NARR-based Wind and Pasquill Stability Class Climate Dataset
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'In this study, a North American Regional Reanalysis (NARR; Mesinger et al. 2006)-based wind and Pasquill stability class climate dataset was developed for the North American Great Lakes region.  Motivated by the need to update the limited wind and Pasquill stability class climatology previously incorporated into a livestock odor nuisance-mitigation application used in Michigan, this study was motivated more generally by the lack of a long-term climate dataset suitable for studies of atmospheric dispersion in the Great Lakes region.  As a preliminary step, NARR 10-m wind speed, 10-m wind direction, and 2-m temperature were evaluated at eight weather stations in Michigan and northern Indiana, and the wind speed variable was subsequently bias corrected.  To derive a Pasquill stability class dataset from the NARR variables, an existing empi' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["NARR, dispersion, Pasquill stability, wind, climatology, Great Lakes"]} <|eot_id|>
 Here is the Description of a dataset. Description:'In this study, a North American Regional Reanalysis (NARR; Mesinger et al. 2006)-based wind and Pasquill stability class climate dataset was developed for the North American Great Lakes region.  Motivated by the need to update the limited wind and Pasquill stability class climatology previously incorporated into a livestock odor nuisance-mitigation application used in Michigan, this study was motivated more generally by the lack of a long-term climate dataset suitable for studies of atmospheric dispersion in the Great Lakes region.  As a preliminary step, NARR 10-m wind speed, 10-m wind direction, and 2-m temperature were evaluated at eight weather stations in Michigan and northern Indiana, and the wind speed variable was subsequently bias corrected.  To derive a Pasquill stability class dataset from the NARR variables, an existing empi' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
In this study, a North American Regional Reanalysis (NARR; Mesinger et al. 2006)-based wind and Pasquill stability class climate dataset was developed for the North American Great Lakes region.  Motivated by the need to update the limited wind and Pasquill stability class climatology previously incorporated into a livestock odor nuisance-mitigation application used in Michigan, this study was motivated more generally by the lack of a long-term climate dataset suitable for studies of atmospheric dispersion in the Great Lakes region.  As a preliminary step, NARR 10-m wind speed, 10-m wind direction, and 2-m temperature were evaluated at eight weather stations in Michigan and northern Indiana, and the wind speed variable was subsequently bias corrected.  To derive a Pasquill stability class dataset from the NARR variables, an existing empi
NARR, dispersion, Pasquill stability, wind, climatology, Great Lakes