481
hydrological modeling systems. Journal of Geophysical Research, 109(D07S90). https://doi.
org/10.1029/2003JD003823.
Miralles-Wilhelm, F. (2016). Development and application of integrative modeling tools in support
of food-energy-water nexus planning—A research agenda. Journal of Environmental Studies
and Sciences. https://doi.org/10.1007/s13412-016-0361-1.
Mohtar, R. H. (2017). Making the leap into the nexus: Changing nexus. Presentation at the
Watershed conference, Vatican City, 22 Mar 2017.
Mohtar, R. H., & Daher, B. (2016). Water–energy–food nexus framework for facilitating multistakeholder dialogue. Water International. https://doi.org/10.1080/02508060.2016.1149759.
Mushtaq, S., Maraseni, T. N., Maroulis, J., & Hafeez, M. (2009). Energy and water tradeoffs in
enhancing food security: A selective international assessment. Energy Policy, 37, 3635–3644.
Owe, M., de Jeu, R., & Walker, J. P. (2001). A methodology for surface soil moisture and vegetation
optical depth retrieval using the microwave polarization difference index. IEEE Transactions
on Geoscience and Remote, 39(8), 1643–1654.
Pahl-Wostl, C. (2009). A conceptual framework for analysing adaptive capacity and multi-level
learning processes in resource governance regimes. Global Environmental Change, 19,
354–365.
Pelekis, N., Andrienko, G., Andrienko, N., Kopanakis, I., Marketos, G., & Theodoridis, Y.
(2012). Visually exploring movement data via similarity-based analysis. Journal of Intelligent
Information Systems, 38(2), 343–391.
Potter, K., Wilson, A., Bremer, P.-T., Williams, D., Doutriaux, C., Pascucci, V., & Johnson, C.
(2009a). Visualization of uncertainty and ensemble data: Exploration of climate modeling
and weather forecast data with integrated visus-cdat systems. Journal of Physics: Conference
Series, 180, 012089, IOP Publishing.
Potter, K., Wilson, A., Bremer, P.-T., Williams, D., Doutriaux, C., Pascucci, V., & Johnson, C.
(2009b). Ensemble-vis: A framework for the statistical visualization of ensemble data. In IEEE
international conference on data mining workshops (pp. 233–240). Miami, FL: IEEE.
Rienecker, M. M., Suarez, M. J., Gelaro, R., Todling, R., Bacmeister, J., Liu, E., & Bosilovich,
M. G. (2011). MERRA – NASA’s modern-era retrospective analysis for research and applications. Journal of Climate, 24, 3624–3648.
Roy, B. (1993). Decision science or decision-aid science? European Journal of Operational
Research, 66(2), 184–203.
Sanyal, J., Zhang, S., Dyer, J., Mercer, A., Amburn, P., & Moorhead, R. (2010). Noodles: A tool
for visualization of numerical weather model ensemble uncertainty. IEEE Transactions on
Visualization and Computer Graphics, 16(6), 1421–1430.
Scott, C. A., Pierce, S. A., Pasqualetti, M. J., Jones, A. L., Montz, B. E., & Hoover, J. H. (2011).
Policy and institutional dimensions of the water–energy nexus. Energy Policy, 39(10),
6622–6630.
Serrat-Capdevila, A., Browning-Aiken, A., Lansey, K., Finan, T., & Valdes, J. B. (2009). Increasing
social–ecological resilience by placing science at the decision table: The role of the San Pedro
Basin (Arizona) decision-support system model. Ecology and Society, 14(1), 37.
Serrat-Capdevila, A., Valdes, J. B., & Gupta, H. V. (2011). Decision support systems in water
resources planning and management: Stakeholder participation and the sustainable path to
science-based decision making. In C. Jao (Ed.), Efficient decision support systems—Practice
and challenges from current to future (pp. 423–440). Rijeka, Croatia: InTech.
Simon, H. A. (1960). The new science of management decision. New York: HarperCollins.
Smith, D. W., Welch, M., Bennett, K. E., Padgham, J., & Mohtar, R. (2017). Building a WEF
Nexus Community of Practice (NCoP). Current Sustainable/Renewable Energy Reports, 4(3),
168–172. Springer.. https://doi.org/10.1007/s40518-017-0080-6.
Star, S. L., & Griesemer, J. R. (1989). Institutional ecology, ‘translations’ and boundary objects:
Amateurs and professionals in Berkeley’s Museum of Vertebrate Zoology, 1907–1939. Social
Studies of Science, 19(3), 387–420.
Tapley, B. D., Bettadpur, S., Ries, J. C., Thompson, P. F., & Watkins, M. M. (2004). GRACE measurements of mass variability in the earth system. Science, 305, 503–505.
