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. In conclusion, 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)
- 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 Publications, EGU
- 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. https://doi.org/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. https://doi.org/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. In conclusion, 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 = {Fri Jun 03 00:00:00 EDT 2016},
month = {Fri Jun 03 00:00:00 EDT 2016}
}
https://doi.org/10.5194/gmd-9-2031-2016
Web of Science
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