globalchange  > 气候变化事实与影响
DOI: doi:10.1038/nclimate2173
论文题名:
The missing aerosol response in twentieth-century mid-latitude precipitation observations
作者: Joe M. Osborne
刊名: Nature Climate Change
ISSN: 1758-1354X
EISSN: 1758-7474
出版年: 2014-03-30
卷: Volume:4, 页码:Pages:374;378 (2014)
语种: 英语
英文关键词: Attribution ; Atmospheric dynamics ; Climate and Earth system modelling
英文摘要:

Regional temperature change over the twentieth century has been strongly influenced by aerosol forcing1, 2. The aerosol effect is also expected to be pronounced on regional precipitation change3. Changes in historical precipitation—for the global mean and land mean of certain regions—should be more sensitive to spatially heterogeneous aerosol forcing than greenhouse gas forcing4, 5, 6, 7. Here, we investigate whether regional precipitation and temperature respond predictably to a significant strengthening in mid-twentieth-century Northern Hemisphere mid-latitude (NHML) aerosol forcing. Using the latest climate model experiments, we find that observed regional temperature changes and observed Northern Hemisphere tropical land precipitation changes are consistent with the IPCC Fifth Assessment Report8 aerosol forcing estimate, but observed NHML land precipitation changes show little evidence of an aerosol response. This may be a result of changes in precipitation measurement practice that increased observed precipitation totals at the same time that aerosol forcing was expected to reduce them9. Investigating this inconsistency, we calculate the required increase in early-twentieth-century observed NHML land precipitation to bring this result in line with aerosol forcing. Biases greater than this calculated correction have been identified in countries within the NHML region previously, notably the former Soviet Union9, 10. These observations are frequently used as a metric for the quality of model-simulated precipitation. More homogeneity studies would be of huge benefit.

Twentieth-century climate change has been dominated by greenhouse gas (GHG)-driven warming11, interrupted by a mid-twentieth-century period of slight cooling probably driven by aerosols, both globally and in the Northern Hemisphere mid-latitude (NHML) region. The NHML land region has been the source for a large proportion of global emissions originating from human activity12, including short-lived forcing agents such as aerosols. Our longest, most comprehensive temperature and precipitation observations also exist here. These have allowed for the identification of a temperature response to aerosol forcing in observations and climate models1. However, no such link between precipitation and local aerosol forcing in the NHML land region has been reported. Here, we consider whether one should be expected and if it is found in observations and models.

In the global mean, energetic constraints dictate that precipitation change is more sensitive to aerosol forcing than GHG forcing per unit temperature change4, 5. The direct effect of GHG forcing counteracts surface temperature-dependent precipitation change, whereas the direct effect of sulphate aerosol forcing is negligible13, 14. Fig. 1a shows the five-year global mean precipitation–temperature relationship for three twentieth-century experiments driven with different forcings using the CanESM2 climate model. Both the experiment forced only by GHGs and the anthropogenic aerosol alone experiment have a linear precipitation–temperature relationship, but the change in precipitation per unit change in temperature is greater in the latter. The all-forcings experiment reflects the temporal evolution of twentieth-century GHG and anthropogenic aerosol forcing. As GHG forcing and temperature increase in proportion in the early twentieth century, precipitation also increases. Aerosol concentrations increase markedly in the mid twentieth century12, initiating a slight temperature decrease and a larger decrease in precipitation. Precipitation at the end of the twentieth century increases in line with GHG-driven warming. Hence, the twentieth-century precipitation–temperature relationship looks like two GHG-driven straight lines ‘offset’ by mid-twentieth-century aerosol-driven cooling (Methods).

Figure 1: Five-year precipitation–temperature relationships for three twentieth-century experiments with CanESM2 for 1905–2004.
Five-year precipitation-temperature relationships for three twentieth-century experiments with CanESM2 for 1905-2004.

a, Five-year global mean precipitation–temperature relationships. b, Five-year NHT land mean precipitation–global mean temperature relationships. c, Five-year Northern Hemisphere mid-latitude land mean precipitation–global mean temperature relationships. Three twentieth-century experiments are included—one driven by greenhouse gas (GHG) forcings alone, one driven by anthropogenic aerosol forcings alone and one driven by all forcings. Five members contribute towards the ensemble mean of each experiment, with anomalies given relative to the mean of a pre-industrial control simulation. Temperature is masked to HadCRUT4 observations (Methods). Precipitation in b and c is masked to Global Historical Climatology Network observations (Methods).

Regridding and masking.

