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Climate Dynamics

, Volume 51, Issue 1–2, pp 639–666 | Cite as

Australian snowpack in the NARCliM ensemble: evaluation, bias correction and future projections

  • Alejandro Di LucaEmail author
  • Jason P. Evans
  • Fei Ji
Article

Abstract

In this study we evaluate the ability of an ensemble of high-resolution Regional Climate Model simulations to represent snow cover characteristics over the Australian Alps and go on to asses future projections of snowpack characteristics. Our results show that the ensemble presents a cold temperature bias and overestimates total precipitation leading to a general overestimation of the snow cover as compared with MODIS satellite data. We then produce a new set of snowpack characteristics by running a temperature based snow melt/accumulation model forced by bias corrected temperature and precipitation fields. While some positive snow cover biases remain, the bias corrected (BC) dataset show large improvements regarding the simulation of total amounts, seasonality and spatial distribution of the snow cover compared with MODIS products. Both the raw and BC datasets are then used to assess future changes in the snowpack characteristics. Both datasets show robust increases in near-surface temperatures and decreases in snowfall that lead to a substantial reduction of the snowpack over the Australian Alps. The snowpack decreases by about 15 and 60% by 2030 and 2070 respectively. While the BC data introduce large differences in the simulation of the present climate snowpack, in relative terms future changes appear to be similar to those obtained using the raw data. Future temperature projections show a clear dependence with elevation through the snow-albedo feedback effect that affects snowpack projections. Uncertainties in future projections of the snowpack are large in both datasets and are mainly dominated by the choice of the lateral boundary conditions.

Keywords

Snowfall Snow cover Climate change Mountains High resolution 

Notes

Acknowledgements

Support for this work was provided by the New South Wales (NSW) Office of Environment and Heritage to build on the NSW/ACT Regional Climate Modelling (NARCliM) Project. This work was made possible through the Merit Allocation Scheme award from the NCI (National Computational Infrastructure) National Facility at the Australian National University. The authors would like to thank Kathryn J. Bormann and Jeffery A. Thompson for providing the MODIS derived satellite datasets and the scientists involved in generating AWAP observational datasets that are used in this study. The authors also acknowledge the administration of Climate Change Research Centre at the University of New South Wales for the logistical support, the modelling groups, the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and the WCRP’s Working Group on Coupled Modelling (WGCM) for their roles in making available the World Climate Research Programme (WCRP) CMIP3 multimodel data set. Support of this data set is provided by the Office of Science, U.S. Department of Energy. We thank the scientists at NCAR Mesoscale and Microscale Meteorology Division for maintaining the Weather Research and Forecasting Model.

Supplementary material

382_2017_3946_MOESM1_ESM.pdf (6.5 mb)
Supplementary material 1 (PDF 6,683 KB)

