Spatial and seasonal variations in evapotranspiration over Canada's landmass

Hydrology and Earth System Sciences

Volumn 17, Issue 9, 2013, Pages 3561-3575

  Wang, S ^a   Yang, Y ^a   Luo, Y ^b   Rivera, A ^c  

^a CANADA CENTRE FOR REMOTE SENSING   (Canada)

^b ENVIRONMENT CANADA   (Canada)

^c GEOLOGICAL SURVEY OF CANADA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACTUAL EVAPOTRANSPIRATION; ARCTIC REGIONS; CLIMATE DATA; HIGH RESOLUTION; LAND SURFACE; SEASONAL VARIATION; SPATIO-TEMPORAL VARIATION; WATERRESOURCE MANAGEMENT;

CLIMATE MODELS; EVAPOTRANSPIRATION; WATER MANAGEMENT; WATER SUPPLY;

UNCERTAINTY ANALYSIS;

CLIMATE MODELING; DATA SET; EVAPOTRANSPIRATION; LAND SURFACE; NUMERICAL MODEL; PRECIPITATION (CLIMATOLOGY); RESOLUTION; RESOURCE MANAGEMENT; SPATIOTEMPORAL ANALYSIS; TEMPORAL VARIATION;

CANADA;

EID: 84885109331     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-17-3561-2013     Document Type: Article

References (67)