The NHML region is defined as the latitude band bounded by 30° N and 65° N. However, the findings are largely insensitive to slight shifts in these bounds, with NHML storm tracks always captured. The SHEXT region is the latitude band bounded by 30° S and 90° S. We use three other gridded observational precipitation data sets, in addition to the GHCN data set that is used in the main analyses. These are an updated version of the Zhang data set21, the latest CRU high-resolution precipitation data set27 and the GPCC Full Data Reanalysis V6 data set28. The CRU and GPCC data sets are spatially interpolated, but here we consider only grid boxes where real observations exist. These data (CRU and GPCC) are gridded to the same 5° × 5° grid and anomalized with respect to the period 1961–1990 (the years with most available observations) to be consistent with the GHCN and Zhang data sets, as well as the HadCRUT4 temperature observations. However, for the correction analysis (Supplementary Fig. 7) we use CRU and GPCC monthly total precipitation values. The four precipitation data sets are not masked to be spatially and temporally consistent with each other. Different data sets contain different station records, with some favouring fewer long-term homogenized records and others selecting a much greater number of short-term records, thus testing the sensitivity of the analyses to varying spatial and temporal coverage29. For the HadCRUT4 gridded global surface temperature anomalies data set we use the median of the 100 ensemble members available. All model data are first regridded to the common 5° × 5° grid. For simulated precipitation, we mask to each of the four observed data sets in turn, apart from in Fig. 1a, where unmasked global means are shown. Simulated temperature is masked to the HadCRUT4 data set (land and ocean) in all instances. Following masking, data are anomalized relative to the 1961–1990 period, apart from in Fig. 1, where data are anomalized with respect to the mean of a pre-industrial control simulation.

Forcing.

Forcing time series are calculated using a simple linear forcing–feedback model30, although we consider only short-wave radiative fluxes. Surface forcing is calculated by looking at just surface fluxes. Model simulated radiative fluxes are regridded to the common 5° × 5° grid. The strength of NHML surface aerosol forcing in models is diagnosed by taking the difference between mean NHML mean surface short-wave forcing before and after 1960. NHML surface short-wave forcing from a historical all-forcings experiment is largely representative of NHML surface total forcing from a historical anthropogenic aerosol forcings alone experiment (Supplementary Fig. 8), particularly when considering the difference between two long-term means. Surface aerosol forcing is used, because both increasing black carbon aerosol and increasing sulphate aerosol atmospheric concentrations lead to negative surface aerosol forcing and—albeit through different mechanisms—are expected to generate a negative precipitation offset in the mid twentieth century14. Horizontal error bars for CMIP5 models in Fig. 3 and Supplementary Figs 4 and 6 show an estimate of the 5–95% uncertainty ranges in NHML surface aerosol forcing. Calculation of NHML surface aerosol forcing error bars for observations follows the method outlined in the Supplementary Note and Fig. 5.

Calculating the precipitation/temperature offsets.

To calculate, for example, the size of the NHML land mean precipitation offset, β, we consider the precipitation–temperature relationship (Fig. 1c) and fit a simple linear regression model to the data

where 1 is a column vector of all ones, represents the mean NHML land mean precipitation anomaly for 1905–1959, P60−04 represents five-year mean NHML land mean precipitation anomalies for 1960–2004, represents the mean global mean temperature anomaly for 1905–1959, T60−04 represents five-year mean global mean temperature anomalies for 1960–2004 and γ is the trend from the linear regression fit to 1960–2004 NHML land mean precipitation-global mean temperature. Vertical error bars for CMIP5 models in Fig. 3 and Supplementary Fig. 4 show an estimate of the 5–95% uncertainty ranges in β. This regression model is fitted to each model separately, as well as the observations. An identical technique is implemented to measure the NHT land mean precipitation offsets and temperature gradient offsets.

  1. Stott, P. Attribution of regional-scale temperature changes to anthropogenic and natural causes. Geophys. Res. Lett. 30, 17281731 (2003).
  2. Shindell, D. & Faluvegi, G. Climate response to regional radiative forcing during the twentieth century. Nature Geosci. 2, 294300 (2009).
  3. Shindell, D. T., Voulgarakis, A., Faluvegi, G. & Milly, G. Precipitation response to regional radiative forcing. Atmos. Chem. Phys. 12, 69696982 (2012).
  4. Allen, M. R. & Ingram, W. J. Constraints on future changes in climate and the hydrologic cycle. Nature 419, 224232 (2002).
  5. Lambert, F. H. & Allen, M. R. Are changes in global precipitation constrained by the tropospheric energy budget?. J. Clim. 22, 499517 (2009).
  6. Chang, C-Y., Chiang, J. C. H., Wehner, M. F., Friedman, A. R. & Ruedy, R. Sulfate aerosol control of tropical Atlantic climate over the twentieth century. J. Clim. 24, 25402555 (2011).
  7. Hwang, Y-T., Frierson, D. M. W. & Kang, S. M. Anthropogenic sulphate aerosol and the southward shift of tropical precipitation in the late 20th century. Geophys. Res. Lett. 40, 28452850 (2013).
  8. Myhre, G. et al. in Climate Change 2013: The Physical Science Basis (ed Stocker, T. F.et al.) Ch. 8, (Cambridge Univ. Press, 2013).
  9. Groisman, P. Y. & Rankova, E. Y. Precipitation trends over the Russian permafrost-free zone: Removing the artifacts of pre-processing. Int. J. Climatol. 21, 657678 (2001). URL:
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/5175
Appears in Collections:气候变化事实与影响
科学计划与规划
气候变化与战略

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Joe M. Osborne. The missing aerosol response in twentieth-century mid-latitude precipitation observations[J]. Nature Climate Change,2014-03-30,Volume:4:Pages:374;378 (2014).
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