, 320-332.
Beck, H.E., Wood, E.F., McVicar, T.R., Zambrano-Bigiarini, M., Alvarez-Garreton, C., Baez-Villanueva, O.M., and Karger, D.N. 2020. Bias Correction of Global High-Resolution Precipitation Climatologies Using Streamflow Observations from 9372 Catchments. Journal of Climate, 33(4), 1299-1315. doi: 10.1175/jcli-d-19-0332.1
Berg, P., Feldmann, H., and Panitz, H.J. 2012. “Bias correction of high-resolution regional climate model data”. Journal of Hydrology, 448-449, 80-92.
Cannon, A.J., Piani, C., and Sippel, S. 2020. Chapter 5 - Bias correction of climate model output for impact models. In J. Sillmann, S. Sippel & S. Russo (Eds.), Climate Extremes and Their Implications for Impact and Risk Assessment (pp. 77-104): Elsevier.
Chen, J. et al. 2019. "Bias correcting climate model multi-member ensembles to assess climate change impacts on hydrology." Climatic Change, 153(3): 361-377.
Chen, J., and Brissette, F.P. 2019. “Reliability of climate model multi-member ensembles in estimating internal precipitation and temperature variability at the multi-decadal scale”. International Journal of Climatology, 39(2), 843-856. doi: 10.1002/joc.5846
Dosio, A., and Paruolo, P. 2011. “Bias correction of the ENSEMBLES high-resolution climate change projections for use by impact models: Evaluation on the present climate”. Journal of Geophysical Research: Atmospheres, 116(D16). doi: 10.1029/2011jd015934
Ghimire, U., Srinivasan, G., and Agarwal, A. 2019. Assessment of rainfall bias correction techniques for improved hydrological simulation. International Journal of Climatology, 39(4), 2386-2399. doi: 10.1002/joc.5959
Guo, Q., Chen, J., Zhang, X., Shen, M., Chen, H., and Guo, S. 2019. “A new two-stage multivariate quantile mapping method for bias correcting climate model outputs”. Climate Dynamics. doi: 10.1007/s00382-019-04729-w
Ivanov, M.A., and Kotlarski, S. 2017. Assessing distribution-based climate model bias correction methods over an alpine domain: added value and limitations. International Journal of Climatology, 37(5), 2633-2653. doi:10.1002/joc.4870
Kanamaru Hideki and Masao Kanamitsu. 2007. “Scale-Selective Bias Correction in a Downscaling of Global Analysis Using a Regional Model”. Monthly weather review. Vol. 135.
Krinner, G., Beaumet, J., Favier, V., Déqué, M., & Brutel-Vuilmet, C. 2019. Empirical Run-Time Bias Correction for Antarctic Regional Climate Projections With a Stretched-Grid AGCM. Journal of Advances in Modeling Earth Systems, 11(1), 64-82. doi: 10.1029/2018ms001438
Maraun, D., Shepherd, T. G., Widmann, M., Zappa, G., Walton, D., Gutiérrez, J. M., and Mearns, L.O. 2017. “Towards process-informed bias correction of climate change simulations”. Nature Climate Change, 7, 764. doi: 10.1038/ nclimate 3418.
Maraun, D. 2012. “Nonstationarities of regional climate model biases in European seasonal mean temperature and precipitation sums”. Geophysical Research Letters, 39(6). doi: 10.1029/2012gl051210
Maurer, E.P., Das, T., and Cayan, D.R. 2013. “Errors in climate model daily precipitation and temperature output: time invariance and implications for bias correction”. Hydrol. Earth Syst. Sci.,17(6), 2147-2159. doi: 10.5194/hess-17-2147-2013.
Müller, M.F., and Thompson, S.E. 2013. “Bias adjustment of satellite rainfall data through stochastic modeling: Methods development and application to Nepal”. Advances in Water Resources, 60, 121-134. doi: https://doi.org/10.1016 /j.advwatres.2013.08.004
Piani, C., and Haerter, J.O. 2012. “Two-dimensional bias correction of temperature and precipitation copulas in climate models”. Geophysical Research Letters, 39(20). doi: 10.1029 /2012gl053839
Terink, W., Hurkmans, R.T.W.L., Torfs, P.J.J.F., and Uijlenhoet, R. 2010. “Evaluation of a bias correction method applied to downscaled precipitation and temperature reanalysis data for the Rhine basin”. Hydrol. Earth Syst. Sci., 14(4), 687-703. doi: 10.5194/hess-14-687-2010
Xu, Zhongfeng and Zong-Liang Yang. 2012. “An Improved Dynamical Downscaling Method with GCM Bias Corrections and Its Validation with 30 Years of Climate Simulations”. Journal of Climate Vol. 25.
Yuan, Q., Thorarinsdottir, T.L., Beldring, S., Wong, W. K., Huang, S., and Xu, C.-Y. 2019. New Approach for Bias Correction and Stochastic Downscaling of Future Projections for Daily Mean Temperatures to a High-Resolution Grid. Journal of Applied Meteorology and Climatology, 58(12), 2617-2632. doi: 10.1175/jamc-d-19-0086.1
Zhang, H., Fraedrich, K., Blender, R., and Zhu, X. 2013. “Precipitation Extremes in CMIP5 Simulations on Different Time Scales”. Journal of Hydrometeorology, 14(3), 923-928. doi: 10.1175/jhm-d-12-0181.1