Dataset Open Access

Training data of a machine learning modeling framework for the air quality forecasts in the Pacific Northwest, USA.

Fan, Kai; Dhammapala, Ranil; Harrington, Kyle; Lamb, Brian; Lee, Yun Ha

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.

Files (1.8 GB)
Name Size
O3.zip
md5:64ae0bbadd36040492aec6413c8487b2
130.8 MB Download
PM_FRM.zip
md5:975a29ede7794ba6fe7c1e6f56047e18
33.7 MB Download
PM_nFRM.zip
md5:54e2846e53f29efaffbd49c6bf27744b
69.5 MB Download
WRF_pkl.zip
md5:ecccd00c0026b8165fa2992ed2d4a916
1.5 GB Download
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Views 438438
Downloads 175175
Data volume 78.1 GB78.1 GB
Unique views 352352
Unique downloads 7070

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Cite as

Fan, Kai, Dhammapala, Ranil, Harrington, Kyle, Lamb, Brian, & Lee, Yun Ha. (2022). Training data of a machine learning modeling framework for the air quality forecasts in the Pacific Northwest, USA. [Data set]. Rodare. http://doi.org/10.14278/rodare.2029

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