Training data of a machine learning modeling framework for the air quality forecasts in the Pacific Northwest, USA.
Training data of a machine learning modeling framework for the air quality forecasts in the Pacific Northwest, USA.
Fan, K.; Dhammapala, R.; Harrington, K.; Lamb, B.; Lee, Y. H.
These files are the training data of a machine learning modeling framework for the air quality forecasts in the Pacific Northwest (PNW), USA.
O3.zip contains the AQS observations data of O3.
PM_FRM.zip contains the AQS data of PM2.5 using federal reference methods (FRM).
PM_nFRM.zip contains the AQS data of PM2.5 using “FRM-like” methods.
WRF_pkl.zip contains the archived WRF data for the AQS sites in the PNW.
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Reseach data in the HZDR data repository RODARE
Publication date: 2022-12-14 Open access
DOI: 10.14278/rodare.2028
Versions: 10.14278/rodare.2029
License: CC-BY-4.0
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Permalink: https://www.hzdr.de/publications/Publ-35834
