Open Access

Application of a technique for scenario prediction of climate change impact on the water balance components of northern river basins


Cite

Appolov, B.A., Kalinin, G.P., Komarov, V.D., 1974. Course of Hydrological Forecasts. Gidrometeoizdat, Leningrad. (In Russian.) Search in Google Scholar

Arora, V.K., Boer, J., 2001. Effects of simulated climate change on the hydrology of major river basins. J. Geophys. Res., 106, D4, 3335-3348.10.1029/2000JD900620Search in Google Scholar

Arora, V., Seglenieks, F., Kouwen, N., Soulis, E., 2001. Scaling aspects of river flow routing. Hydrol. Process., 15, 3, 461-477.10.1002/hyp.161Search in Google Scholar

Barry, R.G., Serreze, M.C., 2000. Atmospheric components of the arctic ocean freshwater balance and their interannual variability. In: Lewis, E.L. et al. (Eds): The Freshwater Budget of the Arctic Ocean. Springer, New York, pp. 45-56.10.1007/978-94-011-4132-1_3Search in Google Scholar

Budagovskii, A.I., 1981. Evaporation of soil water. In: Physics of Soil Water. Nauka, Moscow, pp. 13-95. (In Russian.) Search in Google Scholar

Budagovskii, A.I., 1989. Semiempirical theory of the transpiration and water regime of vegetation. Vodnye Resur., 2, 5-17. (In Russian.) Search in Google Scholar

Duan, Q., Sorooshian, S., Gupta, V.K., 1992. Effective and efficient global optimization for conceptual rainfall runoff models. Water Resour. Res., 28, 4, 1015-1031.10.1029/91WR02985Search in Google Scholar

Field, C.B., Jackson, R.B., Mooney, H.A., 1995. Stomatal responses to increased CO2: implications from the plant to the global scale. Plant, Cell and Environment, 18, 1214-1225.10.1111/j.1365-3040.1995.tb00630.xSearch in Google Scholar

Gusev, E.M., Nasonova, O.N., 2000. Parameterization of processes of heat and water exchange in the system “soil water - soil - vegetation / snow - atmosphere” for territories with a clearly pronounced seasonal climate variability. Pochvovedenie, 6, 733-748. (In Russian.) Search in Google Scholar

Gusev, Е.М., Nasonova, O.N., 2004. Modelling the processes of heat and water exchange between the land surface and the atmosphere on a local scale for the areas with permafrost. Pochvovedenie, 9, 1077-1092. (In Russian.) Search in Google Scholar

Gusev, E.M., Nasonova, O.N., 2007. Technique for estimating the dynamics of water and carbon budgets of a coniferous forest ecosystem. Izvestiya, Atmospheric and Oceanic Physics, 43, 1, 70-80.10.1134/S0001433807010082Search in Google Scholar

Gusev, E.M., Nasonova, O.N., 2011a. Modelling Heat- and Water Exchange of the Land Surface with the Atmosphere. Nauka, Moscow. (In Russian.) Search in Google Scholar

Gusev, E.M., Nasonova, O.N., 2013. A technique for scenario prediction of changes in water balance components in northern river basins in the context of possible climate change. Water Resour., 40, 4, 426-440.10.1134/S0097807813040040Search in Google Scholar

Gusev, E.M., Nasonova, O.N., Dzhogan, L.Y., 2006a. The simulation of runoff from small catchments in the permafrost zone by the SWAP model. Water Resour., 33, 2, 115-126.10.1134/S0097807806020011Search in Google Scholar

Gusev, E.M., Nasonova, O.N., Kovalev, E.E., 2006b. Modeling the components of heat and water balance for the land surface of the globe. Water Resour., 33, 6, 616-627.10.1134/S0097807806060030Search in Google Scholar

Gusev, E.M., Nasonova, O.N., Dzhogan, L.Y., Kovalev, E.E., 2008. The application of the land surface model for calculating river runoff in high latitudes. Water Resour., 35, 2, 171-184.10.1134/S009780780802005XSearch in Google Scholar

Gusev, E.M., Nasonova, O.N., Dzhogan, L.Y., 2010. Reproduction of Pechora runoff hydrographs with the help of a model of heat and water exchange between the land surface and the atmosphere (SWAP). Water Resour., 37, 2, 182-193.10.1134/S0097807810020065Search in Google Scholar

Gusev, E.M., Nasonova, O.N., Dzhogan, L.Y., 2011a. Modeling river runoff in northwestern Russia with the use of land surface model SWAP and global databases. Water Resour., 38, 5, 571-582.10.1134/S0097807811050101Search in Google Scholar

Gusev, E.M., Nasonova, O.N., Dzhogan, L.Y., Kovalev, E.E., 2011b. Northern dvina runoff simulation using land-surface model SWAP and global databases. Water Resour., 38, 4, 470-483.10.1134/S0097807811030043Search in Google Scholar

Gusev, Y.M., Nasonova, O.N., 2003. The simulation of heat and water exchange in the boreal spruce forest by the landsurface model SWAP. J. Hydrol. 280, 1-4, 162-191.10.1016/S0022-1694(03)00221-XSearch in Google Scholar

Gusev, Y.M., Nasonova, O.N., 2011b. Parameter optimization for simulating runoff from highlatitude river basins using land surface model and global data sets. In: Dritsas, I. (Ed.): Stochastic Optimization - Seeing the Optimal for the Uncertain. InTech, Rijeka, Croatia, pp. 413-440.Search in Google Scholar

Houghton, J.T., Ding, Y., Griggs, D.J., Noguer, M., van der Linden, P.J., Dai, X., Maskell, K., Johnson, C.A. (Eds.), 2001. Climate Change 2001: The Scientific Basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge and New York.Search in Google Scholar

