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Downscaling CGCM Climate Change Output Scenario Using the Artificial Neural Network Model

Boosik, K. / Jeong-Seok, Y. / International Association of Hydraulic Engineering and Research

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Downscaling CGCM Climate Change Output Scenario Using the Artificial Neural Network Model

Boosik, K. / Jeong-Seok, Y. / International Association of Hydraulic Engineering and Research

Downscaling CGCM Climate Change Output Scenario Using the Artificial Neural Network Model

Boosik, K. / Jeong-Seok, Y. / International Association of Hydraulic Engineering and Research

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Titel:

Downscaling CGCM Climate Change Output Scenario Using the Artificial Neural Network Model

Beteiligte:

Boosik, K. (Autor:in) / Jeong-Seok, Y. (Autor:in) / International Association of Hydraulic Engineering and Research

Kongress:

Congress; 33rd, International Association of Hydraulic Engineering and Research; Water engineering for a sustainable environment ; 2009 ; Vancouver, Canada

Erschienen in:

International Association of Hydraulic Engineering and Research; Water engineering for a sustainable environment ; TS201

PROCEEDINGS OF THE CONGRESS- INTERNATIONAL ASSOCIATION FOR HYDRAULIC RESEARCH

Erscheinungsdatum:

01.01.2009

Format / Umfang:

TS201

Anmerkungen:

Collocated with the 19th Canadian Hydrotechnical Conference; Held in e-store (RMS)

ISBN:

9789078046080

Medientyp:

Aufsatz (Konferenz)

Format:

Sprache:

Englisch

Schlagwörter:

Hydraulic engineering , IAHR , Hydrotechnical

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