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<br />706 <br /> <br />. <br /> <br />JOURNAL OF IIYI>RO~ETEOROLOOY <br /> <br />VOI,UMF 7 <br /> <br />were plilCcllUlllT ncar snow courses thai exhihited high <br />C()rTclalinn~ with streamflow (Schaefer and Johnson <br />1t)lJ2), IIntl locations with uniform snow cover thai were <br />thought 10 represent snowpadr. conditions specific 10 <br />the elevation and aspect of thai panicular suhhllsin <br />Walmer 19M). <br />SNOTEL and snow course networks were installed <br />to hoth provido.:: and improve upon prediclions of sea. <br />sonal runoH through point estimates of SWE. The sul>- <br />sequent sCllwna] streamflow forecasts typic.llly have er- <br />ron strongly rdaled 10 the liming and character of pre- <br />cipitation (Pagano cl al. 201M). When climatic. and <br />therefore, slrcamnow. conditions deviate from the <br />long-term mean. forecast errors increase. <br />An alternative 10 stllli!>licnlly hascd forcCHsls is <br />mudel-hased forecasting. Phr;icHlly based hydrologic <br />models (e.g.. Leavesley el al. 20(2) use ;n1erpolalcd <br />prl..-cipitalion and temperature valucs 10 estimate basin <br />conditions (e.g., snowpad., soil moislure, slorage. ele). <br />I>islrihuled eslimates from poinl measuremenls of <br />ground-hased SWE have the pOlentialto improve upon <br />these simulations of basin conditions by adjusting <br />model mass and energy states (Dres....ler et al. 2IX16). <br />Ullimately, this improves prediclions of snowmelt run. <br />off liming and seasonal streamflow volumes. It should <br />he noted, however,thal snow course nelworks were not <br />designed as measures of the abwlute alllounl of SWE <br />in a basin, or 10 yield SWE estimates acros.'. a hasin. <br />However, for Ihe prescnt, these arc the best dala avail- <br />ahle on historical SWE ncross the western United <br />St.ltes. <br />This paper examines spali.ll different."Cs in basin-wide <br />SWE estim,lted using SNOTEL versus snow course <br />data for the Colorado River basin. We firsl compare <br />differences in poinl values al collocated SNOTEL .!Od <br />snow course sites over represenlalivc dry. average, and <br />wet years. To cvalullte differences between the dalasets <br />in eSlimating lolal water resour~"Cs from snow, hasin. <br />scale SWE was estimated using hypsomelric inlerpola- <br />tion of poinl SNOTEL versus snow course measure- <br />ments, and combinations of Ihe two dalasels. Knuwl- <br />edge of spalial diffen..nces between SNOTEI. amI !>now <br />course dala at Ihe poinl and basin !>Cllle will heller in. <br />form appliclItions such as water resource management <br />regarding is..sues of using eilher dal,l !>ource for opera- <br />tions or hydrolugie mudding. <br /> <br />2, Stud) un'u <br /> <br />The Colorado River h:lsin (Fig. I) is over IJ(X) km <br />long and up to 8(X) km wide. The Upper Colorado hasin <br />(Serrele et al. 1<)99) has a dminage area of 277 (XXI kml, <br />an elevation range of 975-4260 m, and an llvenlge e1~ <br /> <br /> <br />, <br />+? <br /> <br />-'"..kloI.rn <br />.Ol.SOO <br />.I.soo-2.500 <br />11:12.soo.),ooo <br />DJ.OOO.uoo <br />D),5OO.4.5OO <br />+ ~El <br /> <br />16J.5 ns <br />, <br /> <br />. -- <br /> <br />1'10. I. A C.,lnrlkln River t..,in tuclIli,," map. <br /> <br />evation of 2150 m, while the Lower Colorado has a <br />draimlgc area of 346 (J()O kml. with an clc~'ation range <br />of 0--3771 m, and an average elevation of 1310 m. Al- <br />most 60% of the Upper Colorado, but only 16% of Ihe <br />Lower Colorado. is aoove 2{J()1) m. More of thl.' annual <br />precipitation in the Upper Colo!iu.lu falls ;l-'i !inllW and is <br />slored throughout the wi Iller seilson than in the Lower <br />Colorado (Scrrele et al. 19'},)). The focus of this paper <br />is the entire Colorado River (623 (KXl kml) IInd three of <br />its suhhasins: Gunnison (21) 5m kml). San Juan (63 7lXl <br />km2l, ,md Sail-Verde (35 IlXl km2) (Fig. I). These ba- <br />sins were chosen to rl.'present large pori ions of snow <br />area for Ihe Upper (Gunnison and S,m Juan) and <br />Lower (Sail-Verde) Colorado, and to represent a range <br />of terrain complexity and forest density. <br /> <br />.\' ()uhl ulld methods <br /> <br />The SNOTEL SWE data arc available for more Ih;m <br />(,(Xl sites lllld !>now course d,lta for nearly 2(XIlI sites in <br />the western United Slales from lhe NRCS (see infor- <br />mation online al hllp:f1www.nrcs.usda.gov). Snow <br />courses provide sn.lp!>huts of SWE lIear the 1st of each <br />month, hased on lhe average of 10 manual lIIe;lsure- <br />men Is al each site. SWE is measured by in'oCrling a <br />hollow aluminum or sleel tube in III the snnw, elllfacting <br />a core. and weighing il. Silme manual snuw ~lurses <br />have been eliminaled as more aultJmaled !>tations have <br />been e!>lah1ished lllld Iheir U'oC in wllter foreeasls ac- <br />cepled. At Ihe SNOTEL sites, snow accumuhlling over <br />II nuid.fiIled pillow forces the nuid into a manomelric <br />column and height changes arc recorded. <br />