Using data assimilation to identify diffuse recharge mechanisms from chemical and physical data in the unsaturated zone

Water Resources Research

Volumn 45, Issue 9, 2009, Pages

  Ng, Gene Hua Crystal ^a   McLaughlin, Dennis ^a   Entekhabi, Dara ^a   Scanlon, Bridget ^b  

^a Massachusetts Institute of Technology Cambridge   (United States)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTECEDENT SOIL MOISTURE; CHLORIDE TRACERS; CLIMATIC VARIABILITY; CONTROL MECHANISM; CROP ROOTS; DATA ASSIMILATION; DATA ASSIMILATION METHODS; GROUND WATER RECHARGE; GROUNDWATER SUPPLY; HIGH TEMPORAL RESOLUTION; HIGHLY SENSITIVE; INTERANNUAL VARIABILITY; LAND-USE CHANGE; MODEL ERRORS; MODEL PREDICTION; MOISTURE FLUXES; NUMERICAL MODELING; PHYSICAL DATA; POINT VALUE; PROBABILISTIC APPROACHES; RAINY WINTERS; RECHARGE ESTIMATES; RECHARGE MECHANISMS; RECHARGE RATES; SEMI-ARID ENVIRONMENTS; SPRING PRECIPITATION; STUDY SITES; TEMPORAL RESOLUTION; TIME-SCALES; UNSATURATED ZONE; VEGETATION PROPERTIES;

CHLORINE COMPOUNDS; DATA PROCESSING; GROUNDWATER RESOURCES; HYDROGEOLOGY; LAND USE; NICKEL COMPOUNDS; PROBABILITY DISTRIBUTIONS; PROCESS CONTROL; SOIL MOISTURE; SOLVENTS; TIME SERIES; VEGETATION; WATER SUPPLY;

RECHARGING (UNDERGROUND WATERS);

ANNUAL VARIATION; CHLORIDE; CLIMATE EFFECT; DATA ASSIMILATION; DIFFUSION; EL NINO; EVAPOTRANSPIRATION; LAND USE CHANGE; MOISTURE FLUX; PROBABILITY; RECHARGE; SEMIARID REGION; SOIL MOISTURE; STATISTICAL DISTRIBUTION; TRACER; VADOSE ZONE; WATER SUPPLY;

GREAT PLAINS; UNITED STATES;

EID: 72149134642     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2009WR007831     Document Type: Article

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