Analysis of the impact of rainfall assimilation during LBA atmospheric mesoscale missions in Southwest Amazon

The assimilation of satellite estimated precipitation data can be used as an efficient tool to improve the analysis of rainfall generated by numerical models of weather forecast. The system of data assimilation used in this study is cumulus parameterization inversion based on the Kuo scheme. Reanalysis were performed using the field experiment data of the LBA Project (WETAMC and DRYtoWET-AMC), where it was possible to verify an improvement in the simulations results, since the data assimilation corrects the position and the intensity of rainfall in the numerical model.

► Precipitation assimilation by Kuo's inversion parameterization in BRAMS.
► Reanalysis for WETAMC and DRYtoWET-AMC LBA Project.
► Single point and object-based analysis.
► Improves to the location of rainfall, but intensities reduced.
► Positive impact in the surface temperature, dew point and relative humidity.