M. Holthuijzen
Theoretical and Applied Climatology · 2021
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
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Papers from M. Holthuijzen's perspective
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- Statistical bias correction for daily precipitation in regional climate models over Europe
- Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling
- Statistical Downscaling of Extreme Precipitation Events Using Censored Quantile Regression
- Bias Correction of GCM Precipitation by Quantile Mapping: How Well Do Methods Preserve Changes in Quantiles and Extremes?
- Regional climate models add value to global model data, A Review and Selected Examples
- Multisegment statistical bias correction of daily GCM precipitation output
- Comprehensive Automated Quality Assurance of Daily Surface Observations
- Probability Distributions for a Quantile Mapping Technique for a Bias Correction of Precipitation Data: A Case Study to Precipitation Data Under Climate Change (Water)
- R: A language and environment for statistical computing.
- Does applying quantile mapping to subsamples improve the bias correction of daily precipitation?