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Climate change impact on the water regime of two great Arctic rivers: modeling and uncertainty issues

Author

Listed:
  • Alexander Gelfan

    (Water Problems Institute of RAS
    P.P. Shirshov Institute of Oceanology of RAS)

  • David Gustafsson

    (Swedish Meteorological and Hydrological Institute)

  • Yury Motovilov

    (Water Problems Institute of RAS
    P.P. Shirshov Institute of Oceanology of RAS)

  • Berit Arheimer

    (Swedish Meteorological and Hydrological Institute)

  • Andrey Kalugin

    (Water Problems Institute of RAS
    P.P. Shirshov Institute of Oceanology of RAS)

  • Inna Krylenko

    (Water Problems Institute of RAS
    Lomonosov Moscow State University, Faculty of Geography)

  • Alexander Lavrenov

    (Water Problems Institute of RAS)

Abstract

The ECOlogical Model for Applied Geophysics (ECOMAG) and the HYdrological Predictions for the Environment (HYPE) process-based hydrological models were set up to assess possible impacts of climate change on the hydrological regime of two pan-Arctic great drainage basins of the Lena and the Mackenzie Rivers. We firstly assessed the reliability of the hydrological models to reproduce the historical streamflow series and analyzed the hydrological projections driven by the climate change scenarios. The impacts were assessed for three 30-year periods (early- (2006–2035), mid- (2036–2065), and end-century (2070–2099)) using an ensemble of five global climate models (GCMs) and four Representative Concentration Pathway (RCP) scenarios. Results show, particularly, that the basins react with a multi-year delay to changes in RCP2.6, so-called “mitigation” scenario, and consequently to the potential mitigation measures. Then, we assessed the hydrological projections’ variability, which is caused by the GCM’s and RCP’s uncertainties, and found that the variability rises with the time horizon of the projection, and generally, the projection variability is larger for the Mackenzie than for the Lena. We finally compared the mean annual runoff anomalies projected under the GCM-based data for the twenty-first century with the corresponding anomalies projected under a modified observed climatology using the delta-change method in the Lena basin. We found that the compared projections are closely correlated for the early-century period. Thus, for the Lena basin, the modified observed climatology can be used as driving force for hydrological model-based projections and considered as an alternative to the GCM-based scenarios.

Suggested Citation

  • Alexander Gelfan & David Gustafsson & Yury Motovilov & Berit Arheimer & Andrey Kalugin & Inna Krylenko & Alexander Lavrenov, 2017. "Climate change impact on the water regime of two great Arctic rivers: modeling and uncertainty issues," Climatic Change, Springer, vol. 141(3), pages 499-515, April.
  • Handle: RePEc:spr:climat:v:141:y:2017:i:3:d:10.1007_s10584-016-1710-5
    DOI: 10.1007/s10584-016-1710-5
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    References listed on IDEAS

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    1. Detlef Vuuren & Jae Edmonds & Mikiko Kainuma & Keywan Riahi & Allison Thomson & Kathy Hibbard & George Hurtt & Tom Kram & Volker Krey & Jean-Francois Lamarque & Toshihiko Masui & Malte Meinshausen & N, 2011. "The representative concentration pathways: an overview," Climatic Change, Springer, vol. 109(1), pages 5-31, November.
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    Cited by:

    1. Alexander Gelfan & Andrey Kalugin & Inna Krylenko, 2023. "Detection, attribution, and specifying mechanisms of hydrological changes in geographically different river basins," Climatic Change, Springer, vol. 176(9), pages 1-21, September.
    2. Dongmei Feng & Edward Beighley & Roozbeh Raoufi & John Melack & Yuanhao Zhao & Sam Iacobellis & Daniel Cayan, 2019. "Propagation of future climate conditions into hydrologic response from coastal southern California watersheds," Climatic Change, Springer, vol. 153(1), pages 199-218, March.
    3. Alexander Gelfan & Andrey Kalugin & Inna Krylenko & Olga Nasonova & Yeugeniy Gusev & Evgeny Kovalev, 2020. "Does a successful comprehensive evaluation increase confidence in a hydrological model intended for climate impact assessment?," Climatic Change, Springer, vol. 163(3), pages 1165-1185, December.
    4. Nikolay I. Didenko & Yuri S. Klochkov & Djamilia F. Skripnuk, 2018. "Ecological Criteria for Comparing Linear and Circular Economies," Resources, MDPI, vol. 7(3), pages 1-17, August.

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