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Climate Dynamics

, Volume 42, Issue 3–4, pp 787–803 | Cite as

The influence of inter-annually varying albedo on regional climate and drought

  • X. H. Meng
  • J. P. Evans
  • M. F. McCabe
Article

Abstract

Albedo plays an important role in land–atmosphere interactions and local climate. This study presents the impact on simulating regional climate, and the evolution of a drought, when using the default climatological albedo as is usually done in regional climate modelling, or using the actual observed albedo which is rarely done. Here, time-varying satellite derived albedo data is used to update the lower boundary condition of the Weather Research and Forecasting regional climate model in order to investigate the influence of observed albedo on regional climate simulations and also potential changes to land–atmosphere feedback over south-east Australia. During the study period from 2000 to 2008, observations show that albedo increased with an increasingly negative precipitation anomaly, though it lagged precipitation by several months. Compared to in-situ observations, using satellite observed albedo instead of the default climatological albedo provided an improvement in the simulated seasonal mean air temperature. In terms of precipitation, both simulations reproduced the drought that occurred from 2002 through 2006. Using the observed albedo produced a drier simulation overall. During the onset of the 2002 drought, albedo changes enhanced the precipitation reduction by 20 % on average, over locations where it was active. The area experiencing drought increased 6.3 % due to the albedo changes. Two mechanisms for albedo changes to impact land–atmosphere drought feedback are investigated. One accounts for the increased albedo, leading to reduced turbulent heat flux and an associated decrease of moist static energy density in the planetary boundary layer; the other considers that enhanced local radiative heating, due to the drought, favours a deeper planetary boundary layer, subsequently decreasing the moist static energy density through entrainment of the free atmosphere. Analysis shows that drought related large-scale changes in the regional climate favour a strengthening of the second mechanism. That is, the second mechanism is stronger in a drought year compared to a normal year and this difference is larger than for the first mechanism. When both mechanisms are active, the second mechanism tends to dominate across the model domain, particularly during the 2002 drought period. The introduction of observed inter-annual variations in albedo produces an enhancement of the first mechanism and a weakening of the second mechanism during the onset of the drought.

Keywords

Albedo Land–atmosphere feedback Drought Regional climate model Australia 

Notes

Acknowledgments

This work was funded by the Australian Research Council as part of the Discovery Project DP0772665 and Future Fellowship FT110100576. This work was supported by an award under the Merit Allocation Scheme on the NCI National Facility at the ANU.

