Full-flow-regime storage-streamflow correlation patterns provide insights into hydrologic functioning over the continental US

Water Resources Research

Volumn 53, Issue 9, 2017, Pages 8064-8083

  Fang, Kuai ^a   Shen, Chaopeng ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

base flow; catchment classification; GRACE; hydrologic machine learning; hydrologic signature; storage streamflow relationship

Indexed keywords

CATCHMENTS; DATA MINING; FLOOD CONTROL; FLOODS; GEODETIC SATELLITES; GROUNDWATER; GROUNDWATER FLOW; LEARNING SYSTEMS; MARINE SIGNAL SYSTEMS; RUNOFF; SOILS; STREAM FLOW;

BASEFLOWS; CATCHMENT CLASSIFICATIONS; COMPLEX RELATIONSHIPS; GRACE; GRAVITY RECOVERY AND CLIMATE EXPERIMENT SATELLITES; HYDROLOGIC SIGNATURE; SUBSURFACE PROPERTIES; TERRESTRIAL WATER STORAGE;

DIGITAL STORAGE;

BASEFLOW; CATCHMENT; CLASSIFICATION; CORRELATION; DATA MINING; FLOW PATTERN; GRACE; GROUNDWATER FLOW; HYDROLOGICAL REGIME; HYDROLOGICAL RESPONSE; MACHINE LEARNING; SATELLITE DATA; STREAMFLOW; WATER STORAGE;

APPALACHIAN PLATEAU; GREAT PLAINS; UNITED STATES;

EID: 85030170711     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2016WR020283     Document Type: Article

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