Articles | Volume 17, issue 11
https://doi.org/10.5194/hess-17-4379-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-17-4379-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Nov 2013
Research article |
| 06 Nov 2013
Precipitation bias correction of very high resolution regional climate models
D. Argüeso
ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, NSW 2052, Australia
Climate Change Research Centre, University of New South Wales, Sydney, NSW 2052, Australia
J. P. Evans
ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, NSW 2052, Australia
Climate Change Research Centre, University of New South Wales, Sydney, NSW 2052, Australia
L. Fita
ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, NSW 2052, Australia
Climate Change Research Centre, University of New South Wales, Sydney, NSW 2052, Australia
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- Exploring the Effect of Occurrence-Bias-Adjustment Assumptions on Hydrological Impact Modeling J. Van de Velde et al. 10.3390/w13111573
- Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods: a case study on data from Uccle, Belgium J. Van de Velde et al. 10.5194/hess-26-2319-2022
- Climate Change and Rainfall Intensity–Duration–Frequency Curves: Overview of Science and Guidelines for Adaptation J. Martel et al. 10.1061/(ASCE)HE.1943-5584.0002122
- Evaluation of bias correction methods for a multivariate drought index: case study of the Upper Jhelum Basin R. Ansari et al. 10.5194/gmd-16-2055-2023
- Observed decrease in light precipitation in part due to urbanization S. Tysa & G. Ren 10.1038/s41598-022-07897-8
- An improved bias correction method of daily rainfall data using a sliding window technique for climate change impact assessment P. Smitha et al. 10.1016/j.jhydrol.2017.11.010
- Multi-Criteria Decision Framework to Evaluate Bias Corrected Climate Change Projections in the Piracicaba River Basin C. Billerbeck et al. 10.1590/0102-77863630068
- A comparison of methods to estimate future sub-daily design rainfall J. Li et al. 10.1016/j.advwatres.2017.10.020
- Multivariate adjustment of drizzle bias using machine learning in European climate projections G. Lazoglou et al. 10.5194/gmd-17-4689-2024
- A parametric approach for simultaneous bias correction and high‐resolution downscaling of climate model rainfall A. Mamalakis et al. 10.1002/2016WR019578
- Bias correction of daily precipitation for ungauged locations using geostatistical approaches: A case study for the CORDEX‐Africa ensemble M. Lorenz et al. 10.1002/joc.7649
- Climate change impact on flood hazard over Italy M. García-Valdecasas Ojeda et al. 10.1016/j.jhydrol.2022.128628
- Convection‐permitting modeling with regional climate models: Latest developments and next steps P. Lucas‐Picher et al. 10.1002/wcc.731
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- Daily precipitation statistics in a EURO-CORDEX RCM ensemble: added value of raw and bias-corrected high-resolution simulations A. Casanueva et al. 10.1007/s00382-015-2865-x
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- Fidelity of WRF model in simulating heat wave events over India P. Gupta et al. 10.1038/s41598-024-52541-2
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- Projection of future precipitation extremes across the Bangkok Metropolitan Region R. Cooper 10.1016/j.heliyon.2019.e01678
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