Editorial Type:
Article
Article Type:
Research Article

Estimating Planetary Boundary Layer Heights from NOAA Profiler Network Wind Profiler Data

A. Molod NASA Goddard Space Flight Center, Greenbelt, Maryland

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H. Salmun Hunter College of the City University of New York, New York, New York

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M. Dempsey Earth and Environmental Sciences, Graduate Center, City University of New York, New York, New York

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Print Publication:
01 Sep 2015
DOI:
https://doi.org/10.1175/JTECH-D-14-00155.1
Page(s):
1545–1561
Restricted access

Abstract

An algorithm was developed to estimate planetary boundary layer (PBL) heights from hourly archived wind profiler data from the NOAA Profiler Network (NPN) sites located throughout the central United States. Unlike previous studies, the present algorithm has been applied to a long record of publicly available wind profiler signal backscatter data. Under clear-sky conditions, summertime averaged hourly time series of PBL heights compare well with Richardson number–based estimates at the few NPN stations with hourly temperature measurements. Comparisons with estimates based on clear-sky reanalysis show that the wind profiler (WP) PBL heights are lower by approximately 250–500 m. The geographical distribution of daily maximum PBL heights corresponds well with the expected distribution based on patterns of surface temperature and soil moisture. Wind profiler PBL heights were also estimated under mostly cloudy-sky conditions, and are generally comparable to the Richardson number–based PBL heights and higher than the reanalysis PBL heights. WP PBL heights have a smaller clear–cloudy condition difference than either of the other two. The algorithm presented here is shown to provide a reliable summertime climatology of daytime hourly PBL heights throughout the central United States.

Additional affiliation: Earth System Science Interdisciplinary Center, University of Maryland, College Park, College Park, Maryland.

Additional affiliation: Earth and Environmental Sciences, Graduate Center, City University of New York, New York, New York.

Corresponding author address: Andrea Molod, NASA Goddard Space Flight Center, 8800 Greenbelt Rd., Greenbelt, MD 20771. E-mail: andrea.molod@nasa.gov

Abstract

An algorithm was developed to estimate planetary boundary layer (PBL) heights from hourly archived wind profiler data from the NOAA Profiler Network (NPN) sites located throughout the central United States. Unlike previous studies, the present algorithm has been applied to a long record of publicly available wind profiler signal backscatter data. Under clear-sky conditions, summertime averaged hourly time series of PBL heights compare well with Richardson number–based estimates at the few NPN stations with hourly temperature measurements. Comparisons with estimates based on clear-sky reanalysis show that the wind profiler (WP) PBL heights are lower by approximately 250–500 m. The geographical distribution of daily maximum PBL heights corresponds well with the expected distribution based on patterns of surface temperature and soil moisture. Wind profiler PBL heights were also estimated under mostly cloudy-sky conditions, and are generally comparable to the Richardson number–based PBL heights and higher than the reanalysis PBL heights. WP PBL heights have a smaller clear–cloudy condition difference than either of the other two. The algorithm presented here is shown to provide a reliable summertime climatology of daytime hourly PBL heights throughout the central United States.

Additional affiliation: Earth System Science Interdisciplinary Center, University of Maryland, College Park, College Park, Maryland.

Additional affiliation: Earth and Environmental Sciences, Graduate Center, City University of New York, New York, New York.

Corresponding author address: Andrea Molod, NASA Goddard Space Flight Center, 8800 Greenbelt Rd., Greenbelt, MD 20771. E-mail: andrea.molod@nasa.gov
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Journal of Atmospheric and Oceanic Technology

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