Weather Modifying Weapons

OSTM/Jason-2's predecessor TOPEX/Poseidon caug...
Image via Wikipedia

This is part of a continuing series of theoretical weapons. The weapons are theoretical as the United Nations has already banned the weapons (but not banned the building of research of defense from these weapons).

Possible applications of weather modifying weapons.

1) Use surface modifiers on oceans including but not limited to submerged nuclear heaters, airborne solar powered  lasers, surface spreaders like oil slicks. This will help modify the temperature of the ocean in certain critical areas  at critical times, influencing weather esp winds that bring rains.

Example- Modifying or Enhancing El Nino to influence rain to specific countries.

2) Use of air borne or aircraft borne lasers to start forest fires

3) Use of lasers to enhance the rate of melting of strategic glaciers.

4) Modify and interfere with the timing of an active volcano to prevent big rupture, rather to go for controlled releases.

5) Use of harmonics to influence seismic wave activity in geological reasons.

Fast Five -The Review

This is probably the best 5th in an action series sequel I have seen ( though Rocky Number 6 comes close, but Star Wars 5/6 dont)

The sheer chemistry between cars, action, big beef, beautiful iconic imagery, and nice music. This is XXX meets Ocean Eleven meets Welcome to the Jungle. Dwayne the rock Johnson continues to impress with his iconic imagery and so does Vin Diesel. The remaining actors are used tastefully and with much better direction than in some other Fast and Furious movies.

The interactions and interplays between sets, scene and people are clever, the actors know how to act, and fight . and drive.

When it comes to Car movies, you have to give to the Damn Yankees (though the French did come close with Taxi -, but not the fifth element Taxi)

Watch. It. Now. with a beer and chips. and all your homies.

Weather Weapons

water table high.
Image by glassblower via Flickr

possible weapons to modify weather and /or influence psychological reactions in people/mass events.

1) use of lasers to create hot spots on ocean ,sea surfaces for clouds and pressure winds

2) controlled demolitions to alter river trajectory

3) controlled sub terranean demolitions to influence water table levels

4) introduction of aerial oxidants and chemical leaching agents to alter soil productivity, water retention.

5) controlled sub nuclear explosions on glaciers as well as ice deposits.

6) MODIFICATION of ambient light /rain/sleet to influence or encourage dissent in populations usually in combination with some or all of the above.

the name of the game is the art of fighting a war without fighting a war. subtlety does it.

countries doing it are us, supported by pan democracies, china, and russia. may we live in interesting times

http://www.asitis.com/2/41.html

TRANSLATION

Those who are on this path are resolute in purpose, and their aim is one. O beloved child of the Kurus, the intelligence of those who are irresolute is many-branched.

How to Measure and Optimize Your Marketing:Tableau

Tired of everyone calling everyone else a social media expert. What seperates the social media men from the fakes.

the grain from the chaff.

Data.

Heres a webcast you may want to think of social media tickles your curiosity on how  to leverage these strange new marketing tools.

https://cc.readytalk.com/cc/schedule/display.do?udc=xu40u1ex8tj8

Notice the form and fields below the screenshot-

is every field required – is each one required to measure

Have they optimized web registration forms yet.

Continue reading “How to Measure and Optimize Your Marketing:Tableau”

Summer School on Uncertainty Quantification

Scheme for sensitivity analysis
Image via Wikipedia

SAMSI/Sandia Summer School on Uncertainty Quantification – June 20-24, 2011

http://www.samsi.info/workshop/samsisandia-summer-school-uncertainty-quantification

The utilization of computer models for complex real-world processes requires addressing Uncertainty Quantification (UQ). Corresponding issues range from inaccuracies in the models to uncertainty in the parameters or intrinsic stochastic features.

This Summer school will expose students in the mathematical and statistical sciences to common challenges in developing, evaluating and using complex computer models of processes. It is essential that the next generation of researchers be trained on these fundamental issues too often absent of traditional curricula.

Participants will receive not only an overview of the fast developing field of UQ but also specific skills related to data assimilation, sensitivity analysis and the statistical analysis of rare events.

Theoretical concepts and methods will be illustrated on concrete examples and applications from both nuclear engineering and climate modeling.

The main lecturers are:
Dan Cacuci (N.C. State University): data assimilation and applications to nuclear engineering

Dan Cooley (Colorado State University): statistical analysis of rare events
This short course will introduce the current statistical practice for analyzing extreme events. Statistical practice relies on fitting distributions suggested by asymptotic theory to a subset of data considered to be extreme. Both block maximum and threshold exceedance approaches will be presented for both the univariate and multivariate cases.

Doug Nychka (NCAR): data assimilation and applications in climate modeling
Climate prediction and modeling do not incorporate geophysical data in the sequential manner as weather forecasting and comparison to data is typically based on accumulated statistics, such as averages. This arises because a climate model matches the state of the Earth’s atmosphere and ocean “on the average” and so one would not expect the detailed weather fluctuations to be similar between a model and the real system. An emerging area for climate model validation and improvement is the use of data assimilation to scrutinize the physical processes in a model using observations on shorter time scales. The idea is to find a match between the state of the climate model and observed data that is particular to the observed weather. In this way one can check whether short time physical processes such as cloud formation or dynamics of the atmosphere are consistent with what is observed.

Dongbin Xiu (Purdue University): sensitivity analysis and polynomial chaos for differential equations
This lecture will focus on numerical algorithms for stochastic simulations, with an emphasis on the methods based on generalized polynomial chaos methodology. Both the mathematical framework and the technical details will be examined, along with performance comparisons and implementation issues for practical complex systems.

The main lectures will be supplemented by discussion sessions and by presentations from UQ practitioners from both the Sandia and Los Alamos National Laboratories.

http://www.samsi.info/workshop/samsisandia-summer-school-uncertainty-quantification