Previous Chapter: 9 Modeling
Suggested Citation: "10 Applications and Human Dimensions." National Research Council. 1998. A Scientific Strategy for U.S. Participation in the GOALS (Global Ocean-Atmosphere-Land System) Component of the CLIVAR (Climate Variability and Predictability) Programme. Washington, DC: The National Academies Press. doi: 10.17226/6199.
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Suggested Citation: "10 Applications and Human Dimensions." National Research Council. 1998. A Scientific Strategy for U.S. Participation in the GOALS (Global Ocean-Atmosphere-Land System) Component of the CLIVAR (Climate Variability and Predictability) Programme. Washington, DC: The National Academies Press. doi: 10.17226/6199.
Page 46
Suggested Citation: "10 Applications and Human Dimensions." National Research Council. 1998. A Scientific Strategy for U.S. Participation in the GOALS (Global Ocean-Atmosphere-Land System) Component of the CLIVAR (Climate Variability and Predictability) Programme. Washington, DC: The National Academies Press. doi: 10.17226/6199.
Page 47
Suggested Citation: "10 Applications and Human Dimensions." National Research Council. 1998. A Scientific Strategy for U.S. Participation in the GOALS (Global Ocean-Atmosphere-Land System) Component of the CLIVAR (Climate Variability and Predictability) Programme. Washington, DC: The National Academies Press. doi: 10.17226/6199.
Page 48
Suggested Citation: "10 Applications and Human Dimensions." National Research Council. 1998. A Scientific Strategy for U.S. Participation in the GOALS (Global Ocean-Atmosphere-Land System) Component of the CLIVAR (Climate Variability and Predictability) Programme. Washington, DC: The National Academies Press. doi: 10.17226/6199.
Page 49
Suggested Citation: "10 Applications and Human Dimensions." National Research Council. 1998. A Scientific Strategy for U.S. Participation in the GOALS (Global Ocean-Atmosphere-Land System) Component of the CLIVAR (Climate Variability and Predictability) Programme. Washington, DC: The National Academies Press. doi: 10.17226/6199.
Page 50
Next Chapter: 11 Data Management
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