Abstract
In the context of the EU-Project BALANCE (http://balance-eu.info) the regional climate model REMO was used for extensive calculations of the Barents Sea climate to investigate the vulnerability of this region to climate change. The regional climate model REMO simulated the climate change of the Barents Sea Region between 1961 and 2100 (Control and Climate Change run, CCC-Run). REMO on ~50 km horizontal resolution was driven by the transient ECHAM4/OPYC3 IPCC SRES B2 scenario. The output of the CCC-Run was applied to drive the dynamic vegetation model LPJ-GUESS. The results of the vegetation model were used to repeat the CCC-Run with dynamic vegetation fields. The feedback effect of the modified vegetation on the climate change signal is investigated and discussed with focus on precipitation, temperature and snow cover. The effect of the offline coupled vegetation feedback run is much lower than the greenhouse gas effect.
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ACIA (2004) Impacts of a warming Arctic climate impact assessment. Overview report. Cambridge University Press, Cambridge, p 146
Andréasson J, Bergström S, Carlsson B, Graham LP, Lindström G (2004) Hydrological change – climate change impact simulations for Sweden. Ambio 33:228–234
Bengtsson L, Hodges K, Roeckner E (2006) Storm tracks and climate change. J Climate 19:3518–3543
Bergström S (1992) The HBV Model – its structure and applications, SMHI Reports Hydrology no. 4, Norrköping
Beringer J, Chapin FS, Thompson CC, McGuire AD (2005) Surface energy exchanges along a tundra–forest transition and feedbacks to climate. Agric For Meteorol 131:143–161
Betts AK, Ball JH (1997) Albedo over the boreal forest. J Geophys Res 100:28901–28913
Brasseur O (2001) Development and application of a physical approach to estimating wind gusts. Mon W Rev 129:5–25
Cosgrove B, Barron E, Pollard D (2002) A simple interactive vegetation model coupled to the GENESIS GCM. Glob Planet Change 32:253–278
Dethloff K, Rinke A, Lehmann R, Christensen JH, Botzet M, Machenhauer B (1996) A regional climate model of the Arctic atmosphere. J Geophys Res 101:23401–23422
Dethloff K, Abegg C, Rinke A, Hebestadt I, Romanov V (2001) Sensitivity of Arctic climate simulations to different boundary layer parameterizations in a regional climate model. Tellus 53A:1–26
Dethloff K, Rinke A, Benkel A, Koltzow M, Sokolova E, Saha SK, Handorf D, Dorn W, Rockel B, von Storch H, Haugen JE, Roed LP, Roeckner E, Christensen JH, Stendel M (2006) A dynamical link between the Arctic and the global climate system. Geophys Res Lett 33:L03703
Foley J, Prentice I, Ramankutty N, Levis S, Pollard D, Sitch S, Haxeltine A (1996) An integrated biosphere model of land surface processes, terrestrial carbon balance, and vegetation dynamics. Glob Biogeochem Cycles 10:603–628
Hagemann S, Botzet M, Dümenil L, Machenhauer B (1999) Derivation of global GCM boundary conditions from 1 km land use satellite data, MPI Report no. 289. Max Planck Institute for Meteorology, Hamburg
Hagemann S (2002) An improved land surface parameter dataset for global and regional climate models, MPI Report no. 336. Max Planck Institute for Meteorology, Hamburg
Hagemann S, Dümenil L (2003) Improving a subgrid runoff parameterization scheme for climate models by the use of high resolution data derived from satellite observations. Clim Dyn 21:349–359
Hedstrom NR, Pomeroy JW (1998) Measurements and modelling of snow interception in the boreal forest. Hydrol Process 12:1611–1625
