Cluster Analysis of Typhoon Tracks. Part II: Large-Scale Circulation and ENSO
By Suzana J. Camargo, Andrew Robertson, Scott Gaffney, Padhraic Smyth, Michael Ghil. 2007
316 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/baff81ad166246b07673509c9747f8fa6b72ae78
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
- Vipin Kumar
- D. Kondrashov
- Arindam Banerjee
- Michael Ghil
- James H. Faghmous
- Mickaël D. Chekroun
- Katharine Hayhoe
- D. Wuebbles
In Global and Planetary Change
- Vipin Kumar
- Michael Ghil
- Mickaël D. Chekroun
- D. Kondrashov
- James H. Faghmous
- Arindam Banerjee
- Auroop Ratan Ganguly
- Evan Kodra
In Oceanography
Citations in the corpus
- Data-driven non-Markovian closure models (2014, background): “In climate dynamics, the prediction of the El Niño-Southern Oscillation (ENSO) has attracted increased attention during the past decades, since ENSO constitutes the dominant mode of interannual climate variability, with major global impacts on temperature, precipitation, tropical cyclones, and human”
- Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques (2014, background): “…(Overpeck et al., 2011) and climate data mining research continues to improve (Smyth et al., 1999; Robertson et al. 2004, 2006; Khan et al., 2006; Camargo et al., 2007a, b; Gaffney et al., 2007), new opportunities will emerge (e.g., Schneider et al., 2013; Monteleoni et al., 2013; Ganguly et…”