water and carbon cycles; stochastically generated weather field; carbon assimilation in the biosphere; temperature; leaves
Abstract :
[en] Global models of water and carbon cycles in continental vegetation and soils are usually forced with monthly mean climatic data-sets and thus neglect day to day variations of the weather. This treatment may be justified for empirical models based on parametrizations validated at a monthly timescale. Mechanistic models handling hydrological and biological processes at much shorter timescales might, however, be largely affected by such an approximation, since the various processes described are highly nonlinear. A random generator of daily precipitations and temperatures applicable at the global scale has thus been developed from worldwide meteorological data covering 6 years of observations. The probability of a wet day is correlated to the weather encountered the previous day. The amount of precipitation, the daily mean temperature and the diurnal. range of temperature are described from the statistical point of view by the cumulative distribution functions (CDF) of three random variables. The CDF's a relative to temperatures are different for rainy and dry days. This stochastically generated weather field is used as input to IBM (Improved Bucket Model) and CARAIB (CARbon Assimilation In the Biosphere), two global models of respectively soil hydrology and vegetation productivity. Large differences in both the geographical distribution and the global value of soil water, vegetation productivity and carbon stocks are obtained between the model runs using monthly uniform weather on one side and randomly generated weather on the other. The main contribution to this difference at the global scale arises from the precipitation generation occurring as a result of high degree of nonlinearity of the interception scheme used in IBM. (C) 1998 Elsevier Science B.V. All rights reserved.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Hubert, Benoît ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Labo de physique atmosphérique et planétaire (LPAP)
François, Louis ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Modélisation du climat et des cycles biogéochimiques
Warnant, Pierre ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Modélisation du climat et des cycles biogéochimiques
Strivay, David ; Université de Liège - ULiège > Département de physique > Physique nucléaire, atomique et spectroscopie - Centre européen en archéométrie
Language :
English
Title :
Stochastic generation of meteorological variables and effects on global models of water and carbon cycles in vegetation and soils
Ball, J.T., Woodrow, I.E., Berry, J.A., 1987. A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions. In: Biggins, J. (Ed.). Progress in Photosynthesis Research, 4. Nijhoff, Dordrecht, pp. 221.
Baumgartner, A., Reichel, E. The world water balance: mean annual global continental and maritime precipitation, evaporation and runoff. Amsterdam: Elsevier, 1975, p. 176.
Collatz, G.J., Ribas-Carbo, M., Berry, J.A., 1992. Coupled photosynthesis - stomatal conductance model for leaves of C4 plants. Aust. J. Plant Physiol. 19, 519-538.
Cogley, J.G. GGHYDRO - global hydrographic data, Release 2.1. Trent Climate Note 91-1, Department of Geography, Trent University, Peterborough, Ontario, Canada, 1994.
Cramer, W.P., Leemans, R. Personal communication, (in preparation, 1995).
Deardorff, J.W., 1978. Efficient prediction of ground surface temperature and moisture, with inclusion of a layer of vegetation. J. Geophys. Res. 83, 1889-1903.
Esser, G., 1991. Osnabruck biosphere model. In: Esser, G., Overdieck, D. (Eds.). Modern ecology, basic and applied aspects, Elsevier, Amsterdam, pp. 679.
FAO, F., FAO Production Yearbook: 1992, Statistics Series 4, 1993, p.112
Farquhar, G.D., von Caemmerer, S., Berry, J.A., 1980. A biochemical model of photosynthetic CO2 assimilation in leaves of C3.species. Planta 149, 78-90.
Gnedenko, B.V., 1967. The theory of probability. Chelsea Publishing Company, New York, NY.
Kindermann, J., Lüdeke, M.K.B., Badeck, F.-W., Otto, R.D., Klaudius, A., Häger, Ch., Würt, G., Lang, T., Donges, S., Hambermehl, S., Kohlmaier, G.H., 1993. Structure of a global carbon exchange model for the terrestrial biosphere: The Frankfurt Biosphere Model (FBM), Water, Air and Soil Pollution 70, 648-675.
