The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
RAMA: The Research Moored Array for African–Asian–Australian Monsoon Analysis and Prediction*
Open accessAbstract
The Indian Ocean is unique among the three tropical ocean basins in that it is blocked at 25°N by the Asian landmass. Seasonal heating and cooling of the land sets the stage for dramatic monsoon wind reversals, strong ocean-atmosphere interactions, and intense seasonal rains over the Indian subcontinent, Southeast Asia, East Africa, and Australia. Recurrence of these monsoon rains is critical to agricultural production that supports a third of the world's population. The Indian Ocean also remotely influences the evolution of El Nino-Southern Oscillation (ENSO), the North Atlantic Oscillation (NAO), North American weather, and hurricane activity. Despite its importance in the regional and global climate system though, the Indian Ocean is the most poorly observed and least well understood of the three tropical oceans. This article describes the Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction (RAMA), a new observational network designed to address outstanding scientific questions related to Indian Ocean variability and the monsoons. RAMA is a multinationally supported element of the Indian Ocean Observing System (IndOOS), a combination of complementary satellite and in situ measurement platforms for climate research and forecasting. The article discusses the scientific rationale, design criteria, and implementation of the array. Initial RAMA data are presented to illustrate how they contribute to improved documentation and understanding of phenomena in the region. Applications of the data for societal benefit are also described.
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The NCEP/NCAR 40-Year Reanalysis Project
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., et al. (1996) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1996)077<0437:tnyrp>2.0.co;2 · Cited by 28,360
Uppala, S. M., KÅllberg, P. W., Simmons, A. J., Andrae, U., Bechtold, V. D. C., Fiorino, M., Gibson, J. K., Haseler, J., Hernandez, A., Kelly, G. A., et al. (2005) · Quarterly Journal of the Royal Meteorological Society · doi:10.1256/qj.04.176 · Cited by 6,804
A dipole mode in the tropical Indian Ocean
Saji, N. H., Goswami, B. N., Vinayachandran, P. N., & Yamagata, T. (1999) · Nature · doi:10.1038/43854 · Cited by 5,510
An Improved In Situ and Satellite SST Analysis for Climate
Reynolds, R. W., Rayner, N. A., Smith, T. M., Stokes, D. C., & Wang, W. (2002) · Journal of Climate · doi:10.1175/1520-0442(2002)015<1609:aiisas>2.0.co;2 · Cited by 4,559
Zhang, C. (2005) · Reviews of Geophysics · doi:10.1029/2004rg000158 · Cited by 2,178
Coupled ocean–atmosphere dynamics in the Indian Ocean during 1997–98
Webster, P. J., Moore, A. M., Loschnigg, J. P., & Leben, R. R. (1999) · Nature · doi:10.1038/43848 · Cited by 2,144
Observations of the 40–50-Day Tropical Oscillation—A Review
Madden, R. A., & Julian, P. R. (1994) · Monthly Weather Review · doi:10.1175/1520-0493(1994)122<0814:ootdto>2.0.co;2 · Cited by 1,905
The monsoon circulation of the Indian Ocean
Schott, F. A., & McCreary, J. P. (2001) · Progress in Oceanography · doi:10.1016/s0079-6611(01)00083-0 · Cited by 1,798
On the Weakening Relationship Between the Indian Monsoon and ENSO
Kumar, K. K., Rajagopalan, B., & Cane, M. A. (1999) · Science · doi:10.1126/science.284.5423.2156 · Cited by 1,575
Indian Ocean circulation and climate variability
Schott, F. A., Xie, S., & McCreary, J. P. (2009) · Reviews of Geophysics · doi:10.1029/2007rg000245 · Cited by 1,563
Cited by
ICOADS Release 2.5: extensions and enhancements to the surface marine meteorological archive
Woodruff, S. D., Worley, S. J., Lubker, S. J., Ji, Z., Eric Freeman, J., Berry, D. I., Brohan, P., Kent, E. C., Reynolds, R. W., Smith, S. R., et al. (2011) · International Journal of Climatology · doi:10.1002/joc.2103 · Cited by 462
Kato, S., Loeb, N. G., Rose, F. G., Doelling, D. R., Rutan, D. A., Caldwell, T. E., Yu, L., & Weller, R. A. (2013) · Journal of Climate · doi:10.1175/jcli-d-12-00436.1 · Cited by 437
Self-citationEmbury, O., Merchant, C. J., & Corlett, G. K. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.02.028 · Cited by 97
The importance of the greater Agulhas Current is increasingly being recognised
Lutjeharms, J. R. E., & Bornman, T. G. (2010) · South African Journal of Science · doi:10.4102/sajs.v106i3/4.160 · Cited by 20
Metadata
- Authors
- McPhaden, M. J., Meyers, G., Ando, K., Masumoto, Y., Murty, V. S. N., Ravichandran, M., Syamsudin, F., Vialard, J., Yu, L., & Yu, W.
- Venue
- Bulletin of the American Meteorological Society
- Publisher
- American Meteorological Society
- Published
- 2009-04
- Volume
- 90
- Issue
- 4
- Pages
- 459-480
- ISSN
- 0003-0007 (ISSN-L)
- 1520-0477
- OpenAlex
- W2013950140
- Cited by
- 608
- References
- 86
- FWCI
- 20.86
- Type
- journal article
- Language
- en
- Open access
- bronze
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- McPhaden, M. J., Meyers, G., Ando, K., Masumoto, Y., Murty, V. S. N., Ravichandran, M., Syamsudin, F., Vialard, J., Yu, L., & Yu, W. (2009). RAMA: The Research Moored Array for African–Asian–Australian Monsoon Analysis and Prediction*. Bulletin of the American Meteorological Society. https://doi.org/10.1175/2008bams2608.1
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