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

BER Research Highlights


New Parameterization Will Help Improve Convection in Global Models
Published: April 04, 2017
Posted: May 10, 2017

New approach uses relationships between vertical motions and precipitation amount to improve small-scale vertical transport in models.

The Science
Vertical motions in the atmosphere are the primary drivers for cloud and precipitation formation, and they play an important role in redistributing condensed water in the vertical column. This vertical transport is difficult to represent in climate models because it happens primarily at scales smaller than a typical model grid size. To lessen the problem, a pair of researchers, including one at the U.S. Department of Energy’s Pacific Northwest National Laboratory, developed a new approach for computing the vertical fluxes of hydrometeors (e.g., rain, graupel, snow, ice) based on statistical relationships between cloud and precipitation properties and vertical motions.

The Impact
Vertical transport of hydrometeors from the new representation closely matches the benchmark, high-resolution simulation. The new modeling approach will help improve the representation of convection in global models.

Summary
Researchers developed a new parameterization to represent the vertical transport of hydrometeors in global models and validated it with benchmark, high-resolution numerical simulations of continental and tropical convection driven by ARM observations. Scientists developed this approach by using probability density functions (PDFs) to treat subgrid-scale variability in coarse-resolution models. The new hydrometeor transport representation conditionally samples PDFs of vertical velocity and condensate amounts, and then scales the distributions to account for different correlations in regions of strong and weak vertical motions. The represented transport fluxes—tested for four episodes of deep convection—agreed well with benchmark fluxes computed directly from the cloud-resolving model output. The results demonstrated the potential use of the subgrid-scale hydrometeor transport formulation in an assumed PDF to represent the co-variances of vertical velocity and hydrometeor mixing ratios.

Contacts (BER PMs)
Shaima Nasiri
Atmospheric System Research
Shaima.Nasiri@science.doe.gov 

Sally McFarlane
ARM Climate Research Facility
Sally.McFarlane@science.doe.gov

(PI Contact)
Mikhail Ovchinnikov
Pacific Northwest National Laboratory
Mikhail.Ovchinnikov@pnnl.gov

Funding
The U.S. Department of Energy (DOE) Office of Science, Biological and Environmental Research supported this research as part of the Atmospheric System Research program. The National Energy Research Scientific Computing Center provided computing resources for the simulations. Data were obtained from the Atmospheric Radiation Measurement (ARM) Climate Research Facility, a DOE Office of Science user facility sponsored by the Office of Biological and Environmental Research.

Publication
M. Wong and M. Ovchinnikov, “A PDF-Based Parameterization of Subgrid-Scale Hydrometeor Transport in Deep Convection.” Journal of the Atmospheric Sciences 74, 1293-1309 (2017). [DOI: 10.1175/JAS-D-16-0146.1] (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

 

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