000186331 001__ 186331
000186331 005__ 20190316235629.0
000186331 0247_ $$2doi$$a10.1016/j.advwatres.2012.08.008
000186331 022__ $$a0309-1708
000186331 02470 $$2ISI$$a000318605000014
000186331 037__ $$aARTICLE
000186331 245__ $$aImproving the degree-day method for sub-daily melt simulations with physically-based diurnal variations
000186331 269__ $$a2013
000186331 260__ $$bElsevier$$c2013$$aOxford
000186331 300__ $$a16
000186331 336__ $$aJournal Articles
000186331 520__ $$aThis paper proposes a new extension of the classical degree-day snowmelt model applicable to hourly simulations for regions with limited data and adaptable to a broad range of spatially-explicit hydrological models. The snowmelt schemes have been tested with a point measurement dataset at the Cotton Creek Experimental Watershed (CCEW) in British Columbia, Canada and with a detailed dataset available from the Dranse de Ferret catchment, an extensive ly monitor ed catchment in the Swiss Alps. The snowmelt model performance is quantified with the use of a spatially-explicit model of the hydrologic response. Comparative analyses are presented with the widely-known, grid-based method proposed by Hock which combines a local, temperature-index approach with potential radiation. The results suggest that a simple diurnal cycle of the degree-day melt parameter based on minimum and maximum temperature s is competitive with the Hock approach for sub-daily melt simulations. Advantages of the new extension of the classical degree-da y method over other temperature-index methods include its use of physically-based, diurnal variations and its abil ity to be adapted to data-constrained hydrological models which are lumped in some nature.
000186331 6531_ $$aSnowmelt comparison
000186331 6531_ $$aTemperature index methods
000186331 6531_ $$aSpatially-explicit hydrological modeling
000186331 6531_ $$aWireless meteorological network
000186331 700__ $$0242118$$g176480$$aTobin, Cara
000186331 700__ $$0241370$$g110841$$aSchaefli, Bettina
000186331 700__ $$0242122$$g191699$$aNicotina, Ludovico
000186331 700__ $$aSimoni, Silvia
000186331 700__ $$0241123$$g136301$$aBarrenetxea, Guillermo
000186331 700__ $$aSmith, Russel
000186331 700__ $$aParlange, Marc$$g155043$$0242902
000186331 700__ $$aRinaldo, Andrea$$g182281$$0240022
000186331 773__ $$j55$$tAdvances in Water Resources$$q149-164
000186331 8564_ $$uhttps://infoscience.epfl.ch/record/186331/files/AWR_Tobin_et_al_May2013.pdf$$zPublisher's version$$s3117182$$yPublisher's version
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