Advancing dynamical prediction of Indian monsoon rainfall

By K. Krishna Kumar, M. Hoerling, Balaji Rajagopalan. 2005

235 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/0ba93267f11fd1b2464d25d7b33a5271afb69aa4

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. B. Kirtman
2. Renguang Wu
3. M. Latif
4. N. Keenlyside
5. June‐Yi Lee
6. Wanqiu Wang
7. J. Shukla
8. Mingyue Chen

In Global and Planetary Change

1. Renguang Wu
2. B. Kirtman
3. M. Latif
4. N. Keenlyside
5. H. Ding
6. June‐Yi Lee
7. Jing‐Jia Luo
8. Wanqiu Wang

In Oceanography

1. B. Kirtman
2. Renguang Wu
3. N. Keenlyside
4. H. Ding
5. Jing‐Jia Luo
6. J. Shukla
7. M. Latif
8. O. Alves

Citations in the corpus

• Potential of equatorial Atlantic variability to enhance El Niño prediction (2012, background): “Second, although simulated tropical atmospheric circulation patterns agree well with observations from boreal summer to winter [Ding et al., 2012], restoring SST strongly to observations may compromise our results [e.g., Krishna Kumar et al., 2005].”
• How are seasonal prediction skills related to models’ performance on mean state and annual cycle? (2010, background): “…simulation (Kitoh and Arakawa 1999; Wang et al. 2004; Wu and Kirtman 2005) and two-tier summer monsoon seasonal prediction (Wang et al. 2005a; Kumar et al. 2005, Nanjundiah et al. 2005; Kug et al. 2008), because the Asian–Australian monsoon is essentially a coupled atmosphere–ocean system…”
• An Assessment of the CFS Real-Time Seasonal Forecasts (2010, result): “…Ocean are consistent with previous studies that have shown that the atmospheric variability in the Indian Ocean is related to the atmosphere–ocean coupled response to remote forcings from the Pacific through the atmospheric bridge (Wang et al. 2005; Wu and Kirtman 2005; Krishna Kumar et al. 2005).”
• Regimes of seasonal air–sea interaction and implications for performance of forced simulations (2007, methodology): “When these atmospheric induced SST anomalies are used to force the model, improper local air–sea relationship appears in some regions and unrealistic atmospheric variability results (Saravanan 1998; Saravanan and McWilliams 1998; Bretherton and Battisti 2000; Wang et al. 2004, 2005; Krishna Kumar e”