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    Forcing a Distributed Glacier Mass Balance Model with the Regional Climate Model REMO. Part II: Downscaling Strategy and Results for Two Swiss Glaciers 

    Source: Journal of Climate:;2010:;volume( 023 ):;issue: 006:;page 1607
    Author(s): Paul, Frank; Kotlarski, Sven
    Publisher: American Meteorological Society
    Abstract: Distributed glacier mass balance models are efficient tools for the assessment of climate change impacts on glaciers at regional scales and at high spatial resolution (25?100 m). In general, these models are driven by time ...
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    Forcing a Distributed Glacier Mass Balance Model with the Regional Climate Model REMO. Part I: Climate Model Evaluation 

    Source: Journal of Climate:;2010:;volume( 023 ):;issue: 006:;page 1589
    Author(s): Kotlarski, Sven; Paul, Frank; Jacob, Daniela
    Publisher: American Meteorological Society
    Abstract: A coupling interface between the regional climate model REMO and a distributed glacier mass balance model is presented in a series of two papers. The first part describes and evaluates the reanalysis-driven regional climate ...
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    Does Quantile Mapping of Simulated Precipitation Correct for Biases in Transition Probabilities and Spell Lengths? 

    Source: Journal of Climate:;2016:;volume( 029 ):;issue: 005:;page 1605
    Author(s): Rajczak, Jan; Kotlarski, Sven; Schär, Christoph
    Publisher: American Meteorological Society
    Abstract: limate impact studies constitute the basis for the formulation of adaptation strategies. Usually such assessments apply statistically postprocessed output of climate model projections to force impact models. Increasingly, ...
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    Climate Model Biases and Modification of the Climate Change Signal by Intensity-Dependent Bias Correction 

    Source: Journal of Climate:;2018:;volume 031:;issue 016:;page 6591
    Author(s): Ivanov, Martin Aleksandrov; Luterbacher, Jürg; Kotlarski, Sven
    Publisher: American Meteorological Society
    Abstract: AbstractClimate change impact research and risk assessment require accurate estimates of the climate change signal (CCS). Raw climate model data include systematic biases that affect the CCS of high-impact variables such ...
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    Exploring Perturbed Physics Ensembles in a Regional Climate Model 

    Source: Journal of Climate:;2012:;volume( 025 ):;issue: 013:;page 4582
    Author(s): Bellprat, Omar; Kotlarski, Sven; Lüthi, Daniel; Schär, Christoph
    Publisher: American Meteorological Society
    Abstract: erturbed physics ensembles (PPEs) have been widely used to assess climate model uncertainties and have provided new estimates of climate sensitivity and parametric uncertainty in state-of-the-art climate models. So far, ...
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    Hydrological Climate-Impact Projections for the Rhine River: GCM–RCM Uncertainty and Separate Temperature and Precipitation Effects 

    Source: Journal of Hydrometeorology:;2013:;Volume( 015 ):;issue: 002:;page 697
    Author(s): Bosshard, Thomas; Kotlarski, Sven; Zappa, Massimiliano; Schär, Christoph
    Publisher: American Meteorological Society
    Abstract: limate change is expected to affect the hydrological cycle, with considerable impacts on water resources. Climate-induced changes in the hydrology of the Rhine River (Europe) are of major importance for the riparian ...
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