References

  1. Argüeso D, Evans JP, Fita L (2013) Precipitation bias correction of very high resolution regional climate models. Hydrol Earth Syst Sci 17:4379–4388. doi: 10.5194/hess-17-4379-2013 CrossRefGoogle Scholar
  2. Argüeso D, Evans JP, Fita L (2013) Precipitation bias correction of very high resolution regional climate models. Hydrol Earth Syst Sci 17(11):4379–4388. doi: 10.5194/hess-17-4379-2013 CrossRefGoogle Scholar
  3. Auer AH Jr (1974) The rain versus snow threshold temperatures. Weatherwise 27(2):67–67. doi: 10.1080/00431672.1974.9931684 CrossRefGoogle Scholar
  4. Bellprat O, Kotlarski S, Lüthi D, Schär C (2013) Physical constraints for temperature biases in climate models. Geophys Res Lett 40(15):4042–4047. doi: 10.1002/grl.50737 CrossRefGoogle Scholar
  5. Bhend J, Bathols J, Hennessy K (2012) Climate change impacts on snow in Victoria, vol 42. CSIRO report for the Victorian Department of Sustainability and Environment, AspendaleGoogle Scholar
  6. Bishop CH, Abramowitz G (2013) Climate model dependence and the replicate Earth paradigm. Clim Dyn 41(3–4):885–900. doi: 10.1007/s00382-012-1610-y CrossRefGoogle Scholar
  7. Bormann K, McCabe M, Evans JP (2012a) Satellite based observations for seasonal snow cover detection and characterisation in Australia. Remote Sens Environ 123:57–71. doi: 10.1016/j.rse.2012.03.003 CrossRefGoogle Scholar
  8. Bormann K, McCabe M, Evans JP (2012b) Spatial and temporal variability in seasonal snow density. J Hydrol 484:63–73. doi: 10.1016/j.jhydrol.2013.01.032 CrossRefGoogle Scholar
  9. Bormann K, Evans JP, McCabe M (2014) Constraining snowmelt in a temperature-index model using simulated snow densities. J Hydrol 517:652–667. doi: 10.1016/j.jhydrol.2014.05.073 CrossRefGoogle Scholar
  10. Brereton R, Bennett S, Mansergh I (1995) Enhanced greenhouse climate change and its potential effect on selected fauna of south-eastern australia: a trend analysis. Biol Conserv 72(3):339–354. doi: 10.1016/0006-3207(94)00016-J CrossRefGoogle Scholar
  11. Brown RD, Mote PW (2009) The response of Northern Hemisphere Snow cover to a changing climate. J Clim 22(8):2124–2145. doi: 10.1175/2008JCLI2665.1 CrossRefGoogle Scholar
  12. Chen F, Dudhia J (2001) Coupling an advanced land surfacehydrology model with the Penn State NCAR MM5 modeling system. Part I: model implementation and sensitivity. Mon Weather Rev 129(4):569–585CrossRefGoogle Scholar
  13. Chubb T, Manton MJ, Siems ST, Peace AD, Bilish SP (2015) Estimation of wind-induced losses from a precipitation gauge network in the australian snowy mountains. J Hydrometeorol 16(6):2619–2638. doi: 10.1175/JHM-D-14-0216.1 CrossRefGoogle Scholar
  14. Chubb T, Manton M, Siems S, Peace A (2016) Evaluation of the awap daily precipitation spatial analysis with an independent gauge network in the snowy mountains. J South Hemisphere Earth Syst Sci 66:55–67CrossRefGoogle Scholar
  15. Chubb TH, Siems ST, Manton MJ (2011) On the Decline of wintertime precipitation in the snowy mountains of Southeastern Australia. J Hydrometeorol 12(6):1483–1497. doi: 10.1175/JHM-D-10-05021.1 CrossRefGoogle Scholar
  16. Chylek P, McCabe M, Dubey MK, Dozier J (2007) Remote sensing of Greenland ice sheet using multispectral near-infrared and visible radiances. J Geophys Res. doi: 10.1029/2007JD008742 Google Scholar
  17. Crane RG, Anderson MR (1984) Satellite discrimination of snow/cloud surfaces. Int J Remote Sens 5(1):213–223. doi: 10.1080/01431168408948799 CrossRefGoogle Scholar
  18. CSIRO, Bureau of Meteorology, (2015) Climate change in Australia information for Australias natural resource management regions: technical report. Tech. rep, CSIRO and Bureau of Meteorology, AustraliaGoogle Scholar
  19. Da Ronco P, De Michele C, Montesarchio M, Mercogliano P (2016) Comparing COSMO-CLM simulations and MODIS data of snow cover extent and distribution over Italian Alps. Clim Dyn. doi: 10.1007/s00382-016-3054-2.
