1. Satellite data assimilation
2. Numerical weather prediction
3. Remote sensing
4. Land Use Land Cover Change
Dr. Niama Boukachaba is an associate scientist working at the Global Modeling and Assimilation Office (GMAO) at NASA Goddard Space Flight Center. She is working on two different projects. The first project is focusing on the enhancement of the use of hyperspectral IR radiances, such as CrIS and IASI, in the NASA GEOS data assimilation system through enhanced data selection techniques, error modeling, and data sampling. Update implementation of CrIS and other JPSS measurements in GEOS systems and examine impacts on analysis quality and long-term stability using the GMAO’s present hybrid 4D-ensemble-variational data assimilation framework. The second project involves defining an optimal comprehensive cloud-clearing strategy for AIRS, CrIS and IASI with the ultimate goal of assimilating adaptively thinned cloud-cleared hyperspectral data. Both projects are aimed at enhancing GMAO’s emergent capabilities in data assimilation and contributing to existing projects and research.
Dr. Boukachaba received her PhD in atmospheric physics and satellite data assimilation from the National Center of Meteorological Research (CNRM) of Météo-France and National Polytechnic Institute of Toulouse (INPT), France. Her works were focused on the improvement of the assimilation of IASI radiances over land in the regional and global French NWP models. She has two masters degrees: one in Space Science and Technology, obtained at the African Regional Center for Space Science and Technology (CRASTE-LF), which is affiliated with the United Nations and based in Rabat, Morocco, and the other in Green Engineering & Analytical Methodologies and Management of Biodiversity from Cadi Ayyad University, Marrakesh, Morocco.