1. Agriculture and Agri-Food Canada: Soil Landscapes of Canada, V.2.2, Centre for Land and Biological Resources Research, Ottawa, 1996.
2. Amthor, J. S., Chen, J. M., Clein, J., Frolking, S. E., Goulden, M. L., Grant, R. F., Kimball, J. S., King, A. W., McGuire, A. D., Nikolov, N. T., Potter, C. S.,Wang, S., andWofsy, S.: Boreal forest CO2 and water vapour exchanges predicted by nine ecosystem process models: model results and relationships to measured fluxes, J. Geophys. Res., 106, 33623-33648, 2001.
3. Anderson, M. C., Allen, R. G., Morse, A., and Kustas,W. P.: Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources, Remote Sens. Environ., 122, 50-65, doi:10.1016/j.rse.2011.08.025, 2012.
4. Burns, B. M.: The climate of the Mackenzie Valley-Beaufort Sea, Climatological Studies, No. 24, Vol. 1, Atmospheric Environment Service, Downsview, Ontario, 227 pp., 1974.
5. Cleugh, H. A., Leuning, R., Mu, Q., and Running, S. W.: Regional evaporation estimates from flux tower and MODIS satellite data, Remote Sens. Environ., 106, 285-304, doi:10.1016/j.rse.2006.07.007, 2007. (Pubitemid 46127789)
6. Courault, D., Seguin, B., and Olioso, A.: Review on estimation of evapotranspiration from remote sensing data: From empirical to numerical modeling approaches, Irrig. Drain. Syst., 19, 223-249, 2005. (Pubitemid 43013240)
7. Cox, P. M., Betts, R. A., Bunton, C. B., Essery, R. L. H., Rowntree, P. R., and Smith, J.: The impact of new land surface physics on the GCM simulation of climate and climate sensitivity, Clim. Dynam., 15, 183-203, 1999. (Pubitemid 29240046)
8. Dai, A. and Trenberth, K. E.: Estimates of freshwater discharge from continents: Latitudinal and seasonal variations, J. Hydrometeorol., 3, 660-687, 2002. (Pubitemid 36122404)
9. Donohue, R. J., Roderick, M. L., and McVicar, T. R.: On the importance of including vegetation dynamics in Budyko's hydrological model, Hydrol. Earth Syst. Sci., 11, 983-995, doi:10.5194/hess-11-983-2007, 2007. (Pubitemid 46425715)
10. Fernandes, R., Butson, C., Leblanc, S., and Latifovic, R.: Landsat-5 TM and Landsat-7 ETM+ based accuracy assessment of leaf area index products for Canada derived from SPOT-4 VEGETATION data, Can. J. Remote Sens., 29, 241-258, 2003.
11. Fernandes, R., Korolevych, V., andWang, S.: Trends in Land Evapotranspiration over Canada for the Period 1960-2000 Based on In Situ Climate Observations and a Land Surface Model, J. Hydrometeorol., 8, 1016-1030, doi:10.1175/JHM619.1, 2007. (Pubitemid 350148661)
12. Gerosa, G.: Evapotranspiration-From Measurements to Agricultural and Environmental Applications, ISBN 978-953-307-512-9, InTech Pub., 2011.
13. Githui, F., Selle, B., and Thayalakumaran, T.: Recharge estimation using remotely sensed evapotranspiration in an irrigated catchment in southeast Australia, Hydrol. Process., 26, 1379-1389, doi:10.1002/hyp.8274, 2012.
14. GlobalView-CO2: Cooperative Atmospheric Data Integration Project-Carbon Dioxide, CD-ROM, NOAA ESRL, Boulder, Colorado, 2010.
15. Grant, R. F., Arain, A., Arora, V., Barr, A., Black, T. A., Chen, J., Wang, S., Yuan, F., and Zhang, Y.: Intercomparison of techniques to model high temperature effects on CO2 and energy exchange in temperate and boreal coniferous forests, Ecol. Model., 188, 217-252, 2005. (Pubitemid 41503170)
16. Grant, R. F., Zhang, Y., Yuan, F.,Wang, S., Hanson, P. J., Gaumont-Guay, D., Chen, J., Black, T. A., Barr, A., Baldocchi, D. D., and Arain, A.: Intercomparison of techniques to model water stress effects on CO2 and energy exchange in temperate and boreal deciduous forests, Ecol. Model., 196, 289-312, 2006.
