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dc.contributor.authorMcColl, Kaighin A.
dc.contributor.authorHaghighi, Erfan
dc.contributor.authorSalvucci, Guido D.
dc.contributor.authorAkbar, Ruzbeh
dc.contributor.authorGianotti, Daniel J
dc.contributor.authorEntekhabi, Dara
dc.date.accessioned2018-12-03T19:48:20Z
dc.date.available2018-12-03T19:48:20Z
dc.date.issued2018-04
dc.date.submitted2017-10
dc.identifier.issn1525-755X
dc.identifier.issn1525-7541
dc.identifier.urihttp://hdl.handle.net/1721.1/119399
dc.description.abstractThis study presents an observation-driven technique to delineate the dominant boundaries and temporal shifts between different hydrologic regimes over the contiguous United States (CONUS). The energy- and water-limited evapotranspiration regimes as well as percolation to the subsurface are hydrologic processes that dominate the loss of stored water in the soil following precipitation events. Surface soil moisture estimates from the NASA Soil Moisture Active Passive (SMAP) mission, over three consecutive summer seasons, are used to estimate the soil water loss function. Based on analysis of the rates of soil moisture dry-downs, the loss function is the conditional expectation of negative increments in the soil moisture series conditioned on soil moisture itself. An unsupervised classification scheme (with cross validation) is then implemented to categorize regions according to their dominant hydrological regimes based on their estimated loss functions. An east-west divide in hydrologic regimes over CONUS is observed with large parts of the western United States exhibiting a strong water-limited evapotranspiration regime during most of the times. The U.S. Midwest and Great Plains show transitional behavior with both water- and energy-limited regimes present. Year-to-year shifts in hydrologic regimes are also observed along with regional anomalies due to moderate drought conditions or above-average precipitation. The approach is based on remotely sensed surface soil moisture (approximately top 5 cm) at a resolution of tens of kilometers in the presence of soil texture and land cover heterogeneity. The classification therefore only applies to landscape-scale effective conditions and does not directly account for deeper soil water storage.en_US
dc.publisherAmerican Meteorological Societyen_US
dc.relation.isversionofhttp://dx.doi.org/10.1175/JHM-D-17-0200.1en_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.sourceAmerican Meteorological Societyen_US
dc.titleEstimation of Landscape Soil Water Losses from Satellite Observations of Soil Moistureen_US
dc.typeArticleen_US
dc.identifier.citationAkbar, Ruzbeh et al. “Estimation of Landscape Soil Water Losses from Satellite Observations of Soil Moisture.” Journal of Hydrometeorology 19, 5 (May 2018): 871–889 © 2018 American Meteorological Societyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciencesen_US
dc.contributor.mitauthorAkbar, Ruzbeh
dc.contributor.mitauthorGianotti, Daniel J
dc.contributor.mitauthorEntekhabi, Dara
dc.relation.journalJournal of Hydrometeorologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-12-03T17:28:50Z
dspace.orderedauthorsAkbar, Ruzbeh; Short Gianotti, Daniel J.; McColl, Kaighin A.; Haghighi, Erfan; Salvucci, Guido D.; Entekhabi, Daraen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-9963-0488
dc.identifier.orcidhttps://orcid.org/0000-0002-8362-4761
mit.licensePUBLISHER_POLICYen_US


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