Climate Dynamics

, Volume 48, Issue 9–10, pp 3227–3246 | Cite as

Lake–river and lake–atmosphere interactions in a changing climate over Northeast Canada

Article

Abstract

Lakes influence the regional climate and hydrology in a number of ways and therefore they should be represented in climate models in a realistic manner. Lack of representation of lakes in models can lead to errors in simulated energy and water fluxes, for lake-rich regions. This study focuses on the assessment of the impact of climate change on lakes and hydrology as well as on the influence of lakes on projected changes to regional climate and surface hydrology, particularly streamflows, for Northeast Canada. To this end, transient climate change simulations spanning the 1950–2100 period are performed, with and without lakes, with the fifth generation of the Canadian Regional Climate Model (CRCM5), driven by the Canadian Earth System Model (CanESM2) at the lateral boundaries for Representative Concentration Pathway 8.5. An additional CRCM5 simulation, driven by European Centre for Medium-Range Weather Forecasts Re-Analysis Interim (ERA-Interim) for the 1980–2010 period, is performed in order to assess performance and boundary forcing errors. Performance errors are assessed by comparing the ERA-Interim-driven simulation with available observation datasets, for the 1980–2010 period, for selected variables: 2-m air temperature, total precipitation, snow water equivalent and streamflow. The validation results indicate reasonable model performance over the study region. Boundary forcing errors are studied by comparing ERA-Interim-driven simulation with the one driven by CanESM2 for the current 1980–2010 period, to identify regions and seasons for which projected changes should be interpreted with extra caution. Comparison of projected changes from the CRCM5 simulations with and without lakes suggest that the presence of lakes results in a dampening of projected increases to 2-m air temperature for all seasons almost everywhere in the study domain, with maximum dampening of the order of 2 °C occurring during winter, mostly in the vicinity of the lakes. As for streamflows, projected increases to spring streamflows, based on the simulation with lakes, are found to be smaller than that without lakes and this is due to the storage effect of lakes. Similarly, lower decreases in summer streamflows in future climate are noted in the simulation with lakes due to the gradual release of snowmelt water stored in lakes. An additional CRCM5 transient climate change simulation with lakes and interflow, i.e. lateral flow in the soil layers, is compared with the simulation with lakes, but without interflow, to assess the impact of interflow on projected changes to regional climate and hydrology. Maximum interflow is projected to shift earlier in spring and the maximum interflow rate is expected to decrease by around 25 % in future. Results suggest that the impact of interflow on projected changes to precipitation, soil moisture and humidity are modest, even though the interflow intensity is changing noticeably in future climate. The impact of the interflow on projected changes to streamflows is in the range of ±50 m3/s. This study thus for the first time demonstrates the impact of lakes and interflow on projected changes to the regional climate and hydrology for the study region using a single regional modelling system.

Keywords

Climate change Regional climate modelling Streamflow modelling River modelling Lake modelling Lake–river interactions Lake-atmosphere interactions Extreme flows 

Notes

Acknowledgments

This research was carried out within the framework of the Canadian Network for Regional Climate and Weather Processes (CNRCWP) funded by the Natural Sciences and Engineering Research Council (NSERC) of Canada. The authors would like to thank the two anonymous reviewers, whose comments helped further improve the paper.

Supplementary material

382_2016_3260_MOESM1_ESM.docx (1 mb)
Supplementary material 1 (DOCX 1066 kb)