17 Applying Science to Practice
hydrological modeling systems. Journal of Geophysical Research, 109(D07S90). https://doi.
org/10.1029/2003JD003823.
Miralles-Wilhelm, F. (2016). Development and application of integrative modeling tools in support
of food-energy-water nexus planning—A research agenda. Journal of Environmental Studies
and Sciences. https://doi.org/10.1007/s13412-016-0361-1.
Mohtar, R. H. (2017). Making the leap into the nexus: Changing nexus. Presentation at the
Watershed conference, Vatican City, 22 Mar 2017.
Mohtar, R. H., & Daher, B. (2016). Water–energy–food nexus framework for facilitating multistakeholder dialogue. Water International. https://doi.org/10.1080/02508060.2016.1149759.
Mushtaq, S., Maraseni, T. N., Maroulis, J., & Hafeez, M. (2009). Energy and water tradeoffs in
enhancing food security: A selective international assessment. Energy Policy, 37, 3635–3644.
Owe, M., de Jeu, R., & Walker, J. P. (2001). A methodology for surface soil moisture and vegetation
optical depth retrieval using the microwave polarization difference index. IEEE Transactions
on Geoscience and Remote, 39(8), 1643–1654.
Pahl-Wostl, C. (2009). A conceptual framework for analysing adaptive capacity and multi-level
learning processes in resource governance regimes. Global Environmental Change, 19,
354–365.
Pelekis, N., Andrienko, G., Andrienko, N., Kopanakis, I., Marketos, G., & Theodoridis, Y.
(2012). Visually exploring movement data via similarity-based analysis. Journal of Intelligent
Information Systems, 38(2), 343–391.
Potter, K., Wilson, A., Bremer, P.-T., Williams, D., Doutriaux, C., Pascucci, V., & Johnson, C.
(2009a). Visualization of uncertainty and ensemble data: Exploration of climate modeling
and weather forecast data with integrated visus-cdat systems. Journal of Physics: Conference
Series, 180, 012089, IOP Publishing.
Potter, K., Wilson, A., Bremer, P.-T., Williams, D., Doutriaux, C., Pascucci, V., & Johnson, C.
(2009b). Ensemble-vis: A framework for the statistical visualization of ensemble data. In IEEE
international conference on data mining workshops (pp. 233–240). Miami, FL: IEEE.
Rienecker, M. M., Suarez, M. J., Gelaro, R., Todling, R., Bacmeister, J., Liu, E., & Bosilovich,
M. G. (2011). MERRA – NASA’s modern-era retrospective analysis for research and applications. Journal of Climate, 24, 3624–3648.
Roy, B. (1993). Decision science or decision-aid science? European Journal of Operational
Research, 66(2), 184–203.
Sanyal, J., Zhang, S., Dyer, J., Mercer, A., Amburn, P., & Moorhead, R. (2010). Noodles: A tool
for visualization of numerical weather model ensemble uncertainty. IEEE Transactions on
Visualization and Computer Graphics, 16(6), 1421–1430.
Scott, C. A., Pierce, S. A., Pasqualetti, M. J., Jones, A. L., Montz, B. E., & Hoover, J. H. (2011).
Policy and institutional dimensions of the water–energy nexus. Energy Policy, 39(10),
6622–6630.
Serrat-Capdevila, A., Browning-Aiken, A., Lansey, K., Finan, T., & Valdes, J. B. (2009). Increasing
social–ecological resilience by placing science at the decision table: The role of the San Pedro
Basin (Arizona) decision-support system model. Ecology and Society, 14(1), 37.
Serrat-Capdevila, A., Valdes, J. B., & Gupta, H. V. (2011). Decision support systems in water
resources planning and management: Stakeholder participation and the sustainable path to
science-based decision making. In C. Jao (Ed.), Efficient decision support systems—Practice
and challenges from current to future (pp. 423–440). Rijeka, Croatia: InTech.
Simon, H. A. (1960). The new science of management decision. New York: HarperCollins.
Smith, D. W., Welch, M., Bennett, K. E., Padgham, J., & Mohtar, R. (2017). Building a WEF
Nexus Community of Practice (NCoP). Current Sustainable/Renewable Energy Reports, 4(3),
168–172. Springer.. https://doi.org/10.1007/s40518-017-0080-6.
Star, S. L., & Griesemer, J. R. (1989). Institutional ecology, ‘translations’ and boundary objects:
Amateurs and professionals in Berkeley’s Museum of Vertebrate Zoology, 1907–1939. Social
Studies of Science, 19(3), 387–420.
Tapley, B. D., Bettadpur, S., Ries, J. C., Thompson, P. F., & Watkins, M. M. (2004). GRACE measurements of mass variability in the earth system. Science, 305, 503–505.
17 Applying Science to Practice