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Title: Atmospheric Boundary Layer Classification With Doppler Lidar

Abstract

Abstract We present a method using Doppler lidar data for identifying the main sources of turbulent mixing within the atmospheric boundary layer. The method identifies the presence of turbulence and then assigns a turbulent source by combining several lidar quantities: attenuated backscatter coefficient, vertical velocity skewness, dissipation rate of turbulent kinetic energy, and vector wind shear. Both buoyancy‐driven and shear‐driven situations are identified, and the method operates in both clear‐sky and cloud‐topped conditions, with some reservations in precipitation. To capture the full seasonal cycle, the classification method was applied to more than 1 year of data from two sites, Hyytiälä, Finland, and Jülich, Germany. Analysis showed seasonal variation in the diurnal cycle at both sites; a clear diurnal cycle was observed in spring, summer, and autumn seasons, but due to their respective latitudes, a weaker cycle in winter at Jülich, and almost non‐existent at Hyytiälä. Additionally, there are significant contributions from sources other than convective mixing, with cloud‐driven mixing being observed even within the first 500 m above ground. Also evident is the considerable amount of nocturnal mixing within the lowest 500 m at both sites, especially during the winter. The presence of a low‐level jet was often detected when sources of nocturnalmore » mixing were diagnosed as wind shear. The classification scheme and the climatology extracted from the classification provide insight into the processes responsible for mixing within the atmospheric boundary layer, how variable in space and time these can be, and how they vary with location.« less

Authors:
ORCiD logo [1]; ORCiD logo [2];  [3]; ORCiD logo [4]
  1. Univ. of Helsinki (Finland)
  2. Institute for Geophysics and Meteorology, University of Cologne, Cologne Germany
  3. Univ. of Helsinki (Finland); Vaisala Oyj, Vantaa (Finland); Finnish Meteorological Inst. (FMI), Helsinki (Finland)
  4. Finnish Meteorological Inst. (FMI), Helsinki (Finland); Univ. of Reading (United Kingdom)
Publication Date:
Research Org.:
Univ. of Helsinki (Finland)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1539731
Alternate Identifier(s):
OSTI ID: 1463196
Grant/Contract Number:  
SC0017338
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Geophysical Research: Atmospheres
Additional Journal Information:
Journal Volume: 123; Journal Issue: 15; Journal ID: ISSN 2169-897X
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Meteorology & Atmospheric Sciences

Citation Formats

Manninen, A. J., Marke, T., Tuononen, M., and O'Connor, E. J. Atmospheric Boundary Layer Classification With Doppler Lidar. United States: N. p., 2018. Web. doi:10.1029/2017jd028169.
Manninen, A. J., Marke, T., Tuononen, M., & O'Connor, E. J. Atmospheric Boundary Layer Classification With Doppler Lidar. United States. https://doi.org/10.1029/2017jd028169
Manninen, A. J., Marke, T., Tuononen, M., and O'Connor, E. J. Fri . "Atmospheric Boundary Layer Classification With Doppler Lidar". United States. https://doi.org/10.1029/2017jd028169. https://www.osti.gov/servlets/purl/1539731.
@article{osti_1539731,
title = {Atmospheric Boundary Layer Classification With Doppler Lidar},
author = {Manninen, A. J. and Marke, T. and Tuononen, M. and O'Connor, E. J.},
abstractNote = {Abstract We present a method using Doppler lidar data for identifying the main sources of turbulent mixing within the atmospheric boundary layer. The method identifies the presence of turbulence and then assigns a turbulent source by combining several lidar quantities: attenuated backscatter coefficient, vertical velocity skewness, dissipation rate of turbulent kinetic energy, and vector wind shear. Both buoyancy‐driven and shear‐driven situations are identified, and the method operates in both clear‐sky and cloud‐topped conditions, with some reservations in precipitation. To capture the full seasonal cycle, the classification method was applied to more than 1 year of data from two sites, Hyytiälä, Finland, and Jülich, Germany. Analysis showed seasonal variation in the diurnal cycle at both sites; a clear diurnal cycle was observed in spring, summer, and autumn seasons, but due to their respective latitudes, a weaker cycle in winter at Jülich, and almost non‐existent at Hyytiälä. Additionally, there are significant contributions from sources other than convective mixing, with cloud‐driven mixing being observed even within the first 500 m above ground. Also evident is the considerable amount of nocturnal mixing within the lowest 500 m at both sites, especially during the winter. The presence of a low‐level jet was often detected when sources of nocturnal mixing were diagnosed as wind shear. The classification scheme and the climatology extracted from the classification provide insight into the processes responsible for mixing within the atmospheric boundary layer, how variable in space and time these can be, and how they vary with location.},
doi = {10.1029/2017jd028169},
journal = {Journal of Geophysical Research: Atmospheres},
number = 15,
volume = 123,
place = {United States},
year = {Fri Jun 29 00:00:00 EDT 2018},
month = {Fri Jun 29 00:00:00 EDT 2018}
}

