Articles | Volume 10, issue 10
https://doi.org/10.5194/amt-10-3963-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-3963-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Oct 2017
Research article |
| 25 Oct 2017
Assessment of mixed-layer height estimation from single-wavelength ceilometer profiles
Science Systems and Applications Inc., Hampton, Virginia 23666, USA
NASA Langley Research Center, Hampton, Virginia 23681, USA
James J. Szykman
US EPA, Research Triangle Park, Durham, North Carolina 27709, USA
Currently assigned to NASA Langley Research Center, Hampton, Virginia 23681, USA
Russell Long
US EPA, Research Triangle Park, Durham, North Carolina 27709, USA
Rachelle M. Duvall
US EPA, Research Triangle Park, Durham, North Carolina 27709, USA
Jonathan Krug
US EPA, Research Triangle Park, Durham, North Carolina 27709, USA
Melinda Beaver
US EPA, Research Triangle Park, Durham, North Carolina 27709, USA
Kevin Cavender
US EPA, Research Triangle Park, Durham, North Carolina 27709, USA
Keith Kronmiller
Jacobs Technology Inc., Tullahoma, Tennessee 37388, USA
Michael Wheeler
Jacobs Technology Inc., Tullahoma, Tennessee 37388, USA
Ruben Delgado
Joint Center for Earth Systems Technology, University of Maryland Baltimore County, Baltimore, Maryland 21250, USA
Raymond Hoff
Joint Center for Earth Systems Technology, University of Maryland Baltimore County, Baltimore, Maryland 21250, USA
Timothy Berkoff
NASA Langley Research Center, Hampton, Virginia 23681, USA
Erik Olson
Space Science and Engineering Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
Richard Clark
Department of Earth Sciences, Millersville University, Millersville, Pennsylvania 17551, USA
Daniel Wolfe
NOAA/ESRL Physical Sciences Division, Boulder, Colorado 80305, USA
David Van Gilst
National Suborbital Education and Research Center, University of North Dakota, Grand Forks, North Dakota 58202, USA
Doreen Neil
NASA Langley Research Center, Hampton, Virginia 23681, USA
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- Ground-based lidar processing and simulator framework for comparing models and observations (ALCF 1.0) P. Kuma et al. 10.5194/gmd-14-43-2021
- Comprehensive evaluations of diurnal NO<sub>2</sub> measurements during DISCOVER-AQ 2011: effects of resolution-dependent representation of NO<sub><i>x</i></sub> emissions J. Li et al. 10.5194/acp-21-11133-2021
- Evaluating convective planetary boundary layer height estimations resolved by both active and passive remote sensing instruments during the CHEESEHEAD19 field campaign J. Duncan Jr. et al. 10.5194/amt-15-2479-2022
- Evaluating WRF-GC v2.0 predictions of boundary layer height and vertical ozone profile during the 2021 TRACER-AQ campaign in Houston, Texas X. Liu et al. 10.5194/gmd-16-5493-2023
- A Call for an Aloft Air Quality Monitoring Network: Need, Feasibility, and Potential Value R. Mathur et al. 10.1021/acs.est.8b02496
- Study of Planetary Boundary Layer, Air Pollution, Air Quality Models and Aerosol Transport Using Ceilometers in New South Wales (NSW), Australia H. Duc et al. 10.3390/atmos13020176
- Analysis of differences between thermodynamic and material boundary layer structure: Comparison of detection by ceilometer and microwave radiometer Y. Jiang et al. 10.1016/j.atmosres.2020.105179
- The first evaluation of formaldehyde column observations by improved Pandora spectrometers during the KORUS-AQ field study E. Spinei et al. 10.5194/amt-11-4943-2018
- Investigation of factors controlling PM2.5 variability across the South Korean Peninsula during KORUS-AQ C. Jordan et al. 10.1525/elementa.424
- The Korea–United States Air Quality (KORUS-AQ) field study J. Crawford et al. 10.1525/elementa.2020.00163
- Capabilities of an Automatic Lidar Ceilometer to Retrieve Aerosol Characteristics within the Planetary Boundary Layer D. Li et al. 10.3390/rs13183626
- Tall Tower Vertical Profiles and Diurnal Trends of Ammonia in the Colorado Front Range A. Tevlin et al. 10.1002/2017JD026534
- A New Algorithm of Atmospheric Boundary Layer Height Determined from Polarization Lidar B. Han et al. 10.3390/rs14215436
- An Automated Common Algorithm for Planetary Boundary Layer Retrievals Using Aerosol Lidars in Support of the U.S. EPA Photochemical Assessment Monitoring Stations Program V. Caicedo et al. 10.1175/JTECH-D-20-0050.1
- Assimilation of lidar planetary boundary layer height observations A. Tangborn et al. 10.5194/amt-14-1099-2021
- An Inversion Framework for Optimizing Non‐Methane VOC Emissions Using Remote Sensing and Airborne Observations in Northeast Asia During the KORUS‐AQ Field Campaign J. Choi et al. 10.1029/2021JD035844
- Unexpected deep mixing layer in the Sichuan Basin, China Y. Liu et al. 10.1016/j.atmosres.2020.105300
- Predicting wildfire particulate matter and hypothetical re-emission of radiological Cs-137 contamination incidents K. Baker et al. 10.1016/j.scitotenv.2021.148872
- Summertime Urban Mixing Layer Height over Sofia, Bulgaria V. Danchovski 10.3390/atmos10010036
- Mixing-layer depth-based backwards trajectory analysis of the sources of high O3 concentrations at the Wutaishan station, North China S. Yan et al. 10.1016/j.apr.2023.101652
21 citations as recorded by crossref.
