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Towards a comprehensive characterization of evidence in synthesis assessments: the climate change impacts on the Brazilian water resources

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  • Pablo Borges de Amorim

    (Federal University of Santa Catarina)

  • Pedro B. Chaffe

    (Federal University of Santa Catarina)

Abstract

The Intergovernmental Panel on Climate Change (IPCC) has put a lot of efforts to describe uncertainties and to judge the confidence level of its major conclusions. Despite a guidance to communicate uncertainty, the assignment of confidence is not sufficiently clear and, thus, hard to be reproduced by the extern community. By conducting a synthesis assessment about the impacts of climate change on the Brazilian water resources, we identified an opportunity to illustrate the characterization of evidence as adopted in IPCC reports. We propose a method to describe the evidence from model outputs wherein the quality and amount of studies, as well as the consistency among their conclusions, are subject of a transparent rating procedure. In summary, the more comprehensive the study in sampling uncertainties, the higher its quality. Likewise, the amount and consistency among conclusions is assigned in a systematic way. The method is applied for synthesizing a collection of 42 peer-reviewed articles. It reveals important aspects about the evidence of the potential impacts of climate change in the Brazilian water resources, such as changes into a drier hydrological regime. However, the use of multi-model ensemble, the evaluation of models, and the observational data is limited. The proposed method enables consistent communication of the degree of evidence in a transparent, traceable, and comprehensive fashion. The method can be used as a tool to support experts on their judgment. The approach is reproducible and can guide synthesis work not only in Brazil but anywhere else.

Suggested Citation

  • Pablo Borges de Amorim & Pedro B. Chaffe, 2019. "Towards a comprehensive characterization of evidence in synthesis assessments: the climate change impacts on the Brazilian water resources," Climatic Change, Springer, vol. 155(1), pages 37-57, July.
  • Handle: RePEc:spr:climat:v:155:y:2019:i:1:d:10.1007_s10584-019-02430-9
    DOI: 10.1007/s10584-019-02430-9
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    1. Juan Bravo & Walter Collischonn & Adriano Paz & Daniel Allasia & Federico Domecq, 2014. "Impact of projected climate change on hydrologic regime of the Upper Paraguay River basin," Climatic Change, Springer, vol. 127(1), pages 27-41, November.
    2. de Queiroz, Anderson Rodrigo & Marangon Lima, Luana M. & Marangon Lima, José W. & da Silva, Benedito C. & Scianni, Luciana A., 2016. "Climate change impacts in the energy supply of the Brazilian hydro-dominant power system," Renewable Energy, Elsevier, vol. 99(C), pages 379-389.
    3. Tobias Vetter & Julia Reinhardt & Martina Flörke & Ann Griensven & Fred Hattermann & Shaochun Huang & Hagen Koch & Ilias G. Pechlivanidis & Stefan Plötner & Ousmane Seidou & Buda Su & R. Willem Vervoo, 2017. "Evaluation of sources of uncertainty in projected hydrological changes under climate change in 12 large-scale river basins," Climatic Change, Springer, vol. 141(3), pages 419-433, April.
    4. Gary Yohe & Michael Oppenheimer, 2011. "Evaluation, characterization, and communication of uncertainty by the intergovernmental panel on climate change—an introductory essay," Climatic Change, Springer, vol. 108(4), pages 629-639, October.
    5. Roger Torres & David Lapola & Jose Marengo & Magda Lombardo, 2012. "Socio-climatic hotspots in Brazil," Climatic Change, Springer, vol. 115(3), pages 597-609, December.
    6. Richard H. Moss & Jae A. Edmonds & Kathy A. Hibbard & Martin R. Manning & Steven K. Rose & Detlef P. van Vuuren & Timothy R. Carter & Seita Emori & Mikiko Kainuma & Tom Kram & Gerald A. Meehl & John F, 2010. "The next generation of scenarios for climate change research and assessment," Nature, Nature, vol. 463(7282), pages 747-756, February.
    7. Michael Mastrandrea & Katharine Mach & Gian-Kasper Plattner & Ottmar Edenhofer & Thomas Stocker & Christopher Field & Kristie Ebi & Patrick Matschoss, 2011. "The IPCC AR5 guidance note on consistent treatment of uncertainties: a common approach across the working groups," Climatic Change, Springer, vol. 108(4), pages 675-691, October.
    8. Douglas Maraun & Theodore G. Shepherd & Martin Widmann & Giuseppe Zappa & Daniel Walton & José M. Gutiérrez & Stefan Hagemann & Ingo Richter & Pedro M. M. Soares & Alex Hall & Linda O. Mearns, 2017. "Towards process-informed bias correction of climate change simulations," Nature Climate Change, Nature, vol. 7(11), pages 764-773, November.
    9. S. Eisner & M. Flörke & A. Chamorro & P. Daggupati & C. Donnelly & J. Huang & Y. Hundecha & H. Koch & A. Kalugin & I. Krylenko & V. Mishra & M. Piniewski & L. Samaniego & O. Seidou & M. Wallner & V. K, 2017. "An ensemble analysis of climate change impacts on streamflow seasonality across 11 large river basins," Climatic Change, Springer, vol. 141(3), pages 401-417, April.
    10. Michael Oppenheimer & Christopher M. Little & Roger M. Cooke, 2016. "Expert judgement and uncertainty quantification for climate change," Nature Climate Change, Nature, vol. 6(5), pages 445-451, May.
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