References

  1. Alessandri A, Gualdi S, Polcher J, Navarra A (2007) Effects of land surface–vegetation on the boreal summer surface climate of a GCM. J Clim 20:255–278. doi: 10.1175/JCLI3983.1 CrossRefGoogle Scholar
  2. Betts AK, Ball JH (1998) FIFE surface climate and site-average dataset 1987–89. J Atmos Sci 55:1091–1108CrossRefGoogle Scholar
  3. Blyth EM, Evans JG, Finch JW, Bantges R, Harding RJ (2006) Spatial variability of the English agricultural landscape and its effect on evaporation. Agric For Meteorol 138:19–28. doi: 10.1016/j.agrformet.2006.03.007 CrossRefGoogle Scholar
  4. Bonan GB (2008) Forests and climate change: forcings, feedbacks, and the climate benefits of forests. Science 320:1444–1449. doi: 10.1126/science.1155121 CrossRefGoogle Scholar
  5. Cai W, Cowan T, Briggs P, Raupach M (2009a) Rising temperature depletes soil moisture and exacerbates severe drought conditions across southeast Australia. Geophys Res Lett 36:L21709. doi: 10.1029/2009GL040334
  6. Cai W, Cowan T, Raupach M (2009b) Positive Indian Ocean dipole events precondition southeast Australia bushfires. Geophys Res Lett 36:L19710. doi: 10.1029/2009GL039902
  7. Charney J, Quirk W, Chow S, Kornfield J (1977) Comparative study of effects of albedo change on drought in semi-arid regions. J Atmos Sci 34:1366–1385CrossRefGoogle Scholar
  8. Chen F, Avissar R (1994) Impact of land-surface moisture variability on local shallow convective cumulus and precipitation in large-scale models. J Appl Meteorol 33:1382–1401CrossRefGoogle Scholar
  9. Cook BI, Bonan GB, Levis S (2006) Soil moisture feedbacks to precipitation in Southern Africa. J Clim 19:4198–4206CrossRefGoogle Scholar
  10. Csiszar IA (2009) ISLSCP II NOAA 5-year average monthly snow-free albedo from AVHRR. ISLSCP initiative II collection. Data set. Available on-line [http://daac.ornl.gov/] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. doi: 10.3334/ORNLDAAC/959
  11. Dirmeyer PA, Shukla J (1994) Albedo as a modulator of climate response to tropical deforestation. J Geophys Res 99:20863–20877CrossRefGoogle Scholar
  12. Eltahir EAB (1998) A soil moisture rainfall feedback mechanism 1. Theory and observations. Water Resour Res 34:765–776CrossRefGoogle Scholar
  13. Evans JP, McCabe MF (2010) Regional climate simulation over Australia’s Murray-Darling basin: a multitemporal assessment. J Geophys Res 115:D14114. doi: 10.1029/2010JD013816
  14. Evans JP, Pitman AJ, Cruz FT (2011) Coupled atmospheric and land surface dynamics over southeast Australia: a review, analysis and identification of future research priorities. Int J Climatol 31:1758–1772. doi: 10.1002/joc.2206 CrossRefGoogle Scholar
  15. Evans JP, Ekström M, Ji F (2012) Evaluating the performance of a WRF physics ensemble over South-East Australia. Clim Dyn. doi: 10.1007/s00382-011-1244-5 Google Scholar
  16. Findell KL, Eltahir EAB (2003a) Atmospheric controls on soil moisture-boundary layer interactions. Part I: framework development. J Hydrometeorol 4:552–569CrossRefGoogle Scholar
  17. Findell KL, Eltahir EAB (2003b) Atmospheric controls on soil moisture-boundary layer interactions. Part II: feedbacks within the continental United States. J. Hydrometeorol. 4:570–583CrossRefGoogle Scholar
  18. Findell KL, Shevliakova E, Milly PCD, Stouffer RJ (2007) Modeled impact of anthropogenic land cover change on climate. J Clim 20:3621–3634CrossRefGoogle Scholar
  19. Fischer EM, Seneviratne SI, Vidale PL, Lüthi D, Schär C (2007) Soil moisture-atmosphere interactions during the 2003 European summer heat wave. J Clim 20:5081–5099CrossRefGoogle Scholar
  20. Fu G, Viney N, Charles S, Liu J (2010) Long-term temporal variation of extreme rainfall events in Australia: 1910–2006. J Hydrometeorol 11:950–965. doi: 10.1175/2010JHM1204.1 CrossRefGoogle Scholar
  21. Fuller DO, Ottke C (2002) Land cover, rainfall and land-surface albedo in West Africa. Climatic Change 54:181–204. doi: 10.1023/A:1015730900622 CrossRefGoogle Scholar
  22. Guo Z, Dirmeyer PA, Koster RD et al (2006) GLACE: the global land-atmosphere coupling experiment. Part II: analysis. J Hydrometeorol 7:611–625CrossRefGoogle Scholar
  23. Jones DA, Wang W, Fawcett R (2009) High-quality spatial climate data-sets for Australia. Aust Meteorol Mag 58:233–248Google Scholar
  24. Kalnay E, Kanamitsu M, Kistler R et al (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteorol Soc 77:437–471CrossRefGoogle Scholar
  25. Koster RD, Suarez MJ (2001) Soil moisture memory in climate models. J Hydrometeorol 2:558–570CrossRefGoogle Scholar
