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

Strauch, M., Kumar, R., Eisner, S., Mulligan, M., Reinhardt, J., Santini, W., Vetter, T., Friesen, J. (2017): Adjustment of global precipitation data for enhanced hydrologic modeling of tropical Andean watersheds. - Climatic Change, 141, 3, 547-560.
https://doi.org/10.1007/s10584-016-1706-1

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 Creators:
Strauch, M.1, Author
Kumar, R.1, Author
Eisner, S.1, Author
Mulligan, M.1, Author
Reinhardt, Julia2, Author              
Santini, W.1, Author
Vetter, Tobias2, Author              
Friesen, J.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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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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 Dates: 2017
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/s10584-016-1706-1
PIKDOMAIN: Climate Impacts & Vulnerabilities - Research Domain II
eDoc: 8010
Research topic keyword: Climate impacts
Research topic keyword: Freshwater
Model / method: SWIM
Model / method: Model Intercomparison
Regional keyword: South America
Organisational keyword: RD2 - Climate Resilience
MDB-ID: No data to archive
 Degree: -

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Title: Climatic Change
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 141 (3) Sequence Number: - Start / End Page: 547 - 560 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals80