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We do not know everything about the weather. We do however know how most weather-formations build up. This is also true for the conditions causing tornadoes. The problem involves accurate predictions as in the actual weather forecasts.
We can predict tornadoes by watching the skies. This can be done by satellite's, by radar, from ground, or a combination. This is all adding accuracy to the predictions.
The biggest problems of accurate weather forecasts is the amount of data needed to be calculated in order to provide predictions. We know to a certain extent how to use the data in calculations but this is still an inaccurate science at best. Some even believe that a butterfly flapping its wings at the wrong place at the right time can influence the weather on the opposite side of our globe.
The smallest changes in weather one place can change the outcome another place. We live on a living planet and as of that we simply have to accept certain conditions.
As we make weather models to support the globe as it is today, these models may have to be changed in the future as we change our globe due to deforestation and building dams, cities etc.
The most advanced models of our world today are able to predict weather up to 30 days forward. Not to a great accuracy as for which specific day and time it will start to rain, but within a few days. This sort of predictions is used in Shipping and Oil industry.
As of being able to actually calculate (I would rather use that word than "predict", because it all boils down to calculations). We can not "predict" a certain weather or a certain condition only for a small geographic area. This add uncertainty to predictions. The tornado touching down may be 3-10 miles away from where it was thought to be.
The amount of data needed for exact predictions/calculations are simply not available or possible to collect. To illustrate this further, consider the network of measuring-stations on ground. We can improve this network by placing one station for every 100 Square meters. This could be a kind of "back bone" in a new statistical model. Even so, with such a network, we would not be able to calculate proper predictions.
Reasons: The lower atmosphere tell one story, but is dependent upon higher altitude atmospheric conditions. Let's say we one day manage to measure (I don't know how, just lets say it is possible) the atmospheric conditions for every 100 meter up into the outer edge of our atmosphere.If we had all this statistical information readily available, then all we need to do is to put this into a statistical model, and we would have a really great tool.But even so!We need to be able to calculate accurately, and we can add much more information into this statistical model.We need to know the position of the moon and its distance from earth at all times. We need to know the position of all the other planets in order to calculate gravitational fields. Ultimately, we need to use all this information in combination with data from the sun. Is there going to be a solar flare? will the solar flare be directed so that it will be caught up in gravitational fields and be led towards earth in part or in full.It may sound like Science Fiction, but everything is calculateable if we have the power to do it and the knowledge as in how to do it.The amount of data needed for accurate calculations is immense. I do however beleive that it can be done.
One method could be to force an issue to the producers of mobile phones and computer equipment. Governments could force measurement-capability into all units, and the units could send data of measurement every time the measurements change. This would be able to provide very localized data for most of the globe where people are. It would still not be enough though.
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How easy can you predict a tornado?
Overall it is extremely difficult to predict tornadoes. By weather standards tornadoes are small and form quickly, usually occurring on a time scale of minutes or seconds. Additionally, how a tornado works is still largely unknown.
Why can't we predict tornado paths?
We can, to a limited degree. Tornadoes develop rapidly from relatively small-scale weather systems and are sensitive to small changes in the atmosphere that are difficult to detect. This makes them hard to predict.
What type of information is used to predict tornadoes?
Temperature, Doppler radar, and wind direction are some of the types of information used to predict tornadoes.
What instrument do they use to predict a tornado?
Doppler radar is used to predict tornadoes when they're already occurring.But aside from that tornado predictions are very uncertain and difficult to make. The durations of tornado warnings are counted in minutes and even then there are many false alarms.
Why is it hard to predict a tornado?
Compared with other storms tornadoes are small and form quickly. This makes them difficult to track. Small factors that we can barely detect or can't detect can also affect a tornado. Furthermore tornadoes are not well understood by scientists and they are difficult to study. Their relatively small size and unpredictability makes it nearly impossible to take measurements from inside.
Are tornadoes are the most difficult from of severe weather to predict?
No, it is not
What is the counties in TN that is having a tornado today?
It is impossible to predict what counties will and won't have tornadoes at any given time. Tornadoes are very difficult to predict.
Why is finding tornadoes a problem?
Tornadoes are small-scale weather patterns that often come and go relatively quickly. This makes the difficult to predict.
How easy can you predict a tornado?
Overall it is extremely difficult to predict tornadoes. By weather standards tornadoes are small and form quickly, usually occurring on a time scale of minutes or seconds. Additionally, how a tornado works is still largely unknown.
What animal that predict the tornadoes?
There is not real scientific evidence that animals predict tornadoes. Tornadoes come with thunderstorms, and some animals, such as dogs, may hear the thunder before we do, but it is unlikely that they can actually predict tornadoes.
Why is the path of a storm so difficult to predict?
it is so difficult to predict becuz sometimes the storm may be gone, weaken, or strengthen.
What is the future of Africa?
The future is difficult to predict accurately (but very easy to predict inaccurately) so allow me to predict that Africa is facing a difficult future.
Are tornadoes a type of wind energy?
Yes. Tornadoes are violent windstorms and their energy is in their wind. However, this energy cannot be harnessed because tornadoes are too difficult to predict and would likely damage or destroy any wind turbines.
Why can't we predict tornado paths?
We can, to a limited degree. Tornadoes develop rapidly from relatively small-scale weather systems and are sensitive to small changes in the atmosphere that are difficult to detect. This makes them hard to predict.
What type of information is used to predict tornadoes?
Temperature, Doppler radar, and wind direction are some of the types of information used to predict tornadoes.
Is it hard to study tornadoes?
Yes it is. Tornadoes are small compared with other storms, form quickly, and are difficult to predict. This makes it hard to be in the right place at the right time to study them, especially if you have to deal with delicate scientific instruments.
How does climate change make tornadoes?
The common idea is that a warmer climate means that there will be more energy to power violent storms such as tornadoes. This view is grossly oversimplified. Weather and climate are very complex and difficult to predict. Scientists are still uncertain how climate change might affect tornadoes.
