Predictability and Prediction Skill of the MJO in Two Operational Forecasting Systems

By Hye-Mi Kim, P. Webster, V. Toma, Daehyun Kim. 2014

140 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/9cda63076f8fc20ca2c88de0614639b82ac18a9d

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

1. Hye-Mi Kim
2. F. Vitart
3. Duane Waliser
4. Chidong Zhang
5. C. DeMott
6. N. Klingaman
7. E. Maloney

In Global and Planetary Change

1. Hye-Mi Kim
2. F. Vitart
3. Duane Waliser
4. Chidong Zhang
5. C. DeMott
6. N. Klingaman
7. E. Maloney

In Oceanography

1. F. Vitart
2. Duane Waliser
3. Hye-Mi Kim

Citations in the corpus

• Prediction of the Madden–Julian Oscillation: A Review (2018, methodology): “MJO propagation in the ECMWF and NCEP CFSv2 is about 158 longitude slower than observation over a 25-day forecast lead 7 https://ams.confex.com/ams/98Annual/meetingapp.cgi/Paper/ 331093. time (Kim et al. 2014).”
• The MJO as a Dispersive, Convectively Coupled Moisture Wave: Theory and Observations (2016, unknown): “…diagrams of Knutson and Weickmann (1987), Hendon and Salby (1994), Wheeler and Kiladis (1999), Roundy and Frank (2004), Kiladis et al. (2005), Straub (2013), and D. Kim et al. (2014) also show a westward migration of the extrema in the MJO-related anomaly fields, similar to that in these 12 panels.”