globalchange  > 气候变化事实与影响
DOI: doi:10.1038/nclimate2664
论文题名:
Dominant role of greenhouse-gas forcing in the recovery of Sahel rainfall
作者: Buwen Dong
刊名: Nature Climate Change
ISSN: 1758-878X
EISSN: 1758-6998
出版年: 2015-06-01
卷: Volume:5, 页码:Pages:757;760 (2015)
语种: 英语
英文关键词: Attribution ; Hydrology ; Atmospheric science
英文摘要:

Sahelian summer rainfall, controlled by the West African monsoon, exhibited large-amplitude multidecadal variability during the twentieth century. Particularly important was the severe drought of the 1970s and 1980s, which had widespread impacts1, 2, 3, 4, 5, 6. Research into the causes of this drought has identified anthropogenic aerosol forcing3, 4, 7 and changes in sea surface temperatures (SSTs; refs 1, 2, 6, 8, 9, 10, 11) as the most important drivers. Since the 1980s, there has been some recovery of Sahel rainfall amounts2, 3, 4, 5, 6, 11, 12, 13, 14, although not to the pre-drought levels of the 1940s and 1950s. Here we report on experiments with the atmospheric component of a state-of-the-art global climate model to identify the causes of this recovery. Our results suggest that the direct influence of higher levels of greenhouse gases in the atmosphere was the main cause, with an additional role for changes in anthropogenic aerosol precursor emissions. We find that recent changes in SSTs, although substantial, did not have a significant impact on the recovery. The simulated response to anthropogenic greenhouse-gas and aerosol forcing is consistent with a multivariate fingerprint of the observed recovery, raising confidence in our findings. Although robust predictions are not yet possible, our results suggest that the recent recovery in Sahel rainfall amounts is most likely to be sustained or amplified in the near term.

The Sahel drought of the 1970s and 1980s had devastating impacts on local populations and has been widely studied as one of the most important examples in instrumental records of changes in the hydrological climate of any region1, 2, 3, 4, 5, 6. Between the 1950s and 1980s, Sahelian summer rainfall declined by around 40%, associated with a spatially coherent pattern of rainfall change across most of North Africa1, 2, 3, 4. Early studies on the causes of the drought focused on the role of the land surface15 and changes in sea surface temperatures (SSTs) in the Atlantic1, 2, 6, 8, 9, 11 and Indian 10, 11 ocean basins. The relevant changes in SST may have arisen from natural internal variability or in response to changing forcings. More recent studies have explored the role of changing anthropogenic forcings, with several studies concluding that increases in anthropogenic aerosol precursor emissions from North America and Europe were a particularly important factor3, 4, 7. One likely consequence of these aerosol precursor emissions was to cool SST in the North Atlantic relative to the South Atlantic, making a link with the previous research on the influence of SST changes.

Since the 1980s, the amounts of Sahel summer (July–August–September) rainfall have increased2, 3, 4, 5, 6, 11, 12, 13, 14 (Fig. 1a–c and Supplementary Fig. 1). The increase between the recent period 1996–2010/2011 and the drought period 1964–1993 was 0.26–0.31 mm day−1 (hereafter mm d−1, estimated from three data sets), corresponding to around one-third of the decrease that occurred between the 1950s and the drought period. The largest increases have occurred in August, which is climatologically the wettest month (Fig. 1b). In view of the devastating impacts of the drought, understanding the reasons for this recent recovery, and whether it is likely to be sustained, is a key challenge.

Figure 1: The recent recovery in Sahel rainfall: observed changes and model-simulated responses.
The recent recovery in Sahel rainfall: observed changes and model-simulated responses.

a, Time series of Sahel rainfall for July–September (JAS) mean over the land area 10°–20° N, 20° W–35° E from three observational data sets. Black and red range bars indicate the earlier period of 1964–1993 and the recent period of 1996–2010/2011. b, Seasonal evolutions of precipitation change between the recent period of 1996–2010/2011 and the earlier period of 1964–1993, in observations and model simulations. ce, Spatial patterns of observed seasonal mean (JAS) changes between the two periods in precipitation (c), SAT (d) and SLP (e). The recent period for University of Delaware (UD) data sets is 1996–2010 and for the other data sets is 1996–2011. fh, The same as in ce, but for changes in the model-simulated responses forced by changes in SST/SIE, GHG concentrations, and AA precursor emissions (ALL–CONTROL). Thick lines in f and g highlight regions where the differences are statistically significant at the 90% confidence level using a two-tailed Student t-test. Red and black boxes indicate the regions used to calculate some area-averaged (land only) monsoon indices which are shown in Fig. 2 and Supplementary Figs 4 and 9. See Methods for details of data sets, model experiments and analysis.

Observational data sets.