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Works referenced in this record:

Stable Atmospheric Boundary Layers and Diurnal Cycles: Challenges for Weather and Climate Models
journal, November 2013

  • Holtslag, A. A. M.; Svensson, G.; Baas, P.
  • Bulletin of the American Meteorological Society, Vol. 94, Issue 11
  • DOI: 10.1175/BAMS-D-11-00187.1

Remote sensing of the tropical rain forest boundary layer using pulsed Doppler lidar
journal, January 2010

  • Pearson, G.; Davies, F.; Collier, C.
  • Atmospheric Chemistry and Physics, Vol. 10, Issue 13
  • DOI: 10.5194/acp-10-5891-2010

Turbulent Velocity-Variance Profiles in the Stable Boundary Layer Generated by a Nocturnal Low-Level Jet
journal, November 2006

  • Banta, Robert M.; Pichugina, Yelena L.; Brewer, W. Alan
  • Journal of the Atmospheric Sciences, Vol. 63, Issue 11
  • DOI: 10.1175/JAS3776.1

Surface-based remote sensing of the mixing-layer height a review [Surface-based remote sensing of the mixing-layer height a review]
journal, October 2008


Numerical Simulation of the Stratus-to-Cumulus Transition in the Subtropical Marine Boundary Layer. Part II: Boundary-Layer Circulation
journal, August 1995


A Comparison of Shear- and Buoyancy-Driven Planetary Boundary Layer Flows
journal, April 1994


Retrieving Stratocumulus Drizzle Parameters Using Doppler Radar and Lidar
journal, January 2005

  • O’Connor, Ewan J.; Hogan, Robin J.; Illingworth, Anthony J.
  • Journal of Applied Meteorology, Vol. 44, Issue 1
  • DOI: 10.1175/JAM-2181.1

Weighted skewness and kurtosis unbiased by sample size and Gaussian uncertainties
journal, July 2014


Low-level mixing height detection in coastal locations with a scanning Doppler lidar
journal, January 2015

  • Vakkari, V.; O'Connor, E. J.; Nisantzi, A.
  • Atmospheric Measurement Techniques, Vol. 8, Issue 4
  • DOI: 10.5194/amt-8-1875-2015

Discrete spectral peak estimation in incoherent backscatter heterodyne lidar. I. Spectral accumulation and the Cramer-Rao lower bound
journal, January 1993

  • Rye, B. J.; Hardesty, R. M.
  • IEEE Transactions on Geoscience and Remote Sensing, Vol. 31, Issue 1
  • DOI: 10.1109/36.210440

The Diurnal Temperature Cycle and Its Relation to Boundary-Layer Structure During the Morning Transition
journal, December 2013


Doppler Lidar Estimation of Mixing Height Using Turbulence, Shear, and Aerosol Profiles
journal, April 2009

  • Tucker, Sara C.; Senff, Christoph J.; Weickmann, Ann M.
  • Journal of Atmospheric and Oceanic Technology, Vol. 26, Issue 4
  • DOI: 10.1175/2008JTECHA1157.1

A generalised background correction algorithm for a Halo Doppler lidar and its application to data from Finland
journal, January 2016

  • Manninen, Antti J.; O'Connor, Ewan J.; Vakkari, Ville
  • Atmospheric Measurement Techniques, Vol. 9, Issue 2
  • DOI: 10.5194/amt-9-817-2016

Observing wind, aerosol particles, cloud and precipitation: Finland's new ground-based remote-sensing network
journal, January 2014

  • Hirsikko, A.; O'Connor, E. J.; Komppula, M.
  • Atmospheric Measurement Techniques, Vol. 7, Issue 5
  • DOI: 10.5194/amt-7-1351-2014

Mixing Processes in a Nocturnal Low-Level Jet: An LES Study
journal, May 2007

  • Cuxart, J.; Jiménez, M. A.
  • Journal of the Atmospheric Sciences, Vol. 64, Issue 5
  • DOI: 10.1175/JAS3903.1

