Wind is a sophisticated pattern and in linear mathematics appears to be a complex system, however the patterns of wind within an atmosphere while taking into consideration ambient temperatures and land formations, may not be as complex as we believe. As a matter of fact we have knowledge of many patterns in nature, which start from very simplistic formulas. It appears that simplicity breeds complexity and that complexity can reverse the same process in many instances where those systems have tendencies and characteristics which promote change or chaos.

As we learned how to unlock the mathematics, which can solve the factoring of prime numbers within computational complexity of algorithms in systems of cryptonics, we may find that this is in fact relatively easy using multiple level equations in a slight modification of our current understanding and usage of mathematics. Soon, we will then discover how simple such patterns in nature actually are.

The patterns of wind are interesting and take on the appearance of being so complex that they many simply throw up their hands give up in trying to mathematically predict it. Yet, we can predict it since we have formulas for much of what we know as fluid dynamics physics, we have laws and rules which are taught in higher math and physics classes through linear sets of equations, yet when we add additional variables and stack the data sets, somehow our minds having been taught a certain methodology of problem solving, rendering us to a conclusion that it is impossible to predict. Not so, since currently with the use of computers, XML data bases, ESRI software and a better understanding of other complex systems and patterns which we have broken through, we now know it is not only possible, but known that we can predict wind patterns and depending on the number of variables taken into consideration we can be so accurate that we would know wind.

If you are to break down the wind within each three-dimensional grid in virtual space (in an atmosphere) signifying a cubic dimensions (or any 3-D shape) and you know the characteristics that are pre-existing within the next volume set of cubic observation, before which time the wind passes through it (such as barometric pressure, temperature, etc. and you know the speed of the wind, its velocity and the air mass behind it), predicting the wind passing through the next grid or volume of space is rather simple. Although the problem seems quite complex adding up all the different volumes of virtual cubic boxes within next space and knowing the flow and direction the way and is completely predictable.

We now have supercomputers, smart dust with mems, ESRI software, as well as a pretty good understanding of wind aloft and a database from the National Weather Service. Predicting patterns of wind, directions of fire, and understanding what occurs win any one condition is changed you seen the sophisticated software of a virtual wind tunnel we know what the weather will do, where it will go, what effect will have on our overall environment and which conditions we will need to change to slow down a storm, stop a storm or have a deliver water onto a fire or into a lake for water supply. Such modeling can help us understand the effects of an asteroid or god, forbid a comet hitting the earth and what will be the most likely outcome of such.

We can use such modeling to predict pollution coming from Fires in CA or China and how they effect the entire Earth Atmosphere Grid and what they will most likely do to the current and near future weather patterns and what such a chain reaction will do to our surface plants and animals long term. We can also understand the global warming effect of burps of Earth through volcanic activity and the extent that space weather, solar flares and our own pollution contribute or take away from the whole of the atmospheric earth system.

Controlling the weather patterns will require some skill, some talent, large collected databases, supercomputer number crunching and lots of trial and error. We will also need to let lose of some of the current mathematics we use to track weather in trade for multi-stacked equational computational analysis or a different type of math based on a new type of science. Which may lead us to the grand unification we seek.

As scientists and researchers will learn there will be places where weather is easily studied and relatively easily controllable using very little energy and using the actual wind currents with minor changes in certain situations which are made possible by the terrain itself. This brings us to another topic at topic is the patterns of erosion. Anyone was the pilot who has flown over the desert, over a mountain range or even in a glider using the addressing downdrafts understands that the fluid dynamics used by water, pressure or heat, which slowly over time brings mountain into river, into silt.

Some of the best farmland in the world will appear at the bottom of a mountain range where the water has washed the sediment into a valley. Or where a glacier has grinded away rock into fine sand, where a volcano has spread itself out over large area and overtime makes with the dust, dirt and other factors mentioned into a flat plain.

Ocean currents with any crevasse of the ocean may be very simple to study as the earth spins in the water flows it is relatively constant in certain places. Near the surface of the ocean where the water is less dense and more obvious and numerous factors play a part in the direction and flow it will be more difficult to predict, as more factors exist.

However once all those factors are known it will not be as difficult as it once appeared. Now let's take the atmosphere which can change rapidly and has to take into consideration the ocean flow, temperature, height of the waves along with the heat of the land mass which could include; Urban heat, clouds, barometric pressure, precipitation, static electricity, wind, land formations, man-made pollution, man-made structures and many other non suspecting conditions and in many variations. This however should not scare away the scientists, the dreamer or the funds of those with the imagination to take this species to the next step. Controlling our weather is possible once we fully understand how it works. And we are well on our way. Unlike the Federal Reserve Bank