Statistical bias correction for CESM-simulated PM2.5
Qi Ran,
John Moore,
Tianyun Dong
et al.
Abstract:Global climate models are good tools for simulating transnational and interregional transport of pollutants such as PM2.5, which is of growing interest and importance, for example in human health and socio-economic development studies. However, reliable estimates of PM2.5 are very challenging for such relatively coarse and simplified models, and even state of the art models fare poorly in matching satellite observations in many highly polluted, and some almost pristine environments. This work describes a novel… Show more
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