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Physics-Informed Statistical Modeling for Wildfire Aerosols Process Using Multi-Source Geostationary Satellite Remote-Sensing Data Streams. (arXiv:2206.11766v1 [stat.AP])
stat.ML updates on arXiv.org arxiv.org
Increasingly frequent wildfires significantly affect solar energy production
as the atmospheric aerosols generated by wildfires diminish the incoming solar
radiation to the earth. Atmospheric aerosols are measured by Aerosol Optical
Depth (AOD), and AOD data streams can be retrieved and monitored by
geostationary satellites. However, multi-source remote-sensing data streams
often present heterogeneous characteristics, including different data missing
rates, measurement errors, systematic biases, and so on. To accurately estimate
and predict the underlying AOD propagation process, there exist practical needs
and …
arxiv data data streams modeling physics process remote remote-sensing satellite sensing statistical statistical modeling