- Atmospheric boundary layer height from ground-based remote sensing: a review of capabilities and limitations S. Kotthaus et al. 10.5194/amt-16-433-2023
- Ground-based lidar processing and simulator framework for comparing models and observations (ALCF 1.0) P. Kuma et al. 10.5194/gmd-14-43-2021
- Comprehensive evaluations of diurnal NO<sub>2</sub> measurements during DISCOVER-AQ 2011: effects of resolution-dependent representation of NO<sub><i>x</i></sub> emissions J. Li et al. 10.5194/acp-21-11133-2021
- Evaluating convective planetary boundary layer height estimations resolved by both active and passive remote sensing instruments during the CHEESEHEAD19 field campaign J. Duncan Jr. et al. 10.5194/amt-15-2479-2022
- Evaluating WRF-GC v2.0 predictions of boundary layer height and vertical ozone profile during the 2021 TRACER-AQ campaign in Houston, Texas X. Liu et al. 10.5194/gmd-16-5493-2023
- A Call for an Aloft Air Quality Monitoring Network: Need, Feasibility, and Potential Value R. Mathur et al. 10.1021/acs.est.8b02496
- Study of Planetary Boundary Layer, Air Pollution, Air Quality Models and Aerosol Transport Using Ceilometers in New South Wales (NSW), Australia H. Duc et al. 10.3390/atmos13020176
- Analysis of differences between thermodynamic and material boundary layer structure: Comparison of detection by ceilometer and microwave radiometer Y. Jiang et al. 10.1016/j.atmosres.2020.105179
- The first evaluation of formaldehyde column observations by improved Pandora spectrometers during the KORUS-AQ field study E. Spinei et al. 10.5194/amt-11-4943-2018
- Investigation of factors controlling PM2.5 variability across the South Korean Peninsula during KORUS-AQ C. Jordan et al. 10.1525/elementa.424
- The Korea–United States Air Quality (KORUS-AQ) field study J. Crawford et al. 10.1525/elementa.2020.00163
- Capabilities of an Automatic Lidar Ceilometer to Retrieve Aerosol Characteristics within the Planetary Boundary Layer D. Li et al. 10.3390/rs13183626
- Tall Tower Vertical Profiles and Diurnal Trends of Ammonia in the Colorado Front Range A. Tevlin et al. 10.1002/2017JD026534
- A New Algorithm of Atmospheric Boundary Layer Height Determined from Polarization Lidar B. Han et al. 10.3390/rs14215436
- An Automated Common Algorithm for Planetary Boundary Layer Retrievals Using Aerosol Lidars in Support of the U.S. EPA Photochemical Assessment Monitoring Stations Program V. Caicedo et al. 10.1175/JTECH-D-20-0050.1
- Assimilation of lidar planetary boundary layer height observations A. Tangborn et al. 10.5194/amt-14-1099-2021
- An Inversion Framework for Optimizing Non‐Methane VOC Emissions Using Remote Sensing and Airborne Observations in Northeast Asia During the KORUS‐AQ Field Campaign J. Choi et al. 10.1029/2021JD035844
- Unexpected deep mixing layer in the Sichuan Basin, China Y. Liu et al. 10.1016/j.atmosres.2020.105300
- Predicting wildfire particulate matter and hypothetical re-emission of radiological Cs-137 contamination incidents K. Baker et al. 10.1016/j.scitotenv.2021.148872
- Summertime Urban Mixing Layer Height over Sofia, Bulgaria V. Danchovski 10.3390/atmos10010036
- Mixing-layer depth-based backwards trajectory analysis of the sources of high O3 concentrations at the Wutaishan station, North China S. Yan et al. 10.1016/j.apr.2023.101652
Latest update: 19 Apr 2024
Short summary
Herein we compare the mixed-layer data products from differing ceilometer instruments and meteorological sondes.
Herein we compare the mixed-layer data products from differing ceilometer instruments and...