Hickler T, Smith B, Sykes MT, Davis MB, Sugita S, Walkers K (2004) Using a generalized vegetation model to simulate vegetation dynamics in north-eastern USA. Ecology 85:519–530
Houghton JT, Ding Y, Griggs DJ, Nouger M, van der Linden PJ, Dai X, Maskell K, Johnson CA (2001) Climate Change 2001. The scientific basis, contribution of Working Group I to the Third Assessment Report of the Governmental Panel on Climate Change. Cambridge University Press, Cambridge
Hurrel JW, Kushnir Y, Visbeck M, Ottersen G (2003) An overview of the north atlantic oscillation. In: Hurrel JW, Kushnir Y, Ottersen G, Visbeck M (eds) The North Atlantic Oscillation: climate significance and environmental impact. Monograph, vol 134. American Geophysical Union, Washington, DC, pp 1–35
Jacob D (2001) A note to the simulation of annual and inter-annual variability of water budget over the Baltic Sea drainage basin. Meteorol Atmos Phys 77:61–73
Jacob D, Podzun R (1997) Sensitivity studies with the regional climate model REMO. Meteorol Atmos Phys 63:119–129
Jacob D, Goettel H, Jungclaus J, Muskulus M, Podzun R, Marotzke J (2005) Slowdown of the thermohaline circulation causes enhanced maritime climate influence and snow cover over Europe. Geophys Res Lett 32:L21711
Keup-Thiel E, Goettel H, Jacob D (2006) Regional climate simulations for the Barents Sea region. Boreal Environ Res 11:329–339
Kimball JS, Keyser AR, Running SW, Saatchi SS (2000) Regional assessment of boreal forest productivity using an ecological process model and remote sensing parameter maps. Tree Physiol 20:761–775
Koca D, Smith B, Sykes MT (2006) Modelling regional climate change effects on potential natural ecosystems in Sweden. Clim Change 78:381–406
Lehmann AP, Lorenz P, Jacob D (2004) Modelling the exceptional Baltic Sea inflow events in 2002–2003. Geophys Res Lett 31:L21308
Lynch AH, Chapman WL, Walsh JE, Weller G (1995) Development of a regional climate model of the western arctic. J Climate 8:1555–1570
Lynch AH, McGinnis DL, Bailey DA (1998) Snow-albedo feedback and the spring transition in a regional climate system model: Influence of land surface model. J Geophys Res 103:29037–39049
Lynch AH, Maslanik JA, Wu W (2001) Mechanisms in the development of anomalous sea ice extent in the western Arctic: A case study. J Geophys Res 106:28097–28105
Lynch AH, Curry JA, Brunner RD, Maslanik JA (2004) Toward an integrated assessment of the impacts of extreme wind events on Barrow. Bull Am Meteorol Soc 85:209–221
Majewski D (1991) The Europa-Modell of the Deutscher Wetterdienst. In: ECMWF Seminar on Numerical Methods in Atmospheric Models, vol 2, pp 147–191
Oberhuber JM (1993) The OPYC ocean general circulation model. Report no. 7. Deutsches Klimarechenzentrum GmbH, Hamburg
Olson JS (1994) Global ecosystem framework – definitions. USGS EROS Data Center Internal Report, Sioux Falls, p 37
Pfeifer S, Jacob D (2005) Changes of the Arctic Climate under the SRES B2 Scenario Conditions simulated with the Regional Climate Model REMO. Meteorol Z 16:711–719
Prentice I, Cramer W, Harrison S, Leemans R, Monserud R, Solomon A (1992) A global biome model based on plant physiology and dominance, soil properties and climate. J Biogeogr 19:117–134
Przybylak R (2002) Variability of air temperature and atmospheric precipitation in the arctic. Atmos Oceanogr Sci Libr 25:1–330
