Articles | Volume 17, issue 6
https://doi.org/10.5194/hess-17-2147-2013
© 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-17-2147-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Jun 2013
Research article |
| 07 Jun 2013
Errors in climate model daily precipitation and temperature output: time invariance and implications for bias correction
E. P. Maurer
Civil Engineering Dept., Santa Clara University, Santa Clara, CA, USA
T. Das
CH2MHill, 402 W. Broadway, San Diego, CA, USA
D. R. Cayan
Division of Climate, Atmospheric Sciences, and Physical Oceanography, Scripps Institution of Oceanography and Water Resources Division, US Geological Survey, La Jolla, CA, USA
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39 citations as recorded by crossref.
- Variable sensitivity analysis in groundwater level projections under climate change adopting a hybrid machine learning algorithm A. Sharghi et al. https://doi.org/10.1016/j.envsoft.2024.106264
- Assessing the sensitivity of hydro-climatological change detection methods to model uncertainty and bias Z. Jiang et al. https://doi.org/10.1016/j.advwatres.2019.103430
- Impacts of bias nonstationarity of climate model outputs on hydrological simulations Y. Hui et al. https://doi.org/10.2166/nh.2020.254
- Scaled distribution mapping: a bias correction method that preserves raw climate model projected changes M. Switanek et al. https://doi.org/10.5194/hess-21-2649-2017
- Regional climate modeling over China with COSMO‐CLM: Performance assessment and climate projections E. Bucchignani et al. https://doi.org/10.1002/2014JD022219
- Do Derived Drought Indices Better Characterize Future Drought Change? Z. Jiang et al. https://doi.org/10.1029/2022EF003350
- Assessing temperature and precipitation bias nonstationarity of CMIP6 global climate models over Iran N. Azad & A. Ahmadi https://doi.org/10.1007/s00704-024-05322-w
- Evaluating the Time-Invariance Hypothesis of Climate Model Bias Correction: Implications for Hydrological Impact Studies J. Velázquez et al. https://doi.org/10.1175/JHM-D-14-0159.1
- Bias correction can modify climate model simulated precipitation changes without adverse effect on the ensemble mean E. Maurer & D. Pierce https://doi.org/10.5194/hess-18-915-2014
- Evaluation of Reanalysis Precipitation Data and Potential Bias Correction Methods for Use in Data-Scarce Areas V. Garibay et al. https://doi.org/10.1007/s11269-021-02804-8
- Projected Changes in United States Regional Extreme Heat Days Derived From Bivariate Quantile Mapping of CMIP5 Simulations J. Schoof et al. https://doi.org/10.1029/2018JD029599
- Patterns in Climate-Related Parameters as Proxy for Rainfall Deficiency and Aridity: Application to Burkina Faso A. Garcia-Aristizabal et al. https://doi.org/10.1061/AJRUA6.0000860
- Assessing the limits of bias‐correcting climate model outputs for climate change impact studies J. Chen et al. https://doi.org/10.1002/2014JD022635
- Identifying robust bias adjustment methods for European extreme precipitation in a multi-model pseudo-reality setting T. Schmith et al. https://doi.org/10.5194/hess-25-273-2021
- What are the impacts of bias correction on future drought projections? F. Johnson & A. Sharma https://doi.org/10.1016/j.jhydrol.2015.04.002
- Addressing Spatial Dependence Bias in Climate Model Simulations—An Independent Component Analysis Approach J. Nahar et al. https://doi.org/10.1002/2017WR021293
- Observed and Projected Scaling of Daily Extreme Precipitation with Dew Point Temperature at Annual and Seasonal Scales across the Northeast United Sates S. Steinschneider & N. Najibi https://doi.org/10.1175/JHM-D-21-0183.1
- A rank-based approach for correcting systematic biases in spatial disaggregation of coarse-scale climate simulations J. Nahar et al. https://doi.org/10.1016/j.jhydrol.2017.05.045
- Analysis of Expected Climate Extreme Variability with Regional Climate Simulations over Napoli Capodichino Airport: A Contribution to a Climate Risk Assessment Framework E. Bucchignani et al. https://doi.org/10.3390/earth2040058
- Impact of Climate Change on Reference Evapotranspiration: Bias Assessment and Climate Models in a Semi-Arid Agricultural Zone O. Galván-Cano et al. https://doi.org/10.3390/w17213040
- Accuracy of daily estimation of grass reference evapotranspiration using ERA-Interim reanalysis products with assessment of alternative bias correction schemes P. Paredes et al. https://doi.org/10.1016/j.agwat.2018.08.003
- Assessing the extent of non-stationary biases in GCMs J. Nahar et al. https://doi.org/10.1016/j.jhydrol.2017.03.045
- Technical Note: The impact of spatial scale in bias correction of climate model output for hydrologic impact studies E. Maurer et al. https://doi.org/10.5194/hess-20-685-2016
- Bias adjustment to preserve changes in variability: the unbiased mapping of GCM changes C. Chadwick et al. https://doi.org/10.1080/02626667.2023.2201450
- Effects of climate change on shallow landslides in a small coastal catchment in southern Italy F. Ciervo et al. https://doi.org/10.1007/s10346-016-0743-1
- Design considerations for riverine floods in a changing climate – A review B. François et al. https://doi.org/10.1016/j.jhydrol.2019.04.068
- 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. https://doi.org/10.5194/hess-26-2319-2022
- Hydrologic extremes – an intercomparison of multiple gridded statistical downscaling methods A. Werner & A. Cannon https://doi.org/10.5194/hess-20-1483-2016
- How May the Choice of Downscaling Techniques and Meteorological Reference Observations Affect Future Hydroclimate Projections? D. Rastogi et al. https://doi.org/10.1029/2022EF002734
- Prospective analysis of spatiotemporal variations in chill during winter, heat accumulation for flowering and spring frost in fruit trees in northeast Spain E. Pérez Sosa et al. https://doi.org/10.1007/s00484-026-03214-4
- Hydrological alterations driven by climate change and human activities: historical attribution, future projections, and process mechanisms in the Daqing River Basin, China X. Song et al. https://doi.org/10.2166/nh.2026.124
- Projected changes in future climate over the Midwest and Great Lakes region using downscaled CMIP5 ensembles K. Byun & A. Hamlet https://doi.org/10.1002/joc.5388
- Estimating Future Surface Water Availability Through an Integrated Climate‐Hydrology‐Management Modeling Framework at a Basin Scale Under CMIP6 Scenarios M. Shao et al. https://doi.org/10.1029/2022WR034099
- Enumerating the Effects of Climate Change on Water Resources Using GCM Scenarios at the Xin’anjiang Watershed, China M. Zaman et al. https://doi.org/10.3390/w10101296
- Impacts of correcting the inter-variable correlation of climate model outputs on hydrological modeling J. Chen et al. https://doi.org/10.1016/j.jhydrol.2018.03.040
- Evaluating the effect of climate change on areal reduction factors using regional climate model projections J. Li et al. https://doi.org/10.1016/j.jhydrol.2015.06.067
- Assessing bias corrections of oceanic surface conditions for atmospheric models J. Beaumet et al. https://doi.org/10.5194/gmd-12-321-2019
- Practical investigation of climate extremes and IDF curves under climate change with applications of SSP scenarios (case study: Silakhor Plain, Iran) A. Sharghi & M. Komasi https://doi.org/10.1007/s10661-025-14568-4
- An integrated assessment of extreme hydrometeorological events in Bangladesh S. Moghim & A. Takallou https://doi.org/10.1007/s00477-023-02404-5
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