Leggett, J., Pepper, W.J., Swart, R.J., Edmonds, J., Meira Filho L.G., Mintzer, I., Wang, M.X., Watson, J., 1992. Emissions Scenarios for the IPCC: an Update. Climate Change 1992: The Supplementary Report to the IPCC Scientific Assessment. Cambridge University Press, UK.Search in Google Scholar

Liston, G.E., Sud, Y.C., Wood, E.F., 1994. Evaluating GCM land surface hydrology parameterizations by computing riv er discharges using a runoff routing model: Application to the Mississippi Basin. J. Appl. Meteorol., 33, 394-405.10.1175/1520-0450(1994)033<0394:EGLSHP>2.0.CO;2Search in Google Scholar

Lozinskaya, E.A., 1988. Method and results of determining the parameters of a model of evapotranspiration. Vodnye Resur., 4, 17-23. (In Russian.) Maherali, H., Reid, C.D., Polley, H.W., Johnson, N.H.B., Jackson, R.B., 2002. Stomatal acclimation over a sub-ambient to elevated CO2 gradient in a C3 /C4 grassland. Plant, Cell and Environment, 25, 557-566.10.1046/j.1365-3040.2002.00832.xSearch in Google Scholar

Matveev, L.T., 1979. Course of General Meteorology. Atmospheric Physics. Gidrometeoizdat, Leningrad. (In Russian.) Search in Google Scholar

Meleshko, V.P., Golitsyn, G.S., Govorkova, V.A. et al., 2003. Possible anthropogenic changes in the climate of Russia in the 21st century: Estimations from an ensemble of climate models. In: Proceedings of World Conference on Climate Change, Inst. Glob. Climate and Ecology, Moscow, pp. 51-52. (In Russian.) Search in Google Scholar

Meleshko, V.P., Golitsyn, G.S., Govorkova, V.A. et al., 2004.Search in Google Scholar

Possible anthropogenic changes in the climate of Russia in the 21st century: Estimations from an ensemble of climate models. Meteorol. Gidrol., 4, 38-49. (In Russian.) Search in Google Scholar

Miller, J.R., Russell, G.L., 1992. The impact of global warming on river runoff. J. Geophys. Res., 97, 2757-2764.10.1029/91JD01700Search in Google Scholar

Model for the Assessment of Greenhouse-gas Induced Climate Change, 2000. Concepts and Design: Wigley T.M.L., Raper S.C.B., Hulme M., Salmon M. Model Development and Scientific Programming: Wigley T.M.L., Raper S.C.B., Osborn T.J. Graphical User Interface: Salmon, M. Published by the Climatic Research Unit, University of East Anglia, Norwich, UK and the National Communications Support Programme, UNDP / GEF, New York.Search in Google Scholar

Nash, J.E., Sutcliffe, J.V., 1970. River flow forecasting through conceptual models: 1. A discussion of principles. J. Hydrol., 10, 3, 282-290.10.1016/0022-1694(70)90255-6Search in Google Scholar

Nebojsa, N., Alcamo, J., Davis, G., De Vries, B., Fenhann, J., Gaffin, S., Gregory, K., Grübler, A., Tae, Y., Kram, T., LA Rovere, E.L., Michaelis, L., Mori, S., Morita, T., Pepper, W., Pitcher, H., Price, L., Riahi, K., Roehrl, A., Rogner, H., Sankovski, A., Schlesinger, M., Shukla, P., Smith, S., Swart, R., van Rooijen, S., Victor, N., Dadi, Z., 2000. IPCC Special Report on Emissions Scenarios: A Special Report of Working Group III of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge.Search in Google Scholar

Nohara, D., Kiton, A., Hosaka, M., Oki, T., 2006. Impact of climate change on river discharge projected by multimodal ensemble. J. Hydrometeorology, 7, 1076-1089.10.1175/JHM531.1Search in Google Scholar

Pepper, W.J., Leggett, R.J., Swart, R.J., Watson, J., Edmonds, J., Mintzer, I., 1992. Emission Scenarios for the IPCC: An Update, Assumptions, Methodology, and Results. US Environmental Protection Agency, Washington.Search in Google Scholar

Pivovarova, Z.I., 1977. Radiation Characteristics of Climate of the USSR. Gidrometeoizdat, Leningrad. (In Russian.) Search in Google Scholar

Polley, H.W., Johnson, H.B., Mayeux, H.S., 1997. Leaf physiology, production, water use, and nitrogen dynamics of the grassland invader Acacia smallii at elevated CO2 concentrations. Tree Physiology, 71, 89-96.10.1093/treephys/17.2.89Search in Google Scholar

Shmakin, A.B., 1998. The updated version of SPONSOR land surface scheme: PILPS-influenced improvements. Global Plan. Change, 19, 1-4, 49-62.10.1016/S0921-8181(98)00041-1Search in Google Scholar

Wilby, R.L., Wigley, T.M.L., 1997. Downscaling general circulation model output: a review of methods and limitations. Progr. Phys. Geogr., 21, 530-548.10.1177/030913339702100403Search in Google Scholar

WMO, 1994. Guide to Hydrological Practices. WMO No.168. World Meteorological Organization, Geneva.Search in Google Scholar

Zhao, M., Dirmeyer, P., 2003. Production and Analysis of GSWP-2 near-surface meteorology data sets. COLA Technical Report No. 159. Center for Ocean-Land-Atmosphere Studies, Calverton. Search in Google Scholar

eISSN:
0042-790X
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Engineering, Introductions and Overviews, other