  20. Dai A (2008) Temperature and pressure dependence of the rain-snow phase transition over land and ocean. Geophys Res Lett. doi: 10.1029/2008GL033295.
  21. Davis C (2013) Towards the development of long-term winter records for the snowy mountains. Aust Meteorol Oceanogr J 63(2):303–314CrossRefGoogle Scholar
  22. Déqué M, Rowell DP, Lüthi D, Giorgi F, Christensen JH, Rockel B, Jacob D, Kjellström E, Castro M, Hurk B (2007) An intercomparison of regional climate simulations for Europe: assessing uncertainties in model projections. Clim Change 81(S1):53–70. doi: 10.1007/s10584-006-9228-x CrossRefGoogle Scholar
  23. Di Luca A, de Elía R, Laprise R (2013) Potential for added value in temperature simulated by high-resolution nested RCMs in present climate and in the climate change signal. Clim Dyn 40(1–2):443–464. doi: 10.1007/s00382-012-1415-z CrossRefGoogle Scholar
  24. Di Luca A, Flaounas E, Drobinski P, Brossier C (2014) The atmospheric component of the Mediterranean Sea water budget in a WRF multi-physics ensemble and observations. Clim Dyn. doi: 10.1007/s00382-014-2058-z Google Scholar
  25. Di Luca A, Argüeso D, Evans JP, de Elía R, Laprise R (2016) Quantifying the overall added value of dynamical downscaling and the contribution from different spatial scales. J Geophys Res Atmos 121(4):1575–1590. doi: 10.1002/2015JD024009 CrossRefGoogle Scholar
  26. Ek MB (2003) Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model. J Geophys Res. doi: 10.1029/2002JD003296
  27. Evans JP, Ji F (2012a) Choosing GCMs. NARCliM Technical Note 1, NARCliM Consortium, Sydney, AustraliaGoogle Scholar
  28. Evans JP, Ji F (2012b) Choosing the RCMs to perform the downscaling. NARCliM Technical Note 2, NARCliM Consortium, Sydney, AustraliaGoogle Scholar
  29. Evans JP, Ji F, Lee C, Smith P, Argüeso D, Fita L (2014) Design of a regional climate modelling projection ensemble experiment—NARCliM. Geosci Model Dev 7(2):621–629. doi: 10.5194/gmd-7-621-2014 CrossRefGoogle Scholar
  30. Evans JP, Bormann K, Katzfey J, Dean S, Arritt R (2016) Regional climate model projections of the South Pacific Convergence Zone. Clim Dyn 47(3–4):817–829. doi: 10.1007/s00382-015-2873-x CrossRefGoogle Scholar
  31. Feser F, Rockel B, von Storch H, Winterfeldt J, Zahn M (2011) Regional climate models add value to global model data: a review and selected examples. Bull Am Meteorol Soc 92(9):1181–1192CrossRefGoogle Scholar
  32. Fiddes SL, Pezza AB, Barras V (2015) A new perspective on Australian snow. Atmos Sci Lett 16(3):246–252. doi: 10.1002/asl2.549 CrossRefGoogle Scholar
  33. Frei P, Kotlarski S, Liniger MA, Schär C (2017) Snowfall in the Alps: evaluation and projections based on the EURO-CORDEX regional climate models. Cryosphere Discussions. doi: 10.5194/tc-2017-7
  34. Giorgi F, Hurrell JW, Marinucci MR, Beniston M (1997) Elevation dependency of the surface climate change signal: a model study. J Clim 10(2):288–296CrossRefGoogle Scholar
  35. Giorgi F, Torma C, Coppola E, Ban N, Schär C, Somot S (2016) Enhanced summer convective rainfall at Alpine high elevations in response to climate warming. Nature Geosci advance online publicationGoogle Scholar
  36. Grose M, Abbs D, Bhend J, Chiew F, Church J, Ekström M, Kirono D, Lenton A, Lucas C, McInnes K, Moise A, Monselesan D, Mpelasoka F, Webb L, Whetton P (2015a) Central Slopes Clust Rep. Climate change in Australia projections for australias natural resource management regions, Cluster reports, CSIRO and Bureau of Meteorology, AustraliaGoogle Scholar
  37. Grose M, Timbal B, Wilson L, Bathols J, Kent D (2015b) The subtropical ridge in CMIP5 models, and implications for projections of rainfall in southeast Australia. Aust Meteorol Oceanogr J 65:90–106CrossRefGoogle Scholar
  38. Gudmundsson L, Bremnes JB, Haugen JE, Engen-Skaugen T (2012) Technical note: downscaling RCM precipitation to the station scale using statistical transformations—a comparison of methods. Hydrol Earth Syst Sci 16(9):3383–3390. doi: 10.5194/hess-16-3383-2012 CrossRefGoogle Scholar
