Articles | Volume 24, issue 6
Hydrol. Earth Syst. Sci., 24, 2963–2979, 2020
https://doi.org/10.5194/hess-24-2963-2020
Hydrol. Earth Syst. Sci., 24, 2963–2979, 2020
https://doi.org/10.5194/hess-24-2963-2020

Research article 08 Jun 2020

Research article | 08 Jun 2020

Bias in dynamically downscaled rainfall characteristics for hydroclimatic projections

Nicholas J. Potter et al.

Related authors

Impact of downscaled rainfall biases on projected runoff changes
Stephen P. Charles, Francis H. S. Chiew, Nicholas J. Potter, Hongxing Zheng, Guobin Fu, and Lu Zhang
Hydrol. Earth Syst. Sci., 24, 2981–2997, https://doi.org/10.5194/hess-24-2981-2020,https://doi.org/10.5194/hess-24-2981-2020, 2020
Short summary

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
Improved parameterization of snow albedo in Noah coupled with Weather Research and Forecasting: applicability to snow estimates for the Tibetan Plateau
Lian Liu, Yaoming Ma, Massimo Menenti, Rongmingzhu Su, Nan Yao, and Weiqiang Ma
Hydrol. Earth Syst. Sci., 25, 4967–4981, https://doi.org/10.5194/hess-25-4967-2021,https://doi.org/10.5194/hess-25-4967-2021, 2021
Short summary
A 10 km North American precipitation and land-surface reanalysis based on the GEM atmospheric model
Nicolas Gasset, Vincent Fortin, Milena Dimitrijevic, Marco Carrera, Bernard Bilodeau, Ryan Muncaster, Étienne Gaborit, Guy Roy, Nedka Pentcheva, Maxim Bulat, Xihong Wang, Radenko Pavlovic, Franck Lespinas, Dikra Khedhaouiria, and Juliane Mai
Hydrol. Earth Syst. Sci., 25, 4917–4945, https://doi.org/10.5194/hess-25-4917-2021,https://doi.org/10.5194/hess-25-4917-2021, 2021
Short summary
Contribution of moisture sources to precipitation changes in the Three Gorges Reservoir Region
Ying Li, Chenghao Wang, Hui Peng, Shangbin Xiao, and Denghua Yan
Hydrol. Earth Syst. Sci., 25, 4759–4772, https://doi.org/10.5194/hess-25-4759-2021,https://doi.org/10.5194/hess-25-4759-2021, 2021
Short summary
Impacts of land use and land cover change and reforestation on summer rainfall in the Yangtze River basin
Wei Li, Lu Li, Jie Chen, Qian Lin, and Hua Chen
Hydrol. Earth Syst. Sci., 25, 4531–4548, https://doi.org/10.5194/hess-25-4531-2021,https://doi.org/10.5194/hess-25-4531-2021, 2021
Short summary
Mass balance and hydrological modeling of the Hardangerjøkulen ice cap in south-central Norway
Trude Eidhammer, Adam Booth, Sven Decker, Lu Li, Michael Barlage, David Gochis, Roy Rasmussen, Kjetil Melvold, Atle Nesje, and Stefan Sobolowski
Hydrol. Earth Syst. Sci., 25, 4275–4297, https://doi.org/10.5194/hess-25-4275-2021,https://doi.org/10.5194/hess-25-4275-2021, 2021
Short summary

Cited articles

Addor, N. and Seibert, J.: Bias correction for hydrological impact studies – beyond the daily perspective, Hydrol. Process., 28, 4823–4828, https://doi.org/10.1002/hyp.10238, 2014. 
Andrys, J., Lyons, T. J., and Kal, J.: Evaluation of a WRF ensemble using GCM boundary conditions to quantify mean and extreme climate for the southwest of Western Australia (1970–1999), Intl. J. Climatol., 36, 4406–4424, https://doi.org/10.1002/joc.4641, 2016. 
Bárdossy, A. and Pegram, G.: Multiscale spatial recorrelation of RCM precipitation to produce unbiased climate change scenarios over large areas and small, Water Resour. Res., 48, W09502, https://doi.org/10.1029/2011WR011524, 2012. 
Bell, V. A. and Moore, R. J.: The sensitivity of catchment runoff models to rainfall data at different spatial scales, Hydrol. Earth Syst. Sci., 4, 653–667, https://doi.org/10.5194/hess-4-653-2000, 2000. 
Bennett, J. C., Grose, M. R., Corney, S. P., White, C. J., Holz, G. K., Katzfey, J. J., Post, D. A., and Bindoff, N. L.: Performance of an empirical bias-correction of a high-resolution climate dataset, Int. J. Climatol., 34, 2189–2204, https://doi.org/10.1002/joc.3830, 2014. 
Short summary
There is a growing need for information about possible changes to water resource availability in the future due to climate change. Large-scale outputs from global climate models need to be translated to finer-resolution spatial scales before hydrological modelling. Biases in this downscaled data often need to be corrected. We show that usual bias correction methods can retain residual biases in multi-day occurrences of rainfall, which can result in biases in modelled runoff.