References

  1. Bennington V, Notaro M, Holman KD (2014) Improving climate sensitivity of deep lakes within a regional climate model and its impact on simulated climate. J Clim 27(8):2886–2911CrossRefGoogle Scholar
  2. Benoit R, Cote J, Mailhot J (1989) Inclusion of a Tke boundary-layer parameterization in the Canadian regional finite-element model. Mon Weather Rev 117(8):1726–1750CrossRefGoogle Scholar
  3. Brown RD, Brasnett B, Robinson D (2003) Gridded North American monthly snow depth and snow water equivalent for GCM evaluation. Atmos Ocean 41(1):1–14CrossRefGoogle Scholar
  4. Chow VT (1959) Open-channel hydraulics. McGraw-Hill, New YorkGoogle Scholar
  5. Collins M, Knutti R, Arblaster J, Dufresne J-L, Fichefet T, Friedlingstein P, Gao X, Gutowski W, Johns T, Krinner G (2013) Long-term climate change: projections, commitments and irreversibility. In: Working group I contribution to the IPCC fifth assessment report—climate change: the physical science basisGoogle Scholar
  6. Cote J, Gravel S, Methot A, Patoine A, Roch M, Staniforth A (1998) The operational CMC-MRB global environmental multiscale (GEM) model. Part I: design considerations and formulation. Mon Weather Rev 126(6):1373–1395CrossRefGoogle Scholar
  7. Delage Y (1997) Parameterising sub-grid scale vertical transport in atmospheric models under statically stable conditions. Bound Layer Meteorol 82(1):23–48CrossRefGoogle Scholar
  8. Delage Y, Girard C (1992) Stability functions correct at the free-convection limit and consistent for both the surface and ekman layers. Bound Layer Meteorol 58(1–2):19–31CrossRefGoogle Scholar
  9. Döll P, Kaspar F, Lehner B (2003) A global hydrological model for deriving water availability indicators: model tuning and validation. J Hydrol 270(1–2):105–134CrossRefGoogle Scholar
  10. Dutra E, Stepanenko VM, Balsamo G, Viterbo P, Miranda PMA, Mironov D, Schar C (2010) An offline study of the impact of lakes on the performance of the ECMWF surface scheme. Boreal Environ Res 15(2):100–112Google Scholar
  11. Garnaud C, Sushama L (2015) Biosphere–climate interactions in a changing climate over North America. J Geophy Res Atmos 120(3):1091–1108Google Scholar
  12. Goyette S, McFarlane N, Flato GM (2000) Application of the Canadian regional climate model to the Laurentian Great Lakes region: implementation of a lake model. Atmos Ocean 38(3):481–503CrossRefGoogle Scholar
  13. Gu HP, Jin JM, Wu YH, Ek MB, Subin ZM (2013) Calibration and validation of lake surface temperature simulations with the coupled WRF-lake model. Clim Change 129(3–4):471–483Google Scholar
  14. Harris I, Jones PD, Osborn TJ, Lister DH (2014) Updated high-resolution grids of monthly climatic observations— the CRU TS3.10 dataset. Int J Climatol 34(3):623–642CrossRefGoogle Scholar
  15. Hartmann DL, Tank AMGK, Rusticucci M, Alexander LV, Brönnimann S, Charabi Y, Dentener FJ, Dlugokencky EJ, Easterling E, Kaplan A, Soden BJ, Thorne PW, Wild M, Zhai PM (2013) Observations: atmosphere and surface. In: Working group I contribution to the IPCC fifth assessment report—climate change: the physical science basisGoogle Scholar
  16. Hopkinson RF, McKenney DW, Milewska EJ, Hutchinson MF, Papadopol P, Vincent LA (2011) Impact of aligning climatological day on gridding daily maximum-minimum temperature and precipitation over Canada. J Appl Meteorol Climatol 50(8):1654–1665CrossRefGoogle Scholar
  17. Hostetler SW, Bates GT, Giorgi F (1993) Interactive coupling of a lake thermal-model with a regional climate model. J Geophys Res Atmos 98(D3):5045–5057CrossRefGoogle Scholar
  18. Huziy O, Sushama L (2016) Impact of lake–river connectivity and interflow on the Canadian RCM simulated regional climate and hydrology for Northeast Canada. Clim Dyn 1–17. doi: 10.1007/s00382-016-3104-9
  19. Huziy O, Sushama L, Khaliq M, Laprise R, Lehner B, Roy R (2013) Analysis of streamflow characteristics over Northeastern Canada in a changing climate. Clim Dyn 40(7):1879–1901CrossRefGoogle Scholar
  20. Kain JS, Fritsch JM (1990) A one-dimensional entraining detraining plume model and its application in convective parameterization. J Atmos Sci 47(23):2784–2802CrossRefGoogle Scholar
  21. Khaliq MN, Ouarda TBMJ, Gachon P, Sushama L, St-Hilaire A (2009) Identification of hydrological trends in the presence of serial and cross correlations: a review of selected methods and their application to annual flow regimes of Canadian rivers. J Hydrol 368(1–4):117–130CrossRefGoogle Scholar
  22. Kourzeneva E (2010) External data for lake parameterization in numerical weather prediction and climate modeling. Boreal Environ Res 15(2):165–177Google Scholar
  23. Kuo H-L (1965) On formation and intensification of tropical cyclones through latent heat release by cumulus convection. J Atmos Sci 22(1):40–63CrossRefGoogle Scholar
  24. Laprise R (1992) The euler equations of motion with hydrostatic pressure as an independent variable. Mon Weather Rev 120(1):197–207CrossRefGoogle Scholar
  25. Lehner B, Verdin K, Jarvis A (2008) New global hydrography derived from spaceborne elevation data. EOS Trans AGU 89(10):93CrossRefGoogle Scholar
