Kornelia Mies
Papers
2
Total Citations
32
H-Index
2
About
Kornelia Mies is an atmospheric scientist whose research centers on remote sensing of trace gases and water vapor using Multi-AXis Differential Optical Absorption Spectroscopy (MAX-DOAS). Her major contribution lies in developing an innovative retrieval algorithm for measuring the total atmospheric water vapor column from MAX-DOAS observations in the yellow and red spectral range. This method, based on the geometric approximation, enables accurate, independent water vapor measurements without relying on traditional ancillary data. Her most cited work, a 2013 paper detailing this algorithm and its validation against independent observations, has garnered 30 citations, demonstrating its value to the atmospheric science community. Mies’s research directly supports climate monitoring, weather prediction, and studies of the hydrological cycle by providing a robust tool for water vapor quantification. Her work exemplifies how advanced spectroscopic techniques can enhance our understanding of atmospheric composition, making her a notable contributor to the field of environmental remote sensing.
Research Focus
Key Achievements
Top Papers
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