U.S. Department of Energy Office of Biological and Environmental Research

BER Research Highlights

Studying Details of Turbulent Eddies in the Atmosphere
Published: May 27, 2016
Posted: July 29, 2016

Using ARM radar and lidar observations, scientists gain insight into atmospheric turbulence.

The Science
Turbulence is one of the most important physical processes in the atmospheric boundary layer, responsible for vertical transport of water vapor, momentum, mass, and pollutants, which affect boundary layer evolution and cloud formation. Turbulent motions also drive entrainment mixing in clouds and influence cloud microphysics and precipitation formation.

The Impact
The turbulent eddy dissipation rate, or rate at which energy cascades from large to small eddies, is an important parameter in the numerical modeling of clouds. Since climate models cannot resolve all turbulent eddies, they must parameterize their effects, and the eddy dissipation rate is used in the parameterization of the average eddy size or mixing length in the turbulence equations. An improved understanding of in-cloud turbulence can lead to a better understanding of cloud lifecycle and cloud microphysical processes and also to improved representation of clouds in numerical weather prediction and global climate models.

Coincident profiling observations from Doppler lidars and radars operated by the Department of Energy’s Atmospheric Radiation Measurement (ARM) Climate Research Facility are used to estimate the turbulence energy dissipation rate (ε) using three different data sources: (1) Doppler radar velocity (DRV), (2) Doppler lidar velocity (DLV), and (3) Doppler radar spectrum width (DRW) measurements. The agreement between the derived ε estimates is examined at the cloud base height of stratiform warm clouds. Collocated ε estimates based on power spectra analysis of DRV and DLV measurements show good agreement during both drizzling and non-drizzling conditions. This finding suggests that unified (below and above cloud base) time-height estimates of ε in cloud-topped boundary layer conditions can be produced, regardless of the size of the particles present in the radar volume. This finding also suggests that eddy dissipation rate can be estimated throughout the cloud layer without the constraint that clouds need to be nonprecipitating. An important implication of the conditional agreement of the two techniques at the cloud base height is that the influence of the droplet size distribution on the width of the Doppler radar spectrum can be derived. This derived term can be used to constrain retrievals of drizzle properties and provides a means to validate microphysics parameterizations in numerical models.

Contacts (BER PM)
Shaima Nasiri
ASR Deputy Program Manager
Sally McFarlane
ARM Program Manager

 (PI Contact)
Paloma Borque
McGill University

This research was supported in part under Contract DE-SC00112704 by the Atmospheric System Research program, Office of Biological and Environmental Research, U.S. Department of Energy. Data used were obtained from the ARM data archive at http://www.archive.arm.gov.

Borque, P., E. Luke, and P. Kollias. 2016. “On the Unified Estimation of Turbulence Eddy Dissipation Rate Using Doppler Cloud Radars and Lidars,” Journal of Geophysical Research Atmospheres 121(10), 5972-89. DOI : 10.1002/2015JD024543. (Reference link)

Topic Areas:

  • Research Area: Earth and Environmental Systems Modeling
  • Research Area: Atmospheric System Research
  • Facility: DOE ARM User Facility

Division: SC-23.1 Climate and Environmental Sciences Division, BER


BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER

Recent Highlights

May 10, 2019
Quantifying Decision Uncertainty in Water Management via a Coupled Agent-Based Model
Considering risk perception can improve the representation of human decision-making processes in age [more...]

May 09, 2019
Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Scenarios
Study provides country-specific urban area growth models and the first dataset on country-level urba [more...]

May 05, 2019
Calibrating Building Energy Demand Models to Refine Long-Term Energy Planning
A new, flexible calibration approach improved model accuracy in capturing year-to-year changes in bu [more...]

May 03, 2019
Calibration and Uncertainty Analysis of Demeter for Better Downscaling of Global Land Use and Land Cover Projections
Researchers improved the Demeter model’s performance by calibrating key parameters and establi [more...]

Apr 22, 2019
Representation of U.S. Warm Temperature Extremes in Global Climate Model Ensembles
Representation of warm temperature events varies considerably among global climate models, which has [more...]

List all highlights (possible long download time)