N. Asencio
Papers
1
Total Citations
153
H-Index
1
About
N. Asencio is a leading figure in aerosol science and atmospheric modeling, whose work has been instrumental in advancing global operational aerosol prediction. Their primary research focuses on the development and evaluation of multi-model ensemble (MME) systems, particularly through their involvement with the International Cooperative for Aerosol Prediction (ICAP). Asencio’s major contribution is the landmark 2019 study, "Current state of the global operational aerosol multi‐model ensemble," which has garnered 153 citations. This work provided a critical update on the ICAP MME, expanding the number of operational models from five to nine and rigorously assessing their performance. By synthesizing data from diverse global models, Asencio has enabled more accurate forecasts of aerosol distributions, directly benefiting climate research, air quality monitoring, and public health. Their efforts have established a benchmark for collaborative, real-time aerosol prediction, showcasing the power of international scientific cooperation. Asencio’s achievements underscore their role as a key architect of the tools that underpin modern aerosol science.
Research Focus
Key Achievements
Top Papers
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