Land surface temperature (LST) is the key variable in land–atmosphere interaction, having an important impact on weather and climate forecasting. Although there have been advances in data assimilation within land-atmosphere coupled models, weakly coupled assimilation remains predominant. This means that the cross-component interactions between land and atmosphere are not adequately considered during the assimilation process, making it difficult to achieve consistent analysis between the land and atmospheric variables.