Estimating Spatial Velocity Statistics with Coherent Doppler Lidar
journal, March 2002


Low-Level Jets over Utö, Finland, Based on Doppler Lidar Observations
journal, September 2017

  • Tuononen, Minttu; O’Connor, Ewan J.; Sinclair, Victoria A.
  • Journal of Applied Meteorology and Climatology, Vol. 56, Issue 9
  • DOI: 10.1175/JAMC-D-16-0411.1

Stratocumulus Clouds
journal, August 2012


The 2015 Plains Elevated Convection at Night Field Project
journal, April 2017

  • Geerts, Bart; Parsons, David; Ziegler, Conrad L.
  • Bulletin of the American Meteorological Society, Vol. 98, Issue 4
  • DOI: 10.1175/BAMS-D-15-00257.1

Continuous monitoring of the boundary-layer top with lidar
journal, January 2008

  • Baars, H.; Ansmann, A.; Engelmann, R.
  • Atmospheric Chemistry and Physics, Vol. 8, Issue 23
  • DOI: 10.5194/acp-8-7281-2008

An assessment of the performance of a 1.5 μm Doppler lidar for operational vertical wind profiling based on a 1-year trial
journal, January 2015

  • Päschke, E.; Leinweber, R.; Lehmann, V.
  • Atmospheric Measurement Techniques, Vol. 8, Issue 6
  • DOI: 10.5194/amt-8-2251-2015

Vertical velocity variance and skewness in clear and cloud-topped boundary layers as revealed by Doppler lidar
journal, April 2009

  • Hogan, Robin J.; Grant, Alan L. M.; Illingworth, Anthony J.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 135, Issue 640
  • DOI: 10.1002/qj.413

A Method for Estimating the Turbulent Kinetic Energy Dissipation Rate from a Vertically Pointing Doppler Lidar, and Independent Evaluation from Balloon-Borne In Situ Measurements
journal, October 2010

  • O’Connor, Ewan J.; Illingworth, Anthony J.; Brooks, Ian M.
  • Journal of Atmospheric and Oceanic Technology, Vol. 27, Issue 10
  • DOI: 10.1175/2010JTECHA1455.1

Boundary layer dynamics over London, UK, as observed using Doppler lidar during REPARTEE-II
journal, January 2011

  • Barlow, J. F.; Dunbar, T. M.; Nemitz, E. G.
  • Atmospheric Chemistry and Physics, Vol. 11, Issue 5
  • DOI: 10.5194/acp-11-2111-2011

Doppler Lidar Observations of the Mixing Height in Indianapolis Using an Automated Composite Fuzzy Logic Approach
journal, March 2018

  • Bonin, Timothy A.; Carroll, Brian J.; Hardesty, R. Michael
  • Journal of Atmospheric and Oceanic Technology, Vol. 35, Issue 3
  • DOI: 10.1175/JTECH-D-17-0159.1

Convective Boundary-Layer Entrainment: Short Review and Progress using Doppler Lidar
journal, September 2011


Numerical Investigation of Neutral and Unstable Planetary Boundary Layers
journal, January 1972


An Analysis of the Performance of the UFAM Pulsed Doppler Lidar for Observing the Boundary Layer
journal, February 2009

  • Pearson, Guy; Davies, Fay; Collier, Chris
  • Journal of Atmospheric and Oceanic Technology, Vol. 26, Issue 2
  • DOI: 10.1175/2008JTECHA1128.1

The BLLAST field experiment: Boundary-Layer Late Afternoon and Sunset Turbulence
journal, January 2014


A method to diagnose boundary-layer type using Doppler lidar: A Method to Diagnose Boundary-Layer Type
journal, January 2013

  • Harvey, Natalie J.; Hogan, Robin J.; Dacre, Helen F.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 139, Issue 676
  • DOI: 10.1002/qj.2068

Linking Meteorology, Turbulence, and Air Chemistry in the Amazon Rain Forest
journal, December 2016

  • Fuentes, Jose D.; Chamecki, Marcelo; Nascimento dos Santos, Rosa Maria
  • Bulletin of the American Meteorological Society, Vol. 97, Issue 12, p. 2329-2342
  • DOI: 10.1175/BAMS-D-15-00152.1

Validating precision estimates in horizontal wind measurements from a Doppler lidar
journal, January 2017

  • Newsom, Rob K.; Brewer, W. Alan; Wilczak, James M.
  • Atmospheric Measurement Techniques, Vol. 10, Issue 3
  • DOI: 10.5194/amt-10-1229-2017

