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Adjustment of global precipitation data for enhanced hydrologic modeling of tropical Andean watersheds

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Abstract

Global gridded precipitation is an essential driving input for hydrologic models to simulate runoff dynamics in large river basins. However, the data often fail to adequately represent precipitation variability in mountainous regions due to orographic effects and sparse and highly uncertain gauge data. Water balance simulations in tropical montane regions covered by cloud forests are especially challenging because of the additional water input from cloud water interception. The ISI-MIP2 hydrologic model ensemble encountered these problems for Andean sub-basins of the Upper Amazon Basin, where all models significantly underestimated observed runoff. In this paper, we propose simple yet plausible ways to adjust global precipitation data provided by WFDEI, the WATCH Forcing Data methodology applied to ERA-Interim reanalysis, for tropical montane watersheds. The modifications were based on plausible reasoning and freely available tropics-wide data: (i) a high-resolution climatology of the Tropical Rainfall Measuring Mission (TRMM) and (ii) the percentage of tropical montane cloud forest cover. Using the modified precipitation data, runoff predictions significantly improved for all hydrologic models considered. The precipitation adjustment methods presented here have the potential to enhance other global precipitation products for hydrologic model applications in the Upper Amazon Basin as well as in other tropical montane watersheds.

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Acknowledgments

We would like to thank Stephan Thober for his mathematical support in developing the TRMM normalization scheme as well as Valentina Krysanova and Fred Hattermann for coordinating the regional water sector within ISI-MIP2.

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Authors and Affiliations

  1. Department of Computational Landscape Ecology, UFZ - Helmholtz-Center for Environmental Research, Permoserstraße 15, 04318, Leipzig, Germany

    Michael Strauch

  2. Department of Computational Hydrosystems, UFZ - Helmholtz-Center for Environmental Research, Leipzig, Germany

    Rohini Kumar

  3. Center for Environmental Systems Research, University of Kassel, Kassel, Germany

    Stephanie Eisner

  4. Department of Geography, King’s College London, London, UK

    Mark Mulligan

  5. Potsdam Institute for Climate Impact Research – PIK, Potsdam, Germany

    Julia Reinhardt & Tobias Vetter

  6. Institut de Recherche pour le Développement – IRD, Lima, Peru

    William Santini

  7. Géosciences Environnement Toulouse – GET, Lima, Peru

    William Santini

  8. Department of Catchment Hydrology, UFZ - Helmholtz-Center for Environmental Research, Leipzig, Germany

    Jan Friesen

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  1. Michael Strauch
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  2. Rohini Kumar
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  3. Stephanie Eisner
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  4. Mark Mulligan
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  5. Julia Reinhardt
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  6. William Santini
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  7. Tobias Vetter
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  8. Jan Friesen
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Corresponding author

Correspondence to Michael Strauch.

Additional information

This article is part of a Special Issue on “Hydrological Model Intercomparison for Climate Impact Assessment” edited by Valentina Krysanova and Fred Hattermann.

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Strauch, M., Kumar, R., Eisner, S. et al. Adjustment of global precipitation data for enhanced hydrologic modeling of tropical Andean watersheds. Climatic Change 141, 547–560 (2017). https://doi.org/10.1007/s10584-016-1706-1

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  • DOI: https://doi.org/10.1007/s10584-016-1706-1

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