Technology - Climate Modeling

The video discusses the challenges of processing and storing large data sets, particularly in atmospheric and ocean sciences. It highlights the trade-offs between grid complexity and computing power, and how advancements in computing architectures can enhance simulations. However, limitations also arise from a lack of understanding of certain Earth system components, which affects the ability to simulate them accurately.

What are the main challenges associated with processing large amounts of data?

How has the density of grid points changed over the past 30 years in the context of data processing?

Discuss the trade-offs involved in adding complexity to physics models versus the density of grid spacing.

Explain the importance of computer architecture in simulations of atmospheric and ocean sciences.

What factors limit our understanding of different components of the Earth system?