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Who benefits from climate forecasts?

Author

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  • A. Pfaff

    (School of International and Public Affairs, and Center for Environmental Research and Conservation, Columbia University
    International Research Institute for Climate Prediction, Lamont-Doherty Earth Observatory of Columbia University
    Environmental and Social Impacts Group, National Center for Atmospheric Research)

  • K. Broad

    (School of International and Public Affairs, and Center for Environmental Research and Conservation, Columbia University
    International Research Institute for Climate Prediction, Lamont-Doherty Earth Observatory of Columbia University
    Environmental and Social Impacts Group, National Center for Atmospheric Research)

  • M. Glantz

    (School of International and Public Affairs, and Center for Environmental Research and Conservation, Columbia University
    International Research Institute for Climate Prediction, Lamont-Doherty Earth Observatory of Columbia University
    Environmental and Social Impacts Group, National Center for Atmospheric Research)

Abstract

The effective and equitable dissemination of climate forecasts is as important and challenging as their accuracy. During El Niño 1997-98, Peruvian fisheries showed the need to understand forecast use and all parties' interests.

Suggested Citation

  • A. Pfaff & K. Broad & M. Glantz, 1999. "Who benefits from climate forecasts?," Nature, Nature, vol. 397(6721), pages 645-646, February.
  • Handle: RePEc:nat:nature:v:397:y:1999:i:6721:d:10.1038_17676
    DOI: 10.1038/17676
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    Citations

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    Cited by:

    1. Hansen, James W., 2002. "Realizing the potential benefits of climate prediction to agriculture: issues, approaches, challenges," Agricultural Systems, Elsevier, vol. 74(3), pages 309-330, December.
    2. Cao, Juan & Zhang, Zhao & Tao, Fulu & Chen, Yi & Luo, Xiangzhong & Xie, Jun, 2023. "Forecasting global crop yields based on El Nino Southern Oscillation early signals," Agricultural Systems, Elsevier, vol. 205(C).
    3. Sardorbek Musayev & Jonathan Mellor & Tara Walsh & Emmanouil Anagnostou, 2021. "Development of an Agent-Based Model for Weather Forecast Information Exchange in Rural Area of Bahir Dar, Ethiopia," Sustainability, MDPI, vol. 13(9), pages 1-21, April.
    4. Sarah Murphy & Richard Washington & Thomas Downing & Randall Martin & Gina Ziervogel & Anthony Preston & Martin Todd & Ruth Butterfield & Jim Briden, 2001. "Seasonal Forecasting for Climate Hazards: Prospects and Responses," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 23(2), pages 171-196, March.
    5. Walter Falcon & Rosamond Naylor & Whitney Smith & Marshall Burke & Ellen McCullough, 2004. "Using climate models to improve Indonesian food security," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 40(3), pages 355-377.
    6. Shrader, Jeffrey, 2014. "Forecasts and Adaptation," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170626, Agricultural and Applied Economics Association.
    7. Sarah Alexander & Ezana Atsbeha & Selam Negatu & Kristen Kirksey & Dominique Brossard & Elizabeth Holzer & Paul Block, 2020. "Development of an interdisciplinary, multi-method approach to seasonal climate forecast communication at the local scale," Climatic Change, Springer, vol. 162(4), pages 2021-2042, October.
    8. Javier Tomasella & Patrícia Pinho & Laura Borma & José Marengo & Carlos Nobre & Olga Bittencourt & Maria Prado & Daniel Rodriguez & Luz Cuartas, 2013. "The droughts of 1997 and 2005 in Amazonia: floodplain hydrology and its potential ecological and human impacts," Climatic Change, Springer, vol. 116(3), pages 723-746, February.
    9. Jagger, Pamela & White, William & Sedjo, Roger A., 1999. "El Nino, Ice Storms, and the Market for Residential Fuelwood in Eastern Canada and the Northeastern U.S," Discussion Papers 10535, Resources for the Future.
    10. Sanchirico, James, 2004. "A Social Scientist's Perspective on the Potential Benefits of the Census of Marine Life," RFF Working Paper Series dp-04-23-rev, Resources for the Future.
    11. Rosamond Naylor & Walter Falcon & Nikolas Wada & Daniel Rochberg, 2002. "Using El Nino-Southern Oscillation Climate Data To Improve Food Policy Planning In Indonesia," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 38(1), pages 75-91.
    12. Miguel A. Carriquiry & Walter E. Baethgen, 2016. "Seasonal Climate Forecasts and Agricultural Risk Management: Implications for Insurance Design," Documentos de Trabajo (working papers) 16-03, Instituto de Economía - IECON.
    13. Sheriff, Glenn & Osgood, Daniel E., 2005. "Shepherd's Dilemma," 2005 Annual meeting, July 24-27, Providence, RI 19340, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Phillips, J. G. & Deane, D. & Unganai, L. & Chimeli, A., 2002. "Implications of farm-level response to seasonal climate forecasts for aggregate grain production in Zimbabwe," Agricultural Systems, Elsevier, vol. 74(3), pages 351-369, December.
    15. Carla Roncoli & Benjamin Orlove & Merit Kabugo & Milton Waiswa, 2011. "Cultural styles of participation in farmers’ discussions of seasonal climate forecasts in Uganda," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 28(1), pages 123-138, February.
    16. Neville Nicholls, 2001. "Atmospheric and Climatic Hazards: Improved Monitoring and Prediction for Disaster Mitigation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 23(2), pages 137-155, March.
    17. Meinzen-Dick, Ruth Suseela & Bernier, Quinn & Haglund, Eric, 2013. "The six "ins" of climate-smart agriculture: Inclusive institutions for information, innovation, investment, and insurance," CAPRi working papers 114, International Food Policy Research Institute (IFPRI).
    18. Antony Millner, 2012. "Climate prediction for adaptation: Who needs what?," Climatic Change, Springer, vol. 110(1), pages 143-167, January.
    19. Sedjo, Roger & Jagger, Pamela & White, William, 1999. "El Niño, Ice Storms, and the Market for Residential Fuelwood in Eastern Canada and the Northeastern U.S," RFF Working Paper Series dp-99-44, Resources for the Future.
    20. Ashley R. Coles & Christopher A. Scott, 2009. "Vulnerability and adaptation to climate change and variability in semi‐arid rural southeastern Arizona, USA," Natural Resources Forum, Blackwell Publishing, vol. 33(4), pages 297-309, November.

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