17. Hanson, P. J., Amthor, J. S., Wullschleger, S. D., Wilson, K. B., Grant, R. F., Hartley, A., Hui, D., Hunt Jr., E. R., Johnson, D. W., Kimball, J. S., King, A. W., Luo, Y., McNulty, S. G., Sun, G., Thornton, P. E., Wang, S., Williams, M., Baldocchi, D. D., and Cushmann, R. M.: Oak forest carbon and water simulations: model intercomparisons and evaluations against independent data, Ecol. Monogr., 74, 443-489, 2004. (Pubitemid 39182903)
18. Hare, F. K.: Long-term annual surface heat and water balances over Canada and the United States south of 60-N: Reconciliation of precipitation, runoff and temperature field, Atmos. Ocean, 18, 127-153, doi:10.1080/07055900.1980. 9649083, 1980.
19. Hydrological Atlas of Canada:Water balance-Derived precipitation and evapotranspiration, Natural Resources Canada, available at: http://atlas.nrcan. gc.ca/site/english/maps/archives.html (last access: 18 September 2013), 1978.
20. Irmak, A.: Evapotranspiration-Remote Sensing and Modeling, ISBN 978-953-307-808-3, InTech Pub., 2012.
21. Kalma, J. D., McVicar, T. R., and McCabe, M. F.: Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data, Surv. Geophys., 29, 421-469, 2008.
22. Kite, G. W. and Droogers, P.: Comparing evapotranspiration estimates from satellites, hydrological models and field data, J. Hydrol., 229, 3-18, 2000. (Pubitemid 30218157)
23. Kljun, N., Black, T. A., Griffis, T. J., Barr, A. G., Gaumont-Guay, D., Morgenstern, K., McCaughey, J. H., and Nesic, Z.: Response of net ecosystem productivity of three boreal forests stands to drought, Ecosystems, 9, 1128-1144, doi:10.1007/s10021-005-0082-x, 2006. (Pubitemid 44833201)
24. Koster, R. D. and Milly, P. C. D.: The interplay between transpiration and runoff formulations in land surface schemes used with atmospheric models, J. Climate, 10, 1578-1591, 1997.
25. Kustas, W. and Anderson, M.: Advances in thermal infrared remote sensing for land surface modelling, Agr. Forest Meteorol., 149, 2071-2081, 2009.
26. Latifovic, R., Zhu, Z.-L., Cihlar, J., Giri, C., and Olthof, I.: Land cover mapping of North and Central America-Global Land Cover 2000, Remote Sens. Environ., 89, 116-127, 2004. (Pubitemid 38178928)
27. Li, Z. L., Tang, R., Wan, Z., Bi, Y., Zhou, C., Tang, B., Yan, G., and Zhang, X.: A Review of Current Methodologies for Regional Evapotranspiration Estimation from Remotely Sensed Data, Sensors, 9, 3801-3853, doi:10.3390/s90503801, 2009.
28. Li, Z., Zhang, Y., Wang, S., Yuan, G., Yang, Y., Yu, G., and Sun, X.: Evaluating the Models of Stomatal Conductance Response to Humidity in a Tropical Rain Forest of Xishuangbanna, Southwest China, Hydrol. Res., 42, 307-317, 2011.
29. Liu, J., Chen, J. M., and Cihlar, J.: Mapping evapotranspiration based on remote sensing: An application to Canada's landmass, Water Resour. Res., 39, 1189, doi:10.1029/2002WR001680, 2003.
30. Louie, P. Y. T., Hogg, W. D., MacKay, M. D., Zhang, X., and Hopkinson, R. F.: The water balance climatology of the Mackenzie basin with reference to the 1994/95 water year, Atmos. Ocean, 40, 159-180, 2002.
31. Mi, N., Yu, G. R., Wang, P. X., Wen, X. F., Sun, X. M., Zhang, L. M., Song, X., andWang, S.: Modeling seasonal variation of CO2 flux in a subtropical coniferous forest using the EALCO model, J. Plant Ecol., 31, 1119-1131, 2007.
32. Mi, N., Yu, G. R., Wen, X. F., Sun, X. M., Wang, S., Zhang, L. M., Song, X.: Use of Ecosystem Flux Data and a Simulation Model to examine Seasonal Drought Effects on a Subtropical Coniferous Forest, Asia-Pac. J. Atmos. Sci., 45, 207-220, 2009.
33. Molders, N. and Raabe, A.: Numerical investigations on the influence of subgrid-scale surface heterogeneity on evapotranspiration and cloud processes, J. Appl. Meteorol., 35, 782-795, 1996.