Measurements of wind turbulence parameters by a conically scanning coherent Doppler lidar in the atmospheric boundary layer
journal, January 2017

  • Smalikho, Igor N.; Banakh, Viktor A.
  • Atmospheric Measurement Techniques, Vol. 10, Issue 11
  • DOI: 10.5194/amt-10-4191-2017

Doppler lidar measurements of oriented planar ice crystals falling from supercooled and glaciated layer clouds
journal, January 2010

  • Westbrook, C. D.; Illingworth, A. J.; O'Connor, E. J.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 136, Issue 646
  • DOI: 10.1002/qj.528

Review: the atmospheric boundary layer
journal, October 1994


The Nature, Theory, and Modeling of Atmospheric Planetary Boundary Layers
journal, February 2011

  • Baklanov, Alexander A.; Grisogono, Branko; Bornstein, Robert
  • Bulletin of the American Meteorological Society, Vol. 92, Issue 2
  • DOI: 10.1175/2010BAMS2797.1

Mixing-layer height retrieval with ceilometer and Doppler lidar: from case studies to long-term assessment
journal, January 2014

  • Schween, J. H.; Hirsikko, A.; Löhnert, U.
  • Atmospheric Measurement Techniques, Vol. 7, Issue 11
  • DOI: 10.5194/amt-7-3685-2014

A scalable bootstrap for massive data
journal, March 2014

  • Kleiner, Ariel; Talwalkar, Ameet; Sarkar, Purnamrita
  • Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 76, Issue 4
  • DOI: 10.1111/rssb.12050

On the unified estimation of turbulence eddy dissipation rate using Doppler cloud radars and lidars: Radar and Lidar Turbulence Estimation
journal, May 2016

  • Borque, Paloma; Luke, Edward; Kollias, Pavlos
  • Journal of Geophysical Research: Atmospheres, Vol. 121, Issue 10
  • DOI: 10.1002/2015JD024543

Lidar remote sensing of cloud formation caused by low-level jets: Cloud Formation Caused by Low-Level Jets
journal, May 2016

  • Su, Jia; Felton, Melvin; Lei, Liqiao
  • Journal of Geophysical Research: Atmospheres, Vol. 121, Issue 10
  • DOI: 10.1002/2015JD024590

The BLLAST field experiment: Boundary-Layer Late Afternoon and Sunset Turbulence
journal, January 2014


Surface-based remote sensing of the mixing-layer height - a review
text, January 2008


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journal, August 2019

  • Yang, Yuanjian; Yim, Steve H. L.; Haywood, Jim
  • Journal of Geophysical Research: Atmospheres, Vol. 124, Issue 16
  • DOI: 10.1029/2019jd031140

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journal, June 2019

  • Chilson, Phillip B.; Bell, Tyler M.; Brewster, Keith A.
  • Sensors, Vol. 19, Issue 12
  • DOI: 10.3390/s19122720

A novel post-processing algorithm for Halo Doppler lidars
journal, January 2019

  • Vakkari, Ville; Manninen, Antti J.; O'Connor, Ewan J.
  • Atmospheric Measurement Techniques, Vol. 12, Issue 2
  • DOI: 10.5194/amt-12-839-2019

Relationship analysis of PM 2.5 and boundary layer height using an aerosol and turbulence detection lidar
journal, January 2019

  • Wang, Chong; Jia, Mingjiao; Xia, Haiyun
  • Atmospheric Measurement Techniques, Vol. 12, Issue 6
  • DOI: 10.5194/amt-12-3303-2019

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journal, June 2019

  • Chilson, Phillip B.; Bell, Tyler M.; Brewster, Keith A.
  • Sensors, Vol. 19, Issue 12
  • DOI: 10.3390/s19122720

Methodology for deriving the telescope focus function and its uncertainty for a heterodyne pulsed Doppler lidar
journal, January 2020

  • Pentikäinen, Pyry; O'Connor, Ewan James; Manninen, Antti Juhani
  • Atmospheric Measurement Techniques, Vol. 13, Issue 5
  • DOI: 10.5194/amt-13-2849-2020

Inter-comparison of atmospheric boundary layer (ABL) height estimates from different profiling sensors and models in the framework of HyMeX-SOP1
journal, July 2022

  • Summa, Donato; Madonna, Fabio; Franco, Noemi
  • Atmospheric Measurement Techniques, Vol. 15, Issue 14
  • DOI: 10.5194/amt-15-4153-2022