CONFIDENCE BUILDERS Evaluating Seasonal Climate Forecasts from User Perspectives

238 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Creating usable science: Opportunities and constraints for climate knowledge use and their implications for science policy (2011, methodology): “The timing of climate information release can also be critical for whether or not it is usable (Cash et al., 2006; Changnon and Vonnahme, 2003; Corringham et al., 2008; Hartmann et al., 2002; Lemos et al., 2002; Orlove et al., 2004; Rayner et al., 2005; Ray et al., 2007).”
The rationale behind the success of multi-model ensembles in seasonal forecasting — II. Calibration and combination (2005, background): “Cantelaube and Terres 2005; Challinor et al., 2005; Marletto et al., 2005; Morse et al., 2005) and of the decision-making process of users (Sarewitz et al., 2000; Jochec et al., 2001; Hartmann et al., 2002; Murnane et al., 2002; Archer, 2003).”
Potential applications of subseasonal‐to‐seasonal (S2S) predictions (2017, background): “A lack of information about the accuracy of such forecasts precludes users from making effective use of them, whereas a more thorough understanding of forecast performance may help decision-makers determine how much and when to rely on them (Hartmann et al., 2002).”