34. Morton, F. I.: Operational estimates of areal evapotranspiration and their significance to the science and practice of hydrology, J. Hydrol., 66, 1-76, 1983. (Pubitemid 14452713)
35. Mu, Q., Zhao, M., and Running, S. W.: Improvements to a MODIS global terrestrial evapotranspiration algorithm, Remote Sens. Environ., 115, 1781-1800, doi:10.1016/j.rse.2011.02.019, 2011.
36. Pomeroy, J. W. and Essery, R. L. H.: Turbulent fluxes during blowing snow: Field tests of model sublimation predictions, Hydrol. Process., 13, 2963-2975, 1999. (Pubitemid 30124184)
37. Potter, C. S., Wang, S., Nikolov, N. T., McGuire, A. D., Liu, J., King, A.W., Kimball, J. S., Grant, R. F., Frolking, S. E., Clein, J. S., Chen, J. M., and Amthor, J. S.: Comparison of boreal ecosystem model sensitivity to variability in climate and forest site parameters, J. Geophys. Res., 106, 33671-33687, 2001.
38. Renger, M., Strebel, O., Wessolek, G., and Duynisveld, W. H. M.: Evapotranspiration and groundwater recharge-A case study for different climate, crop patterns, soil properties and groundwater depth conditions, J. Plant Nutr. Soil Sci., 149, 371-381, 2007.
39. Saxton K. E. and Rawls, W. J.: Soil water characteristic estimates by texture and organic matter for hydrologic solutions, Soil Sci. Soc. Am. J., 70, 1569-1578, doi:10.2136/sssaj2005.0117, 2006. (Pubitemid 44373285)
40. Serreze, M. C., Bromwich, D. H., Clark, M. P., Ertringer, A. J., Zhang, T., and Lammers, R.: Large-scale hydro-climatology of the terrestrial Arctic drainage system, J. Geophys. Res., 108, 8160, doi:10.1029/2001JD000919, 2003.
41. Sheffield, J. and Wood, E. F.: Characteristics of global and regional drought, 1950-2000: Analysis of soil moisture data from off-line simulation of the terrestrial hydrologic cycle, J. Geophys. Res.-Atmos., 112, D17115, doi:10.1029/2006JD008288, 2007. (Pubitemid 350042311)
42. Sheffield, J., Goteti, G., and Wood, E. F.: Development of a 50-yr high-resolution global dataset of meteorological forcings for land surface modeling, J. Climate, 19, 3088-3111, 2006. (Pubitemid 44182707)
43. Sheffield, J., Wood, E. F., and Munoz-Arriola, F.: Long-term regional estimates of evapotranspiration for Mexico based on downscaled ISCCP data, J. Hydrometeorol., 11, 253-275, 2010.
44. Shukla, J. and Mintz, Y.: Influence of land-surface evapotranspiration on the earth's climate, Science, 215, 1498-1501, doi:10.1126/science.215.4539. 1498, 1982. (Pubitemid 13259386)
45. Strong, G. S.: Atmospheric moisture budget estimates of regional evapotranspiration from RES-91, Atmos. Ocean, 35, 29-63, doi:10.1080/07055900. 1997.9649584, 1997.
46. Su, F., Adam, J. C., Trenberth, K. E., and Lettenmaier, D. P.: Evaluation of surface water fluxes of the pan-Arctic land region with a land surface model and ERA-40 reanalysis, J. Geophys. Res., 111, D05110, doi:10.1029/2005JD006387, 2006.
47. Szeto, K. K.: Assessing water and energy budgets for the saskatchewan river basin, J. Meteorol. Soc. Jpn., 85A, 167-186, 2007. (Pubitemid 46767112)
48. Szeto, K. K., Tran, H., MacKay, M. D., Crawford, R., and Stewart, R. E.: The MAGS Water and Energy Budget Study, J. Hydrometeorol., 9, 96-115, doi:10.1175/2007JHM810.1, 2008.
49. Taha, H.: Urban climates and heat islands: albedo, evapotranspiration, and anthropogenic heat, Energ. Buildings, 25, 99-103, 1997. (Pubitemid 127416829)
50. Trenberth, K. E., Smith, L., Qian, T., Dai, A., and Fasullo, J.: Estimates of the global water budget and its annual cycle using observational and model data, J. Hydrometeorol., 8, 758-769, doi:10.1175/JHM600.1, 2007. (Pubitemid 47491199)
51. Van Niel, T. G., McVicar, T. R., Roderick, M. L., Van Dijk, A. I. J. M., Renzullo, L. J., and Van Gorsel, E.: Correcting for systematic error in satellite-derived latent heat flux due to assumptions in temporal scaling: Assessment from flux tower observations, J. Hydrol., 409, 140-148, 2011.
