![]() This exothermic core-to-mantle equilibrium is cyclic, and can and will eventually reverse. Ocean heats atmosphere (or fails to cool it as well as it once did) much more readily than atmosphere heats ocean. Arctic and Antarctic polar ice sheets melt from the bottom up. Abyssal ocean currents (and consequently surface ones as well) speed up from the discrete addition of kinetic energy. Abyssal ocean conveyance belts pull novel heat content from small-footprint yet now much hotter contribution points exposed to the asthenosphere – and convey (not conduct, convect, nor radiate) this novel heat content through oceanic advection and upwelling systems to the surface of the ocean. Already warmer tundra releases carbon more quickly in the northern hemisphere each spring solar warming. Methane ppms far outpace model predictions. Deep crude acyclic alkane pockets are heated and accelerate methane release into atmosphere. The exothermic heat content from this eventually reaches Earth’s asthenosphere. Earth’s rotation slows from the mass exchange from core to mantle. Core magnetic permeability weakens and its geographic dipole wanders. The Earth’s core undergoes extreme exothermic change – sloughing high-latent-energy hexagonal closepack (HCP) iron from its H-layer and into the mantle where it converts to face centered cubic (FCC) iron plus kinetic energy (heat). The numerical simulation is a powerful tool in the field of building climatology, civil engineering and other disciplines today.Exhibit A – IPGP/CNRS conjectured simulation of measured heat flows inside Earth’s mantle. Constructive details of buildings and building materials can be optimised using the numerical simulation and the reliability of constructions for different given indoor and outdoor climates can be judged. A particular advantage of the numerical simulation program is the possibility of investigation of variants concerning different constructions, different materials and different climatical loads. A large number of variables (moisture contents, air pressures, salt concentrations, temperatures, diffusive and advective fluxes of liquid water, water vapour, air, salt, heat and enthalpy.) which characterise the hygro-thermal state of building constructions, can be obtained as function of space and time. DIM3.1 solves the resulting system of coupled partial differential equations by numerical integration in time. The modelling of transient transport processes leads into a system of non-linear partial differential equations. The program can be used in order to simulate transient mass and energy transport processes for arbitrary standard and natural climatic boundary conditions (temperature, relative humidity, driving rain, wind speed, wind direction, short and long wave radiation). The simulation of the thermal and hygric behaviour of constructive building details is possible for 1D, 2D and axialsymmetrical 3D problems. The numerical simulation program DIM3.1 has been developed at the ?Institute of Building Climatologyˇ° of the Technical University of Dresden in order to support the investigation of the coupled heat, air, salt and moisture transport in porous building materials. Delphin4.1 program installation available on the ftp-server of the Institute of Building Climatology: John Grunewald "Documentation of the Numerical Simulation Program DIM3.1", Volume 2: User's Guide. HAM: DELPHIN 4, DIM 3.1John Grunewald "Documentation of the Numerical Simulation Program DIM3.1", Volume 1: The-oretical Fundamentals. and H?upl, P., (2001), Numerical and experimental investigation of coupled heat and moisture transport problems Grunewald, J., (2000), Documentation of the Numerical Simulation Program DIM3.1, Volume 1: Theoretical Fundamentals. ![]() ![]() and Roels, S., (2002), Position paper on material characterization and HAM model benchmarking Bomberg, M., Carmeliet, J., Grunewald, J., Holm, A., Karagiozis, A., Kuenzel, H.computer codes for heat-air-moisture transfer. ![]()
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