Raschke E, Meywerk J, Warrach K, Andrae U, Bergstroem S, Beyrich F, Bosveld F, Bumke K, Fortelius C, Graham LP, Gryning SE, Halldin S, Hasse L, Heikinheimo M, Isemer HJ, Jacob D, Jauja I, Karlsson KG, Keevallik S, Koistinen J, van Lammeren A, Lass U, Launiainen J, Lehmann A, Liljebladh B, Lobmeyr M, Matthäus W, Mengelkamp T, Michelson DB, Napiorkowski J, Omstedt A, Piechura J, Rockel B, Rubel F, Ruprecht E, Smedman AS, Stigebrandt A (2001) BALTEX (Baltic Sea Experiment): A European Contribution to Investigate the Energy and Water Cycle over a Large Drainage Basin. Bull Am Meteorol Soc 82:2389–2413
Raschke E, Karstens U, Nolte-Holube R, Brandt R, Isemer HJ, Hoffmann D, Lobmeyer M, Rockel B, Stuhlmann R (1998) The Baltic Sea Experiment BALTEX: a brief overview and some selected results of the authors. Surv Geophys 19:1–22
Rechid D, Jacob D (2006) Influence of seasonally varying vegetation on the simulated climate in Europe. Meteorol Z 15:99–116
Rinke A, Dethloff K, Cassano JJ, Christensen JH, Curry JA, Du P, Girard E, Haugen JE, Jacob D, Jones CG, Koltzow M, Laprise R, Lynch AH, Pfeifer S, Serreze MC, Shaw MJ, Tjernström M, Wyser K, Zagar M (2006) Evaluation of an ensemble of Arctic regional climate models: spatiotemporal fields during the SHEBA year. Clim Dyn 26:459–472
Robinson DA, Kukla G (1985) Maximum surface albedo of seasonally snow covered lands in the northern hemisphere. J Clim Appl Meterol 24:402–411
Roeckner E, Arpe K, Bengtsson L, Christoph M, Claussen M, Dümenil L, Esch M, Giorgetta M, Schlese U, Schulweida U (1996) The atmospheric general circulation model ECHAM4: model description and simulation of present-day climate. Report no. 218. Max-Planck Institute für Meteorologie, Hamburg
Roeckner E, Bengtsson L, Feichter J, Lelieveld J, Rohde H (1999) Transient climate change simulations with a coupled Atmosphere–Ocean GCM including the tropospheric sulfur cycle. J Climate 12:3004–3032
Rouse WR (1984) Microclimate at Arctic tree line, radiation balance of tundra and forest. Water Resour Res 20:57–66
Schurgers G, Mikolajewicz U, Gröger M, Maier-Reimer E, Vizcaíno M, Winguth A (2007) The effect of land surface changes on Eemian climate. Clim Dyn 20:357–373
Sitch S, Smith B, Prentice I, Arneth A, Bondeau A, Cramer W, Kaplan J, Levis S, Lucht W, Sykes M, Thonicke K, Venevsky S (2003) Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ Dynamic Global Vegetation Model. Glob Chang Biol 9:161–185
Smith B, Prentice IC, Sykes MT (2001) Representation of vegetation dynamics in modelling of European ecosystems: comparison of two contrasting approaches. Glob Ecol Biogeogr 10:621–637
Strack JE, Liston GE, Pielke RA (2004) Modeling snow depth for improved simulation of snow-vegetation-atmosphere interactions. J Hydrometeorol 5:723–734
Wagner F (1998) The influence of environment on the stomatal frequency in Betula, LPP Contributions Series No. 9, Laboratory of Paleobotany and Palynology, University of Utrecht. p 102
Wigmosta MS, Vail L, Lettenmaier DP (1994) A distributed hydrology–vegetation model for complex terrain. Wat Resour Res 30:1665–1679
Wolf A, Blyth E, Harding R, Jacob D, Keup-Thiel E, Goettel H, Callaghan T (2007) Sensitivity of an ecosystem model to hydrology and temperature. Clim Change (in this issue)
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Göttel, H., Alexander, J., Keup-Thiel, E. et al. Influence of changed vegetations fields on regional climate simulations in the Barents Sea Region. Climatic Change 87, 35–50 (2008). https://doi.org/10.1007/s10584-007-9341-5
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DOI: https://doi.org/10.1007/s10584-007-9341-5