This project is to develop new techniques required to maximize the extraction of information from SmallSats observations and account for their novel characteristics.  The focus of the research is on adaptive sampling and dynamic uncertainty estimation using both statistical approaches and machine learning methods. 

References:

Christophersen, H., W. Campbell, S. Swadely, et al. (2023). Leveraging SmallSats to improve atmospheric prediction. 103rd AMS, Denver, CO. 

Campbell W., H. Christophersen, L. Satterfield, D. Sidoti. (2023). A strategy for assimilating data from microsats.  ITSC24, Tromso, Norway.

key words

Data assimilation; SmallSats; adaptive sampling; uncertainty quantification; machine learning; verification and validation

Citizenship:  Open to U.S. citizens and permanent residents

Level:  Open to Postdoctoral applicants