New approach uses relationships between vertical motions and precipitation amount to improve small-scale vertical transport in models.
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.
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.
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)
Atmospheric System Research
ARM Climate Research Facility
Pacific Northwest National Laboratory
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.
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)
SC-33.1 Earth and Environmental Sciences Division, BER
BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER
Mar 23, 2021
Molecular Connections from Plants to Fungi to Ants
Lipids transfer energy and serve as an inter-kingdom communication tool in leaf-cutter ants&rsqu [more...]
Mar 19, 2021
Microbes Use Ancient Metabolism to Cycle Phosphorus
Microbial cycling of phosphorus through reduction-oxidation reactions is older and more widespre [more...]
Feb 22, 2021
Warming Soil Means Stronger Microbe Networks
Soil warming leads to more complex, larger, and more connected networks of microbes in those soi [more...]
Jan 27, 2021
Labeling the Thale Cress Metabolites
New data pipeline identifies metabolites following heavy isotope labeling.
Aug 31, 2020
Novel Bacterial Clade Reveals Origin of Form I Rubisco
List all highlights (possible long download time)