Collaboration of the Weather and Climate Communities to Advance Subseasonal-to-Seasonal Prediction
By Gilbert Brunet, Melvyn Shapiro, B. Hoskins, M. Moncrieff, R. Dole, G. Kiladis, B. Kirtman, A. Lorenc, Brian Mills, Rebecca Morss and 4 more. 2010
201 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/a52ac869c033ef4cf2719644084d1699e64b7ebd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Duane Waliser
- Hye-Mi Kim
- F. Vitart
- Andrew Robertson
- K. Pegion
- Holger Meinke
- J. M. itchell
- Arun Kumar
In Global and Planetary Change
In Oceanography
Citations in the corpus
- Unified Modeling and Prediction of Weather and Climate: A 25-Year Journey (2012, background): “T he concept of a unified or seamless framework for weather and climate prediction has attracted a lot of attention in the last few years (Hurrell et al. 2009; Brunet et al. 2010; Shapiro et al. 2010; Nobre et al. 2010; Hazeleger et al. 2010; Senior et al. 2011).”
- Potential applications of subseasonal‐to‐seasonal (S2S) predictions (2017, background): “While weather forecasts have been proved to be useful for short-term decision-making (Brunet et al., 2010), short-range weather forecasting, where predictability mainly comes from initial atmospheric conditions, has fundamental physical limits (i.”
- The quiet revolution of numerical weather prediction (2015, methodology): “Coupled data assimilation will become critical for the initialization of the future coupled models 89 .”
- Prediction of the Madden–Julian Oscillation: A Review (2018, background): “The anomaly correlation metric computes the correlation between one ensemble member considered as the truth and the rest of the ensemble members (Buizza 1997; Pegion and Kirtman 2008; Kim et al. 2014; Xiang et al. 2015; Liu et al. 2017;Wheeler et al. 2017b).”