GESTAR II researchers publish as lead and co-authors

Over the past few weeks, GESTAR II researchers have published in a variety of publications on different topics as lead and co-authors. Check out the following select papers.

Korkin, S. (613/UMBC), and A. Lyapustin (2023), Radiative interaction of atmosphere and surface: Write-up with elements of code, Journal of Quantitative Spectroscopy and Radiative Transfer, https://doi.org/10.1016/j.jqsrt.2023.108663.

Yang, Y., D. Kiv, S. Bhatta (613/UMBC), M. Ganeshan (613/MSU), X. Lu, and S. Palm (2023), Diagnosis of Antarctic blowing snow properties using MERRA-2 Reanalysis with a machine learning model, J. Appl. Meteor. Climatol., https://doi.org/10.1175/JAMC-D-23-0004.1.

Anderson, D. (614/UMBC), B. Duncan, J. Nicely, J. Liu (614/MSU), S. Strode (614/MSU), and M. Follette-Cook (2023), Technical note: Constraining the hydroxyl (OH) radical in the tropics with satellite observations of its drivers - first steps toward assessing the feasibility of a global observation strategy, Atmos. Chem. Phys., doi:10.5194/acp-23-6319-2023. 

Sullivan, J. T., R. Stauffer, A. Thompson (610/Emeritus), M. Tzortziou, C. Loughner, C. Jordan, and J. Santanello (2023), Surf, turf, and above the Earth: Unmet needs for coastal air quality science in the planetary boundary layer (PBL), Earth's Future, 11, https://doi.org/10.1029/2023EF003535.

Wu, D., N. Swarnalingam, C.C.J.H Salinas (613/UMBC), D. Emmons, T. Summers, and R. Gardiner-Garden (2023), Optimal estimation inversion of ionospheric electron density from GNSS-POD limb measurements: Part I-algorithm and morphology, Rem. Sens., 15, 3245, https://doi.org/10.3390/rs15133245.

Bhatta, S. (613/MSU), and Y. Yang (2023), Reconstructing PM2.5 data record for the Kathmandu Valley using a machine learning model, Atmos., 14, https://doi.org/10.3390/atmos14071073.