December 14, 2022 Dataset Open Access

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

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{
  "issued": {
    "date-parts": [
      [
        2022, 
        12, 
        14
      ]
    ]
  }, 
  "abstract": "<p>These files are the training data of a machine learning modeling framework&nbsp;for the air quality forecasts in the Pacific Northwest (PNW), USA.</p>\n\n<p>O3.zip contains the AQS observations data of O3.</p>\n\n<p>PM_FRM.zip contains the AQS data of PM2.5 using&nbsp;federal reference methods (FRM).</p>\n\n<p>PM_nFRM.zip&nbsp;contains the AQS data of PM2.5 using&nbsp;&ldquo;FRM-like&rdquo;&nbsp;methods.</p>\n\n<p>WRF_pkl.zip contains the archived WRF data for the AQS sites in the PNW.</p>", 
  "DOI": "10.14278/rodare.2029", 
  "id": "2029", 
  "title": "Training data of a machine learning modeling framework\u00a0for the air quality forecasts in the Pacific Northwest, USA.", 
  "type": "dataset", 
  "publisher": "Rodare", 
  "author": [
    {
      "family": "Fan, Kai"
    }, 
    {
      "family": "Dhammapala, Ranil"
    }, 
    {
      "family": "Harrington, Kyle"
    }, 
    {
      "family": "Lamb, Brian"
    }, 
    {
      "family": "Lee, Yun Ha"
    }
  ]
}