  26. Koster RD, Guo Z, Dirmeyer PA et al (2006) GLACE: the global land-atmosphere coupling experiment. Part I: overview. J Hydrometeorol 7:590–610CrossRefGoogle Scholar
  27. Lin C-Y, Chen F, Huang JC et al (2008) Urban heat island effect and its impact on boundary layer development and land–sea circulation over northern Taiwan. Atmos Environ 42:5635–5649. doi: 10.1016/j.atmosenv.2008.03.015 CrossRefGoogle Scholar
  28. Liu Z, Notaro M, Kutzbach J, Liu N (2006) Assessing global vegetation-climate feedbacks from observations. J Clim 19:787–814CrossRefGoogle Scholar
  29. Mahmood R, Quintanar AI, Conner G et al (2010) Impacts of land use/land cover change on climate and future research priorities. Bull Am Meteorol Soc 91:37–46. doi: 10.1175/2009BAMS2769.1 CrossRefGoogle Scholar
  30. Matsui T, Lakshmi V, Small EE (2005) The effects of satellite-derived vegetation cover variability on simulated land-atmosphere interactions in the NAMS. J Clim 18:21–40CrossRefGoogle Scholar
  31. McCabe MF, Wood EF, Wójcik R et al (2008) Hydrological consistency using multi-sensor remote sensing data for water and energy cycle studies. Remote Sens Environ 112:430–444CrossRefGoogle Scholar
  32. Notaro M, Liu Z, Williams JW (2006) Observed vegetation–climate feedbacks in the United States. J Clim 19:763–786. doi: 10.1175/JCLI3657.1 CrossRefGoogle Scholar
  33. Paget MJ, King EA (2008) MODIS land data sets for the Australian region. CSIRO Marine and Atmospheric Research internal report. CSIRO, Canberra, AustraliaGoogle Scholar
  34. Potter NJ, Chiew FHS, Frost AJ (2010) An assessment of the severity of recent reductions in rainfall and runoff in the Murray–Darling basin. J Hydrol 381:52–64. doi: 10.1016/j.jhydrol.2009.11.025 CrossRefGoogle Scholar
  35. Risbey JS, Pook MJ, McIntosh PC, Wheeler MC, Hendon HH (2009) On the remote drivers of rainfall variability in Australia. Mon Weather Rev 137:3233–3253CrossRefGoogle Scholar
  36. Skamarock WC, Klemp JB, Dudhia J et al (2008) A description of the advanced research WRF Version 3. NCAR Technical Note. NCAR, Boulder, CO, p 125Google Scholar
  37. Teuling AJ, Seneviratne SI (2008) Contrasting spectral changes limit albedo impact on land-atmosphere coupling during the 2003 European heat wave. Geophys Res Lett 35:L03401. doi: 10.1029/2007GL032778
  38. Tuinenburg O, Hutjes R, Jacobs C, Kabat P (2011) Diagnosis of local land-atmosphere feedbacks in India. J Clim 24:251–266. doi: 10.1175/2010JCLI3779.1 CrossRefGoogle Scholar
  39. Ummenhofer CC, Gupta AS, Briggs PR et al (2011) Indian and Pacific Ocean influences on southeast Australian drought and soil moisture. J Clim 24:1313–1336CrossRefGoogle Scholar
  40. Wei J, Dickinson RE, Chen H (2008) A negative soil moisture-precipitation relationship and its causes. J Hydrometeorol 9:1364–1376CrossRefGoogle Scholar
  41. Xue Y, De Sales F, Vasic R, Mechoso CR, Arakawa A, Prince S (2010) Global and seasonal assessment of interactions between climate and vegetation biophysical processes: a GCM study with different land-vegetation representations. J Clim 23:1411–1433CrossRefGoogle Scholar
  42. Zaitchik BF, Evans J, Smith RB (2005) MODIS-derived boundary conditions for a mesoscale climate model: application to irrigated agriculture in the Euphrates Basin. Mon Weather Rev 133:1727–1743CrossRefGoogle Scholar
  43. Zaitchik B, Macalady A, Bonneau L, Smith R (2006) Europe’s 2003 heat wave: a satellite view of impacts and land-atmosphere feedbacks. Int J Climatol 26:743–769. doi: 10.1002/joc.1280 CrossRefGoogle Scholar
  44. Zaitchik BF, Evans JP, Geerken RA, Smith RB (2007a) Climate and vegetation in the Middle East: interannual variability and drought feedbacks. J Clim 20:3924–3941CrossRefGoogle Scholar
  45. Zaitchik BF, Evans JP, Smith RB (2007b) Regional impact of an elevated heat source: the Zagros Plateau of Iran. J Clim 20:4133–4146CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Climate Change Research CentreUniversity of New South WalesSydneyAustralia
  2. 2.Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Cold and Arid Regions Environmental and Engineering Research InstituteChinese Academy of ScienceLanzhouChina
  3. 3.Australian Research Council Centre of Excellence for Climate System ScienceUniversity of New South WalesSydneyAustralia
  4. 4.Water Desalination and Reuse Center, Biological and Environmental Sciences and Engineering DivisionKing Abdullah University of Science and TechnologyThuwalSaudi Arabia

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