The DOI matches its Crossref record; 158 of the 158 references it cites were found in a registry or an index.
Rainfall trends in the African Sahel: Characteristics, processes, and causes
Open accessAbstract
Sahel rainfall is dynamically linked to the global Hadley cell and to the regional monsoon circulation. It is therefore susceptible to forcings from remote oceans and regional land alike. Warming of the oceans enhances the stability of the tropical atmosphere and weakens deep ascent in the Hadley circulation. Warming of the Sahara and of the nearby oceans changes the structure and position of the regional shallow circulation and allows more of the intense convective systems that determine seasonal rain accumulation. These processes can explain the observed interannual to multidecadal variability. Sea surface temperature anomalies were the dominant forcing of the drought of the 1970s and 1980s. In most recent decades, seasonal rainfall amounts have partially recovered, but rainy season characteristics have changed: rainfall is more intense and intermittent and wetting is concentrated in the late rainy season and away from the west coast. Similar subseasonal and subregional differences in rainfall trends characterize the simulated response to increased greenhouse gases, suggesting an anthropogenic influence. While uncertainty in future projections remains, confidence in them is encouraged by the recognition that seasonal mean rainfall depends on large‐scale drivers of atmospheric circulations that are well resolved by current climate models. Nevertheless, observational and modeling efforts are needed to provide more refined projections of rainfall changes, expanding beyond total accumulation to metrics of intraseasonal characteristics and risk of extreme events, and coordination between climate scientists and stakeholders is needed to generate relevant information that is useful even under deep uncertainty. This article is categorized under: Paleoclimates and Current Trends > Modern Climate Change
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An Overview of CMIP5 and the Experiment Design
Taylor, K. E., Stouffer, R. J., & Meehl, G. A. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00094.1 · Cited by 14,052
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
Investigating soil moisture–climate interactions in a changing climate: A review
Seneviratne, S. I., Corti, T., Davin, E. L., Hirschi, M., Jaeger, E. B., Lehner, I., Orlowsky, B., & Teuling, A. J. (2010) · Earth-Science Reviews · doi:10.1016/j.earscirev.2010.02.004 · Cited by 5,638
Robust Responses of the Hydrological Cycle to Global Warming
Held, I. M., & Soden, B. J. (2006) · Journal of Climate · doi:10.1175/jcli3990.1 · Cited by 4,959
Anthropogenic and Natural Radiative Forcing
(2014) · Climate Change 2013 – The Physical Science Basis · doi:10.1017/cbo9781107415324.018 · Cited by 3,683
Global Desertification: Building a Science for Dryland Development
Reynolds, J. F., Smith, D. M. S., Lambin, E. F., Turner, B. L., Mortimore, M., Batterbury, S. P. J., Downing, T. E., Dowlatabadi, H., Fernández, R. J., Herrick, J. E., et al. (2007) · Science · doi:10.1126/science.1131634 · Cited by 2,916
The Global Precipitation Climatology Project (GPCP) Combined Precipitation Dataset
Huffman, G. J., Adler, R. F., Arkin, P., Chang, A., Ferraro, R., Gruber, A., Janowiak, J., McNab, A., Rudolf, B., & Schneider, U. (1997) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1997)078<0005:tgpcpg>2.0.co;2 · Cited by 1,723
Houze, R. A. (2004) · Reviews of Geophysics · doi:10.1029/2004rg000150 · Cited by 1,494
Climate extremes indices in the CMIP5 multimodel ensemble: Part 2. Future climate projections
Sillmann, J., Kharin, V. V., Zwiers, F. W., Zhang, X., & Bronaugh, D. (2013) · Journal of Geophysical Research: Atmospheres · doi:10.1002/jgrd.50188 · Cited by 1,466
Dynamics of deserts and drought in the Sahel
Charney, J. G. (1975) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49710142802 · Cited by 1,431
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Metadata
- Authors
- Biasutti, M.
- Venue
- WIREs Climate Change
- Publisher
- Wiley
- Published
- 2019-06-04
- Volume
- 10
- Issue
- 4
- Pages
- e591-e591
- ISSN
- 1757-7780 (ISSN-L)
- 1757-7799
- OpenAlex
- W2948284713
- Cited by
- 336
- References
- 158
- FWCI
- 14.07
- Type
- journal article
- Language
- en
- Open access
- hybrid
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