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. This study integrated a water isotope module into the hydrological modelTHREW (Tsinghua Representative Elementary Watershed) which has been successfully used in high and cold regions. Signaturesof oxygen stable isotope (18O) of different water inputs and storeswere simulated coupling with the simulations of runoff generation. Isotopemeasurements of precipitation water samples and assumed constant isotopesignature of ice meltwater were used to force the isotope module. Isotopesignatures of water stores such as snowpack and subsurface water wereupdated by an assumed completely mixing procedure. Fractionation effects ofsnowmelt and evapotranspiration were modeled in a Rayleigh fractionationapproach. The isotope-aided model was subsequently applied for thequantification of runoff components and estimations of mean water traveltime (MTT) and mean residence time (MRT) in the glacierized watershed ofKaruxung river on the Tibetan Plateau. Model parameters were calibrated bythree variants with different combinations of streamflow, snow cover areaand isotopic composition of stream water. Modeled MTT and MRT were validatedby estimates of a tracer-based sine-wave method. Results indicate that (1) the proposed model performs well on simultaneously reproducing theobservations of streamflow, snow cover area and isotopic composition ofstream water, despite the fact that only precipitation water samples were availablefor tracer input; (2) isotope data facilitate more robust estimations oncontributions of runoff components (CRCs) to streamflow in the meltingseason, as well as on MTT and MRT; (3) involving isotope data for the modelcalibration obviously reduces uncertainties in the quantification of CRCsand estimations of MTT and MRT, through better constraining the competitionsamong different runoff processes induced by meltwater and rainfall. Ourresults inform scientists on the high value of water isotope data for improving processunderstanding in a glacierized basin on the Tibetan Plateau.

The value of water isotope data on improving process understanding in a glacierized catchment on the Tibetan Plateau