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Discussion papers
https://doi.org/10.5194/esd-2019-55
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-2019-55
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 23 Oct 2019

Submitted as: research article | 23 Oct 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Dynamics (ESD).

The impact of RCM formulation and resolution on simulated precipitation in Africa

Minchao Wu1, Grigory Nikulin1, Erik Kjellström1, Danijel Belušić1, Colin Jones2, and David Lindstedt1 Minchao Wu et al.
  • 1Swedish Meteorological and Hydrological Institute, Folkborgsvägen 17, 60176 Norrköping, Sweden
  • 2National Centre for Atmospheric Science (NCAS), University of Leeds, Leeds, UK

Abstract. We investigate the impact of model formulation and horizontal resolution on the ability of Regional Climate Models (RCMs) to simulate precipitation in Africa. Two RCMs – SMHI-RCA4 and HCLIM38-ALADIN are utilized for downscaling the ERA-Interim reanalysis over Africa at four different resolutions: 25, 50, 100 and 200 km. Additionally to the two RCMs, two different configurations of the same RCA4 are used. Contrasting different RCMs, configurations and resolutions it is found that model formulation has the primary control over many aspects of the precipitation climatology in Africa. Patterns of spatial biases in seasonal mean precipitation are mostly defined by model formulation while the magnitude of the biases is controlled by resolution. In a similar way, the phase of the diurnal cycle is completely controlled by model formulation (convection scheme) while its amplitude is a function of resolution. Although higher resolution in many cases leads to smaller biases in the time mean climate, the impact of higher resolution is mixed. An improvement in one region/season (e.g. reduction of dry biases) often corresponds to a deterioration in another region/season (e.g. amplification of wet biases). The experiments confirm a pronounced and well known impact of higher resolution – a more realistic distribution of daily precipitation. Even if the time-mean climate is not always greatly sensitive to resolution, what the time-mean climate is made up of, higher order statistics, is sensitive. Therefore, the realism of the simulated precipitation increases as resolution increases.

Our results show that improvements in the ability of RCMs to simulate precipitation in Africa compared to their driving reanalysis in many cases are simply related to model formulation and not necessarily to higher resolution. Such model formulation related improvements are strongly model dependent and in general cannot be considered as an added value of downscaling.

Minchao Wu et al.
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Latest update: 16 Nov 2019
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Short summary
Regional Earth system model is a useful tool for climate change research. However, its added value of using high resolution can differ in contexts. In this study, we investigated the role of increasing model resolution in simulating precipitation over Africa by using three models and four spatial resolutions, and identified potential added values for specific climate variables over different geographical locations, which could be helpful when providing climate services to local stakeholders.
Regional Earth system model is a useful tool for climate change research. However, its added...
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