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Predictions
Although we'd like to provide all the answers, questions asking about events in the future can only be answered with predictions. Have an idea when the world will end or who will win next year's Super Bowl? Add your opinion here. Only time will tell if your hunches are correct!
1,219 Questions
Tides can be predicted by analyzing the gravitational pull of the Moon and the Sun on Earth's oceans. The position of the Moon and Sun relative to Earth, as well as the Earth's rotation, influence the height and timing of tides. This information is used to create tide tables that forecast high and low tides for specific locations at different times.
How do scientist predict where a tornado will hit?
Meteorologists usually have help from Doppler radars. Therefore, it is possible to detect rotation in a storm system. This rotation indicates a high probability of finding tornadoes in the area. However, meteorologists can also look for favorable conditions. For example, thunderstorms with tornadoes often develop in warm, moist air in advance of eastward-moving cold fronts. However, tornado predictions are still imprecise.
How do they make prediction of what the weather will be like in the near future?
Meteorologists use a combination of current weather data, computer models, and atmospheric trends to make accurate weather predictions. They analyze factors such as temperature, pressure, humidity, and wind patterns to forecast how the weather will change in the near future. Advanced technology and satellite data also help to improve the accuracy of weather forecasting.
How do scientists make predictions?
Scientists make predictions with a hypothesis. Using their observations, models, and other scientists' work, they create a statement of a possible outcome called a hypothesis. Then scientists design tests to check whether their prediction was true.
What instruments do you use to predict the rain?
Meteorologists use various instruments to predict rain, including weather radar to detect precipitation, satellites to monitor cloud formation, and weather balloons to measure atmospheric conditions. Additionally, weather models that simulate the atmosphere's behavior are also used in conjunction with these instruments to forecast rain.
What is the best prediction about the weather from this information?
Based on the information provided, the best prediction about the weather would be that it is likely to be cloudy with a chance of rain toward the evening. Winds may also increase slightly as the day progresses.
What do scientists predict for the future of the sun?
Scientists predict that the sun will continue to gradually increase in brightness over the next billion years. Eventually, it will evolve into a red giant and expand, potentially engulfing the inner planets of our solar system, including Earth. After that phase, the sun will shed its outer layers and become a white dwarf.
Why is predicting tides important?
Predicting tides is important for various reasons, such as ensuring the safety of maritime activities, coastal development planning, and understanding the impact of tides on ecosystems and habitats. Accurate tide predictions help coastal communities prepare for potential flooding events and manage resources effectively.
What clouds will predict good weather?
Cirrus clouds, which are high-altitude wispy clouds, are often associated with good weather. They indicate fair weather and typically do not produce precipitation. When you see cirrus clouds in the sky, it usually means that you can expect stable and pleasant conditions.
What is the importance of weather prediction?
weather predicitions can help many people lead a safer life
pilots need them to fly safely
farmers need them to attain healthy crops
sailors need them to navigate around dangerous waters
coastal councils need them to evaluate the risk of flooding and then act upon this information
schools need them to be able to check up on school trips and send out closure notes
in 2033 its hell everybody will die or survive if you know how.2033 will be puluted,food will be nasty to eat and you die from it.evrything you said that its gonna be alright well think again.people will go crazy then thell kill you to eat,water will be puluted too.if you want to survive hears some hints: youll need guns to protect youre you need water even thought there paluted yoll need skills oh yeah people will eat you by there skin if its slimy or shited up kill it now.well.go to south that the only place that will be save were mexico is peopl thats reading this follow my rules or be a dead meat.
Who predicted that America would have a man on the moon before the 60's?
Renowned science fiction writer Arthur C. Clarke predicted in a 1945 magazine article that "a rocket will one day reach the moon." His prediction proved accurate with the Apollo 11 mission in 1969.
Typhoons can be predicted to some extent using advanced meteorological forecasting techniques. Meteorologists can track weather patterns and use computer models to predict the path and intensity of a typhoon. However, there are still uncertainties involved in predicting the exact trajectory and strength of a typhoon.
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.
What three methods do scientist's use to predict volcanic eruptions?
Four clues that scientists use to predict eruptions are...
-studying dormant volcanoes
-monitoring small earthquakes that occur before the eruption
-studying the ratio of gases collected
-studying active volcanoes
Why are tornadoes so difficult to predict?
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.
What is the main reason that volcanic eruptions can be predicted?
Volcanic eruptions can be predicted to some extent based on monitoring changes in seismic activity, gas emissions, ground deformation, and other signs of volcanic unrest. By analyzing these signals, scientists can make predictions about the likelihood and timing of an eruption, allowing for early warning and risk mitigation efforts.
