Evapotranspiration data assimilation with genetic algorithms and SWAP model for on-demand Irrigation

Irrigation Science

Volumn 28, Issue 1, 2009, Pages 101-112

  Irmak, Ayse ^a,b   Kamble, Baburao ^b  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ASSIMILATION; FIELD SCALE; HIGHER YIELD; HYDROLOGY MODELS; IRRIGATION SCHEDULING; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; ON-DEMAND; OPERATIONAL TOOLS; OPTIMIZED PARAMETER; ROOT MEAN SQUARE; SIMULATION MODEL; SOIL DEPTH; SOIL WATER BALANCE; STATES OF WATER; STOCHASTIC DATA; SURFACE ENERGY BALANCE ALGORITHM FOR LANDS; SURFACE SOIL MOISTURE; SWAP MODEL; UNKNOWN PARAMETERS; WATER USE EFFICIENCY; WHEAT FIELDS;

ATMOSPHERICS; BIOCHEMICAL OXYGEN DEMAND; DATA PROCESSING; EVAPOTRANSPIRATION; GROUNDWATER; IRRIGATION; OPTIMIZATION; RADIOMETERS; REMOTE SENSING; SOIL MOISTURE; STOCHASTIC MODELS; SURFACE CHEMISTRY; SURFACE TENSION; UNDERWATER SOILS; WATER SUPPLY;

GEOLOGIC MODELS;

DATA ASSIMILATION; ENERGY BALANCE; EVAPOTRANSPIRATION; GENETIC ALGORITHM; HYDROLOGY; IRRIGATION SYSTEM; REMOTE SENSING; SOIL MOISTURE; SOIL WATER; WATER BUDGET; WHEAT;

TRITICUM AESTIVUM;

EID: 70350591063     PISSN: 03427188     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00271-009-0193-9     Document Type: Article

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