  39. Hall DK, Riggs GA, Salomonson VV, DiGirolamo NE, Bayr KJ (2002) MODIS snow-cover products. Remote Sens Environ 83(1):181–194CrossRefGoogle Scholar
  40. Hennessy K, Whetton P, Walsh K, Smith I, Bathols J, Hutchinson M, Sharples J (2008) Climate change effects on snow conditions in mainland Australia and adaptation at SKI resorts through snowmaking. Clim Res 35(3):255–270CrossRefGoogle Scholar
  41. Hock R (2003) Temperature index melt modelling in mountain areas. J Hydrol 282(1–4):104–115. doi: 10.1016/S0022-1694(03)00257-9 CrossRefGoogle Scholar
  42. Hughes L (2003) Climate change and australia: trends, projections and impacts. Austral Ecol 28(4):423–443. doi: 10.1046/j.1442-9993.2003.01300.x CrossRefGoogle Scholar
  43. Ivanov M, Kotlarski S (2016) Assessing distribution-based climate model bias correction methods over an alpine domain: added value and limitations. Int J Climatol. doi: 10.1002/joc.4870 Google Scholar
  44. Ji F, Evans JP, Teng J, Scorgie Y, Argüeso D, Di Luca A (2016) Evaluation of long-term precipitation and temperature Weather Research and Forecasting simulations for southeast Australia. Clim Res 67(2):99–115. doi: 10.3354/cr01366 CrossRefGoogle Scholar
  45. Jones DA, Wang W, Fawcett R (2009) High-quality spatial climate data-sets for Australia. Aust Meteorol Oceanogr J 58(4):233–248CrossRefGoogle Scholar
  46. Kienzle SW (2008) A new temperature based method to separate rain and snow. Hydrol Process 22(26):5067–5085. doi: 10.1002/hyp.7131 CrossRefGoogle Scholar
  47. King AD, Alexander LV, Donat MG (2013) The efficacy of using gridded data to examine extreme rainfall characteristics: a case study for Australia. Int J Climatol 33(10):2376–2387. doi: 10.1002/joc.3588 CrossRefGoogle Scholar
  48. Kotlarski S, Bosshard T, Lüthi D, Pall P, Schär C (2012) Elevation gradients of European climate change in the regional climate model COSMO-CLM. Clim Change 112(2):189–215. doi: 10.1007/s10584-011-0195-5 CrossRefGoogle Scholar
  49. Kotlarski S, Keuler K, Christensen OB, Colette A, Dqu M, Gobiet A, Goergen K, Jacob D, Lüthi D, van Meijgaard E, Nikulin G, Schär C, Teichmann C, Vautard R, Warrach-Sagi K, Wulfmeyer V (2014) Regional climate modeling on European scales: a joint standard evaluation of the EURO-CORDEX RCM ensemble. Geosci Model Dev 7(4):1297–1333. doi: 10.5194/gmd-7-1297-2014 CrossRefGoogle Scholar
  50. Maraun D (2012) Nonstationarities of regional climate model biases in European seasonal mean temperature and precipitation sums. Geophys Res Lett. doi: 10.1029/2012GL051210
  51. Nakićenović N, Alcamo J, Davis G, de Vries B, Fenhann J, Gaffin S, Gregory K, Grübler A, Jung TY, Kram T, Lebre La Rovere E, Michaelis L, Mori S, Morita T, Pepper W, Pitcher H, Price L, Riahi K, Roehrl A, Rogner HH, Sankovski A, Schlesinger M, Shukla P, Smith S, Swart R, van Rooijen S, Victor N, Dadi Z (2000) IPCC Special report on emissions scenarios (SRES). Cambridge University Press, UKGoogle Scholar
  52. Nicholls N (2005) Climate variability, climate change and the Australian snow season. Aust Meteorol Mag 54(3):177–185Google Scholar
  53. Olson R, Evans JP, Di Luca A, Argüeso D (2016) The NARCliM project: model agreement and significance of climate projections. Clim Res 69:209–227CrossRefGoogle Scholar
  54. Piani C, Haerter J, Coppola E (2010) Statistical bias correction for daily precipitation in regional climate models over Europe. Theor Appl Climatol 99(1–2):187–192. doi: 10.1007/s00704-009-0134-9 CrossRefGoogle Scholar
  55. Pickering C, Armstrong T (2003) The potential impacts of climate change on plant communities in the Kosciuszko alpine zone. Victorian Nat 120(1):15–23Google Scholar
  56. Prein A, Gobiet A, Truhetz H, Keuler K, Goergen K, Teichmann C, Fox Maule C, van Meijgaard E, Déqué M, Nikulin G, Vautard R, Colette A, Kjellström E, Jacob D (2015) Precipitation in the euro-cordex 0.11° and 0.44° simulations: high resolution, high benefits? Clim Dyn. doi: 10.1007/s00382-015-2589-y
