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Faculty Details

Dr. Goutam Choudhury

Dr. Goutam Choudhury

Designation
Assistant Professor

Areas of Interest/Specialisation
Satellite Remote Sensing (Algorithm, Validation and Applications), Aerosol-Cloud-Climate Interactions, Indian Monsoon, Cloud Feedbacks, Atmospheric Radiation and Radiative Forcing, Atmospheric Transport Modelling, Air Pollution

Year of Joining at NU
July 2026

Name and details of Ph.D. Degree awarded Institution

Leipzig Institute for Meteorology, Leipzig University, Germany

Awards/Honours

  • rightAwarded the Walter Benjamin Fellowship by the German Research Foundation (DFG; Grant No. 524386224) to pursue independent postdoctoral research.
  • rightReceived the Outstanding Publication Award from the Data Science Institute, Bar-Ilan University.
  • rightAwarded the highest doctoral distinction, Summa Cum Laude, by Leipzig University.
  • rightAwarded the Institute Medal by the National Institute of Technology Rourkela for securing first position in the M.Sc. program.
  • rightReceived the Srinivas Panda Memorial Award from Berhampur University for graduating as the university topper in the B.Sc. program.

Best Peer-reviewed Publications (Best 05)

  • rightGoutam Choudhury, Tom Goren, and Matthias Tesche (2026). Satellite observations show negligible impact of mineral dust on cloud droplet number. Geophysical Research Letters, 53, e2025GL120234. https://doi.org/10.1029/2025GL120234
  • rightGoutam Choudhury and Tom Goren (2025). Sampling bias from satellite retrieval failures of cloud properties and its implications for aerosol-cloud interactions. Geophysical Research Letters, 52, e2025GL115429. https://doi.org/10.1029/2025GL115429
  • rightGoutam Choudhury, Karoline Block, Mahnoosh Haghighatnasab, Johannes Quaas, Tom Goren, and Matthias Tesche (2025): Pristine oceans are a significant source of uncertainty in quantifying global cloud condensation nuclei. Atmospheric Chemistry and Physics, 25, 3841–3856. https://doi.org/10.5194/acp-25-3841-2025
  • rightGoutam Choudhury and Matthias Tesche (2023): A first global height-resolved cloud condensation nuclei data set derived from spaceborne lidar measurements. Earth System Science Data, 15, 3747–3760. https://doi.org/10.5194/essd-15-3747-2023
  • rightGoutam Choudhury and Matthias Tesche (2022): Estimating cloud condensation nuclei concentrations from CALIPSO lidar measurements. Atmospheric Measurement Techniques, 15, 639–654. https://doi.org/10.5194/amt-15-639-2022
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