Köppen, W., 1936. Das geographische System der Klimate. In: Köppen, W., Geiger, R. (Eds.). Handbuch der Klimatologie, 1 Part C. Gebr. Borntraeger, Berlin.
Landsberg, J.J., 1986. Physiological ecology of forest production. Applied Botany and Crop Science Series, Academic Press, London.
Leemans, R., Cramer, W.P. I.I.A.S.A. database for mean monthly values of temperature, precipitation and cloudiness on a global terrestrial grid, International Institute for Applied System Analysis, Laxenburg (Austria), 1991, p.62.
Lieth, H., 1975. Modelling the net primary production of the world. In: Lieth, H., Whittaker (Eds.). Primary production of the biosphere Ecological Studies, 14. Springer-Verlag, New-York, Heidelberg, Berlin, pp. 237.
Martin, B.R., 1971. Statistics for physicists. Academic Press, London and New York.
McGuire, A.D., Melillo, J.M., Joyce, L.A., Kicklighter, D.W., Grace, A.L., Moore III, B., Vörösmarty, C.J., 1992. Interactions between carbon and nitrogen dynamics in estimating net primary production for potential vegetation in North America. Global Biogeochem. Cycles 6, 101-124.
Melillo, J.M., Callaghan, T.V., Woodward, F.I., Salati, E., Sinha, S.K., 1990. Effects on ecosystems. In: Houghton, J.T., Jenkins, G.J., Ephraums, J.J. (Eds.). Climate change: the IPCC scientific assessment, Cambridge University Press, Cambridge.
Mintz, Y., Walker, G.K., 1993. Global fields of soil moisture and surface evapotranspiration derived from observed precipitation and surface air temperature. J. Appl. Meteorol. 32, 185-188.
Nemry, B., François, L., Warnant, P., Robinet, F., Gérard, J.-C., 1996. The seasonality of the CO2 exchange between the atmosphere and the land biosphere: a study with a global mechanistic model. J. Geophys. Res. 101, 7111-7125.
Pitman, A.J., Yang, Z.L., Cogley, J.G., Henderson-Sellers, A. Description of bareessentials of surface transfer for the Bureau of Meteorology Research Center AGCM. Res.Resp. No 32, Bur. of Meteorol. Res. Cent. Melbourne, Australia, 1991.
Richardson, C.W., 1981. Stochastic simulation of daily precipitation, temperature and solar radiation. Water Resour. Res. 17(1), 182-190.
Saxton, K. E., Rawls, W.J., Romberger, J.S., Papendick, R.I., 1986. Estimating generalized soil-water characteristics from texture. Soil Sci. Soc. Am. J. 50, 1031-1036.
Sellers, W.D., 1983. A quasi-three-dimensional climate model. J. Clim. Appl. Meteorol. 22, 1557-1574.
Sharpley, A.N., Williams, J.R. EPIC- Erosion/Productivity Impact Calculator: 1. Model documentation. U.S. Departement of Agriculture Technical Bulletin, 1768, 1990, p.235.
Staley, D.O., Jurica, G.M., 1972. Effective atmospheric emissivity under clear skies. J. Appl. Meteor. 11, 349-356.
UNESCO, Atlas of world water balance. Korzoun VI, Sokolov AA, Budyko MI, Voskresensky KP, Kalinin GP, Konoplyantsev AA, Korotkevich ES, Lvovich MI, editors. The UNESCO Press, Paris, 1977.
Vörösmary, C.J., Moore III, B., Grace, A.L., Gildea, M.P., Medillo, J.M., Peterson, B.J., Rastetter, E.B., Steudler, P.A., 1989. Continental scale models of water balance and fluvial transport: an application to South America. Global Biochemical Cycles 3 (3), 241-265.
Warnant, P., François, L., Strivay, D., Gérard, J.-C., 1994. CARAIB: a global model of terrestrial biological productivity. Global Biogeochem. Cycles 8, 255-270.
Wilson, M.F., Henderson-Sellers, A., 1985. A global archive of land cover and soil data for use in general circulation models. J. Clim. 5, 119-143.
Zobler, L. A world soil file for global climate modelling. NASA Technical Memorandum 87802, NASA Goddard Institute for Space Studies (GISS), New York, 1986.
