Development of Physics-Informed Convolutional Neural Network (PI-CNN) Model for Retrieval of High-resolution AOD over Cities of Indo-Gangetic Plain

Rohit Kumar Singh; Achanta Naga Venkata Satyanarayana

doi:https://doi.org/10.5194/egusphere-egu26-2321

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EGU26-2321, updated on 13 Mar 2026

https://doi.org/10.5194/egusphere-egu26-2321

EGU General Assembly 2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development of Physics-Informed Convolutional Neural Network (PI-CNN) Model for Retrieval of High-resolution AOD over Cities of Indo-Gangetic Plain

Rohit Kumar Singh¹ and Achanta Naga Venkata Satyanarayana²

Rohit Kumar Singh and Achanta Naga Venkata Satyanarayana

¹Indian Institute of Technology, Kharagpur, Centre for Ocean, River, Atmosphere and Land Sciences, Kharagpur, India (rohitsinghres@iitkgp.ac.in)
²Indian Institute of Technology, Kharagpur, Centre for Ocean, River, Atmosphere and Land Sciences, Kharagpur, India (anvsatya@coral.iitkgp.ac.in)

How to cite: Kumar Singh, R. and Satyanarayana, A. N. V.: Development of Physics-Informed Convolutional Neural Network (PI-CNN) Model for Retrieval of High-resolution AOD over Cities of Indo-Gangetic Plain, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2321, https://doi.org/10.5194/egusphere-egu26-2321, 2026.

This abstract has been withdrawn on 11 Aug 2026.