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Savin S. Chand, Lynda E. Chambers, Mike Waiwai, Philip Malsale, and Elisabeth Thompson

complete in situ data records, particularly for Southern Hemisphere regions, that are needed for model initialization, calibration, and evaluation may also contribute to forecast uncertainties (e.g., Webster 2013 ). Numerous analytical techniques have been proposed and explored in the past to characterize model forecast uncertainty, minimize forecast errors, and provide probabilistic guidance on the future state of weather and climate for decision making (see Wilks 2006 ). One such tool routinely

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Oluwatoyin Dare Kolawole, Moseki Ronald Motsholapheko, Barbara Ntombi Ngwenya, Olekae Thakadu, Gagoitseope Mmopelwa, and Donald Letsholo Kgathi

forecasting knowledge. The perceptional statements were also analyzed using chi-square tests to determine their associations with household characteristics such as gender, education level, and age of respondents. Qualitative data from the open-ended questions and participant observation were analyzed using theme identification techniques. Responses to specific open-ended questions were collated and themes identified; the interpretation and conclusions were drawn from the emerging themes. 4. Results a

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Sarah E. Vaughn

dredging canals. This system is exemplified by the milling crowds and the compulsory work of foremen, which can become cumbersome along Georgetown’s narrow and many unpaved roads. Days before a forecasted storm, foremen stall traffic with their excavators and block roadways with mounds of debris. Indeed, the drainage grid has historically constituted security and a space for imagining the everyday ( Rodney 1981 ). Its function, however, is dependent on much more than dredging. In recent decades

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Alison M. Meadow, Daniel B. Ferguson, Zack Guido, Alexandra Horangic, Gigi Owen, and Tamara Wall

recognized that solutions must be meaningful within the context of the community and developed the AR approach to collaborate with community members to frame the inquiry, undertake the research, analyze the findings, and take action. “Together, the professional researcher and the stakeholders define the problems to be examined, cogenerate knowledge about them, learn and execute social research techniques, take actions, and interpret the results of actions based on what they have learned” ( Greenwood and

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Laurie Yung, Nicky Phear, Alayna DuPont, Jess Montag, and Daniel Murphy

, 29 – 33 , doi: 10.2111/1551-501X(2008)30[29:CCIONA]2.0.CO;2 . Cooney, C. , 2010 : The perception factor: Climate change gets personal . Environ. Health Perspect. , 118 , A484 – A489 , doi: 10.1289/ehp.118-a484 . Crane, T. , and Coauthors , 2010 : Forecast skill and farmers’ skills: Seasonal climate forecasts and agricultural risk management in the southeastern United States . Wea. Climate Soc. , 2 , 44 – 59 , doi: 10.1175/2009WCAS1006.1 . Gallup , 2015 : Gallup poll social series

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