Alexei Kolgotin
Papers
2
Total Citations
128
H-Index
2
About
Alexei Kolgotin is a leading figure in the field of atmospheric remote sensing, specializing in the inversion of multiwavelength lidar data to characterize complex aerosol plumes. His major contributions center on developing and applying advanced retrieval algorithms that derive vertical profiles of microphysical properties—such as particle size, refractive index, and mass concentration—from optical measurements. In his highly cited 2013 work (83 citations), Kolgotin pioneered the first-ever vertical profiling of pure mineral dust, distinguishing it from mixed smoke-dust plumes using Raman/polarization lidar, a breakthrough that significantly improved our understanding of dust transport and its atmospheric impacts. He further demonstrated the power of his methods by characterizing aged volcanic particles from the 2010 Eyjafjallajökull eruption over Greece, synergizing lidar and sunphotometer data to retrieve comprehensive optical, microphysical, and mass properties (45 citations). Kolgotin’s work is instrumental for climate modeling and air quality studies, providing the critical link between remote sensing observations and the physical properties of aerosols. His innovative inversion techniques remain a cornerstone for researchers studying dust, smoke, and volcanic plumes, solidifying his reputation as a key innovator in lidar aerosol profiling.
Research Focus
Key Achievements
Top Papers
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