Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 16, issue 2
Articles | Volume 16, issue 2
https://doi.org/10.5194/amt-16-563-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-563-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 2
Research article
 | 
30 Jan 2023
Research article |  | 30 Jan 2023

Estimates of the spatially complete, observational-data-driven planetary boundary layer height over the contiguous United States

Zolal Ayazpour, Shiqi Tao, Dan Li, Amy Jo Scarino, Ralph E. Kuehn, and Kang Sun

Data sets

Index of /madisPublic1/data/archive NOAA https://madis-data.cprk.ncep.noaa.gov/madisPublic1/data/archive/

AMDAR_BL_PBLH_DATASET (v1.0) D. Li https://doi.org/10.5281/zenodo.3934378

MERRA-2 tavg1\_2d\_slv\_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Single-Level Diagnostics V5.12.4 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/VJAFPLI1CSIV

NCEP North American Regional Reanalysis (NARR) National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce https://rda.ucar.edu/datasets/ds608.0/

ERA5 hourly data on single levels from 1959 to present ECMWF Support Portal https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=form

Download
Short summary
Accurate knowledge of the planetary boundary layer height (PBLH) is essential to study air pollution. However, PBLH observations are sparse in space and time, and PBLHs used in atmospheric models are often inaccurate. Using PBLH observations from the Aircraft Meteorological DAta Relay (AMDAR), we present a machine learning framework to produce a spatially complete PBLH product over the contiguous US that shows a better agreement with reference PBLH observations than commonly used PBLH products.
Read more