Template: Title goes here {A machine-learning-based global sea-surface iodide distribution}

[ayushanand18]

Read here <- link to the research paper/article

Why was this research important? <- extrapolate why this research was needed, not more than 2 bullets

• Iodide in the sea-surface plays an important role in the Earth system. It modulates the oxidizing capacity of the troposphere and provides iodine to terrestrial ecosystems.
• However, our understanding of its distribution is limited due to a paucity of observations.

What they did? <- explain their method a bit, not more than 3 bullets

• used a machine learning regression approach (random forest regression) to generate a high-resolution (0.125∘×0.125∘, ∼12.5km×12.5km), monthly dataset of present-day global sea-surface iodide.

Key takeaways for us <- the most important part of us, make it as insightful as possible

• global iodide database freely available - https://doi.org/10/gfv5v3.
• random forest regressor
• most concentration are largely same along a latitude
• we can plot a probability distribution, and KDE on top of it.