Mountain Hydrology of the Semi-Arid Western U.S.: = Research Needs, Opportunities and Challenges

From: Subject: Mountain Hydrology of the Semi-Arid Western U.S.: Research Needs, Opportunities and Challenges Date: Sun, 22 May 2005 20:11:56 -0700 MIME-Version: 1.0 Content-Type: multipart/related; type="text/html"; boundary="----=_NextPart_000_0000_01C55F0A.8102E750" X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2900.2180 This is a multi-part message in MIME format. ------=_NextPart_000_0000_01C55F0A.8102E750 Content-Type: text/html; charset="Windows-1252" Content-Transfer-Encoding: quoted-printable Content-Location: http://www.agu.org/cgi-bin/SFgate/SFgate?language=English&verbose=0&listenv=table&application=fm04&convert=&converthl=&refinequery=&formintern=&formextern=&transquery=an%3d%22U51A-04%22&_lines=&multiple=0&descriptor=%2fdata%2fepubs%2fwais%2findexes%2ffm04%2ffm04%7c1000%7c3659%7cMountain%20Hydrology%20of%20the%20Semi-Arid%20Western%20U.S.:%20Research%20Needs%2c%20Opportunities%20and%20Challenges%7cHTML%7clocalhost:0%7c%2fdata%2fepubs%2fwais%2findexes%2ffm04%2ffm04%7c36514833%2036518492%20%2fdata2%2fepubs%2fwais%2fdata%2ffm04%2ffm04.txt Mountain Hydrology of the Semi-Arid Western U.S.: = Research Needs, Opportunities and Challenges

2004 Fall=20 = Meeting
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Cite = abstracts as=20 Author(s) (2004), Title, Eos Trans. AGU,
85(47), = Fall=20 Meet. Suppl., Abstract = xxxxx-xx

Your query was:: an=3D"U51A-04"

HR: 08:45h
AN: U51A-04
TI: Mountain = Hydrology of the=20 Semi-Arid Western U.S.: Research Needs, Opportunities and=20 Challenges
AU: * Bales, R =
EM: rbales@ucmerced.edu
AF: University of=20 California, School of Engineering, Merced, 95344
AU: = Dozier, J
AF: University of = California,=20 Bren School, Santa Barbara, 93106
AU: Molotch, N=20
AF: University of Colorado, CIRES, = Boulder,=20 80309
AU: Painter, T
AF: = University of Colorado, NSIDC, Boulder, 80309 =
AU:=20 Rice, R
AF: University of=20 California, School of Engineering, Merced, 95344
AB: = In the semi-arid Western U.S., water resources are = being stressed=20 by the combination of climate warming, changing land use, and = population=20 growth. Multiple consensus planning documents point to this region = as=20 perhaps the highest priority for new hydrologic understanding. = Three main=20 hydrologic issues illustrate research needs in the snow-driven = hydrology=20 of the region. First, despite the hydrologic importance of = mountainous=20 regions, the processes controlling their energy, water and = biogeochemical=20 fluxes are not well understood. Second, there exists a need to = realize, at=20 various spatial and temporal scales, the feedback systems between=20 hydrological fluxes and biogeochemical and ecological processes. = Third,=20 the paucity of adequate observation networks in mountainous = regions=20 hampers improvements in understanding these processes. For = example, we=20 lack an adequate description of factors controlling the = partitioning of=20 snowmelt into runoff versus infiltration and evapotranspiration, = and need=20 strategies to accurately measure the variability of precipitation, = snow=20 cover and soil moisture. The amount of mountain-block and = mountain-front=20 recharge and how recharge patterns respond to climate variability = are=20 poorly known across the mountainous West. Moreover, hydrologic = modelers=20 and those measuring important hydrologic variables from remote = sensing and=20 distributed in situ sites have failed to bridge rifts between = modeling=20 needs and available measurements. Research and operational = communities=20 will benefit from data fusion/integration, improved measurement = arrays,=20 and rapid data access. For example, the hydrologic modeling = community=20 would advance if given new access to single rather than disparate = sources=20 of bundles of cutting-edge remote sensing retrievals of snow = covered area=20 and albedo, in situ measurements of snow water equivalent and=20 precipitation, and spatio-temporal fields of variables that drive = models.=20 In addition, opportunities exist for the deployment of new = technologies,=20 taking advantage of research in spatially distributed sensor = networks that=20 can enhance data recovery and analysis.
UR: http://ucmeng.net/snri/snho=20
DE: 1719 Hydrology
SC: Union [U]
MN: 2004 AGU Fall=20 Meeting

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