Earth's complex systems make it challenging to predict specific events with high accuracy. While scientists can make general climate and geological predictions, unforeseen factors and the limits of current technology mean that predicting specific events on Earth, such as earthquakes or storms, remains a difficult task.
Is climate measurable and predictable?
Climate is measurable through various indicators like temperature, precipitation, and greenhouse gas levels. While long-term climate trends can be predicted using models, predicting specific weather events is more challenging due to their short-term and localized nature.
Sinkholes can sometimes be predicted based on certain geological features or history of the area. However, in many cases, sinkholes can still occur without warning, making them difficult to predict with complete certainty. Regular monitoring of geological conditions can help in identifying and potentially mitigating the risk of sinkhole formation.
Are hurricanes easy or difficult to predict?
Hurricanes are challenging to predict due to their complex nature and the various factors that can influence their intensity and path. While advancements in technology and forecasting models have improved accuracy, there are still uncertainties involved in predicting the exact track and intensity of a hurricane.
How do scientists predict a natural disaster before it happens?
Predicting the size, location, and timing of natural hazards is virtually impossible, but now, earth scientists are able to forecast hurricanes, floods, earthquakes, volcanic eruptions, wildfires, and landslides to some extent using fractals.
A fractal is a mathematical formula of a pattern that repeats over a wide range of size and time scales. These patterns are hidden within more complex systems. A good example of a fractal is the branching system of a river. Small tributaries join to form larger and larger "branches" in the system, but each small piece of the system closely resembles the branching pattern as a whole.
Are there several reliable methods of short-range earthquake predictions?
Traditional short-range earthquake predictions are challenging due to the unpredictable nature of earthquakes. While there are some methods being developed, such as monitoring foreshocks and changes in groundwater levels, none have proven to be consistently reliable for short-range predictions. It is more common to focus on early warning systems that can provide seconds to minutes of advance notice once an earthquake has already begun.
Why is it difficult for geologists to make short term predictions about earthquakes?
Geologists cannot accurately predict the exact time, location, and magnitude of earthquakes in the short term because seismic activity is influenced by complex interactions of geological factors deep within the Earth's crust. These factors are not completely understood, making short-term predictions challenging. The behavior of faults and seismic waves is highly variable, making it difficult to forecast earthquakes with precision.
How can we predict climate change when we cannot even predict the weather?
Climate is not weather, though this is a misconception.
Weather deals with the stochastic fluctuations occurring throughout the atmosphere generally on a day-to-day basis. These are predicted using weather models governed by equations that can effectively describe the atmosphere at these scales. Meteorologists are quite good at predicting the weather a few days in advance, but not so much beyond a week, as you know.
Climatologists are not interested in making a prediction for one particular day 10 years in the future; you will never see that. Climatologists are only interested in average weather over much longer time scales, and the key difference here is that at these scales, the atmosphere is governed by very different processes. Climatologists are not interested in small-scale eddies in the atmosphere, diurnal fluctuations, local-scale convection, etc., and meteorologists are. These are not processes that can be modeled and predicted very far in advance anyway.
Of primary importance to us is the Earth's global radiation budget, which means looking at variables such as how much energy is coming into the system from the sun, how much is escaping back to space, and how that radiation behaves when it passes through the atmosphere at its different wavelengths. How much is reflected, transmitted, scattered, and absorbed? The precision to which we must know this is not the same as that of the atmospheric scientist, where small differences will balloon into huge errors in only a few days time.
The oceans are also very important to climate, whereas they are not nearly as important in weather forecasting (depending on where you are of course). And oceans have "memories" that last thousands of years. Same with ice sheets, which change very slowly. But at our timescales, these changes are very important and are also capable of being incorporated into our models. Meteorologists do not care about melting ice because it occurs far too slowly to make a difference.
Another example is with greenhouse gases and the cycles they participate in between the land surface and the atmosphere. With an understanding of exactly how each greenhouse gas behaves in the atmosphere as far as how much extra radiation it absorbs, we can tell predict how much different levels in the atmosphere in the future will affect future temperatures. The trickier part is predicting this as a part of the cycles in which they participate and the feedbacks that are involved. Again, meteorologists have no interest in this because the timescale of change is too long.
So given our understanding of things like the radiation balance, the ocean circulation, the ice sheets, and biogeochemical cycles and greenhouse gases, we can input these variables into our climate models and predict generally how the Earth will respond well into the future. It's true that we don't have a perfect understanding of how all of these processes will come together, and we wish we had more observations and more computing power to model this on a smaller grid, but the models are pretty good given all these circumstances.