  26. Li J, Barker HW (2005) A radiation algorithm with correlated-k distribution. Part I: local thermal equilibrium. J Atmos Sci 62(2):286–309CrossRefGoogle Scholar
  27. Martynov A, Sushama L, Laprise R, Winger K, Dugas B (2012) Interactive lakes in the Canadian regional climate model, version 5: the role of lakes in the regional climate of North America. Tellus A 64, 16226Google Scholar
  28. Martynov A, Laprise R, Sushama L, Winger K, Šeparović L, Dugas B (2013) Reanalysis-driven climate simulation over CORDEX North America domain using the Canadian regional climate model, version 5: model performance evaluation. Clim Dyn 41:2973–3005Google Scholar
  29. McFarlane NA (1987) The effect of orographically excited gravity wave drag on the general circulation of the lower stratosphere and troposphere. J Atmos Sci 44(14):1775–1800CrossRefGoogle Scholar
  30. Mironov D, Heise E, Kourzeneva E, Ritter B, Schneider N, Terzhevik A (2010) Implementation of the lake parameterisation scheme FLake into the numerical weather prediction model COSMO. Boreal Environ Res 15(2):218–230Google Scholar
  31. Notaro M, Holman K, Zarrin A, Fluck E, Vavrus S, Bennington V (2013a) Influence of the Laurentian Great Lakes on regional climate. J Clim 26(3):789–804CrossRefGoogle Scholar
  32. Notaro M, Zarrin A, Vavrus S, Bennington V (2013b) Simulation of heavy lake-effect snowstorms across the Great Lakes Basin by RegCM4: synoptic climatology and variability. Mon Weather Rev 141(6):1990–2014CrossRefGoogle Scholar
  33. Patterson J, Hamblin P (1988) Thermal simulation of a lake with winter ice cover. Limnol Oceanogr 33(3):323–338CrossRefGoogle Scholar
  34. Poitras V, Sushama L, Seglenieks F, Khaliq MN, Soulis E (2011) Projected Changes to streamflow characteristics over western canada as simulated by the Canadian RCM. J Hydrometeorol 12(6):1395–1413CrossRefGoogle Scholar
  35. Samuelsson P, Kourzeneva E, Mironov D (2010) The impact of lakes on the European climate as simulated by a regional climate model. Boreal Environ Res 15(2):113–129Google Scholar
  36. Separovic L, Alexandru A, Laprise R, Martynov A, Sushama L, Winger K, Tete K, Valin M (2013) Present climate and climate change over North America as simulated by the fifth-generation Canadian regional climate model. Clim Dyn 41(11–12):3167–3201CrossRefGoogle Scholar
  37. Smakhtin VU (2001) Low flow hydrology: a review. J Hydrol 240(3–4):147–186CrossRefGoogle Scholar
  38. Soulis ED, Snelgrove KR, Kouwen N, Seglenieks F, Verseghy DL (2000) Towards closing the vertical water balance in Canadian atmospheric models: coupling of the land surface scheme CLASS with the distributed hydrological model WATFLOOD. Atmos Ocean 38(1):251–269CrossRefGoogle Scholar
  39. Sundqvist H, Berge E, Kristjánsson JE (1989) Condensation and cloud parameterization studies with a mesoscale numerical weather prediction model. Mon Weather Rev 117(8):1641–1657CrossRefGoogle Scholar
  40. Uppala SM, Kallberg PW, Simmons AJ, Andrae U, Bechtold VD, Fiorino M, Gibson JK, Haseler J, Hernandez A, Kelly GA, Li X, Onogi K, Saarinen S, Sokka N, Allan RP, Andersson E, Arpe K, Balmaseda MA, Beljaars ACM, Van De Berg L, Bidlot J, Bormann N, Caires S, Chevallier F, Dethof A, Dragosavac M, Fisher M, Fuentes M, Hagemann S, Holm E, Hoskins BJ, Isaksen L, Janssen PAEM, Jenne R, McNally AP, Mahfouf JF, Morcrette JJ, Rayner NA, Saunders RW, Simon P, Sterl A, Trenberth KE, Untch A, Vasiljevic D, Viterbo P, Woollen J (2005) The ERA-40 re-analysis. Q J R Meteorol Soc 131(612):2961–3012CrossRefGoogle Scholar
  41. Verseghy DL (1991) CLASS—a Canadian land surface scheme for GCMs.1. Soil model. Int J Climatol 11(2):111–133CrossRefGoogle Scholar
  42. Verseghy DL (1996) Local climates simulated by two generations of Canadian GCM land surface schemes. Atmos Ocean 34(3):435–456CrossRefGoogle Scholar
  43. Webb RS, Rosenzweig CE, Levine ER (1993) Specifying land surface characteristics in general-circulation models—soil-profile data set and derived water-holding capacities. Global Biogeochem Cycles 7(1):97–108CrossRefGoogle Scholar
  44. Welch BL (1947) The Generalization of students problem when several different population variances are involved. Biometrika 34(1–2):28–35Google Scholar
  45. Willmott CJ, Matsuura K (1995) smart interpolation of annually averaged air-temperature in the United-States. J Appl Meteorol 34(12):2577–2586CrossRefGoogle Scholar
  46. Yeh KS, Cote J, Gravel S, Methot A, Patoine A, Roch M, Staniforth A (2002) The CMC-MRB global environmental multiscale (GEM) model. Part III: nonhydrostatic formulation. Mon Weather Rev 130(2):339–356CrossRefGoogle Scholar
  47. Zadra A, Roch M, Laroche S, Charron M (2003) The subgrid-scale orographic blocking parametrization of the GEM Model. Atmos Ocean 41(2):155–170CrossRefGoogle Scholar
  48. Zadra A, McTaggart-Cowan R, Roch M (2012) Recent changes to the orographic blocking. Seminar presentation, RPN, Dorval, Canada retrieved 30 Dec 2013Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Centre ESCER (Étude Simulation du Climat à l’Échelle Régionale)University of Quebec at MontrealMontrealCanada

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