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dc.contributor.authorNg, Gene-Hua Crystal
dc.contributor.authorMcLaughlin, Dennis
dc.contributor.authorEntekhabi, Dara
dc.contributor.authorScanlon, Bridget R.
dc.date.accessioned2013-03-13T20:21:47Z
dc.date.available2013-03-13T20:21:47Z
dc.date.issued2010-07
dc.date.submitted2009-12
dc.identifier.issn0043-1397
dc.identifier.urihttp://hdl.handle.net/1721.1/77900
dc.description.abstract[1] Groundwater recharge is likely to be affected by climate change. In semiarid regions where groundwater resources are often critical, annual recharge rates are typically small and most recharge occurs episodically. Such episodic recharge is uncertain and difficult to predict. This paper analyzes the impacts of different climate predictions on diffuse episodic recharge at a low-relief semiarid rain-fed agricultural area. The analysis relies on a probabilistic approach that explicitly accounts for uncertainties in meteorological forcing and in soil and vegetation properties. An ensemble of recharge forecasts is generated from Monte Carlo simulations of a study site in the southern High Plains, United States. Soil and vegetation parameter realizations are conditioned on soil moisture and soil water chloride observations (Ng et al., 2009). A stochastic weather generator provides realizations of meteorological time series for climate alternatives from different general circulation models. For most climate alternatives, predicted changes in average recharge (spanning −75% to +35%) are larger than the corresponding changes in average precipitation (spanning −25% to +20%). This suggests that amplification of climate change impacts may occur in groundwater systems. Predictions also include varying changes in the frequency and magnitude of recharge events. The temporal distribution of precipitation change (over seasons and rain events) explains most of the variability in predictions of recharge totals and episodic occurrence. The ensemble recharge analysis presented in this study offers a systematic approach to investigating interactions between uncertainty and nonlinearities in episodic recharge.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (award 0121182)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (awards 0530851)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (award 0540259)en_US
dc.language.isoen_US
dc.publisherAmerican Geophysical Unionen_US
dc.relation.isversionofhttp://dx.doi.org/10.1029/2009WR007904en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceMIT web domainen_US
dc.titleProbabilistic analysis of the effects of climate change on groundwater rechargeen_US
dc.typeArticleen_US
dc.identifier.citationNg, Gene-Hua Crystal et al. “Probabilistic Analysis of the Effects of Climate Change on Groundwater Recharge.” Water Resources Research 46.7 (2010): 1-18. CrossRef. Web. Copyright 2010 by the American Geophysical Union.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.mitauthorEntekhabi, Dara
dc.contributor.mitauthorNg, Gene-Hua Crystal
dc.contributor.mitauthorMcLaughlin, Dennis
dc.relation.journalWater Resources Researchen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsNg, Gene-Hua Crystal; McLaughlin, Dennis; Entekhabi, Dara; Scanlon, Bridget R.en
dc.identifier.orcidhttps://orcid.org/0000-0002-8362-4761
mit.licensePUBLISHER_POLICYen_US


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