  57. Prömmel K, Geyer B (2010) Evaluation of the skill and added value of a reanalysisdriven regional simulation for Alpine temperature. Int J Climatol. doi: 10.1002/joc.1916
  58. Qu X, Hall A (2007) What controls the strength of Snow-Albedo feedback? J Clim 20(15):3971–3981. doi: 10.1175/JCLI4186.1 CrossRefGoogle Scholar
  59. Riggs G, Hall D, Salomonson V (2006) MODIS Snow Products User Guide to Collection 5 George A. Riggs. Tech. repGoogle Scholar
  60. Robock A (1983) Ice and snow feedbacks and the latitudinal and seasonal distribution of climate sensitivity. Journal of the Atmospheric Sciences 40(4):986–997. doi:10.1175/1520-0469(1983) 040<0986:IASFAT>2.0.CO;2Google Scholar
  61. Rogelj J, Meinshausen M, Knutti R (2012) Global warming under old and new scenarios using IPCC climate sensitivity range estimates. Nat Clim Change 2(4):248–253. doi: 10.1038/nclimate1385 CrossRefGoogle Scholar
  62. Ruddell A, Budd WF, Smith IN, Keage PL, Jones R (1990) The south east Australian alpine climate study: a report by the Meteorology Department, University of Melbourne for the Alpine Resorts Commission. Department of Meteorology, University of MelbourneGoogle Scholar
  63. Schmidli J, Goodess CM, Frei C, Haylock MR, Hundecha Y, Ribalaygua J, Schmith T (2007) Statistical and dynamical downscaling of precipitation: an evaluation and comparison of scenarios for the European Alps. J Geophys Res. doi: 10.1029/2005JD007026
  64. Sellers W (1969) A global climatic model based on the energy balance of the earth-atmosphere system. Journal of Applied Meteorology 8(3):392–400. doi: 10.1175/1520-0450(1969) 008<0392:AGCMBO>2.0.CO;2
  65. Skamarock WC, Klemp JB, Dudhia J, Gill DO, Barker DM, Duda MG, Huang XY, Wang W, Powers JG (2008) Description of the advanced research WRF Version 3. NCAR Technical Note. Tech. rep. NCAR, BoulderGoogle Scholar
  66. Steger C, Kotlarski S, Jonas T, Schä C (2013) Alpine snow cover in a changing climate: a regional climate model perspective. Clim Dyn 41(3–4):735–754. doi: 10.1007/s00382-012-1545-3 CrossRefGoogle Scholar
  67. Thompson J (2016) A MODIS-derived snow climatology (2000–2014) for the Australian Alps. Clim Res 68(1):25–38. doi: 10.3354/cr01379 CrossRefGoogle Scholar
  68. Thompson J, Paull D, Lees B (2015) An improved liberal cloud-mask for addressing snow/cloud confusion with MODIS. Photogramm Eng Remote Sens 81(2):119–129. doi: 10.14358/PERS.81.2.119 CrossRefGoogle Scholar
  69. Thompson JA, Lees BG (2014) Applying object-based segmentation in the temporal domain to characterise snow seasonality. ISPRS J Photogramm Remote Sens 97:98–110. doi: 10.1016/j.isprsjprs.2014.08.010 CrossRefGoogle Scholar
  70. Timbal B, Drosdowsky W (2013) The relationship between the decline of Southeastern Australian rainfall and the strengthening of the subtropical ridge. Int J Climatol 33(4):1021–1034. doi: 10.1002/joc.3492 CrossRefGoogle Scholar
  71. Timbal B, Ekström M, Fiddes S, Grose M, Kirono DGC et al (2016) Climate change science and Victoria, Docklands, Vic. Bureau of MeteorologyGoogle Scholar
  72. Whetton P, Haylock M, Galloway R (1996) Climate change and snow-cover duration in the Australian Alps. Clim Change 32(4):447–479CrossRefGoogle Scholar
  73. Winter KJPM, Kotlarski S, Scherrer SC, Schr C (2017) The Alpine snow-albedo feedback in regional climate models. Clim Dyn 48(3–4):1109–1124. doi: 10.1007/s00382-016-3130-7 CrossRefGoogle Scholar
  74. Ye H, Cohen J, Rawlins M (2013) Discrimination of solid from liquid precipitation over Northern Eurasia using surface atmospheric conditions*. J Hydrometeorol 14(4):1345–1355CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.Climate Change Research Centre and ARC Centre of Excellence for Climate System ScienceUniversity of New South WalesSydneyAustralia
  2. 2.Office of Environment and HeritageDepartment of Planning and EnvironmentQueanbeyanAustralia

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