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Evaluation of a spatial rainfall generator for generating high resolution precipitation projections over orographically complex terrain

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Abstract

Space–time variability of precipitation plays a key role as driver of many environmental processes. The objective of this study is to evaluate a spatiotemporal (STG) Neyman–Scott Rectangular Pulses (NSRP) generator over orographically complex terrain for statistical downscaling of climate models. Data from 145 rain gauges over a 5760-km2 area of Cyprus for 1980–2010 were used for this study. The STG was evaluated for its capacity to reproduce basic rainfall statistical properties, spatial intermittency, and extremes. The results were compared with a multi-single site NRSP generator (MSG). The STG performed well in terms of average annual rainfall (+1.5 % in comparison with the 1980–2010 observations), but does not capture spatial intermittency over the study area and extremes well. Daily events above 50 mm were underestimated by 61 %. The MSG produced a similar error (+1.1 %) in terms of average annual rainfall, while the daily extremes (>50-mm) were underestimated by 11 %. A gridding scheme based on scaling coefficients was used to interpolate the MSG data. Projections of three Regional Climate Models, downscaled by MSG, indicate a 1.5–12 % decrease in the mean annual rainfall over Cyprus for 2020–2050. Furthermore, the number of extremes (>50-mm) for the 145 stations is projected to change between −24 and +2 % for the three models. The MSG modelling approach maintained the daily rainfall statistics at all grid cells, but cannot create spatially consistent daily precipitation maps, limiting its application to spatially disconnected applications. Further research is needed for the development of spatial non-stationary NRSP models.

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Acknowledgments

This study is part of the AGWATER project (ΑΕΙΦΟΡΙΑ/ΓΕΩΡΓΟ/0311(ΒΙΕ)/06), co-financed by the European Regional Development Fund and the Republic of Cyprus through the Research Promotion Foundation.

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  1. Energy, Environment and Water Research Center, The Cyprus Institute, Aglantzia, 2121, Nicosia, Cyprus

    Corrado Camera, Adriana Bruggeman, Panos Hadjinicolaou, Silas Michaelides & Manfred A. Lange

  2. Cyprus Department of Meteorology, 1418, Nicosia, Cyprus

    Silas Michaelides

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  1. Corrado Camera
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  2. Adriana Bruggeman
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  3. Panos Hadjinicolaou
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Correspondence to Corrado Camera.

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Camera, C., Bruggeman, A., Hadjinicolaou, P. et al. Evaluation of a spatial rainfall generator for generating high resolution precipitation projections over orographically complex terrain. Stoch Environ Res Risk Assess 31, 757–773 (2017). https://doi.org/10.1007/s00477-016-1239-1

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