Reanalysis refers to a scientific process in which raw observational data from various sources, such as weather stations or satellites, are combined and reprocessed using modern techniques and models to create a consistent and comprehensive dataset over a specified time period. This reanalyzed data can be used for a wide range of applications, including climate monitoring, weather forecasting, and understanding long-term trends and variability in the atmosphere. Reanalysis datasets are valuable because they provide a more complete and consistent picture of past weather and climate conditions, allowing researchers to improve their understanding of the Earth's system and make more accurate predictions for the future.