Land Surface Models

Land Surface Models (LSMs) are computer simulations used to understand and predict how the Earth's land interacts with the atmosphere. They focus on factors like soil moisture, temperature, vegetation, and snow, which influence weather patterns and climate. By modeling these interactions, LSMs help scientists study processes such as carbon storage, water cycles, and the impacts of climate change on ecosystems. Essentially, they provide valuable insights into how changes on land can affect the environment and contribute to global climate systems.