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Why can't scientists claim 100 percent accuracy when making predictions based on the global-warming climate model?
In science there is no 100% with the evidence provided the sun will come up tomorrow. they are 99.999999999% sure it will. But the sun could not come up tomorrow.
So as a rule science never gives out 100% at all. That is beside the point though.
The earth is 4.55 billion years old. Humans started to evolve away from primates 130,000 years ago. So we have only been on this earth for 1/35,000th of it's life span. We really don't know much about earth's natural cycles.
If the entire time the earth has been around was compressed into a single day. Humans would have been around for a maximum of 2.4 seconds. Imagine trying to predict the cycle of a day with 2.4 seconds.
If you took 2 seconds of the night, then you would assume it is always dark and cold. When day came around you would be quite shocked at how hot it is.
So in short. Science never gives out 100%'s and humans have been on the earth for such a short time it is very difficult to predict with any certainty what is going to happen.
What else can I help you with?
What allows scientists to predict future climate change with some sense of accuracy?
Scientists can predict future climate change with a degree of accuracy due to the use of sophisticated climate models that simulate the Earth's climate system. These models incorporate various factors such as greenhouse gas emissions, solar radiation, and ocean currents, allowing researchers to understand potential future scenarios. Additionally, historical climate data provides a baseline for comparisons, helping to validate and refine these models. Continuous advancements in technology and data collection enhance the precision of these predictions.
How do scientists calculate future climate changes predictions?
Scientists use complex computer models known as climate models to calculate future climate change predictions. These climate models simulate the Earth's climate system by incorporating data on greenhouse gas emissions, land use changes, and other factors that influence climate. By running these models with different scenarios and assumptions, scientists can predict how these changes will affect global temperature, precipitation patterns, sea level rise, and other climate variables in the future.
How do scientists use data and technology to make predictions about natural phenomena?
Scientists use data and technology by collecting and analyzing vast amounts of information through methods like remote sensing, simulations, and statistical modeling. Advanced software tools process these data to identify patterns and trends, allowing researchers to create predictive models for natural phenomena such as weather, climate change, and geological events. Additionally, technologies like machine learning enhance the accuracy of these predictions by continuously improving models based on new data. This integration of data and technology enables scientists to forecast and understand complex natural systems more effectively.
What are the predictions of scientists about plate tectonics?
Scientists predict that Earth's tectonic plates will continue to move and interact, causing earthquakes, volcanic activity, and the ongoing reshaping of continents. They also predict that new research will continue to improve our understanding of plate tectonics and its influence on the Earth's geology and climate.
Why do scientists observe and keep records of weather conditions over long periods of time?
Scientists observe and keep records of everything - nonstop - so that they always have data to process and to use to develop models that are employed for making predictions.
How do scientists base their climate predictions?
Scientists base their climate predictions on computer models that simulate the Earth's climate system. These models take into account factors such as greenhouse gas emissions, solar radiation, ocean currents, and air circulation patterns to project future climate trends. By running different scenarios, scientists can estimate the potential impacts of human activities on the climate.
Which is not a reason why scientists are limited in their ability to make predictions to climate change?
because scientist are payed by the government
What allows scientists to predict future climate change with some sense of accuracy?
Scientists can predict future climate change with a degree of accuracy due to the use of sophisticated climate models that simulate the Earth's climate system. These models incorporate various factors such as greenhouse gas emissions, solar radiation, and ocean currents, allowing researchers to understand potential future scenarios. Additionally, historical climate data provides a baseline for comparisons, helping to validate and refine these models. Continuous advancements in technology and data collection enhance the precision of these predictions.
Is it true or false that since climate is hard to study on a global scale scientists use computer models to make climate predictions?
true
How do scientists calculate future climate changes predictions?
Scientists use complex computer models known as climate models to calculate future climate change predictions. These climate models simulate the Earth's climate system by incorporating data on greenhouse gas emissions, land use changes, and other factors that influence climate. By running these models with different scenarios and assumptions, scientists can predict how these changes will affect global temperature, precipitation patterns, sea level rise, and other climate variables in the future.
Can Earth be predicted?
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.
How do scientists use data and technology to make predictions about natural phenomena?
Scientists use data and technology by collecting and analyzing vast amounts of information through methods like remote sensing, simulations, and statistical modeling. Advanced software tools process these data to identify patterns and trends, allowing researchers to create predictive models for natural phenomena such as weather, climate change, and geological events. Additionally, technologies like machine learning enhance the accuracy of these predictions by continuously improving models based on new data. This integration of data and technology enables scientists to forecast and understand complex natural systems more effectively.
How is the Maunder Minimum related to climate change?
The Maunder Minimum, a period of low solar activity in the 17th century, is linked to a cooler climate known as the "Little Ice Age." Some scientists suggest that understanding past solar variations like the Maunder Minimum can help improve climate change models and predictions.
How do scientist predict climate?
The scientists observe the changes in climate very carefully. They know that the daily changes in climate are caused by storms and fair weather moving over the Earth . They know that the seasoning changes are due to the turning of Earth around the sun.The most important cause of climate is the heating and cooling of the air.
What are the predictions of scientists about plate tectonics?
Scientists predict that Earth's tectonic plates will continue to move and interact, causing earthquakes, volcanic activity, and the ongoing reshaping of continents. They also predict that new research will continue to improve our understanding of plate tectonics and its influence on the Earth's geology and climate.
How do scientists study ice cores?
Scientists study ice cores by extracting cylindrical samples of ice from glaciers or ice sheets. These ice cores contain trapped air bubbles, dust particles, and other materials that provide information about past climate conditions. By analyzing the layers in the ice cores, scientists can reconstruct historical climate data, such as temperature and atmospheric composition, dating back thousands of years. This research helps us understand how the Earth's climate has changed over time and improve predictions for the future.
What are uneven predictions?
Uneven predictions refer to forecasts or estimates that exhibit inconsistencies or disparities, often influenced by varying factors such as data quality, model assumptions, or external conditions. These predictions may show significant variation across different scenarios or timeframes, leading to uncertainty in outcomes. In fields like economics, finance, or climate science, uneven predictions can complicate decision-making and risk assessment. Understanding the sources and implications of these uneven forecasts is crucial for improving accuracy and reliability.
