Bias adjustment for threshold-based climate indicators
A method is presented which applies bias adjustments to climate indicators that are based on fixed thresholds, e.g., the number of hot days with the maximum temperature exceeding 30 °C or the number of days with heavy precipitation in exceedance of 20 mm rainfall. The bias adjustment first ident...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2018-06-01
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| Series: | Advances in Science and Research |
| Online Access: | https://www.adv-sci-res.net/15/107/2018/asr-15-107-2018.pdf |
| Summary: | A method is presented which applies bias adjustments to climate indicators
that are based on fixed thresholds, e.g., the number of hot days with the
maximum temperature exceeding 30 °C or the number of days with
heavy precipitation in exceedance of 20 mm rainfall. The bias adjustment
first identifies the percentile of the required threshold value in reference
climate data. Then it computes the value of this percentile for the
individual historical climate model simulations – here an ensembles of
EURO-CORDEX model runs, including dynamical and statistical models. Finally,
the climate indicator is re-calculated for each model. The method is applied
to climate projections as well, giving further insight into the projected
development of the ensemble for extreme conditions. It is assessed that
communication to the public and decision makers is improved by expressing
these changes in extremes based on absolute values. |
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| ISSN: | 1992-0628 1992-0636 |