Estimation of future reference evapotranspiration using artificial neural network and climate change scenario

American Society of Agricultural and Biological Engineers Annual International Meeting 2010, ASABE 2010

Volumn 7, Issue , 2010, Pages 5965-5976

  Lee, Eun Jeong ^a   Kang, Moon Seong ^a   Park, Seung Woo ^a   Kim, Hak Kwan ^b  

^a Seoul National University   (South Korea)

^b Seoul National University   (South Korea)

Author keywords

Artificial neural networks; Climate change; Evapotranspiration; FAO penman monteith; LARS WG

Indexed keywords

CLIMATE MODELS; CROPS; ENGINEERS; ESTIMATION; EVAPOTRANSPIRATION; NEURAL NETWORKS; STOCHASTIC MODELS; SUN; WATER SUPPLY;

AGRICULTURAL WATER; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; CLIMATE CHANGE SCENARIOS; CLIMATE FACTORS; COUPLED MODELS; CROP EVAPOTRANSPIRATION; FOOD AND AGRICULTURE ORGANIZATIONS; FUTURE CLIMATE; INPUT PARAMETER; LARS-WG; MAXIMUM TEMPERATURE; PENMAN-MONTEITH; PENMAN-MONTEITH EQUATIONS; REFERENCE CROP EVAPOTRANSPIRATIONS; REFERENCE EVAPOTRANSPIRATION; RESEARCH STATIONS; STOCHASTIC WEATHER GENERATOR; TARGET VALUES; WEATHER GENERATOR;

CLIMATE CHANGE;

EID: 78649709726     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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