Multivariate bias‐correction of high‐resolution regional climate change simulations for West Africa : performance and climate change implications

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Diarra Dieng
  • Alex J. Cannon
  • Patrick Laux
  • Cornelius Hald
  • Jaber Rahimi
  • Amit K. Srivastava
  • Mamadou Lamine Mbaye
  • Harald Kunstmann

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article numbere2021JD034836
Journal / PublicationJournal of Geophysical Research: Atmospheres
Volume127
Issue number5
Online published13 Feb 2022
Publication statusPublished - 16 Mar 2022

Link(s)

Abstract

A Multivariate Bias Correction based on N-dimensional Probability Density Function transform (MBCn) technique is applied to four different high-resolution regional climate change simulations and key meteorological variables, namely precipitation, mean near-surface air temperature, near-surface maximum air temperature, near-surface minimum air temperature, surface downwelling solar radiation, relative humidity, and wind speed. The impact of bias-correction on the historical (1980-2005) period, the inter-variable relationships, and the measures of spatio-temporal consistency are investigated. The focus is on the discrepancies between the original and the bias-corrected results over five agro-ecological zones. We also evaluate relevant indices for agricultural applications such as climate extreme indices, under current and future (2020-2050) climate change conditions based on the RCP4.5. Results show that MBCn successfully corrects the seasonal biases in spatial patterns and intensities for all variables, their intervariable correlation, and the distributions of most of the analyzed variables. Relatively large bias reductions during the historical period give indication of possible benefits of MBCn when applied to future scenarios. Although the four RCMs do not agree on the same positive/negative sign of the change of the seven climate variables for all grid points, the model ensemble mean shows a statistically significant change in rainfall, relative humidity in the Northern zone and wind speed in the Coastal zone of West Africa and increasing maximum summer temperature up to 2°C in the Sahara.

Research Area(s)

  • A multivariate bias correction (MBCn)onal climate simulations, Climate extreme indices, High-resolution regional climate change simulations, The bias correction is found to influence the probability of extreme events, The model ensemble mean shows a statistically significant change, West Africa

Citation Format(s)

Multivariate bias‐correction of high‐resolution regional climate change simulations for West Africa : performance and climate change implications. / Dieng, Diarra; Cannon, Alex J.; Laux, Patrick; Hald, Cornelius; Adeyeri, Oluwafemi; Rahimi, Jaber; Srivastava, Amit K.; Mbaye, Mamadou Lamine; Kunstmann, Harald.

In: Journal of Geophysical Research: Atmospheres, Vol. 127, No. 5, e2021JD034836, 16.03.2022.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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