ENSO Prediction with Markov Models: The Impact of Sea Level
By Y. Xue, A. Leetmaa, M. Ji. 2000
145 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/5b01145f447fe10202e0dbcf92c1dee5140bad3b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
- Michael Ghil
- D. Kondrashov
- B. Kirtman
- Andrew Robertson
- G. Burgers
- F. Jin
- Gillian M. Mimmack
- Dughong Min
In Oceanography
- Michael Ghil
- D. Kondrashov
- G. Burgers
- F. Jin
- Dughong Min
- G. J. van Oldenborgh
- Sergey Kravtsov
- B. Kirtman
Citations in the corpus
- A Hierarchy of Data-Based ENSO Models (2005, background): “Both Johnson et al. (2000b) and Xue et al. (2000) obtained seasonally varying Markov transition matrices for each calendar month.”
- The simplest ENSO recharge oscillator (2005, methodology): “ Xue et al. [2000] and Clarke and van Gorder [2003] present evidence that including seasonality improves the forecast skill of simple models that use upper ocean heat content.”
- Comparison of Some Statistical Methods of Probabilistic Forecasting of ENSO. (2002, background): “…Barnett et al. 1988; Xu and von Storch 1990; Barnston and Ropelewski 1992; Keppenne and Ghil 1992; Penland and Magorian 1993; van den Dool 1994; Xue et al. 1994, 2000; Penland and Sardeshmukh 1995; Knaff and Landsea 1997; Tangang et al. 1997, 1998a,b; Berliner et al. 2000; Landman and Mason…”
- Multimodel Ensemble ENSO Prediction with CCSM and CFS (2009, methodology): “Here we briefly make comparisons of the correlation skill scores among the CGCM forecasts (i.e., CFS, CCSM, and the multimodel) with a readily available operational statistical model (Markov; Xue et al. 2000).”