461
Stel J. H. (ed), 1996: Proceedings of the First EuroGOOS Conference, 7-11
October 1996, The Hague, The Netherlands. Elsevier Oceanography Series,
62. ISBN O 444 82892 3. 757 pp.
Stern, w., and K. Miyakoda, 1995: Feasibility of Seasonal Forecasts Inferred
from Multiple GeM Simulations. J. Climate, 8, 1071-1085.
Stewart, R.H., 1985: Methods of satellite oceanography, Univ. of California
Press, Berkeley, CA 360pp.
Storch H.v, G. Biirger, R. Schnur, and J.S. von Storch 1995 : Principal oscillation patterns: A review. J. Climate, VoI. 8, No.3, 377-400.
Sutherland,W.J., 1997: From Individual Behaviour to Population Ecology.
Oxford University Press 213pp.
Sutton, R. T. and M. R. Allen, 1997: Decadal predictability in Gulf Stream sea
surf ace temperatures. Nature, 388, 563-567.
Sverdrup, H.U. and W.H. Munk, 1947: Wind sea and swel1: Theory ofrelations
for forecasting. H.O. Pub. 601, US Navy Hydrographic Oftice, Washington,
DC,44p.
Sverdrup.H., 1953: On the conditions for vernal blooming of phytoplankton.
J.Cons.Perm.lnt.Explor.Mer., 18,287-295.
SWAMP group: J.H. Allender, T.P. Bamett, L. Bertotti, J. Bruinsma, V.J. Cardone, L. Cavaleri, J. Ephraums, B. Golding, A Greenwood, J. Guddal, H.
Giinther, K. Hasselmann, S. Hasselmann, P. Joseph, S. Kawai, G.J. Komen,
L. Lawson, H. Linne, R.B. Long, M. Lybanon, E. Maeland, W. Rosenthal, Y.
Toba, T. Uji and W.J.P. de Voogt, 1985: Sea wave modeling project
(SWAMP). An intercomparison study ofwind wave predictions models, part
1: Principal results and conc1usions, in: Ocean wave modeling; Plenum, New
York,256p.
Tarantola,A 1987: Inverse Problem Theory - Methods for data fitting and model
parameter estimation, publ. Eisevier. 613pp. ISBN 0-444-42765-1
Tatsumi, Y., 1986: A spectral limited area model with time-dependent lateral
boundary conditions and its application to a multi-level primitive equation
model. J. Meteor. Soc. Japan, 64, 637-664.
Taylor, G.1. 1921: Tidal oscillations in Gulfs and rectangular basins. Proc.
Lond. Math. Soc. Ser., 2.20. 148-81.
Timmermann, A, 1996: Modes of variability as simulated by a global c1imate
model. PhD thesis. Available from Max-Planck-Institut fUr Meteorologie,
Bundesstr.55, D-20146 Hamburg, Germany.
Timmermann, A, M. Latif, R. Voss, and A. Grotzner, 1998: North Atlantic
interdecadal variability: A coupled air-sea mode. J. Climate, 11, 1906-1931.
Toth, Z., and E. Kalnay, 1993: Ensemble forecasting at NMC: The generation of
perturbations, Bull. Amer. Meteor. Soc., 74, 2317-2330.
Trenberth, K. E. and J. W. Hurrell, 1994: Decadal atmosphere-ocean variations
in the Pacific. Clima te Dynamics, 9, 303-319.
Tuljapurkar, S. and H.Caswell, 1997: Structured-population models in marine,
terrestrial & freshwater systems. New York, Chapman and Hall, 643pp.
Stel J. H. (ed), 1996: Proceedings of the First EuroGOOS Conference, 7-11
October 1996, The Hague, The Netherlands. Elsevier Oceanography Series,
62. ISBN O 444 82892 3. 757 pp.
Stern, w., and K. Miyakoda, 1995: Feasibility of Seasonal Forecasts Inferred
from Multiple GeM Simulations. J. Climate, 8, 1071-1085.
Stewart, R.H., 1985: Methods of satellite oceanography, Univ. of California
Press, Berkeley, CA 360pp.
Storch H.v, G. Biirger, R. Schnur, and J.S. von Storch 1995 : Principal oscillation patterns: A review. J. Climate, VoI. 8, No.3, 377-400.
Sutherland,W.J., 1997: From Individual Behaviour to Population Ecology.
Oxford University Press 213pp.
Sutton, R. T. and M. R. Allen, 1997: Decadal predictability in Gulf Stream sea
surf ace temperatures. Nature, 388, 563-567.
Sverdrup, H.U. and W.H. Munk, 1947: Wind sea and swel1: Theory ofrelations
for forecasting. H.O. Pub. 601, US Navy Hydrographic Oftice, Washington,
DC,44p.
Sverdrup.H., 1953: On the conditions for vernal blooming of phytoplankton.
J.Cons.Perm.lnt.Explor.Mer., 18,287-295.
SWAMP group: J.H. Allender, T.P. Bamett, L. Bertotti, J. Bruinsma, V.J. Cardone, L. Cavaleri, J. Ephraums, B. Golding, A Greenwood, J. Guddal, H.
Giinther, K. Hasselmann, S. Hasselmann, P. Joseph, S. Kawai, G.J. Komen,
L. Lawson, H. Linne, R.B. Long, M. Lybanon, E. Maeland, W. Rosenthal, Y.
Toba, T. Uji and W.J.P. de Voogt, 1985: Sea wave modeling project
(SWAMP). An intercomparison study ofwind wave predictions models, part
1: Principal results and conc1usions, in: Ocean wave modeling; Plenum, New
York,256p.
Tarantola,A 1987: Inverse Problem Theory - Methods for data fitting and model
parameter estimation, publ. Eisevier. 613pp. ISBN 0-444-42765-1
Tatsumi, Y., 1986: A spectral limited area model with time-dependent lateral
boundary conditions and its application to a multi-level primitive equation
model. J. Meteor. Soc. Japan, 64, 637-664.
Taylor, G.1. 1921: Tidal oscillations in Gulfs and rectangular basins. Proc.
Lond. Math. Soc. Ser., 2.20. 148-81.
Timmermann, A, 1996: Modes of variability as simulated by a global c1imate
model. PhD thesis. Available from Max-Planck-Institut fUr Meteorologie,
Bundesstr.55, D-20146 Hamburg, Germany.
Timmermann, A, M. Latif, R. Voss, and A. Grotzner, 1998: North Atlantic
interdecadal variability: A coupled air-sea mode. J. Climate, 11, 1906-1931.
Toth, Z., and E. Kalnay, 1993: Ensemble forecasting at NMC: The generation of
perturbations, Bull. Amer. Meteor. Soc., 74, 2317-2330.
Trenberth, K. E. and J. W. Hurrell, 1994: Decadal atmosphere-ocean variations
in the Pacific. Clima te Dynamics, 9, 303-319.
Tuljapurkar, S. and H.Caswell, 1997: Structured-population models in marine,
terrestrial & freshwater systems. New York, Chapman and Hall, 643pp.