Modelling of the Sulphur Cycle. From DMS to Cloud Particles
暂无分享,去创建一个
[1] Terry Andres,et al. Sensitivity analysis of model output: an investigation of new techniques , 1993 .
[2] R. Dingenen,et al. Cloud Condensation Nuclei from Dimethyl Sulphide in the Natural Marine Boundary Layer: Remote VS. In-Situ Production , 1993 .
[3] R. Dingenen,et al. Modelling formation and growth of H2SO4-H2O aerosols: Uncertainty analysis and experimental evaluation , 1992 .
[4] R. Dingenen,et al. Simulations of condensation and cloud condensation nuclei from biogenic SO2 in the remote marine boundary layer , 1992 .
[5] Andrea Saltelli,et al. Sensitivity analysis for model output: performance of black box techniques on three international benchmark exercises , 1992 .
[6] K. Taylor,et al. Planktonic dimethylsulfide and cloud albedo: An estimate of the feedback response , 1991 .
[7] William H. Press,et al. Numerical recipes , 1990 .
[8] A. Saltelli,et al. Non-parametric statistics in sensitivity analysis for model output: A comparison of selected techniques , 1990 .
[9] Jay D. Johnson,et al. Uncertainty and sensitivity analysis of a dry containment test problem for the MAEROS aerosol model , 1989 .
[10] T. Bates,et al. Evidence for the climatic role of marine biogenic sulphur , 1987, Nature.
[11] F. Raes,et al. Ion-induced aerosol formation in a H2O-H2SO4 system—II. Numerical calculations and conclusions , 1986 .
[12] H. Pruppacher,et al. A comparative study on the growth of cloud drops by condensation using an air parcel model with and without entrainment , 1977 .
[13] Philip Babcock Gove,et al. Webster's third new international dictionary of the English language, unabridged, with seven language dictionary , 1971 .