52. Vinukollu, R. K., Wood, E. F., Ferguson, C. R., and Fisher, J. B.: Global estimates of evapotranspiration for climate studies using multi-sensor remote sensing data: Evaluation of three processbased approaches, Remote Sens. Environ., 115, 801-823, 2011.
53. Wang, S.: Dynamics of land surface albedo for a boreal forest and its simulation, Ecol. Model., 183, 477-494, doi:10.1016/j.ecolmodel.2004.10.001, 2005. (Pubitemid 40323503)
54. Wang, S.: Simulation of evapotranspiration and its response to plant water and CO2 transfer dynamics, J. Hydrometeorol., 9, 426-443, doi:10.1175/2007JHM918.1, 2008.
55. Wang, S.: Evaluation of water stress impact on the parameter values in stomatal conductance models, J. Hydrometeorol., 13, 239-254, doi:10.1175/JHM-D-11-043.1, 2012.
56. Wang, S. and Yang, Y.: Lake evaporation and trends over the Canadian Landmass, Proceedings of the IEEE Geoscience and Remote Sensing Society (IGARSS) 2011 Conference, Vancouver, 24-29 July, 2011.
57. Wang, S., Grant, R. F., Verseghy, D. L., and Black, T. A.: Modelling plant carbon and nitrogen dynamics of a boreal aspen forest in CLASS-the Canadian Land Surface Scheme, Ecol. Model., 142, 135-154, 2001. (Pubitemid 32818030)
58. Wang, S., Grant, R. F., Verseghy, D. L., and Black, T. A.: Modelling carbon-coupled energy and water dynamics of a boreal aspen forest in a General Circulation Model land surface scheme, Int. J. Climatol., 22, 1249-1265, 2002a. (Pubitemid 34979591)
59. Wang, S., Grant, R. F., Verseghy, D. L., and Black, T. A.: Modelling carbon dynamics of boreal forest ecosystems using the Canadian Land Surface Scheme, Climatic Change, 55, 451-477, 2002b. (Pubitemid 35371760)
60. Wang, S., Trishchenko, A. P., and Sun, X.: Simulation of canopy radiation transfer and surface albedo in the EALCO model, Clim. Dynam., 29, 615-632, doi:10.1007/s00382-007-0252-y, 2007. (Pubitemid 47400025)
61. Wang, S., Yang, Y., and Trishchenko, A. P.: Assessment of canopy stomatal conductance models using flux measurements, Ecol. Model., 220, 2115-2118, doi:10.1016/j.ecolmodel.2009.04.044, 2009a.
62. Wang, S., Yang, Y., and Trishchenko, A. P., Barr, A. G., Black, T. A., and McCaughey, H.: Modelling the response of canopy stomatal conductance to humidity, J. Hydrometeorol., 10, 521-532, doi:10.1175/2008JHM1050.1, 2009b.
63. Wang, S., Yang, Y., and Geng, X.: How much water is available for groundwater recharge over the Canadian landmass? Proceedings of the GeoHydro2011 Conference, Quebec City, 28-31 August, 2011.
64. Widlowski, J.-L., Pinty, B., Clerici, M., Dai, Y., De Kauwe, de Ridder, K., Kallel, A., Kobayashi, H., Lavergne, T., Ni-Meister, W., Olchev, A., Quaife, T., Wang, S., Yang, W., Yang, Y., and Yuan, H.: RAMI4PILPS: An intercomparison of formulations for the partitioning of solar radiation in land surface models, J. Geophys. Res., 116, G02019, doi:10.1029/2010JG001511, 2011.
65. Yang, Y., Wang, S., Trishchenko, A. P., Luo, Y., and Geng, X.: Variations of absorbed photosynthetically active radiation over the Canadian Prairie in 2000-2008, J. Agr. Sci., 4, 57-68, doi:10.5539/jas.v4n2p57, 2012.
66. Zhang, K., Kimball, J. S., Nemani, R. R., and Running, S. W.: A continuous satellite-derived global record of land surface evapotranspiration from 1983 to 2006, Water Resour. Res., 46, W09522, doi:10.1029/2009WR008800, 2010.
67. Zhang, Y., Wang, S., Barr, A. G., and Black, T. A.: Impact of snow cover on soil temperature and its simulation in the EALCO model, Cold Reg. Sci. Technol., 52, 355-370, doi:10.1016/j.coldregions.2007.07.001, 2008. (Pubitemid 351448150)