skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A new subgrid-scale representation of hydrometeor fields using a multivariate PDF

Abstract

The subgrid-scale representation of hydrometeor fields is important for calculating microphysical process rates. In order to represent subgrid-scale variability, the Cloud Layers Unified By Binormals (CLUBB) parameterization uses a multivariate probability density function (PDF). In addition to vertical velocity, temperature, and moisture fields, the PDF includes hydrometeor fields. Previously, hydrometeor fields were assumed to follow a multivariate single lognormal distribution. Now, in order to better represent the distribution of hydrometeors, two new multivariate PDFs are formulated and introduced.The new PDFs represent hydrometeors using either a delta-lognormal or a delta-double-lognormal shape. The two new PDF distributions, plus the previous single lognormal shape, are compared to histograms of data taken from large-eddy simulations (LESs) of a precipitating cumulus case, a drizzling stratocumulus case, and a deep convective case. Finally, the warm microphysical process rates produced by the different hydrometeor PDFs are compared to the same process rates produced by the LES.

Authors:
;
Publication Date:
Research Org.:
Univ. of Wisconsin, Milwaukee, WI (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1255458
Alternate Identifier(s):
OSTI ID: 1311614
Grant/Contract Number:  
SC0008323
Resource Type:
Published Article
Journal Name:
Geoscientific Model Development (Online)
Additional Journal Information:
Journal Name: Geoscientific Model Development (Online) Journal Volume: 9 Journal Issue: 6; Journal ID: ISSN 1991-9603
Publisher:
Copernicus GmbH
Country of Publication:
Germany
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Griffin, Brian M., and Larson, Vincent E. A new subgrid-scale representation of hydrometeor fields using a multivariate PDF. Germany: N. p., 2016. Web. doi:10.5194/gmd-9-2031-2016.
Griffin, Brian M., & Larson, Vincent E. A new subgrid-scale representation of hydrometeor fields using a multivariate PDF. Germany. doi:10.5194/gmd-9-2031-2016.
Griffin, Brian M., and Larson, Vincent E. Fri . "A new subgrid-scale representation of hydrometeor fields using a multivariate PDF". Germany. doi:10.5194/gmd-9-2031-2016.
@article{osti_1255458,
title = {A new subgrid-scale representation of hydrometeor fields using a multivariate PDF},
author = {Griffin, Brian M. and Larson, Vincent E.},
abstractNote = {The subgrid-scale representation of hydrometeor fields is important for calculating microphysical process rates. In order to represent subgrid-scale variability, the Cloud Layers Unified By Binormals (CLUBB) parameterization uses a multivariate probability density function (PDF). In addition to vertical velocity, temperature, and moisture fields, the PDF includes hydrometeor fields. Previously, hydrometeor fields were assumed to follow a multivariate single lognormal distribution. Now, in order to better represent the distribution of hydrometeors, two new multivariate PDFs are formulated and introduced.The new PDFs represent hydrometeors using either a delta-lognormal or a delta-double-lognormal shape. The two new PDF distributions, plus the previous single lognormal shape, are compared to histograms of data taken from large-eddy simulations (LESs) of a precipitating cumulus case, a drizzling stratocumulus case, and a deep convective case. Finally, the warm microphysical process rates produced by the different hydrometeor PDFs are compared to the same process rates produced by the LES.},
doi = {10.5194/gmd-9-2031-2016},
journal = {Geoscientific Model Development (Online)},
number = 6,
volume = 9,
place = {Germany},
year = {2016},
month = {6}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.5194/gmd-9-2031-2016

Citation Metrics:
Cited by: 3 works
Citation information provided by
Web of Science

Save / Share: