Give two reasons why it is difficult for scientists to predict exactly how the climate will change in the future?

For scientists to predict outcome of events, they need

1. a sound and proven theory on how the events evolve according to all major parameters.
2. ability to collect all pertinent information (on parameters).
Assuming such events are predictable.

Unfortunately, we are in the relatively early stages of forming theories on weather and climate patterns, much less on climatic changes. We are in the process of exploring which factors (parameters) affect most climatic changes, rather than how they affect outcome.

In addition, the cost to collect comprehensive data in order to provide an accurate prediction is unaffordable, so scientists have to be content with currently available and historical data.

For all these reasons, our current predictions are the best to our knowledge, and could be evolving every day as new information emerges.

There are a number of reasons why it is difficult for scientists to predict exactly how the climate will change in the future. Here are two main reasons:

1. Complexity of the climate system: The Earth's climate is a highly complex and interconnected system, involving interactions between the atmosphere, oceans, land surface, ice sheets, and living beings. Understanding all these components and their intricate relationships is a significant challenge. Scientists use computer models to simulate and analyze these interactions. However, due to the immense number of variables involved and the limitations of current knowledge and computational power, accurately modeling and predicting the behavior of the entire climate system is extremely difficult.

2. Uncertainties in future emissions: Climate change is largely driven by human activities, particularly the emission of greenhouse gases (GHGs) such as carbon dioxide. Future emissions depend on numerous factors, including population growth, technological advancements, economic development, and policy decisions. Predicting these variables accurately is a daunting task. It is challenging to anticipate future levels of GHG emissions, which in turn makes it difficult to accurately estimate their impact on the climate system.

To overcome these difficulties and improve climate predictions, scientists continuously refine their understanding of the climate system, gather more data, and refine computational models. They also use historical climate records, observational data, and analyze various climate scenarios to assess potential future outcomes. Despite these efforts, uncertainties always remain, and scientists strive to communicate these uncertainties when presenting climate change projections.