The monthly mean SAT and precipitation data sets used are University of Delaware (UD) land SAT and precipitation v3.01 (1901–2010), CRU TS3.21 SAT and precipitation22 (1901–2013) on a 0.5° × 0.5° grid, the NOAAs Precipitation Reconstruction over Land (PREC/L) (1948–2013) on a 1° × 1° grid, GPCP v2.2 precipitation23 (1979–2013) on a 2.5° × 2.5° grid, and the NASA GISS Surface Temperature Analysis24 (GISTEMP) (1880–2013) on a 2° × 2° grid. Monthly mean SST from 1871 to 2013 is HadISST (ref. 25) on a 1° × 1° grid. Monthly mean variables of NCEP/NCAR Reanalysis 2 (ref. 26) (1979–2013) and monthly SLP of the 20th Century (20C) Reanalysis27 v2 (1871–2012) are used. UD, PREC/L, GPCP, GISTEMP, NCEP/NCAR Reanalysis 2 and the 20C Reanalysis are provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, from their website at http://www.esrl.noaa.gov/psd. CRUTS3.21 data are available from the British Atmospheric Data Centre from the site http://badc.nerc.ac.uk/browse/badc/cru/data/cru_ts/cru_ts_3.21/data. HadISST data are available from http://www.metoffice.gov.uk/hadobs. The NCEP/NCAR Reanalysis 2 is used to examine changes in the free troposphere as it uses an updated forecast model and data assimilation system and covers the satellite period from 1979 to the present27. Changes are analysed between a base period, 1964–1993, during which the major Sahel drought occurred, and a recent period, 1996–2010/2011 (depending on data set), during which Sahel rainfall had shown a significant recovery (Fig. 1). In the case of the NCEP/NCAR Reanalysis 2 data, a modified base period of 1979–1993 was used. Comparison of Fig. 1e with Supplementary Fig. 1 shows that the change in base period does not have a major impact on the pattern of SLP change seen in the 20C data, and the pattern of change in SLP is consistent between 20C and NCEP/NCAR Reanalysis 2.

General circulation model.

Climate model experiments have been carried out to identify the roles of changes in SST/Sea Ice extent (SIE), anthropogenic greenhouse gases (GHG) forcing and anthropogenic aerosol (AA) precursor emissions28 in the recent Sahel rainfall recovery. The model used is the atmosphere configuration of the Met Office Hadley Centre Global Environment Model version 3 (HadGEM3-A; ref. 29), with a resolution of 1.875° longitude by 1.25° latitude and 85 levels in the vertical. The model includes an interactive tropospheric chemistry scheme and five species (sulphate, black carbon, organic carbon, sea salt and dust) of tropospheric aerosols considering the aerosol direct, indirect and semi-direct effects. Data sets required by the model for the tropospheric aerosol scheme are emissions of sulphur dioxide (SO2), land-based dimethyl sulphide (DMS), ammonia (NH3), and primary black and organic carbon aerosols from fossil fuel combustion and biomass burning. Six numerical experiments have been performed (see details in Supplementary Table 1). They are: CONTROL, forced by drought period SST/SIE, GHG and AA; ALL, forced by recent period SST/SIE, GHG and AA; SSTGHG, forced by recent period SST/SIE and GHG, but drought period AA; SSTONLY, forced by recent period SST/SIE, but drought period GHG and AA; GHGAA, forced by recent period GHG and AA, but drought period SST/SIE; and GHGONLY, forced by recent period GHG, but drought period SST/SIE and AA. The last 25 years of each experiment are used for analysis and the response to a particular forcing is estimated by the mean difference between a pair of experiments that include and exclude that forcing. Seasonal mean values for summer (July–September, JAS) are produced by averaging corresponding monthly mean values. Statistical significance of the summer mean changes and the 5–95% confidence intervals of the mean changes in both observations and model experiments are assessed using a two-tailed Student t-test.

Model climatology.

The spatial patterns of the climatology in observations and in the model CONTROL experiment are shown in Supplementary Fig. 5 and some WAM indices are in Supplementary Fig. 4. The main features of the large-scale circulation and precipitation are reproduced reasonably well in comparison with observations and reanalysis. The position of the Saharan heat low and its strength also compare well with observations. Associated with the Saharan heat low are strong southwesterly monsoon winds around ~10° N, to the south of the heat low, and northeasterly winds to the north in observations. The model simulates the northeasterlies to the north of the heat low well, but underestimates the southwesterlies to the south. As the result, the model-simulated precipitation does not extend northwards enough, with mean Sahel rainfall being underestimated. It is likely that these biases are related to weaknesses in the representation of convection30. The underestimation of Sahel rainfall in the model is associated with a cold bias in SAT and a relatively weak meridional temperature gradient over North Africa, linked to weak vertical shear of zonal wind, weak AEJ, and weak surface westerly winds over the Sahel (Supplementary Figs 3–5). When comparing observations with model results, the model results are adjusted to remove the mean biases, as shown in Supplementary Fig. 4.

  1. Folland, C. K., Palmer, T. N. & Parker, D. E. Sahel rainfall and worldwide sea temperatures, 1901–85. Nature 320, 602607 (1986).
  2. Giannini, A., Saravanan, R. & Chang, P. Oceanic forcing of Sahel rainfall on interannual to interdecadal time scales. Science 302, 10271030 (2003).
  3. Held, I. M., Delworth, T. L., Lu, J., Findell, K. L. & Knutson, T. R. Simulation of Sahel drought in the 20th and 21st centuries. Proc. Natl Acad. Sci. USA 102, 1789117896 (2005). URL:
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/4706
Appears in Collections:气候变化事实与影响
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气候变化与战略

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Buwen Dong. Dominant role of greenhouse-gas forcing in the recovery of Sahel rainfall[J]. Nature Climate Change,2015-06-01,Volume:5:Pages:757;760 (2015).
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